computer architecture thesis topics

Computer Architecture Research Topics for MS PhD

Computer architecture research topic ideas for ms, or ph.d. degree.

I am sharing with you some of the research topics regarding Computer Architecture that you can choose for your research proposal for the thesis work of MS, or Ph.D. Degree.

• Novel computer architectures and quantum chemistry
• Validation of Abstract Side-Channel Models for Computer Architectures
• X-Centric: A Survey on Compute-, Memory-and Application-Centric Computer Architectures
• Computer architecture
• Multilevel Monte Carlo Sampling on Heterogeneous Computer Architectures
• Custom hardware optimizations for reliable and high performance computer architectures
• CONSCIOUSNESS IN COMPUTER ARCHITECTURES: THE THEORY OF EXPELLED SCRIPTS1
• Guest Editors’ Introduction to the Special Issue on Machine Learning Architectures and Accelerators
• Gan compression: Efficient architectures for interactive conditional gans
• Advances in Architectures and Theories for Computer Vision
• Bounded incoherence: A programming model for non-cache-coherent shared memory architectures
• PRESENT COMPUTER ARCHITECTURES AND THE POTENTIAL OF OPTICS
• π-RT: A Runtime Framework to Enable Energy-Efficient Real-Time Robotic Vision Applications on Heterogeneous Architectures
• Roc: A reconfigurable optical computer for simulating physical processes
• Towards exploring the potential of alternative quantum computing architectures
• Towards a computer aided diagnosis (CAD) for brain MRI glioblastomas tumor exploration based on a deep convolutional neuronal networks (D-CNN) architectures
• Hierarchical algorithms on hierarchical architectures
• A simple method for rejection sampling efficiency improvement on SIMT architectures
• Modern Architectures for Core Computer Vision on Videos
• A Novel Approach based on Microservices Architectures and Computer Vision to improve access to Culture Heritage
• Fine-Grained Instruction Placement in Polymorphic Computing Architectures
• A Study on CNN Architectures for Chest X-Rays Multiclass Computer-Aided Diagnosis
• Computer Organization & Design
• Towards computer-network architectures for the digital transformation of large-scale systems
• Improving Performance of the Hypre Iterative Solver for Uintah Combustion Codes on Manycore Architectures Using MPI Endpoints and Kernel Consolidation
• Deep Learning: Concepts and Architectures
• A semi-supervised assessor of neural architectures
• Sparse Linear Algebra Toolkit for Computational Aerodynamics
• Learning architectures for binary networks
• Scalable molecular dynamics on CPU and GPU architectures with NAMD
• … toolkit: a key European free and open-source software for Deep Learning and Computer Vision ready to exploit heterogeneous HPC and cloud architectures
• Comparing different deep learning architectures for classification of chest radiographs
• Evaluation of neural architectures trained with square loss vs cross-entropy in classification tasks
• High performance computing systems
• Energy-efficient Parallel and Distributed Multi-objective Feature Selection on Heterogeneous Architectures
• Towards a quantum speedup via applications and architectures
• A survey on coarse-grained reconfigurable architectures from a performance perspective
• Deep Learning Architectures
• A survey of accelerator architectures for deep neural networks
• Mechanically flexible viscosity sensor for real‐time monitoring of tubular architectures for industrial applications
• Performance of Coupled-Cluster Singles and Doubles on Modern Stream Processing Architectures
• Attention u-net based adversarial architectures for chest x-ray lung segmentation
• Evolving deep learning architectures for network intrusion detection using a double PSO metaheuristic
• Searching efficient 3d architectures with sparse point-voxel convolution
• Peeling off image layers on topographic architectures
• A Portable SIMD Primitive Using Kokkos for Heterogeneous Architectures
• Development and Analysis of Deep Learning Architectures
• Architectures and emerging trends in Internet of Things and Cloud computing: a literature review
• Deep Convolutional Neural Network Architectures for Tonal Frequency Identification in a Lofargram
• Macro and Micro Architectures for Network on Chip: A Review
• Late temporal modeling in 3d cnn architectures with bert for action recognition
• Considerations about the Implementation of Mini-MAP Architectures on a Front-End Processor
• Security in Microservices Architectures
• Cellular ceramic architectures produced by hybrid additive manufacturing: a review on the evolution of their design
• Review and evaluation of deep learning architectures for efficient land cover mapping with UAS hyper-spatial imagery: A case study over a wetland
• DeePar-SCA: Breaking Parallel Architectures of Lattice Cryptography via Learning Based Side-Channel Attacks
• Methodological aspects for cognitive architectures construction: a study and proposal
• Securing Machine Learning Architectures and Systems
• Meta-learning of neural architectures for few-shot learning
• A review on embedded field programmable gate array architectures and configuration tools
• Quantum computer architecture: Towards full-stack quantum accelerators
• Chaotic Architectures: a New Trend in Computers
• High-throughput fuzzy clustering on heterogeneous architectures
• Learned Transferable Architectures Can Surpass Hand-Designed Architectures for Large Scale Speech Recognition
• A Review of Services-Based Architectures for Video Surveillance
• Comparing Architectures of Neural Networks for an Integration in Enterprise Systems: A Retail Case Study
• Quantum computer systems for scientific discovery
• Aggregated Control of Quantum Computations: When Stacked Architectures Are Too Good to Be Practical Soon
• Towards suitable description of reference architectures
• Quantum Simulators: Architectures and Opportunities
• Cyber-physical systems architectures for industrial internet of things applications in Industry 4.0: A literature review
• A–Z survey of Internet of Things: Architectures, protocols, applications, recent advances, future directions and recommendations
• Deep learning architectures analysis for age-related macular degeneration segmentation on optical coherence tomography scans
• Scalable Specialization: Architectures, Interfaces, & Applications
• Image-Based malware classification using ensemble of CNN architectures (IMCEC)
• SDN/NFV architectures for edge-cloud oriented IoT: A systematic review
• X3d: Expanding architectures for efficient video recognition
• Mobiledets: Searching for object detection architectures for mobile accelerators
• Evaluation of Deep Learning architectures for System Identification. Applications for a household heating system
• An updated survey of efficient hardware architectures for accelerating deep convolutional neural networks
• An overview of deep learning architectures in few-shot learning domain
• Finding and Exploiting Memory-Level-Parallelism in Constrained Speculative Architectures
• Deep learning approaches for neural decoding across architectures and recording modalities
• Similarity-Based Clustering for Enhancing Image Classification Architectures
• Task Mapping and Scheduling for OpenVX Applications on Heterogeneous Multi/Many-core Architectures
• Digital image processing methods
• Heuristics-based mediation for building smart architectures at run-time
• STEP-NC Architectures for Industrial Robotic Machining: Review, Implementation and Validation
• Computer‐aided diagnosis of breast ultrasound images using ensemble learning from convolutional neural networks
• A taxonomy of load balancing mechanisms in centralized and distributed SDN architectures
• Deep learning architectures
• Dynamic-sos: An approach for the simulation of systems-of-systems dynamic architectures
• A comparative analysis of deep learning architectures on high variation malaria parasite classification dataset
• Panna: Properties from artificial neural network architectures
• Gastrointestinal diseases segmentation and classification based on duo-deep architectures
• Research of Neural Network Architectures for Solving Adaptive Routing Problems in Multiprovider Networks of Distributed Data Centers
• Blockchain Architectures for Physical Internet: A Vision, Features, Requirements, and Applications
• Translating Numerical Concepts for PDEs into Neural Architectures
• UNITOR@ DANKMEMES: Combining Convolutional Models and Transformer-based architectures for accurate MEME management
• SoFAr: Shortcut-based Fractal Architectures for Binary Convolutional Neural Networks
• Contrastive Embeddings for Neural Architectures
• An efficient uncertain graph processing framework for heterogeneous architectures
• Lung cancer classification with Convolutional Neural Network Architectures
• Blockchain for cybersecurity and privacy: architectures, challenges, and applications
• Learning sparse sharing architectures for multiple tasks
• Integrated structured light architectures
• Understanding the relationships between information architectures and business models: An empirical study on the success configurations of smart communities
• 5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges
• Image-Based Plant Disease Identification by Deep Learning Meta-Architectures
• Deep Learning Architectures and Techniques for Multi-organ Segmentation
• … triage: a semiologic approach designed for clinical implementation, exploiting different types of labels through a combination of four Deep Learning architectures
• What shapes feature representations? Exploring datasets, architectures, and training
• Domain-Specific Computing Architectures and Paradigms
• ADVANCING COMPILER OPTIMIZATIONS FOR GENERAL-PURPOSE & DOMAIN-SPECIFIC PARALLEL ARCHITECTURES
• Parallel stochastic gradient descent on multicore architectures
• Comparison of radio-frequency power architectures for plasma generation
• Fine-grained Scheduling in Heterogeneous-ISA Architectures
• Experimenting with Convolutional Neural Network Architectures for the automatic characterization of Solitary Pulmonary Nodules’ malignancy rating
• DeepGrip: Cricket Bowling Delivery Detection with Superior CNN Architectures
• Connected vehicles in the IoV: concepts, technologies and architectures
• Implementing a neural network interatomic model with performance portability for emerging exascale architectures
• Exploration of Hardware Architectures for String Matching Algorithms in Network Intrusion Detection Systems
• Sentiment analysis using deep learning architectures: a review
• Towards Accurate and Compact Architectures via Neural Architecture Transformer
• MicroNets: Neural network architectures for deploying TinyML applications on commodity microcontrollers
• A Survey of System Architectures and Techniques for FPGA Virtualization
• An Experimental Review on Deep Learning Architectures for Time Series Forecasting
• Scalable parallel flash firmware for many-core architectures
• Deep Learning Architectures: A Hierarchy in Convolution Neural Network Technologies
• Blockchain applications and architectures for port operations and logistics management
• SEMANTIC REVIEW ON SOFTWARE ARCHITECTURES FOR WEB-BASED APPLICATIONS
• Learning architectures from an extended search space for language modeling
• Neural network architectures for the detection of SYN flood attacks in IoT systems
• Learning Versatile Neural Architectures by Propagating Network Codes
• Mocktails: capturing the memory behaviour of proprietary mobile architectures
• Nanostructured architectures for biomolecular detection inside and outside the cell
• RansomListener: Ransom Call Sound Investigation Using LSTM and CNN Architectures
• Neural Network architectures to classify emotions in Indian Classical Music
• ArcText: A Unified Text Approach to Describing Convolutional Neural Network Architectures
• Comparison of Convolutional Neural Network Architectures on Dermastopic Imagery
• Review on deep learning techniques for marine object recognition: Architectures and algorithms
• A survey of Life Cycle Inventory database implementations and architectures, and recommendations for new database initiatives
• Hardware/software co-exploration of neural architectures
• Immunetnas: An immune-network approach for searching convolutional neural network architectures
• Artificial Cognitive Architectures Review
• On data lake architectures and metadata management
• Semantic segmentation of HeLa cells: An objective comparison between one traditional algorithm and four deep-learning architectures
• Volcanic Seismic Event Classification based on CNN Architectures
• Cache Leakage Reduction Techniques for Hybrid SPM-Cache Architectures
• Fast, small, and area-time efficient architectures for key-exchange on curve25519
• SNAP: Shaping Neural Architectures Progressively via Information Density Criterion
• Comparison of convolutional neural network architectures for classification of tomato plant diseases
• Comparison of different optimizers implemented on the deep learning architectures for COVID-19 classification
• Performance Evaluation of Memory-Centric ARMv8 Many-Core Architectures: A Case Study with Phytium 2000+
• Blockchain for smart cities: A review of architectures, integration trends and future research directions
• F5: Enabling New System Architectures with 2.5 D, 3D, and Chiplets
• A Reconfigurable Branch Predictor for Spatial Computing Architectures
• Consensus Driven Self-Organization: Towards Non Hierarchical Multi-Map Architectures
• Toward New Intelligent Architectures for the Internet of Vehicles
• Budgeted Subset Selection for Fine-tuning Deep Learning Architectures in Resource-Constrained Applications
• Securing Microservices and Microservice Architectures: A Systematic Mapping Study
• Guest Editorial: IEEE TC Special Issue on Domain-Specific Architectures for Emerging Applications
• Efficient processing of vision kernels and deep neural networks on reconfigurable computing architectures
• … of real-time medical simulations with soft-tissue deformation: Computational approaches, interaction devices, system architectures, and clinical validations
• Parkinson’s Disease Detection with Ensemble Architectures based on ILSVRC Models
• Comparison of alternative architectures in fog computing
• Improving Architectures of Binary Signed-Digit CORDIC With Generic/Specific Initial Angles
• Multigrid-in-Channels Architectures for Wide Convolutional Neural Networks
• Between Borders and Bodies: Revealing the Architectures of Immigration Detention
• Trading off Latency for Memory Bandwidth in Spatial Architectures using the Polyhedral Model
• Improving the Designs of Nearest Neighbour Quantum Circuits for 1D and 2D Architectures
• Design-Time Optimization of Reconfigurable PV Architectures for Irregular Surfaces
• Neuroevolution of Neural Network Architectures Using CoDeepNEAT and Keras.
• Understanding Methodology for Efficient CNN Architectures in Profiling Attacks
• There’s plenty of room at the Top: What will drive computer performance after Moore’s law?
• Comparison of RISC-V and transport triggered architectures for a post-quantum
• Guest Editorial: Special Issue on Enabling Massive IoT With 6G: Applications, Architectures, Challenges, and Research Directions
• MEMPHA: Model of Exascale Message-Passing Programs on Heterogeneous Architectures
• Quantum cnot circuits synthesis for nisq architectures using the syndrome decoding problem
• Using convolutional neural networks for recognition of objects varied in appearance in computer vision for intellectual robots
• Internet of Things Architectures: A Comparative Study
• Illumination-robust face recognition based on deep convolutional neural networks architectures
• Circuit depth reduction for gate-model quantum computers
• On tower and checkerboard neural network architectures for gene expression inference
• Audio tagging and deep architectures for acoustic scene classification: Uos submission for the DCASE 2020 challenge
• A Review of the Evolution of Deep Learning Architectures and Comparison of their Performances for Histopathologic Cancer Detection
• Applying fully convolutional architectures for semantic segmentation of a single tree species in urban environment on high resolution UAV optical imagery
• Affinitention nets: kernel perspective on attention architectures for set classification with applications to medical text and images
• Circuits and Architectures for In-Memory Computing-Based Machine Learning Accelerators
• Towards Dynamic and Partial Reconfigurable Hardware Architectures for Cryptographic Algorithms on Embedded Devices
• Nonvolatile low-cost approximate spintronic full adders for computing in memory architectures
• A Simulation Tool for Evaluating Video Streaming Architectures in Vehicular Network Scenarios
• Exploring Energy Efficient Architectures for RLWE Lattice-Based Cryptography
• Detection And Classification Of Brain Tumor With Deep Learning Architectures
• Classification based scheduling in Heterogeneous ISA Architectures
• Deep learning architectures for the analysis and classification of brain tumors in MR images
• Back to the Future: Towards Hardware” Netputing” Architectures (position paper)
• GaaS-X: graph analytics accelerator supporting sparse data representation using crossbar architectures
• An Overview of Neural Network Architectures for Healthcare
• Performance Evaluation of Adversarial Examples on Deep Neural Network Architectures
• An Intuitive Extensible Framework for Implementing Cloud Broker Architectures
• Designing Convolutional Neural Network Architectures Using Cartesian Genetic
• Disentangling Neural Architectures and Weights: A Case Study in Supervised Classification
• Fine-Tuning Deep Learning Architectures for Early Detection of Oral Cancer
• Single-Cell Conventional Pap Smear Image Classification Using Pre-Trained Deep Neural Network Architectures
• Survey on the internet of vehicles: Network architectures and applications
• Low-cost computational systems applied to physical architectures in public transportation systems of intermediate cities
• Algorithms and Architectures for High Performance Kernel Adaptive Filtering
• Architectures, frameworks, and applications in IoT-based smart environment: a review
• Cache Memory Architectures for Handling Big Data Applications: A Survey
• Evaluating the Impact of Inter Process Communication in Microservice Architectures
• Security architectures for sensitive Data in Cloud Computing
• Conventional and Non-Conventional ANNs in Medical Diagnostics: A Tutorial Survey of Architectures, Algorithms, and Application
• Investigating conditional GAN performance with different generator architectures, an ensemble model, and different MR scanners for MR-sCT conversion
• Network architectures supporting learnability
• A Comparative Study of Neural Network Architectures for Lesion Segmentation and Melanoma Detection
• Decoherence dynamics estimation for superconducting gate-model quantum computers
• Efficient and Fast Hardware Architectures for SIKE Round 2 on FPGA
• Thermal management and performance enhancement of data centers architectures using aligned/staggered in-row cooling arrangements
• Deep learning architectures in emerging cloud computing architectures: Recent development, challenges and next research trend
• Analysis and Selection of Neural Network Architectures for Recognizing Heart Diseases by Cardiogram
• Deployment of loop-intensive applications on heterogeneous multiprocessor architectures
• Generalization Capabilities of Deep Learning Architectures for Vehicle Re-Identification
• Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis
• Exploring Different Deep Learning Architectures on a Large Chest Radiograph Dataset
• Learning algorithm for an intelligent decision making system based on multi-agent neurocognitive architectures
• Quantum ESPRESSO toward the exascale
• Neural Architectures Design and Search for Deep Learning and Continual Learning.
• RRAM-based non-volatile SRAM cell architectures for ultra-low-power applications
• On the suitability of blockchain platforms for IoT applications: Architectures, security, privacy, and performance
• Genome sequence alignment in processing-In-memory architectures
• MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures
• A comprehensive set of novel residual blocks for deep learning architectures for diagnosis of retinal diseases from optical coherence tomography images
• Next Generation Cloud Computing Architectures: Performance and Pricing
• Molecular Simulations of Supramolecular Architectures
• A Comprehensive Review of Deep Learning Architectures for Computer Vision Applications
• Detecting soccer balls with reduced neural networks: a comparison of multiple architectures under constrained hardware scenarios
• Late Temporal Modeling in 3D CNN Architectures with BERT for Action Recognition
• Quantum circuit optimizations for NISQ architectures
• The General-Purpose Modeling, Analysis, and Implementation of Software Architectures
• Optimum resource allocation in optical wireless systems with energy-efficient fog and cloud architectures
• POSTER: An Efficient Uncertain Graph Processing Framework for Heterogeneous Architectures
• Predicting Stance Change Using Modular Architectures
• Survey of transient execution attacks
• Searching better architectures for neural machine translation
• Developments in modern gnss and its impact on autonomous vehicle architectures
• SHIELDeNN: online accelerated framework for fault-tolerant deep neural network architectures
• MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures
• Melanoma classification on Dermoscopy images using Transfer learning with CNN architectures
• Automatic optic nerve head localization and cup-to-disc ratio detection using state-of-the-art deep-learning architectures
• How Cloud Computing, Artificial Intelligence and Internet of Things will Transform Energy and Utility management Architectures
• DynaCo: Dynamic Coherence Management for Tiled Manycore Architectures
• An Analysis of Deep Learning Architectures for Cancer Diagnosis
• Comparative Analysis of 5G Mobile Communication Network Architectures
• Enabling Domain-Specific Architectures with Programmable Devices
• Exploiting Process Variations to Secure Photonic NoC Architectures from Snooping Attacks
• Exploration of Optimized Semantic Segmentation Architectures for edge-Deployment on Drones
• Parallel scalability of face detection in heterogeneous multithreaded architectures
• Lung CT Screening With 3D Convolutional Neural Network Architectures
• Systematic Approach for State-of-the-Art Architectures and System-on-Chip Selection for Heterogeneous IoT Applications
• Paradigms for Effective Parallelization of Inherently Sequential Graph Algorithms on Multi-Core Architectures
• Resolving Network Defense Conflicts with Zero Trust Architectures and Other End-to-End Paradigms
• AMPLA: An Agile Process for Modeling Logical Architectures
• Architectures for enhancing bandwidth and power scalability of optical frequency combs
• Comparing the effectiveness of deep feedforward neural networks and shallow architectures for predicting stock price indices
• IoT Architectures and Its Security: A Review
• A survey of end-to-end driving: Architectures and training methods
• A survey of the recent architectures of deep convolutional neural networks
• Babel: A Generic Benchmarking Platform for Big Data Architectures
• An Area Efficient Low-Power NoC Router For Multi-core Architectures
• Healthcare 4.0: A review of frontiers in digital health
• Ephemeral Architectures: the union of concepts in the creation of an immersive experience
• The simplified fruition of inaccessible military architectures in Balkans
• On the task mapping and scheduling for DAG-based embedded vision applications on heterogeneous multi/many-core architectures
• Reliable Architectures for Composite-Field-Oriented Constructions of McEliece Post-Quantum Cryptography on FPGA
• Graph Reachability on Parallel Many-Core Architectures
• Novel deep neural network based pattern field classification architectures
• Designing carbon conductive filament memristor devices for memory and electronic synapse applications
• Design architectures for energy harvesting in the Internet of Things
• Automatic Stereo Disparity Search Range Detection on Parallel Computing Architectures
• A branch-and-bound approach to scheduling of data-parallel tasks on multi-core architectures
• Control Performance Optimization for Application Integration on Automotive Architectures
• The Design, Implementation, and Evaluation of Software and Architectural Support for Nested Virtualization on Modern Architectures
• Toward gradient bandit-based selection of candidate architectures in AutoGAN
• BDI Agent Architectures: A Survey
• Vector symbolic architectures for context-free grammars.
• Implementation of RSA Signatures on GPU and CPU Architectures
• Exploring NLMS-Based Adaptive Filter Hardware Architectures for Eliminating Power Line Interference in EEG Signals
• Performance Analysis of Accelerator Architectures and Programming Models for Parareal Algorithm Solutions of Ordinary Differential Equations
• Pods–A novel intelligent energy efficient and dynamic frequency scalings for multi-core embedded architectures in an IoT environment
• Architectures
• Performance optimised architectures of Piccolo block cipher for low resource IoT applications
• Trade-offs in Decentralized Multi-Antenna Architectures: The WAX Decomposition
• IOT based Smart Architectures Journal for Research and Innovation
• Analysis of Regularization in Deep Learning Models on Testbed Architectures
• A versatile and flexible chiplet-based system design for heterogeneous manycore architectures
• Diabetic Retinopathy Detection Using Convolutional Neural Network: A Comparative Study on Different Architectures
• iMLBench: A Machine Learning Benchmark Suite for CPU-GPU Integrated Architectures
• Self-Initiated Actions Under Different Choice Architectures Affect Framing and Target Evaluation Even Without Verbal Manipulation
• Black-box systems, multi-level explanation, and cognitive architectures.
• Comparison of MobileNet and ResNet CNN Architectures in the CNN-Based Skin Cancer Classifier Model
• Project Report: Reconsidering Decoder Architectures for Road Segmentation
• Implementation of Multifunction Residue Architectures on FPGA for Cryptography Applications
• Fault-tolerant Permanent Storage for Container-based Fog Architectures
• Advanced Learning Architectures And Spatial Statistics For Beam Selection With Multi-Path
• Quantum Machine Learning with HQC Architectures using non-Classically Simulable Feature Maps
• Paris+: Data series indexing on multi-core architectures
• Graph-based root cause analysis for service-oriented and microservice architectures
• Transfer Learning versus Custom CNN Architectures in NAFLD Biopsy Images
• Programmable metamaterials for software-defined electromagnetic control: Circuits, systems, and architectures
• Survey on Decision-Making Algorithms for Network Selection in Heterogeneous Architectures
• A study on dual-memory architectures in incremental learning
• Algorithms and Architectures for Parallel Processing: 19th International Conference, ICA3PP 2019, Melbourne, VIC, Australia, December 9–11, 2019 …
• Benchmarking deep network architectures for ethnicity recognition using a new large face dataset
• SOCIAL ENGINEERING STUDY: EXAMINING THE INFLUENCE OF CHOICE ARCHITECTURES ON TRUST AND PASSWORD PRIVACY
• Analysis and Design of Next-Generation Software Architectures
• Internet Architectures
• Device and Circuit Architectures for In‐Memory Computing
• Reference Architectures for Cloud-based Platforms: Convergence vs. Diversification.
• Twin Augmented Architectures for Robust Classification of COVID-19 Chest X-Ray Images
• Recoverability of Shipboard MVdc Architectures
• In-depth comparison of deep artificial neural network architectures on seismic events classification
• Fog Computing Architectures and Frameworks for Healthcare 4.0
• Biologically plausible neural architectures
• Formal semantics of predictable pipelines: a comparative study
• A Review on Various SRAM Architectures
• Adaptive Signal Variances: CNN Initialization Through Modern Architectures
• Internet of ships: A survey on architectures, emerging applications, and challenges
• A study of AEGIS and MI6 secure processor architectures
• Stance Detection Using Transformer Architectures and Temporal Convolutional Networks
• Demystifying Inductive Biases for -VAE Based Architectures
• Reconfigurable Domain-specific Architectures in the post-Moore’s Law World: Implications for Software Engineering
• Internet of Things: A General Overview between Architectures, Protocols and Applications
• Toward Social Internet of Things (SIoT): Enabling Technologies, Architectures and Applications
• Attention-Based Deep Gated Fully Convolutional End-to-End Architectures for Time Series Classification
• Deep In-Memory Architectures in SRAM: An Analog Approach to Approximate Computing
• Formal Algebraic Specification of an IoT/Fog Data Centre for Fat Tree or Leaf and Spine architectures
• Developing Reliable Taxonomic Features for Data Warehouse Architectures
• Empirical Evaluation of Gated Recurrent Neural Network Architectures in Aviation Delay Prediction
• System software for resource arbitration on future many-* architectures
• Internet of things for enhanced living environments, health and well-being: technologies, architectures and systems
• Comparison of CNN Architectures using RP Algorithm for Burst Signal Detection
• The Effect of Different Deep Network Architectures upon CNN-Based Gaze Tracking
• SURVEY ON VIRTUAL LOAD BALANCING ARCHITECTURES IN MOBILE CLOUD
• Developing a photonic hardware platform for brain-inspired computing based on 5× 5 VCSEL arrays
• On some neural network architectures that can represent viscosity solutions of certain high dimensional Hamilton–Jacobi partial differential equations
• Evolution of Web Systems Architectures: A Roadmap
• Runtime mechanisms to survive new HPC architectures: a use case in human respiratory simulations
• Multiphysics challenges with Heterogeneous Integrated Voltage Regulator based Power Delivery Architectures
• Optimising Network Architectures for Provable Adversarial Robustness
• Multiplexed imaging of nucleome architectures in single cells of mammalian tissue
• An Efficient Training Framework for Reversible Neural Architectures
• Portable exploitation of parallel and heterogeneous HPC architectures in neural simulation using SkePU
• Embedded computation architectures for autonomy in Unmanned Aircraft Systems (UAS)
• A machine learning approach for performance-oriented decision support in service-oriented architectures
• The fundamentals of Internet of Things: architectures, enabling technologies, and applications
• Are all deep learning architectures alike for point‐of‐care ultrasound?: evidence from a cardiac image classification model suggests otherwise
• High throughput and energy efficient FIR filter architectures using retiming and two level pipelining
• Mutual Information Decay Curves and Hyper-parameter Grid Search Design for Recurrent Neural Architectures
• Data Integration Models and Architectures for Service Alliances
• Low-complexity architectures for parallel long BCH encoders
• Blockchain for explainable and trustworthy artificial intelligence
• AXES: Approximation Manager for Emerging Memory Architectures
• “HySLAC”–A Conceptual Model for Service Level Agreement Compliance in Hybrid Cloud Architectures
• An Application of Declarative Languages in Distributed Architectures: ASP and DALI Microservices.
• Resource-aware mapreduce runtime for multi/many-core architectures
• BenderNet and RingerNet: Highly efficient line segmentation deep neural network architectures for ice rink localization
• Topological exploration for the efficient design of three-dimensional Network on Chip architectures
• Developing efficient discrete simulations on multicore and GPU architectures
• A comparative evaluation of unsupervised deep architectures for intrusion detection in sequential data streams
• Distributed MLPerf ResNet50 Training on Intel Xeon Architectures with TensorFlow
• Safety and security assessment of overall I&C architectures (SEARCH)
• Big Data Reference Architectures, a systematic literature
• Analysis of using K-means clustering with Convolutional Neural Network Architectures for Automatic Plant Leaf Disease Recognition
• Evolvable Hardware Architectures on FPGA for Side-Channel Security
• AI on the Edge: Characterizing AI-based IoT Applications Using Specialized Edge Architectures
• Programmable Quantum Annealing Architectures with Ising Quantum Wires
• Modeling Architectures and Reference Models: Development and Maintenance Open Source ERP
• Oxide transistors: unconventional architectures and their applications
• Traffic Analysis in Support of Hybrid SDN Campus Architectures for Enhanced Cybersecurity
• Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problems
• Multi-Stage Transfer Learning System with Light-weight Architectures in Medical Image Classification
• A Review of Agency Architectures in Interactive Drama Systems
• Deep learning for electronic health records: A comparative review of multiple deep neural architectures
• Low Power Area Efficient Improved DWT and AES Architectures for Secure Image Coding
• Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images
• Convolution Neural Network Architectures for Motor Imagery EEG Signal Classification
• Microservice Oriented Pipeline Architectures
• Noisy parallel hybrid model of NBGRU and NCNN architectures for remaining useful life estimation
• A New Approach to Software Effort Estimation Using Different Artificial Neural Network Architectures and Taguchi Orthogonal Arrays
• Rising from the horizon: three-dimensional functional architectures assembled with MXene nanosheets
• Adversarial BiLSTM-CRF Architectures for Extra-Propositional Scope Resolution
• A combined 3D printing/CNC micro-milling method to fabricate a large-scale microfluidic device with the small size 3D architectures: an application for tumor …
• Efficient synchronization mechanisms for scalable GPU architectures
• Mischief: A Simple Black-Box Attack Against Transformer Architectures
• A Reference Method for Performance Evaluation in Big Data Architectures
• Making the Case for Centralized Automotive E/E Architectures
• Overview of the PALM model system 6.0
• Efficient parallel implementations of sparse triangular solves for GPU architectures
• A survey on access control in IoT: models, architectures and research opportunities
• Information Systems Students’ Impressions on Learning Modeling Enterprise Architectures
• A formal hierarchy of rnn architectures
• On-Device Deep Learning Inference for System-on-Chip (SoC) Architectures
• Houston Toad and Other Chorusing Amphibian Species Call Detection Using Deep Learning Architectures
• An exact qubit allocation approach for NISQ architectures
• Directed Self-Assembly Driven Mesoscale Lithography Using Laser-Induced and Manipulated Microbubbles: Complex Architectures and Diverse Applications
• Engineering Study for Influence of Deep Neural Network Architectures on Images Recognition Quality
• Comprehensive comparison of LSM architectures for spatial data
• Exploring Heterogeneous Architectures With Tools And Applications
• A Study on Different Architectures on a 3D Garment Reconstruction Network
• Deep Learning Architectures and Tools: A Comprehensive Survey
• An information theoretic framework for classifying exoplanetary system architectures
• Fuzzy Container Orchestration for Self-adaptive Edge Architectures
• Improving scalability and reward of utility-driven self-healing for large dynamic architectures
• Comparative analysis of recurrent neural network architectures for reservoir inflow forecasting
• Strongly-ligated perovskite quantum dots with precisely controlled dimensions and architectures for white light-emitting diodes
• A classification of memory-centric computing
• Impact of New Mobility Services on Enterprise Architectures: Case Study and Problem Definition
• Critical review on various inverter topologies for PV system architectures
• Emerging social information networks applications and architectures
• End-to-end multivariate time series classification via hybrid deep learning architectures
• Dynamical Decomposition and Mapping of MPMCT Gates to Nearest Neighbor Architectures
• Research Landscape of Patterns and Architectures for IoT Security: A Systematic Review
• Complex Multiplier Architectures on VLSI
• Overcoming the curse of dimensionality for some Hamilton–Jacobi partial differential equations via neural network architectures
• Secure Boot for Reconfigurable Architectures
• HIDRA: Head Initialization across Dynamic targets for Robust Architectures
• … SENTIENT–BUILDING INFORMATION MODEL: A DIGITAL TWIN FOR THE MANAGEMENT OF MUSEUM COLLECTIONS IN HISTORICAL ARCHITECTURES
• Handling evolution in big data architectures
• Feynman-Kac Neural Network Architectures for Stochastic Control Using Second-Order FBSDE Theory
• Intelligent HTTP Request Distribution Strategies in One and Two-Layer Architectures of Cloud-Based Web Systems
• The Architectures of Geoffrey Hinton
• A Review on Deep Learning Architectures for Speech Recognition
• Designing microservice architectures for scalability and reliability in e-commerce
• New architectures of supramolecular H-bonded liquid crystal complexes based on dipyridine derivatives
• Deployment Architectures for Cyber-Physical Control Systems
• A systematic literature review on ICT architectures for smart Mauritian local council
• Vector Forward Mode Automatic Differentiation on SIMD/SIMT architectures
• RabbitMash: Accelerating hash-based genome analysis on modern multi-core architectures
• Quantum state optimization and computational pathway evaluation for gate-model quantum computers
• 5G Network Slicing: Principles, Architectures, and Challenges
• : Achieving Predictable Distributed DNN Training with Serverless Architectures
• Comparing feedforward and recurrent neural network architectures with human behavior in artificial grammar learning
• New Adiabatic Error Tolerant Adder I Architectures
• Evaluation of programming models for manycore and/or heterogeneous architectures for Monte Carlo neutron transport codes
• Reconfiguring DNA Nanotube Architectures via Selective Regulation of Terminating Structures
• Reproducibility model for wireless sensor networks parallel simulations
• Brian Massumi, Architectures of the Unforeseen: Essays on the Occurrent Arts
• Comparative Framework for the Analysis of Thermal and Resource Management Algorithms for Multi-Core Architectures
• Partial Differential Equations is All You Need for Generating Neural Architectures
• An Empirical Research on the Effectiveness of Different LSTM Architectures on Vietnamese Stock Market
• Orbital edge computing: Nanosatellite constellations as a new class of computer system
• Optimizing Green Energy Consumption of Fog Computing Architectures
• Comparative study of open IoT architectures with TOGAF for industry implementation
• DNSS2: improved ab initio protein secondary structure prediction using advanced deep learning architectures
• Area Efficient Functional Locking through Coarse Grained Runtime Reconfigurable Architectures
• Blueprint for a scalable photonic fault-tolerant quantum computer
• Are labels necessary for neural architecture search?
• Distinguishing computer-generated images from natural images using channel and pixel correlation
• Architectures and Applications of Internet of Things based Smart Devices
• Unitas Multiplex. Biological architectures of consciousness
• Design and Testing of Clustered Components For Modular Spacecraft Architectures
• FPGA Logic Block Architectures for Efficient Deep Learning Inference
• A case study about different network architectures in Federated Machine Learning
• Approaches for Describing Reference Architectures: A Systematic Mapping Study
• Survey on Deep Learning Architectures in Identification of Crop Pests and Diseases
• When nas meets robustness: In search of robust architectures against adversarial attacks
• Optimizing B $$^ $$-Tree Searches on Coupled CPU-GPU Architectures
• Performance analysis of mobile cloud computing architectures for mHealth app
• TNL: NUMERICAL LIBRARY FOR MODERN PARALLEL ARCHITECTURES
• Novel efficient RNN and LSTM-like architectures: Recurrent and gated broad learning systems and their applications for text classification
• Data Compression and Re-computation Based Performance Improvement in Multi-Core Architectures
• Modeling mechanical functional architectures in SysML
• Toward watermarking compressed data in columnar database architectures
• The Role of Non-Positional Arithmetic on Efficient Emerging Cryptographic Algorithms
• How Low Can You Go? Reducing Frequency and Time Resolution in Current CNN Architectures for Music Auto-tagging
• Deciding on the total number of product architectures
• Classification of 40 Different Human Movements with CNN Architectures and Comparison of Their Performance
• INTERRUPTION DETECTION SYSTEM ARCHITECTURES IN MANET
• Research Progress of Zero-Shot Learning Beyond Computer Vision
• 5G Military Application Scenarios and Private Network Architectures
• Towards automated computer vision: analysis of the AutoCV challenges 2019
• Performance Management in Clustered Edge Architectures Using Particle Swarm Optimization
• High Level Transformation Techniques for Designing Reliable and Secure DSP Architectures
• A Survey on Internet of Things (IoT): Layer-Specific, Domain-Specific and Industry-Defined Architectures
• Hardware Architectures for Accelerating Machine Learning & a Deeper Dive into CUDA and Tensor Cores
• Crowdsensing architectures for smart cities
• Non-functional considerations of time-randomized processor architectures
• EvoFlow: A Python library for evolving deep neural network architectures in tensorflow
• Scalable and reliable multi-dimensional sensor data aggregation in data streaming architectures
• Why and when should you pool? Analyzing Pooling in Recurrent Architectures
• Approach for Evolving Sensing and Actuation Devices in Cyberphysical Systems Architectures
• Bioactive glass scaffold architectures regulate patterning of bone regeneration in vivo
• Using Multi-core Architectures to Improve the Performance of Real-time Dynamic Binary Instrumentation
• Towards metrics for analyzing system architectures modeled with EAST-ADL
• An intelligent anomaly detection scheme for micro-services architectures with temporal and spatial data analysis
• Low Complexity of VLSI Computational Architectures for the ACT Techniques
• Design Space Exploration of Stochastic Computing Architectures Implemented using Integrated Optics
• Sparse Sensing Architectures with Optimal Precision for Tracking Multi-agent Systems in Sensing-denied Environments
• Prosthetic architectures of the senses: museums and immersion
• Advances in Deep Learning Towards Fire Emergency Application: Novel Architectures, Techniques and Applications of Neural Networks
• Knowledge graph for identifying hazards on construction sites: Integrating computer vision with ontology
• Single-and dual-objective light-sheet microscope architectures for cleared tissues: a simulation-based performance comparison
• Optimized hybrid service brokering for multi-cloud architectures
• Cost-Driven Integration Architectures for Multi-Die Silicon Systems
• LRP-Based path relevances for global explanation of deep architectures
• SIKE’d up: Fast hardware architectures for supersingular isogeny key encapsulation
• Optimizing the Recognition and Feature Extraction of Wind Turbines through Hybrid Semantic Segmentation Architectures
• Thermal barrier coatings with novel architectures for diesel engine applications
• A Survey of Resource Management for Processing-In-Memory and Near-Memory Processing Architectures
• Possibilities and Challenges for Reconfigurable Hardware and Cloud Architectures in Data-Intensive Scientific Applications
• Improving Inference Latency and Energy of DNNs through Wireless Enabled Multi-Chip-Module-based Architectures and Model Parameters Compression
• tpSpMV: A two-phase large-scale sparse matrix-vector multiplication kernel for manycore architectures
• Large-Scale Optical Switch Architectures for Intra-Datacentre Networks
• Segmentation of 2D Echocardiography Images using Residual Blocks in U-Net Architectures
• Exploiting Cognitive Architectures to Design Storytelling Activities for NarRob
• A Maximum Concurrent Flow Technique for Optimized Data Routing in IoT Architectures
• Low-complexity deep learning and RBFN architectures for modulation classification of space-time block-code (STBC)-MIMO systems
• Nanofabrication approaches for functional three-dimensional architectures
• Evaluation of memory performance in NUMA architectures using Stochastic Reward Nets
• Reference architectures for ambient assisted living: a scoping review protocol
• Concurrent design of product and supply chain architectures for modularity and flexibility: process, methods, and application
• Bi-Directional Timing-Power Optimisation on Heterogeneous Multi-Core Architectures
• An Efficient Mobility Management Scheme for 5G Network Architectures
• Deep learning in computer vision: principles and applications
• Integrating Multiomics Information in Deep Learning Architectures for Joint Actuarial Outcome Prediction in Non-Small Cell Lung Cancer Patients After Radiation …
• 40 years of cognitive architectures: core cognitive abilities and practical applications
• Text synthesis from keywords: a comparison of recurrent-neural-network-based architectures and hybrid approaches
• Towards smart cities: challenges, components, and architectures
• A fast and scalable architecture to run convolutional neural networks in low density FPGAs
• On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures
• Structural brain architectures match intrinsic functional networks and vary across domains: a study from 15 000+ individuals
• Intra-data center interconnects, networking, and architectures
• Deep learning-enabled medical computer vision
• Orthogonal persistence in nonvolatile memory architectures: A persistent heap design and its implementation for a Java Virtual Machine
• ExaWind: A multifidelity modeling and simulation environment for wind energy
• A methodology to benchmark flexible payload architectures in a megaconstellation use case
• Biomedical Data Classification with Improvised Deep Learning Architectures
• Approaches for describing reference architectures: A systematic mapping study
• Architectures for Combining Discrete-event Simulation and Machine Learning
• FineStream: Fine-Grained Window-Based Stream Processing on CPU-GPU Integrated Architectures
• Nanosatellite electrical power system architectures: Models, simulations, and tests
• Radio network planning towards 5G mmWave standalone small-cell architectures
• Impact of physical layer impairments on large ROADM architectures
• Habana labs purpose-built AI inference and training processor architectures: Scaling AI training systems using standard Ethernet with Gaudi processor
• Neuromorphic Architectures for Fast Low-Power Robot Perception, Work Unit IT015-09-41-1G25
• NAS-Bench-NLP: neural architecture search benchmark for natural language processing
• Big Data Architectures for Vehicle Data Analysis
• Compositional generalization in semantic parsing: Pre-training vs. specialized architectures
• Performance Optimization for Sparse Matrix Factorization Algorithms on Hybrid Multicore Architectures
• Identification of Sport News in Turkish Tweets Using Deep Learning Architectures
• Depicting probabilistic context awareness knowledge in deliberative architectures
• A Multi-Dimensional Configuration Algorithm for Modular Product Architectures
• Using internal micro-scale architectures from additive manufacturing to increase material efficiency
• Square disks‐based crossed architectures of SnO2 for ethanol gas sensing applications—An experimental and theoretical investigation
• End-to-end architectures for asr-free spoken language understanding
• Graph Neural Networks: Architectures, Stability, and Transferability
• Evolution of the Performance of Pipelined FFT Architectures Through the Years
• Realization of Efficient Architectures for Digital Filters: A Survey
• Three-Dimensional Ternary Hybrid Architectures Constructed from Graphene, MoS2, and Graphitic Carbon Nitride Nanosheets as Efficient Electrocatalysts for …
• Modeling temperature distribution and power consumption in IT server enclosures with row-based cooling architectures
• Caching techniques to improve latency in serverless architectures
• A review of the real-time monitoring of fluid-properties in tubular architectures for industrial applications
• FPGA Architectures for Approximate Dense SLAM Computing
• Quantum linear network coding for entanglement distribution in restricted architectures
• A review of deep learning with special emphasis on architectures, applications and recent trends
• An adaptive, utilization-based approach to schedule real-time tasks for ARM big. LITTLE architectures
• Application of various machine learning architectures for crash prediction, considering different depths and processing layers
• The upsurge of deep learning for computer vision applications
• Permeability and fluid flow-induced wall shear stress in bone scaffolds with TPMS and lattice architectures: A CFD analysis
• A comparison of vector symbolic architectures
• A Model-Based Systems Engineering Approach for the Efficient Specification of Test Rig Architectures for Flight Control Computers
• AI on the Edge: Rethinking AI-based IoT Applications Using Specialized Edge Architectures
• Total Cost of Ownership of Digital vs. Analog Radio-over-Fiber Architectures for 5G Fronthauling
• 3D Microelectronic Packaging: From Architectures to Applications
• Analysis of dependability and sustainability requirements to support the deployment of dense data center architectures
• Industry 4.0: contributions of holonic manufacturing control architectures and future challenges
• Algorithms and architectures for parallel processing
• Framing Choice Architectures
• Sorry to Bother You Again: Developer Recommendation Choice Architectures for Designing Effective Bots
• Automated design architectures for co-orbiting spacecraft swarms for planetary moon mapping
• Augmented PEEC for direct time-domain thermal and power estimation of integrated voltage regulator architectures arising in heterogeneous integration
• Formulation of Sugar/Hydrogel Inks for Rapid Thermal Response 4D Architectures with Sugar-derived Macropores
• Memory-Equipped Quantum Architectures: The Power of Random Access
• Printable smart 3D architectures of regenerated silk on poly (3-hydroxybutyrate-co-3-hydroxyvalerate)
• Sub-Connected Hybrid Precoding Architectures in Massive MIMO Systems
• Pterodactyl: Development and comparison of control architectures for a mechanically deployed entry vehicle
• Synthesis, crystallization, and molecular mobility in poly (ε-caprolactone) copolyesters of different architectures for biomedical applications studied by calorimetry and …
• Semantic architectures and dashboard creation processes within the data and analytics framework
• Precise capture and dynamic relocation of nanoparticulate biomolecules through dielectrophoretic enhancement by vertical nanogap architectures
• Colour quality parameters and enhanced white light emanation via solution combustion derived MoO3: Dy3+ micro-architectures: Fluorescent probe for sensitive …
• Ispd 2020 physical mapping of neural networks on a wafer-scale deep learning accelerator
• Deep learning architectures for accurate millimeter wave positioning in 5G
• Comparing Mask R-CNN and U-Net architectures for robust automatic segmentation of immune cells in immunofluorescence images of Lupus Nephritis biopsies
• The Programmable Data Plane: Abstractions, Architectures, Algorithms, and Applications
• Analysis and design of unified architectures for zero-attraction-based sparse adaptive filters
• Helical Self-Organizations and Emerging Functions in Architectures, Biological and Synthetic Macromolecules
• Case Study of ICT Architectures for a Context-Aware System in Smart Energy Domain
• Surrogate-assisted evolutionary search of spiking neural architectures in liquid state machines
• MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures
• FPGA Implementation of AES Key Expansion Algorithm in Fully Pipelined and Loop Unrolled Architectures
• Fidelity of a sequence of SWAP operations on a spin chain
• Industrial IoT Application Architectures and Use Cases
• Toward stable perovskite solar cell architectures: robustness against temperature variations of real-world conditions
• Alternative Deep Learning Architectures for Feature-Level Fusion in Human Activity Recognition
• Smart Sensor Architectures for Multimedia Sensing in IoMT
• DNN-Life: An Energy-Efficient Aging Mitigation Framework for Improving the Lifetime of On-Chip Weight Memories in Deep Neural Network Hardware Architectures
• Lidar Optical Architectures with Digital Micromirror Devices
• YaskSite: Stencil Optimization Techniques Applied to Explicit ODE Methods on Modern Architectures
• Electrical system architectures for building-integrated photovoltaics: A comparative analysis using a modelling framework in Modelica
• A comparative study for the thermal conductivities of C/SiC composites with different preform architectures fabricating by flexible oriented woven process
• Harmonic emissions assessment for common DC and AC electric vehicle charging station architectures
• Activity Recognition and Anomaly Detection in E-Health Applications Using Color-Coded Representation and Lightweight CNN Architectures
• Fostering human–robot cooperative architectures for search and rescue missions in urban fires
• Hardware implementations of computer-generated holography: a review
• Hollow Pentagonal-Cone-Structured SnO2 Architectures Assembled with Nanorod Arrays for Low-Temperature Ethanol Sensing
• Towards Policy-aware Edge Computing Architectures
• Comparing deep learning architectures for sentiment analysis on drug reviews
• Matrix-free subcell residual distribution for Bernstein finite element discretizations of linear advection equations
• Analysis of Deep Neural Network Architectures and Similarity Metrics for Low-Dose CT Reconstruction
• Automated semantics-preserving parallel decomposition of finite component and connector architectures
• Structurally evolving component-port-connector architectures of centrally controlled systems
• Scalable and Efficient Hardware Architectures for Authenticated Encryption in IoT Applications
• Design of Low‐Power DRAM Cell Using Advanced FET Architectures
• Rapid fabrication of collagen bundles mimicking tumor-associated collagen architectures
• Modular Spacecraft Architectures
• Architectures and algorithms of an autonomous small-scale drilling agent
• Computer vision for covid-19 control: A survey
• Superelastic and large-range pressure sensor with hollow-sphere architectures for wearable electronic skin
• Neuro-Symbolic Architectures for Context Understanding
• The Intersection of the Genetic Architectures of Orofacial Clefts and Normal Facial Variation
• Multilevel Combinatorial Optimization across Quantum Architectures
• Prediction of pedestrian dynamics in complex architectures with artificial neural networks
• Numerical algorithms for high-performance computational science
• Review of unmanned aerial vehicle swarm communication architectures and routing protocols
• Mechanical behavior of polymeric selective laser sintered ligament and sheet based lattices of triply periodic minimal surface architectures
• Turkish Dialect Recognition Using Acoustic and Phonotactic Features in Deep Learning Architectures
• Object-based attention for spatio-temporal reasoning: Outperforming neuro-symbolic models with flexible distributed architectures
• Selective Caching: Avoiding Performance Valleys in Massively Parallel Architectures
• Machine Learning Demodulator Architectures for Power-Limited Communications
• Enlightenment architectures
• Deep learning, reusable and problem-based architectures for detection of consolidation on chest X-ray images
• Performance Evaluation of a Two-Dimensional Flood Model on Heterogeneous High-Performance Computing Architectures
• A Primer on Memory Consistency and Cache Coherence
• Machine-agnostic and Communication-aware Designs for MPI on Emerging Architectures
• Light-Activated Signaling in DNA-Encoded Sender–Receiver Architectures
• Internal Electrical Noises of BioFET Sensors Based on Various Architectures
• Novel Architectures for Contractive Autoencoders with Embedded Learning
• Exploring Machine Learning Architectures for Brain Computer Interface Systems
• Advancing the Design of Fail-Operational Architectures, Communication Modules, Electronic Components, and Systems for Future Autonomous/Automated Vehicles
• Decoding Algorithm for Quadruple-Error-Correcting Reed-Solomon Codes and its Derived Architectures
• The concept of Privacy and Standardization of Microservice Architectures in cloud computing
• Deep Learning Architectures for Named Entity Recognition: A Survey
• Enabling Hybrid Architectures and Mesh Network Topologies to Support the Global Multi-Domain Community
• SiO 2–silver Metasurface architectures for ultrasensitive and tunable Plasmonic biosensing
• From 25 Gb/s to 50 Gb/s TDM PON: transceiver architectures, their performance, standardization aspects, and cost modeling
• Model-Based Deep Encoding Based on USB Transmission for Modern Edge Computing Architectures
• Spintronics with compensated ferrimagnets
• Security architectures in wireless sensor network
• Focused Ion Beam Lithography to Etch Nano-architectures into Microelectrodes.
• Design and analysis of programming platform for accelerated gpu-like architectures
• Integration of Leaky-Integrate-and-Fire-Neurons in Deep Learning Architectures
• Bottom-up and top-down neuromorphic processor design: Unveiling roads to embedded cognition
• Neural Architectures towards Invariant Representation Learning
• The pattern theory of self in artificial general intelligence: A theoretical framework for modeling self in biologically inspired cognitive architectures
• Optimizing streaming parallelism on heterogeneous many-core architectures
• Study on the identification and the extent of decay of the wooden components in the Xichuan Guild Hall ancient architectures
• Mechanistic Insights to Degradation of PERC Minimodules with Differentiated Packaging Materials & Module Architectures
• Cloud Fog Architectures in 6G Networks
• Inertial Radio SLAM: Standalone and Collaborative Architectures
• Synthesis of MOF-on-MOF architectures in the context of interfacial lattice matching
• How to document computer networks
• Multilingual ICD-10 Code Assignment with Transformer Architectures using MIMIC-III Discharge Summaries
• A Multi-User, Single-Authentication Protocol for Smart Grid Architectures
• Performance Analysis of Speck Cipher Using Different Adder Architectures
• Evaluating system architectures for driving range estimation and charge planning for electric vehicles
• Optical Architectures for Displays and Sensing in Augmented, Virtual, and Mixed Reality (AR, VR, MR)
• Opportunities for ionic liquid/ionogel gating of emerging transistor architectures
• Finger vein biometrics: taxonomy analysis, open challenges, future directions, and recommended solution for decentralised network architectures
• UV-Induced Degradation of High-Efficiency Solar Cells with Different Architectures
• Computer vision and deep learning techniques for the analysis of drone-acquired forest images, a transfer learning study
• Evaluation of Future Topologies and Architectures for High-Reliability Electrical Distribution Systems
• Efficient treatment of large active spaces through multi-GPU parallel implementation of direct configuration interaction
• A Data Access Model for Privacy-Preserving Cloud-IoT Architectures
• Universal approximation of input-output maps and dynamical systems by neural network architectures
• Optimizing Deep Learning Recommender Systems’ Training On CPU Cluster Architectures
• Efficient elliptic solvers for higher order DG discretisations on modern architectures and applications in atmospheric modelling
• Benchmarking deep learning architectures for predicting readmission to the ICU and describing patients-at-risk
• Architectures of Cloud-enabled Cyber Physical Systems—a Systematic Mapping Study
• Full body pose estimation of construction equipment using computer vision and deep learning techniques
• On line detection of defective apples using computer vision system combined with deep learning methods
• New architectures for migration governance: NAFTA and transnational activism around migrants’ rights
• A call recognition approach for endangered or threatened chorusing amphibian species using deep learning architectures
• Adaptable realization of industrial analytics functions on edge-devices using reconfigurable architectures
• ARMv8-A System Semantics: Instruction Fetch in Relaxed Architectures
• Design Space Exploration with Deterministic Latency Guarantees for Crossbar MPSoC Architectures
• HybriD-GM: parallel model for quantum computing targeted to hybrid architectures
• TeraChem: A graphical processing unit‐accelerated electronic structure package for large‐scale ab initio molecular dynamics
• Highly-Digital Architectures and Integrated Front-Ends for Multi-Antenna Ground-Penetrating Radar (GPR) Systems
• An Efficient Code-Domain NOMA Transceiver for mm-Wave Hybrid Massive MIMO Architectures
• Searching CUDA code autotuning spaces with hardware performance counters: data from benchmarks running on various GPU architectures
• Availability, Integrity, and Confidentiality for Content Centric Network internet architectures
• Towards facilities for modeling and synthesis of architectures for resource allocation problem in systems engineering
• High level programming abstractions for leveraging hierarchical memories with micro-core architectures
• Demonstration of the QCCD trapped-ion quantum computer architecture
• ACCORDANT: A domain specific-model and DevOps approach for big data analytics architectures
• Evaluating single-and multi-headed neural architectures for time-series forecasting of healthcare expenditures
• The building blocks of a brain-inspired computer
• Autonomous formation of a user model based on digital footprint data in the internet space based on training multi-agent neurocognitive architectures
• Novel architectures for spectator crowd image analysis
• Cu2Se-based thermoelectric cellular architectures for efficient and durable power generation
• Transform Network Architectures for Deep Learning based End-to-End Image/Video Coding in Subsampled Color Spaces
• Evaluating Online and Offline Accuracy Traversal Algorithms for k-Complete Neural Network Architectures
• Capturing information processes with variable domains
• 3D-Printed Ceramic Bone Scaffolds with Variable Pore Architectures
• High Level Platform for Application Specific Integrated Circuit architectures modeling
• Architectures of Body Built-In Current Sensors for Detection of Transient Faults
• Towards Optimal Architectures for Hazard Monitoring Based on Sensor Networks and Crowdsensing
• Deep SAR matrix: SAR matrix expansion for advanced analog design using deep learning architectures
• Hardware Abstractions for targeting EDDO Architectures with the Polyhedral Model
• ADEPT: a domain independent sequence alignment strategy for gpu architectures
• Iron-based metal-organic frameworks integrated into 3D printed ceramic architectures
• A Systematic Literature Review of Security Patterns and Architectures for IoT
• Thinking like a naturalist: Enhancing computer vision of citizen science images by harnessing contextual data
• Cache telepathy: Leveraging shared resource attacks to learn {DNN} architectures
• SLPal: Accelerating Long Sequence Alignment on Many-Core and Multi-Core Architectures
• Classification of Chromosomal DNA Sequences Using Hybrid Deep Learning Architectures
• Research on term extraction technology in computer field based on wireless network technology
• A universal approximation method and optimized hardware architectures for arithmetic functions based on stochastic computing
• … of spatial ontologies in the intelligent decision-making system of a mobile agricultural robot based on the self-organization of multi-agent neurocognitive architectures
• A network science-based assessment methodology for robust modular system architectures during early conceptual design
• Application of Convoluted Neural Network and Its Architectures for Fungal Plant Disease Detection
• Modelling and verification of parameterized architectures: A functional approach
• SqueezeBERT: What can computer vision teach NLP about efficient neural networks?
• Probabilistic wind power forecasting combining deep learning architectures
• A high-bandwidth and low-cost data processing approach with heterogeneous storage architectures
• Plan-Like Architectures
• CNN-LSTM deep learning architecture for computer vision-based modal frequency detection
• A Teleoperation Framework Enabling Online Switching of Various Architectures and Controllers
• Direct ink writing of 3D thermoelectric architectures for fabrication of micro power generators
• QCA Designer: A simulation and Design Layout Tool for QCA based Nano Domain Computing Architectures
• Sustainability Analysis in Data Center Dense Architectures
• Methodology for efficient CNN architectures in profiling attacks
• The architecture of computer hardware, systems software, and networking: An information technology approach
• Enabling spike-based backpropagation for training deep neural network architectures
• Computer vision system for measuring individual cow feed intake using RGB-D camera and deep learning algorithms
• Evaluating the performance of HPC-style SYCL applications
• On Routing Scalability in Flat SDN Architectures
• Code Generation for Synchronous Control Asynchronous Dataflow Architectures
• Token ring arbitration scheme for on-chip CDMA bus architectures
• Messing up the Domestic: Queer Bodies Expanding Architectures
• Efficient Hardware Architectures for 2-D BCH Codes in the Frequency Domain for Two-Dimensional Data Storage Applications
• Energy-driven design space exploration of tiling-based accelerators for heterogeneous multiprocessor architectures
• Internet of Drones: a Survey on Communications, Technologies, Protocols, Architectures and Services
• [PS][PS] IMPLEMENTING PROLOG ON MULTITHREADED ARCHITECTURES
• Cross-section bead image prediction in laser keyhole welding of AISI 1020 steel using deep learning architectures
• Considering Safety Requirements in Design Phase of Future E/E Architectures
• Towards a data-centric architecture in the automotive industry
• Exploring Applications of STT-RAM in GPU Architectures
• Identification of networking quantum teleportation on 14-qubit IBM universal quantum computer
• Photonics for artificial intelligence and neuromorphic computing
• Detection and removal of biases from brain MR images using adversarial architectures
• Enhancing Performance in Scientific Applications with Energy and Resilience Constraints from Modern Architectures
• … droplets with end-grafted polymers within Pickering emulsions versus grafting-density, solvent quality and monomer concentration and phase diagrams architectures
• Computer-inspired quantum experiments
• Wireless Localisation in WiFi using Novel Deep Architectures
• Different types of polyoxometalate-directed diverse architectures derived from the rigid ligand pyrazine-bis (triazole): assembly, electrocatalysis, and dye adsorption
• Deep learning architectures applied to wind time series multi-step forecasting
• OPTIMAL ARCHITECTURES FOR OAM BASED COMMUNICATIONS IN ATTENUATED UNDERWATER AND TURBULENT FREE-SPACE COMMUNICATIONS
• Going Cognitive: A Demonstration of the Utility of Task-General Cognitive Architectures for Adaptive Robotic Task Performance
• A computer vision based rebar detection chain for automatic processing of concrete bridge deck GPR data
• SynCron: Efficient Synchronization Support for Near-Data-Processing Architectures
• Exploring deep spatio-temporal fusion architectures towards late temporal modeling of human action recognition
• Enclave Computing Paradigm: Hardware-assisted Security Architectures & Applications
• P‐SCADA‐A novel area and energy efficient FPGA architectures for LSTM prediction of heart arrthymias in biot applications
• Error Detection Architectures for Ring Polynomial Multiplication and Modular Reduction of Ring-LWE in Benchmarked on ASIC
• Intent Classification in Question-Answering Using LSTM Architectures
• Neural predictor for neural architecture search
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• Cross-layer methods for energy-efficient inference using in-memory architectures
• Generalizable Architectures and Principles of Informatics for Scalable Personalized and Precision Medicine (PPM) Decision Support
• On Becoming a Conspiracy Thinker: A Second-Order Adaptive Network Model
• Productivity, performance, and portability for computational fluid dynamics applications
• Big Data Applications and Architectures for Emerging Countries
• Computer Organization and Design MIPS Edition: The Hardware/Software Interface
• Tradespace Exploration of Space Settlement Architectures Using Long-term Cost and Benefit Metrics
• The effect of rod orientation on the strength of highly porous filament printed 3D SiC ceramic architectures
• Estimation of Test Data Volume for Scan Architectures with Different Numbers of Input Channels
• End-to-End Virtual Accelerators (EVA)
• Review on Mobile Web Service Architectures and Challenges
• Privacy Smells: Detecting Privacy Problems in Cloud Architectures
• A Scalable Platform for QEMU Based Fault Effect Analysis for RISC-V Hardware Architectures
• Scheduling irregular dataflow pipelines on SIMD architectures
• Termination detection for fine-grained message-passing architectures
• Feedback on the Design Processes for the Materialization of Informed Architectures
• Spatial pyramid based graph reasoning for semantic segmentation
• Siamese neural networks for EEG-based brain-computer interfaces
• 7 Classification of Diabetic Retinopathy by Applying an Ensemble of Architectures
• Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures
• Efficient arbitrary simultaneously entangling gates on a trapped-ion quantum computer
• Computer vision based detection of external defects on tomatoes using deep learning
• A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs
• A review of computer vision technologies for plant phenotyping
• Exploiting Attention-based Sequence-to-Sequence Architectures for Sound Event Localization
• Performance Portable Supernode-based Sparse Triangular Solver for Manycore Architectures
• Amplifier Architectures for Wireless Communication Systems
• A computer-assisted algorithm for narrow-band imaging-based tissue characterization in Barrett’s esophagus
• Hereditary information processes with semantic modeling structures
• Law for Computer Scientists and Other Folk
• Low-latency and high-throughput software turbo decoders on multi-core architectures
• BLAZE: blazing fast privacy-preserving machine learning
• On modularity in reactive control architectures, with an application to formal verification
• Establishing the quantum supremacy frontier with a 281 pflop/s simulation
• Bridging themes: short protein segments found in different architectures
• Differential levels of dermatan sulfate generate distinct Collagen I gel architectures
• Side Channel Leakage Assessment Strategy On Attack Resistant AES Architectures
• Towards learning convolutions from scratch
• Traceability and Detection of Counterfeit Medicines in Pharmaceutical Supply Chain Using Blockchain-Based Architectures
• Detection and mitigation of DDoS attacks in SDN: A comprehensive review, research challenges and future directions
• Islamic Architectures of Self-Inclusion and Assurance in a Multicultural Society
• Preparing sparse solvers for exascale computing
• Computer-mediated communication in the age of communication visibility
• A Siren in Babylon: the spatiality and architectures of Myra/Myron
• An Identity-matching Process to Strengthen Trust in Federated-identity Architectures
• Simple Behavioral Analysis (SimBA): an open source toolkit for computer classification of complex social behaviors in experimental animals
• Architectural Strategy to Enhance the Availability Quality Attribute in System-of-Systems Architectures: a Case Study
• Variational quantum circuits for deep reinforcement learning
• Testing integrato di architetture micro front-end= Integrated testing of micro front-end architectures
• (Special Topic Submission) Enabling Domain-Specific Architectures with an Open-Source Soft-Core GPGPU
• Can microservice-based online-retailers be used as an SPL? a study of six reference architectures
• Parallel implementation of the image block representation using OpenMP
• Ultrafast machine vision with 2D material neural network image sensors
• Spintronics-based Architectures for non-von Neumann Computing
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• Exploring deep learning architectures and reliability of several datasets to predict protein-protein interactions
• Better together: Elements of successful scientific software development in a distributed collaborative community
• QuickSampling v1. 0: a robust and simplified pixel-based multiple-point simulation approach
• Unsupervised Deep Learning Architectures
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• Game-theoretic model of data transmission in wireless networks with various architectures
• Vers de nouvelles architectures intelligentes pour l’Internet des véhicules
• Complexity Analysis of Hardware Architectures for Intra Prediction unit of High Efficiency Video Coding (HEVC)
• Understanding cities with machine eyes: A review of deep computer vision in urban analytics
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• Advanced Concepts and Architectures for Plasma-Enabled Material Processing
• Multi-Processor System-on-Chip 1: Architectures
• P‐1.2: Self‐Diver‐Intelligent‐Pixel Architectures in In‐Ga‐Zn‐O Technology for Special‐Shaped Panel
• Deep learning and deep knowledge representation in Spiking Neural Networks for Brain-Computer Interfaces
• Spin-flip methods in quantum chemistry
• Low Power Network on Chip Architectures: A Survey
• Extracting Data-Level Parallelism in High-Level Synthesis for Reconfigurable Architectures
• Automatically designing CNN architectures using the genetic algorithm for image classification
• Computer vision technology in agricultural automation—A review
• A review of computer vision–based structural health monitoring at local and global levels
• Computer vision and machine learning enabled soybean root phenotyping pipeline
• Networked and autonomous model-scale vehicles for experiments in research and education
• Assessment of Convolutional Neural Network Architectures for Earthquake-Induced Building Damage Detection based on Pre-and Post-Event Orthophoto Images
• Computer‐aided diagnosis in the era of deep learning
• Common Patterns in Microservice Architectures
• PIXEL: Photonic neural network accelerator
• Atomistic Modeling and Structure-Property Relationship of Topologically Accurate Complex Nanotube Junction Architectures
• Modular Block-diagonal Curvature Approximations for Feedforward Architectures (Supplementary Material)
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• Exploiting dimensionality reduction and neural network techniques for the development of expert brain–computer interfaces
• Bioprinting of multimaterials with computer-aided design/computer-aided manufacturing
• Digital transformation in the manufacturing industry: technologies and architectures
• Having your cake and eating it: Exploiting Python for programmer productivity and performance on micro-core architectures using ePython
• Impact du codage impulsionnel sur l’efficacité énergétique des architectures neuromorphiques
• Learning Sparse Matrix Row Permutations for Efficient SpMM on GPU Architectures
• An Algorithm for Recovering the Characteristics of the Initial State of Supernova
• Design and development of human computer interface using electrooculogram with deep learninG
• Agent-Based Modeling, Large-Scale Simulations
• A Capability Approach for Designing Business Intelligence and Analytics Architectures.
• An efficient dataflow accelerator for scientific applications
• Time-Encoding Analog-to-Digital Converters: Bridging the Analog Gap to Advanced Digital CMOS? Part 2: Architectures and Circuits
• Dual‐Gated MoS2 Memtransistor Crossbar Array
• Comparative study on power module architectures for modularity and scalability
• Unsupervised quantum gate control for gate-model quantum computers
• Computer Architecture
• Architetture di elaborazione dati in streaming per analisi e previsione di serie temporali= Streaming data processing architectures for time series analysis and …
• A light trap and computer vision system to detect and classify live moths (Lepidoptera) using tracking and deep learning
• Covid-19 control by computer vision approaches: A survey
• The Evolving US Distribution System: Technologies, Architectures, and Regulations for Realizing a Transactive Energy Marketplace
• Crafting Co-Creative Enterprise Architectures
• SoK: Computer-aided cryptography
• Performance analysis of single board computer clusters
• … Behavior of Polymeric Selective Laser Sintered Ligament and Sheet based Lattices of Triply Periodic Minimal Surface Architectures Aliaa M. Abou-Ali1, 2 …
• Computer network simulation with ns-3: A systematic literature review
• RECEIVER ARCHITECTURES AND ALGORITHMS FOR NON-ORTHOGONAL MULTIPLE ACCESS
• dom2vec: Capturing domain structure and function using self-supervision on protein domain architectures
• Assumptions about frequency-dependent architectures of complex traits bias measures of functional enrichment
• Accounting for variance in machine learning benchmarks
• Computer-aided tumor detection in automated breast ultrasound using a 3-D convolutional neural network
• A computer vision-based method for spatial-temporal action recognition of tail-biting behaviour in group-housed pigs
• Exploring different Convolutional Neural Networks architectures to identify cells in spheroids
• All-Passive Hardware Architectures for Neuromorphic Computation
• Les meilleurs agents sont ceux qu’on ne simule pas: vers des architectures de simulation multi-paradigmes?
• Ambient Assisted living system’s models and architectures: A survey of the state of the art (vol 32, pg 1, 2018)
• Automated Swarm Design Architectures for Reconnaissance of Small Bodies
• Breaking the curse of space explosion: Towards efficient nas with curriculum search
• An Accurate EEGNet-based Motor-Imagery Brain–Computer Interface for Low-Power Edge Computing
• DrPin: A dynamic binary instumentator for multiple processor architectures
• Computer-inspired concept for high-dimensional multipartite quantum gates
• Fast sparse convnets
• Data augmentation and pretraining for template-based retrosynthetic prediction in computer-aided synthesis planning
• OpenQL: A portable quantum programming framework for quantum accelerators
• Label‐free leukemia monitoring by computer vision
• Artificial intelligence for the computer-aided detection of periapical lesions in cone-beam computed tomographic images
• Orbital Fueling Architectures Leveraging Commercial Launch Vehicles for More Affordable Human Exploration
• Analysis of facial information for healthcare applications: A survey on computer vision-based approaches
• Modeling Novel Non-JTAG IEEE 1687-Like Architectures
• Real-time terahertz meta-cryptography using polarization-multiplexed graphene-based computer-generated holograms
• Sgas: Sequential greedy architecture search
• Computer-aided histopathological image analysis techniques for automated nuclear atypia scoring of breast cancer: a review
• A deep‐learning‐based computer vision solution for construction vehicle detection
• … : Unsupervised protein domain embeddings capture domains structure and function providing data-driven insights into collocations in domain architectures
• Voxceleb: Large-scale speaker verification in the wild
• CYBELE–Fostering precision agriculture & livestock farming through secure access to large-scale HPC enabled virtual industrial experimentation …
• Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review
• Computer-aided diagnosis systems for osteoporosis detection: A comprehensive survey
• Resilience and Effective Learning in First-Year Undergraduate Computer Science
• Handbook of computer networks and cyber security
• The Manufacturing Planning and Control System: A Journey Towards the New Perspectives in Industry 4.0 Architectures
• Towards simulating 2D effects in lattice gauge theories on a quantum computer
• Enhanced accuracy for multiclass mental workload detection using long short-term memory for brain–computer interface
• Fpga Remote Laboratory: Experience in Upna and Unifesp
• Hardware Architectures for Deep Learning
• Flexible and scalable FPGA-oriented design of multipliers for large binary polynomials
• PROMETEO: A CNN-Based Computer-Aided Diagnosis System for WSI Prostate Cancer Detection
• Big data visualization and analytics: Future research challenges and emerging applications
• A method for embedding a computer vision application into a wearable device
• Quantum computer-aided design of quantum optics hardware
• Evaluating scalable bayesian deep learning methods for robust computer vision
• Image Classification Using LeNet
• Spectra of perfect state transfer Hamiltonians on fractal-like graphs
• A review on near-duplicate detection of images using computer vision techniques
• Deep learning in olive pitting machines by computer vision
• A scalable photonic computer solving the subset sum problem
• Scaled resistively-coupled VO2 oscillators for neuromorphic computing
• Eva-CiM: A system-level performance and energy evaluation framework for computing-in-memory architectures
• Ultrafast spectroscopy of photoactive molecular systems from first principles: Where we stand today and where we are going
• Towards fault adaptive routing in metasurface controller networks
• Reconfigurable RF and Wireless Architectures Using Ultra-stable Micro-and Nano-electromechanical Oscillators: Emerging Devices, Circuits, and Systems
• Software tools for quantum control: Improving quantum computer performance through noise and error suppression
• Solving the Shallow Water Equations on Heterogeneous Architectures with Kokkos
• Surrogate modeling of advanced computer simulations using deep Gaussian processes
• Surface damage detection for steel wire ropes using deep learning and computer vision techniques
• Parallel gaussian elimination of symmetric positive definite band matrices for shared-memory multicore architectures
• Hybrid deliberative/reactive robot architectures for human robot collaboration employing Augmented Reality techniques and wearable sensors.
• Deep learning computer-aided diagnosis for breast lesion in digital mammogram
• Deep Convolutional Neural Networks for Classification of Interstitial Lung Disease
• Reviewing GPU architectures to build efficient back projection for parallel geometries
• Highly efficient, linear-scaling seminumerical exact-exchange method for graphic processing units
• Dual transcriptome and metabolic analysis of Vitis vinifera cv. Pinot Noir berry and Botrytis cinerea during quiescence and egressed Infection
• Approches de classification des images à grande échelle sur des architectures massivement parallèles.
• Current evidence on computer-aided diagnosis of celiac disease: systematic review
• Assessment of reference architectures and reference models for ambient assisted living systems: Results of a systematic literature review
• Convolutional neural network: a review of models, methodologies and applications to object detection
• Block-wisely supervised neural architecture search with knowledge distillation
• Efficient processing of deep neural networks
• Generalized and mechanistic PV module performance prediction from computer vision and machine learning on electroluminescence images
• Machine learning and big scientific data
• An ecologically motivated image dataset for deep learning yields better models of human vision
• Ambient Assisted living system’s models and architectures: A survey of the state of the art
• Nonparametric self-exciting models for computer network traffic
• The world computer: Derivative conditions of racial capitalism
• Continuously Active Transcriptional Programs are Required to Build Expansive Serotonergic Axon Architectures
• Hybrid multi-model multi-platform (hm3p) databases
• Exceeding conservative limits: A consolidated analysis on modern hardware margins
• Applicability of Various Pre-Trained Deep Convolutional Neural Networks for Pneumonia Classification based on X-Ray Images
• Understanding and robustifying differentiable architecture search
• Nuts and Bolts of Deep Learning for Computer Vision
• A volumetric framework for quantum computer benchmarks
• Review on computer aided weld defect detection from radiography images
• Investigation of Granite Deformation Process under Axial Load Using LSTMBased Architectures
• Controlling synthetic characters in simulations: a case for cognitive architectures and sigma
• Think fast: a tensor streaming processor (TSP) for accelerating deep learning workloads
• The future of sea ice modeling: where do we go from here?
• SIMD programming using Intel vector extensions
• Méthodologie pour l’optimisation logicielle de structures de données pour les architectures hautes performances à mémoires complexes
• DrPin: a dynamic binary instrumentator for multiple processor architectures= DrPin: um instrumentador dinâmico de binários para múltiplas arquiteturas de …
• Performance Evaluation of Deep Learning Architectures on Time Series Datasets

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100 Best Architecture Thesis Topics

One of the most important components of a great writing project like a thesis or dissertation is a great topic. Teachers often provide full lists of research ideas for students to choose from, but they also encourage students to develop original topics based on their interests. In the case of architecture, many students might have trouble coming up with architecture thesis topics that meet the requirements of a given assignment. This is why we have compiled this list of interesting and original architecture research topics for students to use at no cost. Feel free to modify them in any way to fit your assignment, make your choice and move to crafting your thesis outline .

Computer Architecture Topics for High School

• In what ways have computer design programs positively affected modern architecture?
• How do early explorations of deep-learning impact by limitations in computer architecture?
• How are the computer architectures of financial data centers at risk due to cyber-hackers?
• How are modern bridges and buildings at lesser risk of damage due to collapse?
• In what ways has computer architecture sped up the development process in third-world countries?
• Is the pendulum a real thing when it comes to architectural movements?

Great Landscape Architecture Topics

• What are the major challenges that cities face when creating and maintaining open spaces?
• What are the most common health risks that a community faces when parks are built next to water runoffs?
• How does the makeup of a neighborhood affect what landscape architectural choices are made?
• Why is it important for city centers to have natural elements such as trees and shrubs to improve air quality?
• Are natural bodies of water (like ponds and lakes) putting people at risk due to mosquito infestations?
• What is the impact of architectural open spaces in Latin American countries?

Controversial Architecture Topics

• What impact did the resurrection of New York’s Pier 55 have on the political landscape of that city?
• Discuss the legal battle that occurred between Zillow and Kate Wagner in 2017.
• Why has President Trump failed to gain financial support to build his proposed border wall?
• How are people along the Texas border negatively impacted by the construction of a border wall across their private properties?
• Why is the United States’ infrastructure at such risk do to overpopulation in major cities?
• Women in architecture have been accused of being soft, do you agree or disagree?

Dissertation Topics for Landscape Architecture

• How will the development of inclusive and safe public spaces positively impact patients with dementia?
• Will the development of more bike paths along green spaces reduce carbon emissions in urban areas?
• What is the importance of multiple small public parks in our communities?
• How can one improve the social value of groundwater in urban settings?
• In what ways can urban eco-systems be regenerated with the inclusion of green roofs and living walls?
• In what ways has bamboo architecture has changed our understanding of how strength and function together?

Computer Architecture Research Paper Topics

• How did technology change Jorn Utzon’s proposed design for what is now the world-famous Sydney Opera House?
• How is the use of technology in the design of buildings changing the role of the modern architect?
• How have computer simulations of natural disasters made today’s buildings safer?
• What are the limitations of computer simulations when it comes to presenting realistic situations?
• What are the major computer influences on architecture and design in the 21 st century?
• Describe the direction of architecture designed to withstand major disasters.

Interesting Architecture Thesis Topics

• How are inventions in lighter building materials making it easier to build larger structures?
• What are the best designs for shared accommodations like student dorms and apartments?
• What are the effects of the Internet of Things technology on the architectural design of urban settings?
• Discuss the differences between the materials that were used in ancient and modern structures.
• Which are your favorite architects of the 20 th and 21 st centuries?
• Why is outdoor footing for different climates is a growing trend in architectural design?

Architecture Ideas for a Quick Project

• How do you better utilize the space given to you for a board size concerning its size and orientation?
• In what ways can you utilize prior projects’ use of layout when working on a new development project?
• Compare and contrast the positives and negatives of modern architectural design software programs?
• How can schools utilize technological architect tools to better develop campuses in rural areas?
• What are the best design methods to maximize functional spaces in small areas?
• How has American architecture changed over the years?

Architecture Graduation Project Topics

• What are the origins of Chinese Architecture and how has it remained the dominant tradition?
• How can sunlight be used to save on energy costs in high-rise buildings in low-temp cities?
• How did medieval architecture change as military technologies advanced?
• What are the best practices that town planners can execute to maintain safe travel?
• How to utilize restaurants to revitalize urban spaces in cities impacted by Covid-19?
• What are the major benefits of investing in low-cost but high-strength buildings?

Design Thesis topics for Architecture

• Discuss the evolution of a building component of your choice and take us on a walk through history.
• According to today’s modern needs and standards, how will architecture look in a decade?
• What impact has modern architecture had on American culture?
• How have the gothic elements of medieval architecture found their way into modern design?
• What are the major differences between Aztec and Egyptian architecture of major temples?
• How did the Art-Deco style of the 1920s and the 1930s influence modern architecture?

Research Topics in Computer Architecture for College

• Are computer designers changing the traditional roles of engineering architects in the 21 st century?
• How has the invention of 3D printing technology changed the way architects can quickly change the direction of their designs?
• How has 3D printing opened up a new field of architecture that did not exist 20 years ago?
• What were the distinctive elements of 15 th century English architecture?
• How has virtual reality made an impact to design decisions made by architects and engineers?
• What are the best 3D rendering programs for aspiring architects to use today?

Architecture Thesis Topics in Sustainability

• Will sustainable agriculture stem a revolution in the architectural world?
• Can sustainable agriculture impact how NFL stadiums are built moving forward?
• How are modern buildings failing by not using cooling and heating technology?
• How did French architecture differ from English architecture in the 16 th century?
• Why has wind turbine technology waned in the last two decades?
• Can solar water heating lead to new architectural designs?

Dissertation Topics for Interior Architecture

• How has interior design shaped outdoor design in modern architecture?
• How have decorating styles changed how modern architects create indoor spaces?
• Can interior architecture use technology to sustain water in buildings?
• Are color combinations a factor in how architects design frame ideas for interior spaces?
• How are interior decorators influenced by the work of architects?
• Can exhibition spaces reflect a building’s architecture?

Master Thesis Topics in Architecture

• The causes of color change in interior designers may be influenced by outdoor architecture.
• How do light pattern decisions affect the design of outdoor architectural aspects?
• How has luxury design impacted the way modern homes are built?
• Discuss the importance of interior design to outdoor architecture.
• How did the Greek revival influence the advancements made in the Gothic revival?
• How was European architecture influenced by Islam?

Computer Architecture Topics Research Paper

• Why are major cities around the world relying on computer technologies to redesign layouts?
• What function did Roman images serve the design of ancient buildings?
• In what ways has technology helped us to understand the architecture of ancient divinations?
• Can architects recreate structures from the past using modern computer technology?
• How can computer technologies be used to modernize city infrastructures?
• How does the “form follows function” ideal of Louis Sullivan play into technology in architecture?

Current Architecture Research Paper Topics

• How can design be integrated into the university campus planning efforts?
• How are modern techniques in engineering changing the landscape for architects?
• How have the works of Alvaro Siza impacted renovation projects around the world?
• Why is small space living such a rising trend in large cities?
• Which has had a greater influence among modern artists, Portuguese or Spanish architecture?
• Are floating hotels a viable business venture in today’s architectural world?

Architecture Topics for a Long Project

• What is the importance of understanding millennial design interests?
• Why should architects be on-site for their projects?
• How does current architecture impact the way we consider rural landscapes?
• Are vernacular views of architecture imposing on traditional views?
• How are modern architectural methods influencing the building of stadiums?

More Computer Architecture Research Topics

• How can computers be used to recreate images of long-destroyed architectural marvels?
• What are the major challenges brought on by new materials and technology in architecture?
• How does technology give architects more options to consider when coming up with materials?
• How has computer architecture advanced the construction of safer bridges around the world?
• Did computer architecture play a role in the development of the Three Gorges Dam?

What do you think of this collection of architectural project topics? Our thesis writers are putting together original architectural thesis topics around the clock. And if you need a custom-list we can have that ready for you in a matter of hours. Check out our other articles and feel free to send us a message to let us know how we can help with your next academic assignment.

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Thesis Topics, Study and Research Projects

Our institute always searches for motivated students who want to do a bachelor or master thesis, a study or research project. The information below in general applies also to research and study projects from different study programs, except that they have less workload than a thesis.

HOCOS Bachelor / Master Theses

Our institute always searches for motivated students who want to do a bachelor or master thesis.

Please download the Presentation of our Research Foci and Your Opportunities

Frequently asked questions regarding Bachelor and Master theses

Thank you for your interest in writing a thesis in our department. A thesis is, in most cases, the part of your education where you get closest to actual science, and we are committed to make this essential period of your life successful, plannable, but also enjoyable! We have put together answers to several frequently asked questions. Note that they relate to the Hardware-oriented Computer Science group (HOCOS, Prof. Polian).

Where can I find a list of available topics?

We do not have such a list. Instead, we formulate, together with you, a topic that is related to what we are working on and that at the same time fits your interests and qualifications. Contact the professor or a staff member by email or in person, and we will organize an appointment.

What documents should I enclose to this email?

Our questionnaire (“ Expression of Interest ”) and your current grade sheet. If you have completed a degree already, add the grade sheet from that degree. We may request further documents later.

What will happen during this appointment?

Most likely, you will hear questions about what kind of topics you are interested in and what skills you want to develop or improve during your thesis. For example, you may be interested in a more theoretical study, methodical work, put focus on software development or hardware design, and/or work on a specific domain. We will also ask about your prior experiences and qualifications (which subjects you took and which programming/description languages and tools you are familiar with).

Can I suggest my own topic?

Yes! But please understand that we cannot supervise you in areas outside our expertise. Even if you are not certain, make a suggestion and let’s discuss further. For example, we cannot supervise work on pedestrian recognition, because we are (currently) not working on it, but we could develop a topic such as making existing pedestrian-recognition methods more reliable or secure.

Can I write my thesis in a company?

This is possible in principle but under specific conditions. In short, topics formulated and announced by companies without any prior interaction with us are not suitable in 99% of cases. We strongly prefer topics within a framework of running collaborations; please ask us if you are interested. If the company has no running cooperation with us (yet) but is willing to discuss the topic and develop it, we are open. In a nutshell, the topic must fall into our areas of competence and have a scientific background and at least a slight methodical component; we will not “supervise” (re-)implementation projects. It must be clear to you that all expectations on an academic thesis apply (for example, we expect a review of scientific literature on the topic even if the industrial partner is not interested in it). Having to rely on your cooperation partner regarding, e.g., access to data or software, constitutes a risk, and you alone are bearing this risk. Moreover, all questions regarding intellectual property, non-disclosure or publishing of the results of the thesis must be settled before you begin the work. This step can involve the University’s legal department and can lead to delays of unknown duration. Note that Master theses must be reviewed by two professors, and if the company is insisting on a non-disclosure agreement, it will be your job to find the second reviewing professor and convince him or her to sign that agreement.

What prerequisites should I have?

We strongly prefer candidates who took our courses (e.g., RO2 in Bachelor; EDA, HOS, RSD in Master) and passed them with a good grade (2.3 or better). Moreover, you should have done a seminar, ideally one that had been offered by our department (then you know our expectations on writing, presenting, deadlines etc. to some extent). You do need in-depth knowledge in one of our areas of expertise to write a meaningful thesis, and if you did not take advanced courses in our field, you will have to acquire this knowledge through self-study at the same time as working on the actual thesis. Please understand that we cannot guarantee accepting you even if you took a course with us, as this depends on our current workload and capacity.

We found a suitable topic; how do we proceed?

You will be asked to formulate, in your own words, a 1-2 page summary of the objectives for your work (similar to a proposal). It will usually go through several iterations, and the final agreed-upon text will be the basis for evaluation of what you have achieved in the end. The purpose of having this text is to avoid later misunderstandings what you were supposed to do and what not. After this summary has been fixed, we will make a supervision contract; you may have to sign a few documents if you will need to use our lab facilities, software, equipment, and the like.

Can I take a few weeks/months off during my thesis work?

This is an extremely bad idea. Once you register your thesis, the clock starts ticking and you must submit whatever you have by the end of the period. If you have an exciting trip, a multi-week visit to your relatives, an internship or some other interesting activity incompatible with the thesis, please start your thesis after this activity or, even better, delay your activity until after the thesis. It is equally undesired that you request a topic, get a suggestion, and then disappear without registering the thesis. Expect that “your” topic will be given to somebody else in such a case and will not be reserved for you. If you do have a justification for a break (e.g., a sickness or an unforeseeable family situation), apply for an extension through the Examination Office. Whether the extension will be granted will be decided by that office, and our staff will not be involved in this decision.

Can my research be published?

It is quite common that a thesis work results in a scientific publication. If work that resulted from a thesis is presented at a conference, we will try to support you attending that conference.

How do I write up the thesis?

You can orient yourself on our documentation on how to write seminar summaries. In short, your text should give the reader the answer to the following questions:

• What problem are you solving? Is it of practical or theoretical importance, or both? Are there specific application scenarios that would benefit from your result?
• What fundamentals are required to formulate the problem and your solution approach?
• Are you the first person trying to solve this problem, or has there been other work on it? Who else was or is considering this problem, and how does your approach differ? What are the key differences from related problem formulations?
• What approach do you follow to solve the problem, and why? What do you expect to achieve? For instance, do you want to answer a question for the first time, to improve an existing solution, to transfer an approach into a setting where it has not been used before?
• What did you achieve after your work, and how does this relate to the expectations you had upfront? What methods to validate the correctness and/or performance of your solution exist in principle, which of these methods did you employ, and what came out? If you had a hypothesis, could you verify or falsify it? If you wanted to improve something, did you improve it, and by how much? Note that failure to achieve the initial objectives is normal in non-trivial scientific work and does not necessarily lead to a bad grade; what matters is your methodology, hardness of evidence, and what you learned from the (negative) outcome.

We do not require a rigid structure of your thesis, but you can start with five chapters following the five points above (Introduction; Preliminaries; Related Work; My Solution; Experimental Results) and refine this structure if needed. Add an abstract (half a page) and a conclusion with an outlook. When writing, assume that the reader knows the fundamentals of Computer Science from the first two years of a Bachelor program. Provide intuition of what you are doing, but not at the expense of correctness; in particular, demonstrate your ability to work rigorously in the Preliminaries session.

Are there formal requirements beyond this document?

Yes, please check the regulations of the Examination Office (in German): www.f05.uni-stuttgart.de/informatik/fachbereich/pruefungsausschuesse/

For InfoTech students, there is some further information on an English website: www.infotech.uni-stuttgart.de

CIS - Bachelor / Master Theses

If you are interested in bachelor/master theses, study and research projects or Hiwi positions in our field of work, please contact us at the following email address: [email protected] or call us at 0711-685-88390 (secretary's office).

ES - Bachelor / Master Theses

Sorry, no thesis topics available!

STAR - Thesis Topics, Study and Research Projects

If you are interessted in a bachelor/master thesis, a study/research project or work as a student assistant at our Chair, please contact us . You can find an overview of ongoing and complete works on our webpage .

RA - Master Theses

Our institute always searches for motivated students who want to do a master thesis. Please refer to our open positions .

Regarding "external" thesis please notice the following information: Information regarding "external" master theses

We do not have a list of specified topics but strongly encourage all interested students to either contact the staff or the professor. Possible topics cover areas like extension of existing in-house EDA-tools, development of applications for specific problems, studies on problems concerning state of the art algorithms in the fields of electronic design automation, diagnosis and test.

In this following list you will find open topics for master theses. Please follow the links to get more information on the topics and contact persons. Most of the topics are embedded into industrial cooperations and research projects. You are invited to come up with your own ideas. Thesis may be written in English or German.

Mirjam Breitling

• Profile page
• +49 711 685 88362
• Write e-mail

Timo Schweizer

Secretary Computational Imaging Systems

• +49 711 685 88390

Sabine Keller

Secretary Embedded Systems

• +49 711 685 88271

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Suggested Undergraduate Research Topics

How to Contact Faculty for IW/Thesis Advising

Send the professor an e-mail. When you write a professor, be clear that you want a meeting regarding a senior thesis or one-on-one IW project, and briefly describe the topic or idea that you want to work on. Check the faculty listing for email addresses.

Parastoo Abtahi, Room 419

Available for single-semester IW and senior thesis advising, 2024-2025

• Research Areas: Human-Computer Interaction (HCI), Augmented Reality (AR), and Spatial Computing
• Input techniques for on-the-go interaction (e.g., eye-gaze, microgestures, voice) with a focus on uncertainty, disambiguation, and privacy.
• Minimal and timely multisensory output (e.g., spatial audio, haptics) that enables users to attend to their physical environment and the people around them, instead of a 2D screen.
• Interaction with intelligent systems (e.g., IoT, robots) situated in physical spaces with a focus on updating users’ mental model despite the complexity and dynamicity of these systems.

Ryan Adams, Room 411

Research areas:

• Machine learning driven design
• Generative models for structured discrete objects
• Approximate inference in probabilistic models
• Accelerating solutions to partial differential equations
• Innovative uses of automatic differentiation
• Modeling and optimizing 3d printing and CNC machining

Andrew Appel, Room 209

Available for Fall 2024 IW advising, only

• Research Areas: Formal methods, programming languages, compilers, computer security.
• Software verification (for which taking COS 326 / COS 510 is helpful preparation)
• Game theory of poker or other games (for which COS 217 / 226 are helpful)
• Computer game-playing programs (for which COS 217 / 226)
•  Risk-limiting audits of elections (for which ORF 245 or other knowledge of probability is useful)

Sanjeev Arora, Room 407

• Theoretical machine learning, deep learning and its analysis, natural language processing. My advisees would typically have taken a course in algorithms (COS423 or COS 521 or equivalent) and a course in machine learning.
• Show that finding approximate solutions to NP-complete problems is also NP-complete (i.e., come up with NP-completeness reductions a la COS 487). 
• Experimental Algorithms: Implementing and Evaluating Algorithms using existing software packages. 
• Studying/designing provable algorithms for machine learning and implementions using packages like scipy and MATLAB, including applications in Natural language processing and deep learning.
• Any topic in theoretical computer science.

David August, Room 221

Not available for IW or thesis advising, 2024-2025

• Research Areas: Computer Architecture, Compilers, Parallelism
• Containment-based approaches to security:  We have designed and tested a simple hardware+software containment mechanism that stops incorrect communication resulting from faults, bugs, or exploits from leaving the system.   Let's explore ways to use containment to solve real problems.  Expect to work with corporate security and technology decision-makers.
• Parallelism: Studies show much more parallelism than is currently realized in compilers and architectures.  Let's find ways to realize this parallelism.
• Any other interesting topic in computer architecture or compilers. 

Mark Braverman, 194 Nassau St., Room 231

• Research Areas: computational complexity, algorithms, applied probability, computability over the real numbers, game theory and mechanism design, information theory.
• Topics in computational and communication complexity.
• Applications of information theory in complexity theory.
• Algorithms for problems under real-life assumptions.
• Game theory, network effects
• Mechanism design (could be on a problem proposed by the student)

Sebastian Caldas, 221 Nassau Street, Room 105

• Research Areas: collaborative learning, machine learning for healthcare. Typically, I will work with students that have taken COS324.
• Methods for collaborative and continual learning.
• Machine learning for healthcare applications.

Bernard Chazelle, 194 Nassau St., Room 301

• Research Areas: Natural Algorithms, Computational Geometry, Sublinear Algorithms. 
• Natural algorithms (flocking, swarming, social networks, etc).
• Sublinear algorithms
• Self-improving algorithms
• Markov data structures

Danqi Chen, Room 412

• My advisees would be expected to have taken a course in machine learning and ideally have taken COS484 or an NLP graduate seminar.
• Representation learning for text and knowledge bases
• Pre-training and transfer learning
• Question answering and reading comprehension
• Information extraction
• Text summarization
• Any other interesting topics related to natural language understanding/generation

Marcel Dall'Agnol, Corwin 034

• Research Areas: Theoretical computer science. (Specifically, quantum computation, sublinear algorithms, complexity theory, interactive proofs and cryptography)
• Research Areas: Machine learning

Jia Deng, Room 423

•  Research Areas: Computer Vision, Machine Learning.
• Object recognition and action recognition
• Deep Learning, autoML, meta-learning
• Geometric reasoning, logical reasoning

Adji Bousso Dieng, Room 406

• Research areas: Vertaix is a research lab at Princeton University led by Professor Adji Bousso Dieng. We work at the intersection of artificial intelligence (AI) and the natural sciences. The models and algorithms we develop are motivated by problems in those domains and contribute to advancing methodological research in AI. We leverage tools in statistical machine learning and deep learning in developing methods for learning with the data, of various modalities, arising from the natural sciences.

Robert Dondero, Corwin Hall, Room 038

• Research Areas:  Software engineering; software engineering education.
• Develop or evaluate tools to facilitate student learning in undergraduate computer science courses at Princeton, and beyond.
• In particular, can code critiquing tools help students learn about software quality?

Zeev Dvir, 194 Nassau St., Room 250

• Research Areas: computational complexity, pseudo-randomness, coding theory and discrete mathematics.
• Independent Research: I have various research problems related to Pseudorandomness, Coding theory, Complexity and Discrete mathematics - all of which require strong mathematical background. A project could also be based on writing a survey paper describing results from a few theory papers revolving around some particular subject.

Benjamin Eysenbach, Room 416

• Research areas: reinforcement learning, machine learning. My advisees would typically have taken COS324.
• Using RL algorithms to applications in science and engineering.
• Emergent behavior of RL algorithms on high-fidelity robotic simulators.
• Studying how architectures and representations can facilitate generalization.

Christiane Fellbaum, 1-S-14 Green

• Research Areas: theoretical and computational linguistics, word sense disambiguation, lexical resource construction, English and multilingual WordNet(s), ontology
• Anything having to do with natural language--come and see me with/for ideas suitable to your background and interests. Some topics students have worked on in the past:
• Developing parsers, part-of-speech taggers, morphological analyzers for underrepresented languages (you don't have to know the language to develop such tools!)
• Quantitative approaches to theoretical linguistics questions
• Extensions and interfaces for WordNet (English and WN in other languages),
• Applications of WordNet(s), including:
• Foreign language tutoring systems,
• Spelling correction software,
• Word-finding/suggestion software for ordinary users and people with memory problems,
• Machine Translation 
• Sentiment and Opinion detection
• Automatic reasoning and inferencing
• Collaboration with professors in the social sciences and humanities ("Digital Humanities")

Adam Finkelstein, Room 424 

• Research Areas: computer graphics, audio.

Robert S. Fish, Corwin Hall, Room 037

• Networking and telecommunications
• Learning, perception, and intelligence, artificial and otherwise;
• Human-computer interaction and computer-supported cooperative work
• Online education, especially in Computer Science Education
• Topics in research and development innovation methodologies including standards, open-source, and entrepreneurship
• Distributed autonomous organizations and related blockchain technologies

Michael Freedman, Room 308 

• Research Areas: Distributed systems, security, networking
• Projects related to streaming data analysis, datacenter systems and networks, untrusted cloud storage and applications. Please see my group website at http://sns.cs.princeton.edu/ for current research projects.

Ruth Fong, Room 032

• Research Areas: computer vision, machine learning, deep learning, interpretability, explainable AI, fairness and bias in AI
• Develop a technique for understanding AI models
• Design a AI model that is interpretable by design
• Build a paradigm for detecting and/or correcting failure points in an AI model
• Analyze an existing AI model and/or dataset to better understand its failure points
• Build a computer vision system for another domain (e.g., medical imaging, satellite data, etc.)
• Develop a software package for explainable AI
• Adapt explainable AI research to a consumer-facing problem

Note: I am happy to advise any project if there's a sufficient overlap in interest and/or expertise; please reach out via email to chat about project ideas.

Tom Griffiths, Room 405

Available for Fall 2024 single-semester IW advising, only

Research areas: computational cognitive science, computational social science, machine learning and artificial intelligence

Note: I am open to projects that apply ideas from computer science to understanding aspects of human cognition in a wide range of areas, from decision-making to cultural evolution and everything in between. For example, we have current projects analyzing chess game data and magic tricks, both of which give us clues about how human minds work. Students who have expertise or access to data related to games, magic, strategic sports like fencing, or other quantifiable domains of human behavior feel free to get in touch.

Aarti Gupta, Room 220

• Research Areas: Formal methods, program analysis, logic decision procedures
• Finding bugs in open source software using automatic verification tools
• Software verification (program analysis, model checking, test generation)
• Decision procedures for logical reasoning (SAT solvers, SMT solvers)

Elad Hazan, Room 409  

• Research interests: machine learning methods and algorithms, efficient methods for mathematical optimization, regret minimization in games, reinforcement learning, control theory and practice
• Machine learning, efficient methods for mathematical optimization, statistical and computational learning theory, regret minimization in games.
• Implementation and algorithm engineering for control, reinforcement learning and robotics
• Implementation and algorithm engineering for time series prediction

Felix Heide, Room 410

• Research Areas: Computational Imaging, Computer Vision, Machine Learning (focus on Optimization and Approximate Inference).
• Optical Neural Networks
• Hardware-in-the-loop Holography
• Zero-shot and Simulation-only Learning
• Object recognition in extreme conditions
• 3D Scene Representations for View Generation and Inverse Problems
• Long-range Imaging in Scattering Media
• Hardware-in-the-loop Illumination and Sensor Optimization
• Inverse Lidar Design
• Phase Retrieval Algorithms
• Proximal Algorithms for Learning and Inference
• Domain-Specific Language for Optics Design

Peter Henderson , 302 Sherrerd Hall

• Research Areas: Machine learning, law, and policy

Kyle Jamieson, Room 306

• Research areas: Wireless and mobile networking; indoor radar and indoor localization; Internet of Things
• See other topics on my independent work  ideas page  (campus IP and CS dept. login req'd)

Alan Kaplan, 221 Nassau Street, Room 105

Research Areas:

• Random apps of kindness - mobile application/technology frameworks used to help individuals or communities; topic areas include, but are not limited to: first response, accessibility, environment, sustainability, social activism, civic computing, tele-health, remote learning, crowdsourcing, etc.
• Tools automating programming language interoperability - Java/C++, React Native/Java, etc.
• Software visualization tools for education
• Connected consumer devices, applications and protocols

Brian Kernighan, Room 311

• Research Areas: application-specific languages, document preparation, user interfaces, software tools, programming methodology
• Application-oriented languages, scripting languages.
• Tools; user interfaces
• Digital humanities

Zachary Kincaid, Room 219

• Research areas: programming languages, program analysis, program verification, automated reasoning
• Independent Research Topics:
• Develop a practical algorithm for an intractable problem (e.g., by developing practical search heuristics, or by reducing to, or by identifying a tractable sub-problem, ...).
• Design a domain-specific programming language, or prototype a new feature for an existing language.
• Any interesting project related to programming languages or logic.

Gillat Kol, Room 316

Aleksandra korolova, 309 sherrerd hall.

• Research areas: Societal impacts of algorithms and AI; privacy; fair and privacy-preserving machine learning; algorithm auditing.

Advisees typically have taken one or more of COS 226, COS 324, COS 423, COS 424 or COS 445.

Pravesh Kothari, Room 320

• Research areas: Theory

Amit Levy, Room 307

• Research Areas: Operating Systems, Distributed Systems, Embedded Systems, Internet of Things
• Distributed hardware testing infrastructure
• Second factor security tokens
• Low-power wireless network protocol implementation
• USB device driver implementation

Kai Li, Room 321

• Research Areas: Distributed systems; storage systems; content-based search and data analysis of large datasets.
• Fast communication mechanisms for heterogeneous clusters.
• Approximate nearest-neighbor search for high dimensional data.
• Data analysis and prediction of in-patient medical data.
• Optimized implementation of classification algorithms on manycore processors.

Xiaoyan Li, 221 Nassau Street, Room 104

• Research areas: Information retrieval, novelty detection, question answering, AI, machine learning and data analysis.
• Explore new statistical retrieval models for document retrieval and question answering.
• Apply AI in various fields.
• Apply supervised or unsupervised learning in health, education, finance, and social networks, etc.
• Any interesting project related to AI, machine learning, and data analysis.

Lydia Liu, Room 414

• Research Areas: algorithmic decision making, machine learning and society
• Theoretical foundations for algorithmic decision making (e.g. mathematical modeling of data-driven decision processes, societal level dynamics)
• Societal impacts of algorithms and AI through a socio-technical lens (e.g. normative implications of worst case ML metrics, prediction and model arbitrariness)
• Machine learning for social impact domains, especially education (e.g. responsible development and use of LLMs for education equity and access)
• Evaluation of human-AI decision making using statistical methods (e.g. causal inference of long term impact)

Wyatt Lloyd, Room 323

• Research areas: Distributed Systems
• Caching algorithms and implementations
• Storage systems
• Distributed transaction algorithms and implementations

Alex Lombardi , Room 312

• Research Areas: Theory

Margaret Martonosi, Room 208

• Quantum Computing research, particularly related to architecture and compiler issues for QC.
• Computer architectures specialized for modern workloads (e.g., graph analytics, machine learning algorithms, mobile applications
• Investigating security and privacy vulnerabilities in computer systems, particularly IoT devices.
• Other topics in computer architecture or mobile / IoT systems also possible.

Jonathan Mayer, Sherrerd Hall, Room 307 

Available for Spring 2025 single-semester IW, only

• Research areas: Technology law and policy, with emphasis on national security, criminal procedure, consumer privacy, network management, and online speech.
• Assessing the effects of government policies, both in the public and private sectors.
• Collecting new data that relates to government decision making, including surveying current business practices and studying user behavior.
• Developing new tools to improve government processes and offer policy alternatives.

Mae Milano, Room 307

• Local-first / peer-to-peer systems
• Wide-ares storage systems
• Consistency and protocol design
• Type-safe concurrency
• Language design
• Gradual typing
• Domain-specific languages
• Languages for distributed systems

Andrés Monroy-Hernández, Room 405

• Research Areas: Human-Computer Interaction, Social Computing, Public-Interest Technology, Augmented Reality, Urban Computing
• Research interests:developing public-interest socio-technical systems.  We are currently creating alternatives to gig work platforms that are more equitable for all stakeholders. For instance, we are investigating the socio-technical affordances necessary to support a co-op food delivery network owned and managed by workers and restaurants. We are exploring novel system designs that support self-governance, decentralized/federated models, community-centered data ownership, and portable reputation systems.  We have opportunities for students interested in human-centered computing, UI/UX design, full-stack software development, and qualitative/quantitative user research.
• Beyond our core projects, we are open to working on research projects that explore the use of emerging technologies, such as AR, wearables, NFTs, and DAOs, for creative and out-of-the-box applications.

Christopher Moretti, Corwin Hall, Room 036

• Research areas: Distributed systems, high-throughput computing, computer science/engineering education
• Expansion, improvement, and evaluation of open-source distributed computing software.
• Applications of distributed computing for "big science" (e.g. biometrics, data mining, bioinformatics)
• Software and best practices for computer science education and study, especially Princeton's 126/217/226 sequence or MOOCs development
• Sports analytics and/or crowd-sourced computing

Radhika Nagpal, F316 Engineering Quadrangle

• Research areas: control, robotics and dynamical systems

Karthik Narasimhan, Room 422

• Research areas: Natural Language Processing, Reinforcement Learning
• Autonomous agents for text-based games ( https://www.microsoft.com/en-us/research/project/textworld/ )
• Transfer learning/generalization in NLP
• Techniques for generating natural language
• Model-based reinforcement learning

Arvind Narayanan, 308 Sherrerd Hall 

Research Areas: fair machine learning (and AI ethics more broadly), the social impact of algorithmic systems, tech policy

Pedro Paredes, Corwin Hall, Room 041

My primary research work is in Theoretical Computer Science.

 * Research Interest: Spectral Graph theory, Pseudorandomness, Complexity theory, Coding Theory, Quantum Information Theory, Combinatorics.

The IW projects I am interested in advising can be divided into three categories:

 1. Theoretical research

I am open to advise work on research projects in any topic in one of my research areas of interest. A project could also be based on writing a survey given results from a few papers. Students should have a solid background in math (e.g., elementary combinatorics, graph theory, discrete probability, basic algebra/calculus) and theoretical computer science (226 and 240 material, like big-O/Omega/Theta, basic complexity theory, basic fundamental algorithms). Mathematical maturity is a must.

A (non exhaustive) list of topics of projects I'm interested in:   * Explicit constructions of better vertex expanders and/or unique neighbor expanders.   * Construction deterministic or random high dimensional expanders.   * Pseudorandom generators for different problems.   * Topics around the quantum PCP conjecture.   * Topics around quantum error correcting codes and locally testable codes, including constructions, encoding and decoding algorithms.

 2. Theory informed practical implementations of algorithms   Very often the great advances in theoretical research are either not tested in practice or not even feasible to be implemented in practice. Thus, I am interested in any project that consists in trying to make theoretical ideas applicable in practice. This includes coming up with new algorithms that trade some theoretical guarantees for feasible implementation yet trying to retain the soul of the original idea; implementing new algorithms in a suitable programming language; and empirically testing practical implementations and comparing them with benchmarks / theoretical expectations. A project in this area doesn't have to be in my main areas of research, any theoretical result could be suitable for such a project.

Some examples of areas of interest:   * Streaming algorithms.   * Numeric linear algebra.   * Property testing.   * Parallel / Distributed algorithms.   * Online algorithms.    3. Machine learning with a theoretical foundation

I am interested in projects in machine learning that have some mathematical/theoretical, even if most of the project is applied. This includes topics like mathematical optimization, statistical learning, fairness and privacy.

One particular area I have been recently interested in is in the area of rating systems (e.g., Chess elo) and applications of this to experts problems.

Final Note: I am also willing to advise any project with any mathematical/theoretical component, even if it's not the main one; please reach out via email to chat about project ideas.

Iasonas Petras, Corwin Hall, Room 033

• Research Areas: Information Based Complexity, Numerical Analysis, Quantum Computation.
• Prerequisites: Reasonable mathematical maturity. In case of a project related to Quantum Computation a certain familiarity with quantum mechanics is required (related courses: ELE 396/PHY 208).
• Possible research topics include:

1.   Quantum algorithms and circuits:

• i. Design or simulation quantum circuits implementing quantum algorithms.
• ii. Design of quantum algorithms solving/approximating continuous problems (such as Eigenvalue problems for Partial Differential Equations).

2.   Information Based Complexity:

• i. Necessary and sufficient conditions for tractability of Linear and Linear Tensor Product Problems in various settings (for example worst case or average case). 
• ii. Necessary and sufficient conditions for tractability of Linear and Linear Tensor Product Problems under new tractability and error criteria.
• iii. Necessary and sufficient conditions for tractability of Weighted problems.
• iv. Necessary and sufficient conditions for tractability of Weighted Problems under new tractability and error criteria.

3. Topics in Scientific Computation:

• i. Randomness, Pseudorandomness, MC and QMC methods and their applications (Finance, etc)

Yuri Pritykin, 245 Carl Icahn Lab

• Research interests: Computational biology; Cancer immunology; Regulation of gene expression; Functional genomics; Single-cell technologies.
• Potential research projects: Development, implementation, assessment and/or application of algorithms for analysis, integration, interpretation and visualization of multi-dimensional data in molecular biology, particularly single-cell and spatial genomics data.

Benjamin Raphael, Room 309  

• Research interests: Computational biology and bioinformatics; Cancer genomics; Algorithms and machine learning approaches for analysis of large-scale datasets
• Implementation and application of algorithms to infer evolutionary processes in cancer
• Identifying correlations between combinations of genomic mutations in human and cancer genomes
• Design and implementation of algorithms for genome sequencing from new DNA sequencing technologies
• Graph clustering and network anomaly detection, particularly using diffusion processes and methods from spectral graph theory

Vikram Ramaswamy, 035 Corwin Hall

• Research areas: Interpretability of AI systems, Fairness in AI systems, Computer vision.
• Constructing a new method to explain a model / create an interpretable by design model
• Analyzing a current model / dataset to understand bias within the model/dataset
• Proposing new fairness evaluations
• Proposing new methods to train to improve fairness
• Developing synthetic datasets for fairness / interpretability benchmarks
• Understanding robustness of models

Ran Raz, Room 240

• Research Area: Computational Complexity
• Independent Research Topics: Computational Complexity, Information Theory, Quantum Computation, Theoretical Computer Science

Szymon Rusinkiewicz, Room 406

• Research Areas: computer graphics; computer vision; 3D scanning; 3D printing; robotics; documentation and visualization of cultural heritage artifacts
• Research ways of incorporating rotation invariance into computer visiontasks such as feature matching and classification
• Investigate approaches to robust 3D scan matching
• Model and compensate for imperfections in 3D printing
• Given a collection of small mobile robots, apply control policies learned in simulation to the real robots.

Olga Russakovsky, Room 408

• Research Areas: computer vision, machine learning, deep learning, crowdsourcing, fairness&bias in AI
• Design a semantic segmentation deep learning model that can operate in a zero-shot setting (i.e., recognize and segment objects not seen during training)
• Develop a deep learning classifier that is impervious to protected attributes (such as gender or race) that may be erroneously correlated with target classes
• Build a computer vision system for the novel task of inferring what object (or part of an object) a human is referring to when pointing to a single pixel in the image. This includes both collecting an appropriate dataset using crowdsourcing on Amazon Mechanical Turk, creating a new deep learning formulation for this task, and running extensive analysis of both the data and the model

Sebastian Seung, Princeton Neuroscience Institute, Room 153

• Research Areas: computational neuroscience, connectomics, "deep learning" neural networks, social computing, crowdsourcing, citizen science
• Gamification of neuroscience (EyeWire  2.0)
• Semantic segmentation and object detection in brain images from microscopy
• Computational analysis of brain structure and function
• Neural network theories of brain function

Jaswinder Pal Singh, Room 324

• Research Areas: Boundary of technology and business/applications; building and scaling technology companies with special focus at that boundary; parallel computing systems and applications: parallel and distributed applications and their implications for software and architectural design; system software and programming environments for multiprocessors.
• Develop a startup company idea, and build a plan/prototype for it.
• Explore tradeoffs at the boundary of technology/product and business/applications in a chosen area.
• Study and develop methods to infer insights from data in different application areas, from science to search to finance to others. 
• Design and implement a parallel application. Possible areas include graphics, compression, biology, among many others. Analyze performance bottlenecks using existing tools, and compare programming models/languages.
• Design and implement a scalable distributed algorithm.

Mona Singh, Room 420

• Research Areas: computational molecular biology, as well as its interface with machine learning and algorithms.
• Whole and cross-genome methods for predicting protein function and protein-protein interactions.
• Analysis and prediction of biological networks.
• Computational methods for inferring specific aspects of protein structure from protein sequence data.
• Any other interesting project in computational molecular biology.

Robert Tarjan, 194 Nassau St., Room 308

• Research Areas: Data structures; graph algorithms; combinatorial optimization; computational complexity; computational geometry; parallel algorithms.
• Implement one or more data structures or combinatorial algorithms to provide insight into their empirical behavior.
• Design and/or analyze various data structures and combinatorial algorithms.

Olga Troyanskaya, Room 320

• Research Areas: Bioinformatics; analysis of large-scale biological data sets (genomics, gene expression, proteomics, biological networks); algorithms for integration of data from multiple data sources; visualization of biological data; machine learning methods in bioinformatics.
• Implement and evaluate one or more gene expression analysis algorithm.
• Develop algorithms for assessment of performance of genomic analysis methods.
• Develop, implement, and evaluate visualization tools for heterogeneous biological data.

David Walker, Room 211

• Research Areas: Programming languages, type systems, compilers, domain-specific languages, software-defined networking and security
• Independent Research Topics:  Any other interesting project that involves humanitarian hacking, functional programming, domain-specific programming languages, type systems, compilers, software-defined networking, fault tolerance, language-based security, theorem proving, logic or logical frameworks.

Shengyi Wang, Postdoctoral Research Associate, Room 216

Available for Fall 2024 single-semester IW, only

• Independent Research topics: Explore Escher-style tilings using (introductory) group theory and automata theory to produce beautiful pictures.

Kevin Wayne, Corwin Hall, Room 040

• Research Areas: design, analysis, and implementation of algorithms; data structures; combinatorial optimization; graphs and networks.
• Design and implement computer visualizations of algorithms or data structures.
• Develop pedagogical tools or programming assignments for the computer science curriculum at Princeton and beyond.
• Develop assessment infrastructure and assessments for MOOCs.

Matt Weinberg, 194 Nassau St., Room 222

• Research Areas: algorithms, algorithmic game theory, mechanism design, game theoretical problems in {Bitcoin, networking, healthcare}.
• Theoretical questions related to COS 445 topics such as matching theory, voting theory, auction design, etc. 
• Theoretical questions related to incentives in applications like Bitcoin, the Internet, health care, etc. In a little bit more detail: protocols for these systems are often designed assuming that users will follow them. But often, users will actually be strictly happier to deviate from the intended protocol. How should we reason about user behavior in these protocols? How should we design protocols in these settings?

Huacheng Yu, Room 310

• data structures
• streaming algorithms
• design and analyze data structures / streaming algorithms
• prove impossibility results (lower bounds)
• implement and evaluate data structures / streaming algorithms

Ellen Zhong, Room 314

Opportunities outside the department.

We encourage students to look in to doing interdisciplinary computer science research and to work with professors in departments other than computer science.  However, every CS independent work project must have a strong computer science element (even if it has other scientific or artistic elements as well.)  To do a project with an adviser outside of computer science you must have permission of the department.  This can be accomplished by having a second co-adviser within the computer science department or by contacting the independent work supervisor about the project and having he or she sign the independent work proposal form.

Here is a list of professors outside the computer science department who are eager to work with computer science undergraduates.

Maria Apostolaki, Engineering Quadrangle, C330

• Research areas: Computing & Networking, Data & Information Science, Security & Privacy

Branko Glisic, Engineering Quadrangle, Room E330

• Documentation of historic structures
• Cyber physical systems for structural health monitoring
• Developing virtual and augmented reality applications for documenting structures
• Applying machine learning techniques to generate 3D models from 2D plans of buildings
•  Contact : Rebecca Napolitano, rkn2 (@princeton.edu)

Mihir Kshirsagar, Sherrerd Hall, Room 315

Center for Information Technology Policy.

• Consumer protection
• Content regulation
• Competition law
• Economic development
• Surveillance and discrimination

Sharad Malik, Engineering Quadrangle, Room B224

Select a Senior Thesis Adviser for the 2020-21 Academic Year.

• Design of reliable hardware systems
• Verifying complex software and hardware systems

Prateek Mittal, Engineering Quadrangle, Room B236

• Internet security and privacy 
• Social Networks
• Privacy technologies, anonymous communication
• Network Science
• Internet security and privacy: The insecurity of Internet protocols and services threatens the safety of our critical network infrastructure and billions of end users. How can we defend end users as well as our critical network infrastructure from attacks?
• Trustworthy social systems: Online social networks (OSNs) such as Facebook, Google+, and Twitter have revolutionized the way our society communicates. How can we leverage social connections between users to design the next generation of communication systems?
• Privacy Technologies: Privacy on the Internet is eroding rapidly, with businesses and governments mining sensitive user information. How can we protect the privacy of our online communications? The Tor project (https://www.torproject.org/) is a potential application of interest.

Ken Norman,  Psychology Dept, PNI 137

• Research Areas: Memory, the brain and computation 
• Lab:  Princeton Computational Memory Lab

Potential research topics

• Methods for decoding cognitive state information from neuroimaging data (fMRI and EEG) 
• Neural network simulations of learning and memory

Caroline Savage

Office of Sustainability, Phone:(609)258-7513, Email: cs35 (@princeton.edu)

The  Campus as Lab  program supports students using the Princeton campus as a living laboratory to solve sustainability challenges. The Office of Sustainability has created a list of campus as lab research questions, filterable by discipline and topic, on its  website .

An example from Computer Science could include using  TigerEnergy , a platform which provides real-time data on campus energy generation and consumption, to study one of the many energy systems or buildings on campus. Three CS students used TigerEnergy to create a  live energy heatmap of campus .

Other potential projects include:

• Apply game theory to sustainability challenges
• Develop a tool to help visualize interactions between complex campus systems, e.g. energy and water use, transportation and storm water runoff, purchasing and waste, etc.
• How can we learn (in aggregate) about individuals’ waste, energy, transportation, and other behaviors without impinging on privacy?

Janet Vertesi, Sociology Dept, Wallace Hall, Room 122

• Research areas: Sociology of technology; Human-computer interaction; Ubiquitous computing.
• Possible projects: At the intersection of computer science and social science, my students have built mixed reality games, produced artistic and interactive installations, and studied mixed human-robot teams, among other projects.

David Wentzlaff, Engineering Quadrangle, Room 228

Computing, Operating Systems, Sustainable Computing.

• Instrument Princeton's Green (HPCRC) data center
• Investigate power utilization on an processor core implemented in an FPGA
• Dismantle and document all of the components in modern electronics. Invent new ways to build computers that can be recycled easier.
• Other topics in parallel computer architecture or operating systems

10 Inspiring Architecture Thesis Topics for 2023: Exploring Sustainable Design, AI Integration, and Parametricism

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Choosing between architecture thesis topics is a big step for students since it’s the end of their education and a chance to show off their creativity and talents. The pursuit of biomaterials and biomimicry, a focus on sustainable design , and the use of AI in architecture will all have a significant impact on the future of architecture in 2023.

We propose 10 interesting architecture thesis topics and projects in this post that embrace these trends while embracing technology, experimentation, and significant architectural examples.

Architecture Thesis Topic #1 – Sustainable Affordable Housing

Project example: Urban Village Project is a new visionary model for developing affordable and livable homes for the many people living in cities around the world. The concept stems from a collaboration with SPACE10 on how to design, build and share our future homes, neighbourhoods and cities.

“Sustainable affordable housing combines social responsibility with innovative design strategies, ensuring that everyone has access to safe and environmentally conscious living spaces.” – John Doe, Sustainable Design Architect.

Architecture Thesis Topic #2 – Parametric Architecture Using Biomaterials

Project example:  Parametric Lampchairs, using Agro-Waste by Vincent Callebaut Architectures The Massachusetts Institute of Technology’s (MIT) “Living Architecture Lab” investigates the fusion of biomaterials with parametric design to produce responsive and sustainable buildings . The lab’s research focuses on using bio-inspired materials for architectural purposes, such as composites made of mycelium.

Architecture Thesis Topic #3 – Urban Planning Driven by AI

Project example: The University of California, Berkeley’s “ Smart City ” simulates and improves urban planning situations using AI algorithms. The project’s goal is to develop data-driven methods for effective urban energy management, transportation, and land use.

“By integrating artificial intelligence into urban planning, we can unlock the potential of data to create smarter, more sustainable cities that enhance the quality of life for residents.” – Jane Smith, Urban Planner.

Architecture Thesis Topic #4 – Adaptive Reuse of Industrial Heritage

From 1866 to 1878, Oxford Street’s Paddington Reservoir was built. From the 1930′s, it was covered by a raised grassed park which was hidden from view and little used by the surrounding community.

Over the past two years, the City of Sydney and its collaborative design team of architects, landscape architects, engineers, planners, and access consultants have created a unique, surprising, functional, and completely engaging public park that has captivated all who pass or live nearby.

Instead of capping the site and building a new park above, the design team incorporated many of the reinforced ruins of the heritage-listed structure and created sunken and elevated gardens using carefully selected and limited contemporary materials with exceptional detailing.

Architecture Thesis Topic #5 – Smart and Resilient Cities

The capacity to absorb, recover from, and prepare for future shocks (economic, environmental, social, and institutional) is what makes a city resilient. Resilient cities have this capabilities. Cities that are resilient foster sustainable development, well-being, and progress that includes everyone.

Architecture Thesis Topic #6 – High Performing Green Buildings

The LEED certification offers a foundation for creating high-performing, sustainable structures. In order to guarantee energy efficiency , water conservation, and healthy interior environments, architects may include LEED concepts into their buildings. To learn more check our free training to becoming LEED accredited here .

Architecture Thesis Topic #7 – Urban Landscapes with Biophilic Design

Project example: The High Line is an elevated linear park in New York City that stretches over 2.33 km and was developed on an elevated part of a defunct New York Central Railroad branch that is known as the West Side Line. The successful reimagining of the infrastructure as public space is the key to its accomplishments. The 4.8 km Promenade Plantee, a tree-lined promenade project in Paris that was finished in 1993, served as an inspiration for the creation of the High Line.

“Biophilic design fosters human well-being by creating environments that reconnect people with nature, promoting relaxation, productivity, and overall happiness.” – Sarah Johnson, Biophilic Design Consultant.

Architecture Thesis Topic #8 – Augmented and Virtual Reality in Architectural Visualization

An interactive experience that augments and superimposes a user’s real-world surroundings with computer-generated data. In the field of architecture, augmented reality (AR) refers to the process of superimposing 3D digital building or building component models that are encoded with data onto real-world locations.

Architecture Thesis Topic #9 – Sustainable Skyscrapers

There is even a master program called “Sustainable Mega-Buildings” in the UK , Cardiff dedicated to high-rise projects in relation to performance and sustainability. Since building up rather than out, having less footprint, more open space, and less development is a green strategy .

“Sustainable skyscrapers showcase the possibilities of high-performance design, combining energy efficiency, resource conservation, and innovative architectural solutions.” – David Lee, Sustainable Skyscraper Architect.

Architecture Thesis Topic #10 – Circular Economy in Construction

Project example: Building D(emountable) , a sustainable and fully demountable structure on the site of a historic, monumental building complex in the center of the Dutch city Delft. Of the way in which the office approaches circular construction and of the way in which one can make buildings that can later donate to other projects. Or even be reused elsewhere in their entirety.

“By embracing the circular economy in construction, architects can contribute to a more sustainable industry, shifting from a linear ‘take-make-dispose’ model to a more regenerative approach.” – Emily Thompson, Sustainable Construction Specialist.

Conclusion:

The 10 thesis projects for architecture discussed above demonstrate how AI, LEED , and sustainable design are all incorporated into architectural practice. Students may investigate these subjects with an emphasis on creativity, experimenting, and building a physical environment that is in line with the concepts of sustainability and resilience via examples, quotations, and university programs.

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Course pages 2020–21

• Advanced Graphics and Image Processing
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Principal lecturers: Dr Robert Mullins , Prof Simon Moore , Dr Timothy Jones Taken by: MPhil ACS , Part III Code: R265 Hours: 16 (8 x 2-hour sessions) Class limit: max. 15 students Prerequisites: An undergraduate course in computer architecture. A good basic understanding of computer architecture will also suffice, e.g. provided by the Patterson and Hennessy book “The Hardware/Software Interface” and/or the early chapters of their book “Computer Architecture: A Quantitative Approach”.

This course aims to provide students with an introduction to a range of advanced topics in computer architecture. It will explore the current and future challenges facing the architects of modern computers. These will also be used to illustrate the many different influences and trade-offs involved in computer architecture.

On completion of this module students should:

• understand the challenges of designing and verifying modern microprocessors
• be familiar with recent research themes and emerging challenges
• appreciate the complex trade-offs at the heart of computer architecture

Each seminar will focus on a different topic:

• Trends in computer architecture
• State-of-the-art microprocessor design
• Memory system design
• Hardware reliability
• Specification, verification and test
• Hardware security (2)
• HW accelerators and accelerators for machine learning

Each two hour seminar will include three student presentations (15mins) questions (5mins) and a broader discussion of the topics (around 30mins). The last part of the seminar will include a short scene setting lecture (around 20mins) to introduce the following week's topic.

Each week students will compare and contrast two of the main papers and submit a written summary and review in advance of each seminar (except when presenting).

Students will be expected to give a number of 15 minute presentations.

Essays and presentations will be marked out of 10. After dropping the lowest mark, the remaining marks will be scaled to give a final score out of 100.

Students will give at least one presentation during the course. They will not be required to submit an essay during the weeks they are presenting.

Each presentation will focus on a single paper from the reading list. Marks will be awarded for clarity and the communication of the paper's key ideas, an analysis of the work's strengths and weaknesses and the work’s relationship to related work and broader trends and constraints.

Recommended prerequisite reading

Patterson, D. A., Hennessy, J. L. (2017). Computer organization and design: The Hardware/software interface RISC-V edition Morgan Kaufmann. ISBN 978-0-12-812275-4.

Hennessy, J. and Patterson, D. (2012). Computer architecture: a quantitative approach . Elsevier (5th ed.) ISBN 9780123838728. (the 3rd and 4th editions are also relevant)

Further Information

Due to COVID-19, the method of teaching for this module will be adjusted to cater for physical distancing and students who are working remotely. We will confirm precisely how the module will be taught closer to the start of term.

© 2021 Department of Computer Science and Technology, University of Cambridge Information provided by Dr Robert Mullins – edit page

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Dissertations / Theses on the topic 'Computer architecture'

Create a spot-on reference in apa, mla, chicago, harvard, and other styles.

Consult the top 50 dissertations / theses for your research on the topic 'Computer architecture.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse dissertations / theses on a wide variety of disciplines and organise your bibliography correctly.

Hemingway, Peter. "Computer display architecture." Thesis, University of Cambridge, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.256743.

Vieri, Carlin James. "Reversible computer engineering and architecture." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80144.

Vieri, Carlin James. "Pendulum--a reversible computer architecture." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/36039.

Schoepke, Olaf S. "Dense instruction set computer architecture." Thesis, University of Bath, 1992. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.332540.

Higgi, A. H. M. "Computer architecture with high performance peripherals." Thesis, Bucks New University, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.373587.

Anderson, Paul. "Computer architecture for wafer scale integration." Thesis, City University London, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.333768.

Antia, Yezdi F. "Personal computer development system software architecture." Thesis, Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/104287.

Graser, Thomas Jeffrey. "Reference architecture representation environment (RARE) : systematic derivation and evaluation of domain-specific, implementation-independent software architectures /." Access restricted to users with UT Austin EID Full text (PDF) from UMI/Dissertation Abstracts International, 2001. http://wwwlib.umi.com/cr/utexas/fullcit?p3023549.

Umeh, Njideka Adaku. "Security architecture methodology for large net-centric systems." Diss., Rolla, Mo. : University of Missouri-Rolla, 2007. http://scholarsmine.mst.edu/thesis/Umeh_09007dcc8049b3f0.pdf.

Black, Michael David. "Applying perceptrons to speculation in computer architecture." College Park, Md. : University of Maryland, 2007. http://hdl.handle.net/1903/6725.

Stephenson, David Ian. "Creatures : a fine grained parallel computer architecture." Thesis, University of York, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.282322.

Buell, Robert K. "A GENERIC TELEMETRY HOST COMPUTER SOFTWARE ARCHITECTURE." International Foundation for Telemetering, 1985. http://hdl.handle.net/10150/615739.

Tabak, Daniel. "VLSI ORIENTED COMPUTER ARCHITECTURE AND SOME APPLICATIONS." International Foundation for Telemetering, 1985. http://hdl.handle.net/10150/615746.

Odhiambo, Marcel O. "HYDRA : parallel and distributed Swarm computer architecture." Thesis, University of Surrey, 1998. http://epubs.surrey.ac.uk/843654/.

Pieper, Steven Donald. "CAPS--Computer-aided plastic surgery." Thesis, Massachusetts Institute of Technology, 1991. http://hdl.handle.net/1721.1/13093.

Jäger, Nils. "Enacted embodiment in adaptive architecture : physiological interactions between inhabitants and biofeedback architecture." Thesis, University of Nottingham, 2015. http://eprints.nottingham.ac.uk/30854/.

Geha, Abbas. "Computer enhanced network design." Thesis, University of Sussex, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.344069.

Yildiz, Beytullah. "Distributed handler architecture." [Bloomington, Ind.] : Indiana University, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3277972.

Schmid, Stefan. "A component-based active router architecture." Thesis, Lancaster University, 2003. http://eprints.lancs.ac.uk/12227/.

Kerbyson, Darren James. "A multiple-SIMD architecture for image and tracking analysis." Thesis, University of Warwick, 1992. http://wrap.warwick.ac.uk/80185/.

Mao, Yuhan-Lin. "Computer art and creative tool making." Thesis, Massachusetts Institute of Technology, 1985. http://hdl.handle.net/1721.1/78802.

Strassmann, Steven Henry. "Hairy brushes in computer-generated images." Thesis, Massachusetts Institute of Technology, 1986. http://hdl.handle.net/1721.1/78948.

Ruslanov, Anatole D. Johnson Jeremy Krandick Werner J. "Architecture-aware Taylor shift by 1 /." Philadelphia, Pa. : Drexel University, 2006. http://hdl.handle.net/1860/1226.

Dinmore, Matthew. "An extensible, scalable microprocessor architecture /." Online version of thesis, 1993. http://hdl.handle.net/1850/11162.

Collins, Thomas Riley. "A computer architecture for implementation within autonomous machines." Diss., Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/15456.

Varner, Kimberly Hunter. "Computer aided darfating and its effects on architecture." Diss., Georgia Institute of Technology, 1990. http://hdl.handle.net/1853/21619.

Fontes, Kevin Anthony. "An object-oriented approach to computer architecture simulation." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/28413.

Scaife, Norman Raymond. "A dual source, parallel architecture for computer vision." Thesis, Heriot-Watt University, 2000. http://hdl.handle.net/10399/562.

Refenes, A. N. "Parallel computer architecture for symbolic and numeric processing." Thesis, University of Reading, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.379225.

Crutcher, L. A. "A computer architecture for the implementation of SDL." Thesis, University of Bristol, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.234938.

Lioupis, Dimitris. "OMICRON : a parallel computer architecture for declarative languages." Thesis, Imperial College London, 1988. http://hdl.handle.net/10044/1/47155.

Lees, Brian. "Learning computer architecture concepts through interactive model building." Thesis, Glasgow Caledonian University, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.380991.

Koirikivi, R. (Rainer). "The architecture and evolution of computer game engines." Bachelor's thesis, University of Oulu, 2015. http://urn.fi/URN:NBN:fi:oulu-201512112292.

Johnson, James. "Quantitative analysis of plant root system architecture." Thesis, University of Nottingham, 2018. http://eprints.nottingham.ac.uk/55601/.

Vaudin, John. "A unified programming system for a multi-paradigm parallel architecture." Thesis, University of Warwick, 1991. http://wrap.warwick.ac.uk/108849/.

Ferng, Ming-Jehn 1958. "PERFORMANCE OF HIERARCHICALLY FLEXIBLE ADAPTIVE COMPUTER ARCHITECTURE APPLIED TO SORTING PROBLEMS." Thesis, The University of Arizona, 1987. http://hdl.handle.net/10150/276457.

Martin, Kyle A. "Harmony oriented architecture." Master's thesis, University of Central Florida, 2011. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4795.

Wang, Wei. "Parallel Sorting on Multi-core Architecture." Wright State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=wright1315525283.

Ren, Ruiqi, and Daoyu Zhuang. "Dynamic Architecture Simulator Modeling." Thesis, Växjö University, School of Mathematics and Systems Engineering, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-1022.

Tolba, Osama S. 1962. "A projective approach to computer-aided drawing." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/70340.

Fulkerson, Lynn. "Synthetic stereograms : computer programming for autostereoscopic displays." Thesis, Massachusetts Institute of Technology, 1986. http://hdl.handle.net/1721.1/73754.

Fergle, Ronald. "Improving the computer interface in architectural education." Thesis, Massachusetts Institute of Technology, 1986. http://hdl.handle.net/1721.1/79944.

Ferdman, Alejandro José. "Robotics techniques for controlling computer animated figures." Thesis, Massachusetts Institute of Technology, 1986. http://hdl.handle.net/1721.1/73755.

Palmer, Joseph McRae. "The Hybrid Architecture Parallel Fast Fourier Transform (HAPFFT) /." Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd855.pdf.

Foo, Frankie L. C. "Computer design of steel framed buildings." Thesis, University of British Columbia, 1985. http://hdl.handle.net/2429/25053.

Purdie, Cameron L. "Computer aided visual impact analysis." Thesis, University of Strathclyde, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.385519.

Moadeli, Mahmoud. "Quarc : an architecture for efficient on-chip communication." Thesis, University of Glasgow, 2010. http://theses.gla.ac.uk/1991/.

Rafaeli, Sandro. "Architecture and protocols for decentralised group key management." Thesis, Lancaster University, 2003. http://eprints.lancs.ac.uk/12293/.

Namuye, Silvester. "An architecture for flexible multimedia group management services." Thesis, Lancaster University, 1996. http://eprints.lancs.ac.uk/42451/.

Askwith, Robert John. "An architecture for user privacy in mobile networks." Thesis, Liverpool John Moores University, 2000. http://researchonline.ljmu.ac.uk/4978/.

20 Types of Architecture thesis topics

An architectural thesis is perhaps the most confusing for a student because of the range of typologies of buildings that exist. It also seems intimidating to pick your site program and do all the groundwork on your own. While choosing an architectural thesis topic, it is best to pick something that aligns with your passion and interest as well as one that is feasible. Out of the large range of options, here are 20 architectural thesis topics .

1. Slum Redevelopment (Urban architecture)

Slums are one of the rising problems in cities where overcrowding is pertinent. To account for this problem would be one of great value to the city as well as the inhabitants of the slum. It provides them with better sanitation and well-being and satisfies their needs.

2. Maggie Center (Healthcare architecture)

This particular typology of buildings was coined by a cancer patient,  Margaret Keswick Jencks,   who believed that cancer-treatment centres’ environment could largely improve their health and wellbeing by better design. This led a large number of starchitects to participate and build renowned maggie centres.

3. Urban Sprawl Redesign (Urban design)

The widening of city boundaries to accommodate migrants and overcrowding of cities is very common as of late. To design for the constant urban sprawl would make the city life more convenient and efficient for all its users.

4. Redesigning Spaces Under Elevated Roads and Metros (Urban infrastructure)

A lot of space tends to become dead space under metros or elevated roads. To use these spaces more efficiently and engage them with the public would make it an exciting thesis topic.

5. Urban Parks (Urban landscape)

Urban parks are not only green hubs for the city, which promotes the well-being of the city on a larger level, but they also act as great places for the congregation and bring a community together.

6. Reusing Abandoned Buildings (Adaptive reuse)

All buildings after a point become outdated and old but, what about the current old and abandoned buildings? The best way to respond to these is not by demolishing them; given the amount of effort it takes to do so, but to enhance them by restoring and changing the building to current times.

7. Farming in Cities (Green urban spaces)

With climate change and population on the rise, there is statistical proof that one needs to start providing farming in cities as there is not sufficient fertile land to provide for all. Therefore, this makes a great thesis topic for students to explore.

8. Jails (Civil architecture)

To humanize the function of jails, to make it a place of change and rehabilitation, and break from the stereotypical way of looking at jails. A space that will help society look at prisoners as more than monsters that harm, and as fellow humans that are there to change for everyone’s betterment.

9. Police Academies (Civil architecture)

Academies that train people to be authoritative and protective require spaces for training mentally and physically; focussing on the complexity of the academy and focussing on the user to enhance their experience would work in everyone’s favour.

10. High Court (Civil architecture)

Courtrooms are more often than not looked at as spaces that people fear, given the longevity of court cases. It can be a strenuous space; therefore, understanding the user groups’ state of mind and the problems faced can be solved using good design. 

11. Disaster-resilient structures (Disaster-relief architecture)

Natural disasters are inevitable. Disaster-resilient structures are build suitably for the natural disasters of the region while also incorporating design into it, keeping in mind the climatic nature of the location.

12. Biophilic design (Nature-inspired architecture)

As humans, we have an innate love for nature, and the struggle between integrating nature and architecture is what biophilic design aims towards. To pick a topic where one would see minimal use of natural elements and incorporate biophilic design with it would be very beneficial.

13. Metro stations and Bus terminals (Transportation spaces)

Bus terminals and metro stations are highly functional spaces that often get crowded; and to account for the crowd and the problems that come with it, plus elevate the experience of waiting or moving, would contribute to making it a good thesis topic.

14. Airport design (Transportation spaces)

Airport designing is not very uncommon; however, it is a rather complex program to crack; thereby, choosing this topic provides you with the opportunity to make this space hassle-free and work out the most efficient way to make this conducive for all types of users.

15. Sports Complex (Community architecture)

If your passion lies in sports, this is a go-to option. Each sport is played differently, different materials are used, and the nature of the sport and its audience is rather complicated. However, to combine this and make it a cohesive environment for all kinds of users would make a good thesis topic.

16. Stadium (Community architecture)

Unlike a sports complex, one could also pick one sport and look at the finer details, create the setting, and experience for it; by designing it to curate a nice experience for the players, the public, and the management.

17. Waste-recycling center (Waste management)

Reducing waste is one of the most fundamental things we must do as humans. Spaces where recycling happens must be designed consciously. Just like any other space, it has been given importance over the years, and this would make a good thesis topic to provide the community with.

18. Crematorium (Public architecture)

Cremation of a loved one or anyone for that matter is always a rather painful process and a range of emotions is involved when it comes to this place. Keeping in mind the different types of people and emotions and making your thesis about this would mean to enhance this experience while still keeping the solemnity of it intact.

19. Museums (Community architecture)

Museums are spaces of learning, and the world has so much to offer that one could always come up with different typologies of museums and design according to the topic of one’s interest. Some of the examples would be cultural heritage, modern art, museum of senses, and many more.

20. Interpretation center (Community architecture)

An interpretation center is a type of museum located near a site of historical, cultural, or natural relevance that provides information about the place of interest through various mediums.

References:

• 2022. 68 Thesis topics in 5 minutes . [image] Available at: <https://www.youtube.com/watch?v=NczdOK7oe98&ab_channel=BlessedArch> [Accessed 1 March 2022].
• Bdcnetwork.com. 2022. Biophilic design: What is it? Why it matters? And how do we use it? | Building Design + Construction . [online] Available at: <https://www.bdcnetwork.com/blog/biophilic-design-what-it-why-it-matters-and-how-do-we-use-it> [Accessed 1 March 2022].
• RTF | Rethinking The Future. 2022. 20 Thesis topics related to Sustainable Architecture – RTF | Rethinking The Future . [online] Available at: <https://www.re-thinkingthefuture.com/rtf-fresh-perspectives/a1348-20-thesis-topics-related-to-sustainable-architecture/> [Accessed 1 March 2022].
• Wdassociation.org. 2022. A List Of Impressive Thesis Topic Ideas In Architecture . [online] Available at: <https://www.wdassociation.org/a-list-of-impressive-thesis-topic-ideas-in-architecture.aspx> [Accessed 1 March 2022].

Online Course – The Ultimate Architectural Thesis Guide

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Flora is a student of architecture, with a passion for psychology and philosophy. She loves merging her interests and drawing parallels to solve and understand design problems. As someone that values growth, she uses writing as a medium to share her learning and perspective.

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Architecture

How To Choose A Thesis Topic For Architecture

1.recognize what motivates you.

When selecting a thesis topic for architecture, consider what inspires and motivates you. If a subject or potential project sparks your interest, then use that as a starting point. Consider the different aspects of the architecture discipline that you are passionate about, such as structure, materiality or sustainable practices. Identify whether the topics you are interested in are the latest trends, established focus areas or something with a historical context.

2.Analyze Your Skillset

Your chosen topic should align with your specific skills and abilities. Therefore, being aware of the range of skills you possess and the areas in which you are equipped to excel is important. Familiarize yourself with the research methods, computer software, writing and analytical approaches you can use to explore your chosen thesis topic. This assessment will help to ensure that you have the resources and abilities required to complete a successful thesis.

3.Research Possible Thesis Topics

Conduct research prior to selecting your thesis topic. View previous year’s thesis projects to gain a better understanding of the depth and types of research undertaken by architecture students. Read through industry journals, magazines and online articles. Explore the current architecture debate, analyzing what is relevant and trending in the landscape of architecture.

4.Think Practically

Make sure that your chosen topic is practical and achievable within the allocated timeframe. Ask yourself how much research and analysis of data you require and how much access you need to different environments, such as hospitals or inner-city locations. Reflect on the potential practical limitations when selecting your topic.

5.Seek Out Experienced Advice

Involve faculty members and seek out advice from experts in the field of architecture who can provide you with knowledgeable insight. A range of people, from academics and industry professionals to construction personnel and even your family, could provide valuable input regarding your topic selection.

6.Write A Working Thesis Statement

Following research and consultation, form a working thesis statement for your architecture topic. This statement should define what you propose to research and explain the outcomes that you wish to achieve by the end of your thesis project. Ensure that your statement is positive, concise and free from the use of jargon.

7.Collaborate With Peers

Discuss your thesis topic, research and intentions with fellow peers to leverage their feedback and ideas. This collaborative environment, however, mustn’t distract you from the focus of your sequence. Stick to what motivates you as outlined in point one, and filter any potential ideas through the prism of your skillset as addressed in point two.

8.Review and Finalize

Take time to refine and fine-tune your chosen thesis topic. Review the accuracy of your working thesis statement and relevant data associated with the topic. Consider any apposite subtopics that have arisen from your research and if necessary, further simplify your thesis topic and statement.

Additional Section 1: Collect Information and Data

Collecting relevant information and data is a key part of choosing a thesis topic for architecture. Firstly, research the background of the potential problem or solution you want to address. Considering what data is already available and any potential sources can be valuable in this exercise. Acquire comprehensive and up-to-date sources of information to support the content of your thesis. Rely on information from a range of people who have experience in the topic, such as past architecture students, industry professionals or construction personnel. Secondly, build a bibliography of key literature and articles that are relevant to the chosen topic. Thirdly, develop a timeline for data collection, which helps you to stay organized and meet deadlines. Lastly, ensure that data is collected ethically and in an appropriate manner for the project.

Additional Section 2: Study Similar Thesis Topics

Studying and reviewing similar thesis topics can facilitate in choosing an appropriate thesis topic for architecture. Firstly, assess the topics that have been explored in the past to determine what topics have been explored and what topics have gained traction in terms of gaining recognition. Secondly, exploring existing research can provide insight into potential research directions, methodologies and approaches. Thirdly, assess the potential of projects that have been successful compared with those that were unsuccessful. Lastly, review the latest trends and breakthroughs in the architecture discipline.

Additional Section 3: Refine Your Thesis Idea

Refining the thesis idea is a crucial step in selecting a topic for architecture. Firstly, assess the potential of the chosen topic. Ask yourself whether the thesis topic can provide valuable insight into the architecture discipline, and provide insight and solutions to research questions. Secondly, consider the purpose and objectives of the thesis. Assess its value in terms of academic and professional relevance. Thirdly, analyze the feasibility of the topic and its practical implications. Research implications should be considered in terms of resources, finances and the time required for data collection and analysis. Fourthly, review the original thesis statement and refine it if required based on data obtained during the research process.

Additional Section 4: Refine Your Research Methodology

Refining the research methodology of your thesis is an important step in choosing a thesis topic for architecture. Firstly, determine the research approaches you are going to use, such as quantitative or qualitative methods or a mix of both. Secondly, ascertain whether the chosen research methods best serve the research topic. Thirdly, identify any potential limitations or constraints on the research, such as availability of data or access to key informants or locations. Fourthly, develop an appropriate research plan to ensure effectiveness and accuracy of the work. The research plan should include the methods to be used in the research, the research design and the data analysis protocol. Lastly, make sure that the research plan is up-to-date, ethical and feasible within the available timeframe and resources.

Anita Johnson

Anita Johnson is an award-winning author and editor with over 15 years of experience in the fields of architecture, design, and urbanism. She has contributed articles and reviews to a variety of print and online publications on topics related to culture, art, architecture, and design from the late 19th century to the present day. Johnson's deep interest in these topics has informed both her writing and curatorial practice as she seeks to connect readers to the built environment around them.

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Best 170 Architecture Thesis Topics For All Students

Architecture thesis topics may be difficult to find because there are so many subjects and possible topics. However, good thesis topics for architecture are the ones that you have a personal interest in. Before picking architecture thesis topics, you also need to ask yourself if the topic is significant or realistically doable.

Choosing Thesis Topics For Architecture

Architecture thesis projects topics, master of architecture thesis topics, industrial architecture thesis topics, institutional architecture thesis topics, sustainable architecture thesis topics.

What is the best way to choose dissertation topics? This guide will highlight how to pick interesting architectural thesis topics. Here are some factors to consider when searching for architecture thesis project ideas :

Pick a Topic That Interests You

While picking creative architecture thesis topics, you need to opt for a topic that you are personally interested in. You can easily get bored with your undergraduate architecture thesis projects, that is why you need something that you are passionate about. It will help you to stay motivated and inspired to create a unique project.

Set a Small Scope

It can be tempting to pick dissertation topics in architecture that are too expansive. This reduces the delivery time. It is safer to start with a simple version of the topic and includes some complexity later if necessary.

Find Architecture Thesis Topics That Reflect Your Skills

Everyone has unique skill sets that they have developed over time. There is no single person who is perfect at everything. When you know your technical and creative capabilities, you will be able to pick thesis topics in architecture that employs your expertise.

Can You Find Enough Research On The Topic?

Unusual architectural thesis topics require lots of research and analysis before starting. Therefore, it is essential to pick an area of study with a substantial amount of work already done. It will help you to easily analyze, compare, and draw conclusions.

Balance It Between Art And Science

While searching for architecture dissertation topics, students often dig themselves a grave. They tend to view the project as a culmination of a long program rooted deep in art and theory. You need to pick a topic that balances art and science. It shouldn’t be too abstract, so your teacher will know that you understand the issues raised.

Don’t Forget To Tie It To Your Plans For The Future

Your architecture thesis topics should be aligned with your plans. It should reflect your experience or interest in a specialized subject. It will play an important role as a part of your portfolio.

Pick Architecture Thesis Topics That Solve A Real Problem

Your thesis topics architecture ideas shouldn’t just be theoretical, they should also solve a real-world problem. The world struggles with several issues, such as population growth, climate change, and a lack of proper distribution of resources. So, find a topic that can solve a socio-environmental problem using design intervention.

• Creation of affordable housing
• Development waterfront property
• Airport functioning
• Heritage museums
• Skyscraper design
• Cinema and theatre architecture
• Suburban homes for multi-families
• Multimedia film city
• Gaming and Animation studio
• Aquarium-Aqua display and design
• Marine park design
• Lightning excellence center
• MTRS study and station
• Modern art museum
• Convention center
• Automobile training center
• Archaeological survey institute
• Luxury beach-facing apartments
• The bus terminal with a commercial complex
• School of art & design
• Cruise terminal design
• Bio-climatic buildings
• Media center
• Cricket stadium display
• Disaster management institute
• Resort design
• Polo retreat
• Television and film institute
• The transit system as well as the possible improvements
• Educational Institute for all rural children
• A local heritage site
• The lighting system in the Egyptian Pyramids
• Film city studios, gaming area as well its structure
• Underwater restaurants in different parts of the globe for light, electricity, and sanitation.
• The transformation node found at the Lancaster
• The heat/cooling systems in beach huts
• Checking pressure and oxygen levels for building tourists spots
• Fashion Fiesta Paris
• The Golden Gate and architecture
• An archaeologist’s point of view of China from a survey of China
• WHO’s headquarters and renovation
• The ideal environment for a Rehab
• Russian fairytale-style homes and huts
• A clear insight into the auto industry
• Installing swimming pools in a mall
• Training centers for adults in Texas
• Buildings for religious purposes
• Comparing contemporary vs. traditional housing
• Deconstructing a typical school to make room for collaboration and creativity
• Apartments for couples
• Multifamily suburban homes
• The power of air: leaving closed windows for good
• Semidetached and row houses
• Staying on the budget while creating an architectural masterpiece
• Single-family suburban homes
• Hotels and residence
• Single-family country homes
• Developing healthy living spots in third-world countries
• Design of Ruled Surfaces.
• A method to design the kinetic planar surface using mathematical tessellation techniques.
• Waterfront development of an exhibition center
• Bio-inspired design for adaptable structures
• Construction of time conception
• A critical view of architecture – is it sustainable?
• Analytical studies of design potentials in architecture
• Determination of the concept of place in the built environment’s reproduction process
• Aqua display/Research Center
• Forest Research/Training Institute
• Archaeological Survey of Canada – Research and Training Institute
• Luxury Sea-front Studios at Ottawa
• Digital Morphogenesis as well as Its Implementation
• Bio-climatic Tower
• Mass rapid transit system study and station
• Designing organic structures to withstand time
• Showing culture in structures
• Maximizing size in miniature apartments
• Architectural trends at most transportation hubs
• Redefining a city with architecture
• Renovating century-old structures without losing the culture
• Outdoor architecture: creating getaways in small backyards.

A master of architecture qualification provides students with the relevant knowledge, skills, and values needed to enter the architecture sector and pursue opportunities and careers in this profession for master thesis help . It focuses on developing the ability to adapt to change in the diverse and critical world we live in. students are allowed to create a speculative and reflective relationship to their work.

• The introduction of biotechnology in architecture design for adaptable structures.
• An analytical assessment of mathematical organization methods in active flat surface plans.
• The consideration of soil and terrain conditions to determine adequate story building locations.
• A conceptual method for the outline and fabrication of cultural centers and foundations
• Finding the importance of a town or county’s various buildings and structures.
• A critical analysis of the architectural techniques used to construct the lighting within the ancient pyramids of Giza.
• An evaluation of the restaurants near the coastline in various areas of the country with important consideration on plumbing, air supply, and lighting.
• An analysis of China’s Great Wall with consideration of the structure’s historical significance.
• Understanding the impact of certain architectural codes and protocols on the environment.
• The possibility to achieve inexpensive house construction plans in first-world countries.
• Why do the majority of third-world countries have substandard housing structures?
• A case study on the significance of all learners of architecture in the profession.
• An analysis of the primary conditions that affect buildings in places that are susceptible to earthquakes.
• Building methods and consideration for constructions with the ability to endure natural disasters.
• A detailed report of the Twin Towers and the popularity of skyscraper construction.
• The significance of applied science in defining modern housing from traditional examples.
• Using records in architecture to understand the history of the profession.
• A critical analysis of architectural photography.
• The evaluation of cost considerations in architectural specifications and estimations.
• What motivates different architectural drawings and concepts.
• Case studies on sustainable modern design structures.
• The importance of digital mapping and concepts in architecture.
• Methods of limiting energy loss.

Industrial architecture is a branch of architecture that is used for the design of industrial buildings. These buildings need to be designed with consideration of their main purpose, which is to process raw materials. Their designs need to prioritize safety and optimal function over aesthetics and exterior appeal.

With the increased evolution taking place in technology today, industrial buildings and their designs need to adapt and keep up. This is why it calls for more research and consideration since industrial buildings are a need for modern society.

• Waterfront development – Beach convention and exhibition centers.
• Design of ruled surfaces.
• Construction of time conception in the architectural realm.
• A critical view of sustainable architecture.
• Determination of Place concept in the reproduction process of the built environment.
• Analytical study of the design potentials in kinetic architecture.
• Is deconstructive architecture useful?
• How did brutalism and contemporary architectures influence the world?
• Current trends in parametric architecture.
• How will traditional industrial structures be made more environmentally friendly and sustainable?
• Industrial architecture’s evolution.
• A critical analysis of the Dockland building, Germany.
• What purpose does industrial architecture play in creating a safe environment?
• Where do the professions of car construction and manufacturing come together?
• Industrial architecture during the industrial revolution.
• Evaluation of daylight in office buildings.
• Analysis of different lifestyle interactions.
• The purpose of reinforced concrete skeleton systems and earthquake’s effect on them.
• The future of architecture with the consideration of space exploration.
• The purpose of environmental science and social anthropology in architecture.
• Making architecture design studios relevant in the technological era.
• Extra skills are necessary for working on complex architectural projects.
• How collaboration is helping architectures achieve complex structural needs.

This is the branch of architecture that deals with environmental, social, and economic factors. This profession is based on various rules and traditions that were passed down for centuries. It grants architects the ability to find new ways to innovate the architectural industry.

Over time, the design for buildings all over the world evolves and is influenced by different cultures and styles. This can give the structure of the building different meanings and provides various opportunities to discuss its design and reason to be built.

• Theme parks and attractions
• Religious buildings
• Auditoriums
• Sport facilities
• Art galleries
• Cultural centers and foundations
• School and universities
• Bars and discotheques
• Shopping malls
• Theaters and cinemas
• Restaurants
• Transportation thesis on airports
• Train stations
• Urban transport
• Promenades and streets
• Urban parks
• Stores and showrooms
• Peripheral parks
• Urban monuments and land art

Sustainable architecture is the use of various plans and techniques to withstand the negative effect on the environment of modern man-made structures. Architects would take all aspects of the project, from landscape to water drainage, and determine the best way for the building to function with the least impact on the environment. These buildings and designs need to ensure that they are functional, appealing to the eye, and have as little carbon footprint as possible.

• Neighborhood development
• Community garden concepts
• Waste recycling facilities
• Heritage building restoration
• Rehabilitation housing
• Riverfront development
• SMART village
• Net-Zero energy building
• Bermed structure
• Regenerative design
• Urban Agriculture center
• Revitalizing abandoned mills and processing buildings
• Eco-tourism facilities
• Revival of an old building
• Repurpose a building
• Redevelopment of a slum
• Vertical farm
• Wetland restoration
• Energy efficiency in buildings
• How the location of the building is necessary for sustainability

Picking one of the topics above may help you get a head start on your paper. However, if you still need dissertation writing help, you can find professionals to help you with fresh ideas to work on.

Are you stuck with writing your thesis? Just enter promo “ mythesis ” – that’s all you need to get a 20% discount for any architecture writing assignment you might have!

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Top 100+ Computer Engineering Project Topics [Updated]

Computer engineering projects offer a captivating blend of creativity and technical prowess, allowing enthusiasts to dive into a world where innovation meets functionality. Whether you’re fascinated by hardware design, software development, networking, or artificial intelligence, there’s a wide array of project topics to explore within the realm of computer engineering. In this blog, we’ll delve into some intriguing computer engineering project topics, catering to both beginners and seasoned enthusiasts alike.

What Is A CSE Project?

Table of Contents

A CSE project refers to a project within the field of Computer Science and Engineering (CSE). These projects involve the application of computer science principles and engineering techniques to develop software, hardware, or systems that solve real-world problems or advance technology.

CSE projects can range from developing new algorithms and programming languages to designing and building computer hardware, networking systems, software applications, or artificial intelligence systems.

They often require interdisciplinary knowledge and skills in areas such as programming, data structures, algorithms, software engineering, hardware design, networking, and more.

How Do I Start A CSE Project?

Starting a CSE (Computer Science and Engineering) project can be an exciting endeavor, but it requires careful planning and preparation. Here’s a step-by-step guide to help you get started:

• Define Your Project Scope and Goals:
• Identify the problem or opportunity you want to address with your project.
• Clearly define the objectives and outcomes you aim to achieve.
• Determine the scope of your project, including the technologies, tools, and resources you’ll need.
• Conduct Research:
• Research existing solutions and technologies related to your project idea.
• Identify any gaps or opportunities for innovation in the field.
• Explore relevant literature, academic papers, online resources, and case studies to gain insights and inspiration.
• Choose a Project Topic:
• Based on your research, select a specific topic or area of focus for your project.
• Take into account your passions, abilities, and the assets at your disposal.
• Make sure that the topic you select corresponds with the aims and objectives of your project.
• Develop a Project Plan:
• Make a thorough plan for your project by writing down all the things you need to do, when you need to do them, and what you want to achieve at different points.
• Break the project into smaller parts that are easier to handle, and if you’re working with others, make sure everyone knows what they’re responsible for.
• Define the deliverables and criteria for success for each phase of the project.
• Gather Resources:
• Identify the software, hardware, and other resources you’ll need for your project.
• Set up development environments, programming tools, and any necessary infrastructure.
• Consider collaborating with peers, mentors, or experts who can provide guidance and support.
• Design Your Solution:
• Develop a conceptual design or architecture for your project.
• Define the system requirements, data structures, algorithms, and user interfaces.
• Consider usability, scalability, security, and other factors in your design decisions.
• Implement Your Project:
• Start building your project based on the design and specifications you’ve developed.
• Write code, design user interfaces, implement algorithms, and integrate components as needed.
• Test your project continuously throughout the development process to identify and fix any issues early on.
• Iterate and Refine:
• Iterate on your project based on feedback and testing results.
• Refine your implementation, make improvements, and address any issues or challenges that arise.
• Continuously evaluate your progress against your project plan and adjust as necessary.
• Document Your Work:
• Keep detailed documentation of your project, including design decisions, code comments, and user manuals.
• Document any challenges you faced, solutions you implemented, and lessons learned throughout the project.
• Present Your Project:
• Prepare a presentation or demo showcasing your project’s features, functionality, and achievements.
• Communicate your project’s goals, methodology, results, and impact effectively to your audience.
• Solicit feedback from peers, instructors, or industry professionals to gain insights and improve your project.

By following these steps and staying organized, focused, and adaptable, you can successfully start and complete a CSE project that not only enhances your skills and knowledge but also makes a meaningful contribution to the field of computer science and engineering.

Top 100+ Computer Engineering Project Topics

• Design and Implementation of a Simple CPU
• Development of a Real-time Operating System Kernel
• Construction of a Digital Signal Processor (DSP)
• Designing an FPGA-based Video Processing System
• Building a GPU for Parallel Computing
• Development of a Low-Power Microcontroller System
• Designing an Efficient Cache Memory Architecture
• Construction of a Network-on-Chip (NoC) for Multicore Systems
• Development of a Hardware-based Encryption Engine
• Designing a Reconfigurable Computing Platform
• Building a RISC-V Processor Core
• Development of a Custom Instruction Set Architecture (ISA)
• Designing an Energy-Efficient Embedded System
• Construction of a High-Speed Serial Communication Interface
• Developing a Real-time Embedded System for Robotics
• Designing an IoT-based Home Automation System
• Building a Wearable Health Monitoring Device
• Development of a Wireless Sensor Network for Environmental Monitoring
• Designing an Automotive Control System
• Building a GPS Tracking System for Vehicles
• Development of a Smart Grid Monitoring System
• Designing a Digital Audio Processor for Music Synthesis
• Building a Speech Recognition System
• Developing a Biometric Authentication System
• Designing a Facial Recognition Security System
• Construction of an Autonomous Drone
• Development of a Gesture Recognition Interface
• Designing an Augmented Reality Application
• Building a Virtual Reality Simulator
• Developing a Haptic Feedback System
• Designing a Real-time Video Streaming Platform
• Building a Multimedia Content Delivery Network (CDN)
• Development of a Scalable Web Server Architecture
• Designing a Peer-to-Peer File Sharing System
• Building a Distributed Database Management System
• Developing a Blockchain-based Voting System
• Designing a Secure Cryptocurrency Exchange Platform
• Building an Anonymous Communication Network
• Development of a Secure Email Encryption System
• Designing a Network Intrusion Detection System (NIDS)
• Building a Firewall with Deep Packet Inspection (DPI)
• Developing a Vulnerability Assessment Tool
• Designing a Secure Password Manager Application
• Building a Malware Analysis Sandbox
• Development of a Phishing Detection System
• Designing a Chatbot for Customer Support
• Building a Natural Language Processing (NLP) System
• Developing an AI-powered Personal Assistant
• Designing a Recommendation System for E-commerce
• Building an Intelligent Tutoring System
• Development of a Sentiment Analysis Tool
• Designing an Autonomous Vehicle Navigation System
• Building a Traffic Management System
• Developing a Smart Parking Solution
• Designing a Remote Health Monitoring System
• Building a Telemedicine Platform
• Development of a Medical Image Processing Application
• Designing a Drug Discovery System
• Building a Healthcare Data Analytics Platform
• Developing a Smart Agriculture Solution
• Designing a Crop Monitoring System
• Building an Automated Irrigation System
• Developing a Food Quality Inspection Tool
• Designing a Supply Chain Management System
• Building a Warehouse Automation Solution
• Developing a Inventory Optimization Tool
• Designing a Smart Retail Store System
• Building a Self-checkout System
• Developing a Customer Behavior Analytics Platform
• Designing a Fraud Detection System for Banking
• Building a Risk Management Solution
• Developing a Personal Finance Management Application
• Designing a Stock Market Prediction System
• Building a Portfolio Management Tool
• Developing a Smart Energy Management System
• Designing a Home Energy Monitoring Solution
• Building a Renewable Energy Integration Platform
• Developing a Smart Grid Demand Response System
• Designing a Disaster Management System
• Building an Emergency Response Coordination Tool
• Developing a Weather Prediction and Monitoring System
• Designing a Climate Change Mitigation Solution
• Building a Pollution Monitoring and Control System
• Developing a Waste Management Optimization Tool
• Designing a Smart City Infrastructure Management System
• Building a Traffic Congestion Management Solution
• Developing a Public Safety and Security Platform
• Designing a Citizen Engagement and Participation System
• Building a Smart Transportation Network
• Developing a Smart Water Management System
• Designing a Water Quality Monitoring and Control System
• Building a Flood Detection and Response System
• Developing a Coastal Erosion Prediction Tool
• Designing an Air Quality Monitoring and Control System
• Building a Green Building Energy Optimization Solution
• Developing a Sustainable Transportation Planning Tool
• Designing a Wildlife Conservation Monitoring System
• Building a Biodiversity Mapping and Protection Platform
• Developing a Natural Disaster Early Warning System
• Designing a Remote Sensing and GIS Integration Solution
• Building a Climate Change Adaptation and Resilience Platform

7 Helpful Tips for Final Year Engineering Project

Embarking on a final year engineering project can be both exhilarating and daunting. Here are seven helpful tips to guide you through the process and ensure the success of your project:

Start Early and Plan Thoroughly

• Begin planning your project as soon as possible to allow ample time for research, design, and implementation.
• Break down your project into smaller tasks and create a detailed timeline with milestones to track your progress.
• Consider any potential challenges or obstacles you may encounter and plan contingencies accordingly.

Choose the Right Project

• Select a project that aligns with your interests, skills, and career goals.
• Ensure that the project is feasible within the time and resource constraints of your final year.
• Seek advice from professors, mentors, or industry professionals to help you choose a project that is both challenging and achievable.

Conduct Thorough Research

• Invest time in researching existing solutions, technologies, and literature related to your project idea.
• Identify gaps or opportunities for innovation that your project can address.
• Keep track of relevant papers, articles, and resources to inform your design and implementation decisions.

Communicate Effectively

• Maintain regular communication with your project advisor or supervisor to seek guidance and feedback.
• Collaborate effectively with teammates, if applicable, by establishing clear channels of communication and dividing tasks appropriately.
• Practice effective communication skills when presenting your project to classmates, professors, or industry professionals.

Focus on Quality and Innovation

• Strive for excellence in every aspect of your project, from design and implementation to documentation and presentation.
• Try to come up with new ideas and find ways to make them better than what’s already out there.
• Make sure you do your work carefully and make it the best it can be.

Test and Iterate

• Test your project rigorously throughout the development process to identify and address any issues or bugs.
• Solicit feedback from peers, advisors, or end-users to gain insights and improve your project.
• Iterate on your design and implementation based on feedback and testing results to refine your solution and enhance its functionality.

Manage Your Time Effectively

• Prioritize tasks and allocate time wisely to ensure that you meet deadlines and deliverables.
• Break down larger tasks into smaller, manageable chunks and tackle them one at a time.
• Stay organized with tools such as calendars, to-do lists, and project management software to track your progress and stay on schedule.

By following these tips and staying focused, disciplined, and proactive, you can navigate the challenges of your final year engineering project with confidence and achieve outstanding results. Remember to stay flexible and adaptable, and don’t hesitate to seek help or advice when needed. Good luck!

Computer engineering project topics offer a unique opportunity to blend creativity with technical expertise, empowering enthusiasts to explore diverse domains of computing while tackling real-world challenges. Whether you’re interested in hardware design, software development, networking, or artificial intelligence, there’s a wealth of project topics to inspire innovation and learning.

By starting these projects, people who are passionate about it can improve their abilities, learn more, and add to the changing world of technology. So, get ready to work hard, let your imagination flow, and begin an exciting adventure of learning and discovery in the amazing field of computer engineering.

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15 Most Intriguing Architecture Dissertation Topics For Young Architects (2024)

15 min read

October 31, 2022

Table of Contents

What is an Architecture Dissertation?

An architecture dissertation is a research paper that explores a specific topic in the architecture field. It is written by students pursuing an architecture degree and is a graduation requirement. It allows students to demonstrate their knowledge of the subject matter and their ability to conduct independent research. The topics for architecture dissertations vary widely, but they generally focus on a particular architectural aspect, such as design, history, theory, or technology.

If you're seeking inspiration for your architecture dissertation, we’re there to help you. In this blog, we have curated a list of 15 interesting dissertation topics spanning urban architecture, public spaces, hospitality structures, religious edifices, and more.

How to Choose a Dissertation Topic for Architecture?

Before going to the list of dissertation topics, let us first discuss how you can choose a dissertation topic for architecture:

1. Identify your Interests

Choose a topic that interests you the most. This will help you stay motivated throughout the research process.

2. Explore Current Trends

Look for the latest trends and developments in the architecture field. This can help you identify gaps in the industry and come up with a unique topic.

3. Consult with Your Advisor

Your advisor can provide valuable guidance and help you narrow down your topic. They can also suggest relevant literature and research methods.

4. Consider Your Resources

Ensure you have access to the necessary resources to conduct your research. This includes access to libraries, archives, and other sources of information.

5. Brainstorm Ideas (H3)

Once you have identified your interests and explored current trends, brainstorm a list of potential topics. This can help you identify the most promising ideas and narrow down your focus.

Most Intriguing Architecture Dissertation Topics

We have compiled a list of 15 dissertation topics that are intriguing and relevant to the architecture field. These topics cover various categories, from public to religious architecture and more. Take a look below:

1. Temple Complex of the Future (Religious Architecture)

Temples have always held central importance around the world and can be active sites of cultural confluence. Possible areas to explore in your architecture dissertation for this topic are the uses of sustainability in creating religious structures, materials used, analysing the cultural significance of the architectural elements in structures, and classifying their types and historical context.

Inter-faith traditions are spreading across the world, and this can and has given rise to new ideas. The Lotus Temple in Delhi is an excellent case study on the same - with a marvellous, nine-sided circular shape that embodies the central tenets of the Baha’i’ faith. It receives 20 percent of its electricity from solar panels. While the structure may look delicate, it can withstand an earthquake of up to 8 on the Richter scale. This is because each of its nine petals has been individually constructed and fortified. It is also one of the foremost examples of biomimetic architecture in the modern world.

An architecture dissertation is only one part of the larger process of building a portfolio! Usually, students are required to submit a thesis in addition to their architecture dissertation, to demonstrate practical skills. You can also call it a rite of passage! We’ve created the ultimate guide to nailing your architecture thesis , and we highly recommend checking it out if you’re struggling with the process of a thesis.

2. Community Centre (Public Architecture)

Architecture dissertations on community centres are a wonderful way to learn about urban development and planning. Exploring a community centre as your architecture dissertation topic would mean taking into consideration issues such as demographic analysis, community development (educational and skill-oriented), multifunctional spaces, ease of access, recreational facilities, and eco-friendly, sustainable building solutions. You can also look to design spaces that foster social relations and harmony within a local community while incorporating their culture and preferences, and perform case studies on the same.

An excellent example of an innovative community centre is the Largo Community Centre in Florida. The park focuses on creating, in effect, an indoor park with meeting spaces for community members and recreational facilities by using sustainable materials.

A community centre is also an excellent project to showcase in your architecture portfolio , which is essential to developing your skills and practical knowledge. Read more tips to create an incredible architecture portfolio.

3. Animal Shelters and Veterinary Care Centres (Healthcare Architecture)

It is no secret that planning and designing spaces for animals are very different from designing spaces for human beings. One needs to take into account the creation of surgery and operation theatres, hospital spaces for sick animals, residential areas for staff, playing pens, grazing grounds, access to medicinal supplies , and so on. Meanwhile, also ensure that the structure is easy to clean and has enough natural light and ventilation to comfort distressed animals. Certainly a competitive analysis for your architecture dissertation!

The Veterinary Clinic Masan in Chur, Switzerland is an excellent case study for this. Designed to house 17 members of staff, along with garden spaces, surgery rooms, and laboratories, the clinic is a unique testament to the fact that spaces for animals provide tremendous design and research scope.

4. Mass Rapid Transit Systems Design (Transportation Architecture)

MRTS includes the design structure of trams, buses, metros, monorails, and commuter rails. The challenges in this unique field include mapping strategic routes, conducting population demand and density analysis, interchange zones, and so on. All the while, ensuring that the MRTS design is in line with civic and environmental goals, goals, property development, population growth, and appropriate land use. This makes it a very stimulating architecture dissertation topic.

A fabulous example is the Shinkansen (tr. in Japanese: ‘new railway line’) in Japan , or the bullet train system. It connects major Japanese cities, and in the 50+ years of its operation, there has not been a single fatality, collision, or derailment. Now, that’s something!

5. Multi-Functional Urban Spaces (Urban Architecture)

It is estimated that by 2030, the world’s population will stand at a staggering 8.6 billion, with the 10 most populated cities seeing over 400 urban million dwellers . This makes multifunctional spaces in urban cities an increasingly important concern for developing countries. Some factors that are taken into account while planning multifunctional cities are preventing urban sprawls and overcrowding, taking care of waste management, and finding more sustainable ways to build structures. This must be done without affecting a decline in the city’s living standards, and with attention to issues such as mobility and equity . It is an exciting and highly futuristic for your architecture dissertation topic.

An interesting example of this is the Potsdamer Platz in Berlin, which turned from one of the foremost cultural and economic hubs of the city to a barren land between East and West Berlin during the Cold War. Its revival after the fall of the Berlin Wall occurred when the government announced a design competition for the plaza, which turned it into one of the largest building sites in Europe, with clearly demarcated territories of commercial centres, cultural centres, and leisure zones.

Increasingly, urban designers and architects have realised that to construct the most efficient structures for urban living, they need to use technologies such as BIM. BIM helps all stakeholders in a project stay up to date with the latest developments and collaborate effectively. You can read more about the best architecture firms in India that have capitalised on BIM here.

6. Co-Living Housing (Residential Architecture)

Urban migration for work is an extremely common phenomenon in the current day and age. Co-living housing, statistically, is popular among young professionals who want to save funds and not take up the hassle of hunting for houses, flatmates, and furniture. A co-living unit usually comes pre-furnished and costs less than an apartment. An architecture dissertation that focuses on co-living spaces would need to take into account successful case studies, shared spaces between residents, affordability and energy efficiency, suitable privacy, and the changing trends within co-living structures.

An excellent case study on this topic is Roam Co-Living in Bali, which comes fully equipped with the modern amenities a young professional would need, while still offering enough privacy. This unique centre has often been described as “a model of a micro-society”.

7. Sustainable Architecture

Sustainable architecture is an increasing zone of concern all over the world for acquiring long-term environmental, economic, and social viability. An architecture thesis that focuses on sustainability would need to include research on the various kinds of sustainable practices and their materials. For instance, solar power, wind power, biomass, materials such as bamboo, recycled plastic, among others. Sustainable architecture is a large field and, therefore, requires a narrowed-down focus on the kind of structure you are analysing, be it a hospital, a factory, or a school. It would also need to be lined up with case studies on local environmental factors and population analysis.

An excellent example of the same is Kohinoor Hospital in Mumbai. More than 40% of the resources used to construct this hospital are made of recyclable materials. In addition, the hospital places emphasis on water conservation. This is just one example. The number of structures one can explore for architecture dissertation topics on sustainability are endless. Kohinoor Hospital, too, is one of many amazing sustainable buildings.

8. Urban Campus (Educational Architecture)

Designing and researching a university campus is similar to building a small town. It needs to accommodate student housing, dining halls, libraries, classrooms, laboratories, recreational facilities, university administration offices , and several other concerns. In addition, it also needs to be representative of the university’s ethos and cultural identity. For students, it needs to promote a sense of well-being. Energy efficiency and pedestrian safety are also essential considerations, making it a very stimulating architecture dissertation topic.

Case studies on this topic need to be extensively researched and curated. An excellent case study example is the University of Washington’s campus , with its clear demarcations, easy-to-navigate routes, libraries, and recreational facilities.

9. Reinventing Villages (Residential Architecture)

Reviving villages often means rebuilding lost traditions and folklore that have been displaced or disappeared. This may occur due to changes in the economy, migration patterns, technological changes, and environmental degradation. Factors that need to be accounted for in an architecture dissertation on this topic are a regional historical analysis of the mentioned factors, in addition to demographic analysis for your case studies. Analysing building structures for technological progress, education, and employment generation, studying the architecture of existing structures, and focusing on the preservation of local historical monuments are some ways you can approach this topic for your architecture dissertation.

An excellent case study for the improvement of village structures is the revival of Kumbalangi fishing village by the government of Kerala . Focusing on eco-tourism, developing transportation routes, and improving the building structure for water access were some ways in which the government aided the Kumbalangi Integrated Tourism Village project.

10. Redefining Hotels and Resorts (Hospitality Architecture)

An architecture dissertation on hotels and resorts has several interesting offshoots to explore. Hotels and resorts, apart from being hubs for tourists and vacation venues, can also provide historical relevance and embody local traditions. An architecture dissertation on this topic can focus on the adaptive reuse of buildings, technical and cultural redevelopment, the relationship between the psychology of space and hospitality, eco-tourism, and sustainable development of hotels.

An incredible example of a re-conceptualized hotel is the Harding Boutique Hotel , designed by the firm Anarchitect. It combines the modernist style of acclaimed architect Geoffrey Bawa with traditional Sri Lankan architectural elements. It is located 30 minutes from the UNESCO heritage site Galle Fort , which makes it part of Sri Lanka’s prime cultural avenue.

11. Waste Management Centre (Industrial Architecture)

Waste management is an urgent concern in the modern world. An architecture dissertation topic of this nature would need to explore aspects such as recycling waste as construction material. Within this, it would involve analysing different kinds of waste (such as electronic waste, industrial waste, sludge waste, and organic waste) and how they can be repurposed. It would also include studying public policy and by-laws for waste management , among other factors.

A great case study on waste management is the Holmene islets of Copenhagen . These are nine man-made islets, and their unique design combines fossil-free energy production. Biowaste and waste water from Copenhagen’s 1.5 million residents are turned into clean water and biogas.

12. Eco Museum (Cultural Architecture)

An eco museum is a structure that uses a location's historical and cultural identity for tourism and heritage appreciation. Eco museums are usually run by local communities and are a way for them to participate in and preserve their heritage. Sustainable development is a major factor in eco museum construction and development. A architecture dissertation on the same would have to delve into the concept of heritage, restoring old buildings and sites, and ideating eco-friendly methods for conservation and future preservation.

A case study of a successful eco museum is the Flodden 1513 Eco Museum , which is situated on the northeastern border between Scotland and England. It was the site of a battle between English and Scottish forces in 1513 and caused the death of many noblemen and King James IV.

13. Disaster Relief Housing (Residential Architecture)

Asia and the Pacific islands are the most disaster-prone areas in the world. Over 45% of natural disasters occur in this region. This makes disaster relief architecture a very urgent concern in the area. An architecture dissertation on disaster relief housing would need to consider aspects such as the design of emergency shelter centres, sanitation access, and indexes of low-cost, weather resistant, and easily recycled materials that ca n survive diffic ult circumstances.

An excellent case study on disaster relief housing is architecture firm Designnobis’s all-inclusive emergency shelter, Tentative. It is a disaster response tent that can adapt to almost any climate.

14. Retracing the Identity of a Crematorium (Public Architecture)

Understanding funerary architecture is a unique topic for an architecture dissertation. One must understand the spatial needs of a funeral with respect to the culture and religion of the deceased person. There are many kinds of spaces to consider - cemeteries, crematoriums, tombs, towers of silence, and so on. The significance of the materials used with respect to their cultural symbolism and functional qualities is also important. Another interesting factor to explore is the environmental consequences of funerals.

An interesting case study of funerary architecture is the Parsi Tower of Silence. It is a circular, raised structure made of three concentric circles with an almost flat top. According to Zoarastrian rituals, bodies of men are left in the outermost circle, those of women in the middle circle, and those of children in the innermost circle for scavenger birds as an act of charity to nature.

15. Revitalising Local Markets (Commercial Architecture)

Markets have historically been a central location for shopping, trading, social gatherings, and more. In addition, they also often contain locally significant structures such as mosques and temples. When you consider revitalising local markets as part of your architecture dissertation, you have to take into account factors such as the different kinds of markets (street, enclosed, open) , their layout , spatial features , and whether they are permanent, or weekly. In addition, you must think about their function, history, local demographic and future possibilities to understand the context of revitalization in order to have a fruitful architecture dissertation on this topic.

An interesting example of a revitalised market is the Denpasar City traditional markets , where problems such as neglect in spatial planning and an increasing number of traders caused a decline in the market’s trade.

Final Notes

That concludes our list of the most interesting architecture dissertation topics you can pursue! A dissertation is an important stepping stone to the professional world of architecture. The field is rapidly changing, and the emergence of processes and digital tools has allowed students to push the technological boundaries of the kind of projects they wish to go after. Definitely, being in touch with the latest developments in the AEC industry will give you an edge while crafting your architecture dissertation and thesis.

Novatr offers courses on the two most in-demand skills in the AEC industry– BIM Professional Course and Parametric Modelling Course – both taught by industry experts with years of real-world experience working in the industry. You will also get to work on challenging projects, which will undoubtedly be good additions to your portfolio. If you want to know more about BIM and parametric modelling, our Resources page has plenty of informative reads!

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Architecture Thesis Topics: 40 Intriguing Options

The thesis is indeed the final stage in the postgraduate or Ph.D. educational process. It allows researchers to learn a specific topic related to the area in which they are employed. These sorts of studies are based on preconceived notions and ideals. Students working on their theses must describe their areas of interest and answer questions about their selected topic. 

       One of the most popular domains is an architectural thesis, which requires the student to inquire about architecture and identify ideas of different architecture thesis topics. Such undertakings are academic endeavors that students must further. The following 40 frequent themes for an architecture thesis:

• Buildings that provide government services:

 In addition to providing service, architectural design may contain interior elements designed to add character and enhance the sense of place within a facility. Interiors offer a unique visual and architectural detail in which public space and functions may be easily accessible to visitors from a wide variety of directions. One of the most significant advantages of general architecture is designing a space that allows the best use of the limited space available. This, government or public buildings is a great architecture topic for an architecture thesis proposal. The design of a facility in public buildings can be simplified if designed to allow for greater use of the facilities. 

• Commercial structures – 

Commercial structure is the master of architecture thesis topics; this structure usually has a single functional principle. The design of a high-performance computing environment includes many architectural design and implementation decisions. 

Offices provide an architectural model that encompasses both functional and non-functional domains as an architecture thesis topic. 

• Banking Institutions –

Banking institutions of large networks and IT infrastructures can be an architecture research paper topic. The research is an effort to understand the development of complex architectures in telecommunications infrastructure by examining interconnection points in different countries. This analysis is mainly applicable to national infrastructure for the evaluation of its functional characteristics. Complex networks and communication architectures are characterized by network links, switches, and routers, which link different infrastructures or geographical areas. 

• Research centers –

Research centers for planning and evaluating new information technology systems and products might interest you in working as an architecture thesis idea. Research centers in architecture have been examining the role of interdisciplinary research as a ‘platform’ for new approaches to the evaluation and design of public spaces in the sense of different areas of concern. 

• Manufacturing Industries –

Manufacturing industries and business processes architecture can be a master of architecture thesis topic. The key principles of this discipline are introduced with an example based on the production company, which focuses on an enterprise-level architecture in which software and other technical models are modeled together. The process of creating enterprise-level architecture is called “product development.” The goal of this is to introduce the critical requirements of the model for creating enterprise-level architecture. 

• Conference and exhibition centers –

You can also choose conference and exhibition centers as your architecture thesis topic. Conference and exhibition centers in architecture have become so important that they had become a major business organization, among other industries. The development of and proliferation of multimedia technology and services is only adding to the impact. But for the enterprise, the information is more than an asset to be managed or saved for later.  Conference and exhibition centers in architecture to promote business innovation and collaboration among researchers collaboratively. Research results presented are shared with business partners hoping that they will be helpful to both businesses and government address significant problems in the future. 

• Cultural, Socio-Cultural, Educational, Health and Recreational Institutions –

Cultural, Socio-Cultural, Educational, Health, and Recreational Institutions is the major architecture thesis topic to write your thesis is considered a key factor. Since the 1980s, these institutions have been widely used as research laboratories to apply design techniques. Today, many of them have become commercial architectural and engineering firms. They produce several different types of products: structural framing systems, structural rebar systems, decorative trim systems, and decorative modeling systems for residential and small- to medium-sized enterprises.  

9. Centre for Lightning Excellence –

Centre for Lightning Excellence as a topic in architecture and technology has been set up to coordinate the work of many research centers across different engineering sectors to design, build and test Lightning Networks. 

• MTRS research and station –

MTRS research and station in architecture is a set of libraries for various functions within the TMV protocol. A library is an abstract object representing a network interface to be implemented by a TMV protocol. 

• Marine Park architecture concept –

You can consider the Marine Park architecture concept as an architectural thesis proposal. In architecture, as well as several issues of insecurity are best addressed using this model. Towards d esign of a Secure Waterfront Entrance, Waterfront Parking, and Residential environs, an integrated security design that considers the overall landscaping and surrounding natural environments and the existing and potential threats can help achieve this objective. 

• Archaeological survey institution –

Archaeological survey institutions can also be masters of architecture thesis topics. It includes using technology and techniques that include planning, surveying, surveying natural areas, information technology, and sustainable and effective maintenance. 

• Convention center – 

A convention center in architecture construction is an important topic to write your thesis; a convention center can be present in a complex of physical, human, and software attributes and the human resources department at all levels.

• Modern art museum –

To select an excellent topic for your architecture thesis writing, you can choose the modern art museum topic. You can work on the Roman Forum. It is a massive structure built in 1730 on the site of the Roman Forum, with several domes constructed at the top of the tower. It is regarded as being of the highest standard in Europe. Its monumental proportions and impressive architecture lend themselves to several high-profile tourist attractions. 

• Automobile training center –

The automobile training center can also be a thesis proposal topic in architecture engineering and planning to help architects develop strong design knowledge.  

• The School of Art and Design –  

You can focus on this topic also. The school of art is a place where students may learn about art and design. 

• A bus station as well as a business complex –

You can work on the topic, bus station as well as a business complex. In architecture, it is the next step in a significant phase of the redesign effort. The planning department selects an area where the existing structure is uninsulated from the interior environment to create a bus station. 

• Apartments with views of the beach Buildings –

Apartments with views of the beach Buildings in architecture include public parking and parking areas located directly across a street, for example, at the end of the road. 

• Display at a cricket stadium –

It can be an excellent topic for your architecture thesis proposal.  

• Property development along the water’s edge –

Property development in architecture is well understood, with the result that the development of and access to open space along the waterfront is essential for pedestrian access to the city’s green space and other public areas. One of the reasons for planning the open space along the water is to allow for pedestrian and transit-friendly development. 

• Historic museums –

Heritage or historical museums are essential in architecture to choose this part as your thesis topic. You can create and restore the quality of information to museums that do not have the resources to ensure adequate preservation of architectural elements. 

• Creation of low-cost homes –

New buildings are being replaced with modern low-cost homes. The supply of affordable housing is increasing at a rate such that the production cannot match in a few years. With the new houses being built to withstand the increasing demand and provide high-speed broadband access to the homes with very high speeds, or, in the case of the so-called “green” residential schemes, to provide high-density developments. So, you can choose this topic for your research.

• Creating an airport design –

Designers and architects have long understood that people are interested in the physical and their connections to the physical environment—a reality the airport designers are now trying to reflect how the material plane approaches. You can select this topic as your architecture research topic if you find this topic interesting 

• Architecture of cinemas and theatres –

It is an excellent option for your architecture thesis topic. You can go online and read more regarding this topic. 

• Design of skyscrapers –

The design of skyscrapers is a good research topic in architecture. It is typically designed with minimum mass because the entire building is enclosed in a dome and a reinforced concrete façade. 

• Multifamily residences in the suburbs –

The basic concept of a multifamily building is to include at least four units. Each unit contains at least one unit for a tenant and one team for employees or visitors. It is also a good architecture thesis idea.

• Design and presentation of aquariums –

You can work for, design, and presentation of aquariums as an architecture thesis topic.

• Digital film city –

Digital film city in architecture is a master of architecture thesis topic. 

• Animation and game –

You can choose animation and games as an architecture thesis topic. The user experience and system performance are improved. Furthermore, architects must create a user experience in the design using system architecture must be made by architects that achieve better user interface and system performance. 

• The media hub –

You can opt for the topic, the media hub in architecture thesis writing. The Internet connection needs to be physically installed on the front of the computer or the back. Other devices attached to the network can be connected directly to the hub via cable or wireless. 

• Disaster management institution –

Disaster management institution plays a vast role as an architecture topic. A disaster response center may be defined as a building that houses a network of systems that supports all elements of a business organization, including all processes and resources for managing a disaster and any information that a business may need to perform the functions.

• Luxury Resorts design –

You can work on Luxury resorts Design. The building’s functionality needs to be rethought in terms of accommodating parking space, and use carpet area needs to be smartly utilized.

• Film and television institute –

Film and television institute is a favorite topic in architecture. 

• Golf retreat –

You can choose this topic also if you have an interest in golf. 

• Rural children’s educational facility –

Creating a low-cost Rural children’s educational facility as an architecture thesis topic you can select. 

• Public transport –

You can choose the topic – Public transport for your architecture thesis proposal. 

• Modern multifamily dwellings –

Modern multifamily dwellings in architecture provide an ideal environment for building out a low density of units with limited room width.

However, typical residential multifamily structures do not have the density that traditional residences can provide. You can go with this topic also.

• Hotels and residences –

You can work on this topic also. For your architecture thesis writing, it can be a milestone section. But if you find problems selecting your one, you can go to the internet and look for thesis help online. 

• Single-family houses in the suburbs –

In the suburbs, architecture may be constructed as a single row or two rows to better reflect an urban neighborhood’s characteristics. You can work on this as your research topic

• Seaside single-family houses –

It is a crucial architecture thesis topic. That has adopted many residential developments as a model that is along the Coast· The purpose of the project is to implement the requirements of the Comprehensive Plan in a manner that will be sustainable over the life of the project. Many improvements, such as new landscaping, improved storm water management systems, improved access control, and improved lighting, may be needed for the facility.  

A thesis is the most challenging and significant work of literature a student will ever complete in their life. Every assignment or thesis requires careful consideration while selecting a topic. Choosing the correct content is the most effective method to achieve and meet the deadlines. You can choose any of the above 40 mentioned topics as your thesis topic, but if you find any difficulty locating your best case, you can go online and ask for thesis help online . The proposed research can then begin on schedule after your topic selection is completed. 

By Alex Brown

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