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Computer Science and Engineering Theses and Dissertations
Theses/dissertations from 2023 2023.
Refining the Machine Learning Pipeline for US-based Public Transit Systems , Jennifer Adorno
Insect Classification and Explainability from Image Data via Deep Learning Techniques , Tanvir Hossain Bhuiyan
Brain-Inspired Spatio-Temporal Learning with Application to Robotics , Thiago André Ferreira Medeiros
Evaluating Methods for Improving DNN Robustness Against Adversarial Attacks , Laureano Griffin
Analyzing Multi-Robot Leader-Follower Formations in Obstacle-Laden Environments , Zachary J. Hinnen
Secure Lightweight Cryptographic Hardware Constructions for Deeply Embedded Systems , Jasmin Kaur
A Psychometric Analysis of Natural Language Inference Using Transformer Language Models , Antonio Laverghetta Jr.
Graph Analysis on Social Networks , Shen Lu
Deep Learning-based Automatic Stereology for High- and Low-magnification Images , Hunter Morera
Deciphering Trends and Tactics: Data-driven Techniques for Forecasting Information Spread and Detecting Coordinated Campaigns in Social Media , Kin Wai Ng Lugo
Automated Approaches to Enable Innovative Civic Applications from Citizen Generated Imagery , Hye Seon Yi
Theses/Dissertations from 2022 2022
Towards High Performing and Reliable Deep Convolutional Neural Network Models for Typically Limited Medical Imaging Datasets , Kaoutar Ben Ahmed
Task Progress Assessment and Monitoring Using Self-Supervised Learning , Sainath Reddy Bobbala
Towards More Task-Generalized and Explainable AI Through Psychometrics , Alec Braynen
A Multiple Input Multiple Output Framework for the Automatic Optical Fractionator-based Cell Counting in Z-Stacks Using Deep Learning , Palak Dave
On the Reliability of Wearable Sensors for Assessing Movement Disorder-Related Gait Quality and Imbalance: A Case Study of Multiple Sclerosis , Steven Díaz Hernández
Securing Critical Cyber Infrastructures and Functionalities via Machine Learning Empowered Strategies , Tao Hou
Social Media Time Series Forecasting and User-Level Activity Prediction with Gradient Boosting, Deep Learning, and Data Augmentation , Fred Mubang
A Study of Deep Learning Silhouette Extractors for Gait Recognition , Sneha Oladhri
Analyzing Decision-making in Robot Soccer for Attacking Behaviors , Justin Rodney
Generative Spatio-Temporal and Multimodal Analysis of Neonatal Pain , Md Sirajus Salekin
Secure Hardware Constructions for Fault Detection of Lattice-based Post-quantum Cryptosystems , Ausmita Sarker
Adaptive Multi-scale Place Cell Representations and Replay for Spatial Navigation and Learning in Autonomous Robots , Pablo Scleidorovich
Predicting the Number of Objects in a Robotic Grasp , Utkarsh Tamrakar
Humanoid Robot Motion Control for Ramps and Stairs , Tommy Truong
Preventing Variadic Function Attacks Through Argument Width Counting , Brennan Ward
Theses/Dissertations from 2021 2021
Knowledge Extraction and Inference Based on Visual Understanding of Cooking Contents , Ahmad Babaeian Babaeian Jelodar
Efficient Post-Quantum and Compact Cryptographic Constructions for the Internet of Things , Rouzbeh Behnia
Efficient Hardware Constructions for Error Detection of Post-Quantum Cryptographic Schemes , Alvaro Cintas Canto
Using Hyper-Dimensional Spanning Trees to Improve Structure Preservation During Dimensionality Reduction , Curtis Thomas Davis
Design, Deployment, and Validation of Computer Vision Techniques for Societal Scale Applications , Arup Kanti Dey
AffectiveTDA: Using Topological Data Analysis to Improve Analysis and Explainability in Affective Computing , Hamza Elhamdadi
Automatic Detection of Vehicles in Satellite Images for Economic Monitoring , Cole Hill
Analysis of Contextual Emotions Using Multimodal Data , Saurabh Hinduja
Data-driven Studies on Social Networks: Privacy and Simulation , Yasanka Sameera Horawalavithana
Automated Identification of Stages in Gonotrophic Cycle of Mosquitoes Using Computer Vision Techniques , Sherzod Kariev
Exploring the Use of Neural Transformers for Psycholinguistics , Antonio Laverghetta Jr.
Secure VLSI Hardware Design Against Intellectual Property (IP) Theft and Cryptographic Vulnerabilities , Matthew Dean Lewandowski
Turkic Interlingua: A Case Study of Machine Translation in Low-resource Languages , Jamshidbek Mirzakhalov
Automated Wound Segmentation and Dimension Measurement Using RGB-D Image , Chih-Yun Pai
Constructing Frameworks for Task-Optimized Visualizations , Ghulam Jilani Abdul Rahim Quadri
Trilateration-Based Localization in Known Environments with Object Detection , Valeria M. Salas Pacheco
Recognizing Patterns from Vital Signs Using Spectrograms , Sidharth Srivatsav Sribhashyam
Recognizing Emotion in the Wild Using Multimodal Data , Shivam Srivastava
A Modular Framework for Multi-Rotor Unmanned Aerial Vehicles for Military Operations , Dante Tezza
Human-centered Cybersecurity Research — Anthropological Findings from Two Longitudinal Studies , Anwesh Tuladhar
Learning State-Dependent Sensor Measurement Models To Improve Robot Localization Accuracy , Troi André Williams
Human-centric Cybersecurity Research: From Trapping the Bad Guys to Helping the Good Ones , Armin Ziaie Tabari
Theses/Dissertations from 2020 2020
Classifying Emotions with EEG and Peripheral Physiological Data Using 1D Convolutional Long Short-Term Memory Neural Network , Rupal Agarwal
Keyless Anti-Jamming Communication via Randomized DSSS , Ahmad Alagil
Active Deep Learning Method to Automate Unbiased Stereology Cell Counting , Saeed Alahmari
Composition of Atomic-Obligation Security Policies , Yan Cao Albright
Action Recognition Using the Motion Taxonomy , Maxat Alibayev
Sentiment Analysis in Peer Review , Zachariah J. Beasley
Spatial Heterogeneity Utilization in CT Images for Lung Nodule Classication , Dmitrii Cherezov
Feature Selection Via Random Subsets Of Uncorrelated Features , Long Kim Dang
Unifying Security Policy Enforcement: Theory and Practice , Shamaria Engram
PsiDB: A Framework for Batched Query Processing and Optimization , Mehrad Eslami
Composition of Atomic-Obligation Security Policies , Danielle Ferguson
Algorithms To Profile Driver Behavior From Zero-permission Embedded Sensors , Bharti Goel
The Efficiency and Accuracy of YOLO for Neonate Face Detection in the Clinical Setting , Jacqueline Hausmann
Beyond the Hype: Challenges of Neural Networks as Applied to Social Networks , Anthony Hernandez
Privacy-Preserving and Functional Information Systems , Thang Hoang
Managing Off-Grid Power Use for Solar Fueled Residences with Smart Appliances, Prices-to-Devices and IoT , Donnelle L. January
Novel Bit-Sliced In-Memory Computing Based VLSI Architecture for Fast Sobel Edge Detection in IoT Edge Devices , Rajeev Joshi
Edge Computing for Deep Learning-Based Distributed Real-time Object Detection on IoT Constrained Platforms at Low Frame Rate , Lakshmikavya Kalyanam
Establishing Topological Data Analysis: A Comparison of Visualization Techniques , Tanmay J. Kotha
Machine Learning for the Internet of Things: Applications, Implementation, and Security , Vishalini Laguduva Ramnath
System Support of Concurrent Database Query Processing on a GPU , Hao Li
Deep Learning Predictive Modeling with Data Challenges (Small, Big, or Imbalanced) , Renhao Liu
Countermeasures Against Various Network Attacks Using Machine Learning Methods , Yi Li
Towards Safe Power Oversubscription and Energy Efficiency of Data Centers , Sulav Malla
Design of Support Measures for Counting Frequent Patterns in Graphs , Jinghan Meng
Automating the Classification of Mosquito Specimens Using Image Processing Techniques , Mona Minakshi
Models of Secure Software Enforcement and Development , Hernan M. Palombo
Functional Object-Oriented Network: A Knowledge Representation for Service Robotics , David Andrés Paulius Ramos
Lung Nodule Malignancy Prediction from Computed Tomography Images Using Deep Learning , Rahul Paul
Algorithms and Framework for Computing 2-body Statistics on Graphics Processing Units , Napath Pitaksirianan
Efficient Viewshed Computation Algorithms On GPUs and CPUs , Faisal F. Qarah
Relational Joins on GPUs for In-Memory Database Query Processing , Ran Rui
Micro-architectural Countermeasures for Control Flow and Misspeculation Based Software Attacks , Love Kumar Sah
Efficient Forward-Secure and Compact Signatures for the Internet of Things (IoT) , Efe Ulas Akay Seyitoglu
Detecting Symptoms of Chronic Obstructive Pulmonary Disease and Congestive Heart Failure via Cough and Wheezing Sounds Using Smart-Phones and Machine Learning , Anthony Windmon
Toward Culturally Relevant Emotion Detection Using Physiological Signals , Khadija Zanna
Theses/Dissertations from 2019 2019
Beyond Labels and Captions: Contextualizing Grounded Semantics for Explainable Visual Interpretation , Sathyanarayanan Narasimhan Aakur
Empirical Analysis of a Cybersecurity Scoring System , Jaleel Ahmed
Phenomena of Social Dynamics in Online Games , Essa Alhazmi
A Machine Learning Approach to Predicting Community Engagement on Social Media During Disasters , Adel Alshehri
Interactive Fitness Domains in Competitive Coevolutionary Algorithm , ATM Golam Bari
Measuring Influence Across Social Media Platforms: Empirical Analysis Using Symbolic Transfer Entropy , Abhishek Bhattacharjee
A Communication-Centric Framework for Post-Silicon System-on-chip Integration Debug , Yuting Cao
Authentication and SQL-Injection Prevention Techniques in Web Applications , Cagri Cetin
Multimodal Emotion Recognition Using 3D Facial Landmarks, Action Units, and Physiological Data , Diego Fabiano
Robotic Motion Generation by Using Spatial-Temporal Patterns from Human Demonstrations , Yongqiang Huang
A GPU-Based Framework for Parallel Spatial Indexing and Query Processing , Zhila Nouri Lewis
A Flexible, Natural Deduction, Automated Reasoner for Quick Deployment of Non-Classical Logic , Trisha Mukhopadhyay
An Efficient Run-time CFI Check for Embedded Processors to Detect and Prevent Control Flow Based Attacks , Srivarsha Polnati
Force Feedback and Intelligent Workspace Selection for Legged Locomotion Over Uneven Terrain , John Rippetoe
Detecting Digitally Forged Faces in Online Videos , Neilesh Sambhu
Malicious Manipulation in Service-Oriented Network, Software, and Mobile Systems: Threats and Defenses , Dakun Shen
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Home > CICS > CS > CS_DISS
Computer Science Department Dissertations Collection
Dissertations from 2024 2024.
Enabling Privacy and Trust in Edge AI Systems , Akanksha Atrey, Computer Science
Generative Language Models for Personalized Information Understanding , Pengshan Cai, Computer Science
Towards Automatic and Robust Variational Inference , Tomas Geffner, Computer Science
Multi-SLAM Systems for Fault-Tolerant Simultaneous Localization and Mapping , Samer Nashed, Computer Science
Policy Gradient Methods: Analysis, Misconceptions, and Improvements , Christopher P. Nota, Computer Science
Data to science with AI and human-in-the-loop , Gustavo Perez Sarabia, Computer Science
Question Answering By Case-Based Reasoning With Textual Evidence , Dung N. Thai, Computer Science
Dissertations from 2023 2023
An Introspective Approach for Competence-Aware Autonomy , Connor Basich, Computer Science
Foundations of Node Representation Learning , Sudhanshu Chanpuriya, Computer Science
Learning to See with Minimal Human Supervision , Zezhou Cheng, Computer Science
IMPROVING USER EXPERIENCE BY OPTIMIZING CLOUD SERVICES , Ishita Dasgupta, Computer Science
Automating the Formal Verification of Software , Emily First, Computer Science
Learning from Sequential User Data: Models and Sample-efficient Algorithms , Aritra Ghosh, Computer Science
Human-Centered Technologies for Inclusive Collection and Analysis of Public-Generated Data , Mahmood Jasim, Computer Science
Rigorous Experimentation For Reinforcement Learning , Scott M. Jordan, Computer Science
Towards Robust Long-form Text Generation Systems , Kalpesh Krishna, Computer Science
Emerging Trustworthiness Issues in Distributed Learning Systems , Hamid Mozaffari, Computer Science
TOWARDS RELIABLE CIRCUMVENTION OF INTERNET CENSORSHIP , Milad nasresfahani, Computer Science
Evidence Assisted Learning for Clinical Decision Support Systems , Bhanu Pratap Singh Rawat, Computer Science
DESIGN AND ANALYSIS OF CONTENT CACHING SYSTEMS , Anirudh Sabnis, Computer Science
Quantifying and Enhancing the Security of Federated Learning , Virat Vishnu Shejwalkar, Computer Science
Effective and Efficient Transfer Learning in the Era of Large Language Models , Tu Vu, Computer Science
Data-driven Modeling and Analytics for Greening the Energy Ecosystem , John Wamburu, Computer Science
Bayesian Structural Causal Inference with Probabilistic Programming , Sam A. Witty, Computer Science
LEARNING TO RIG CHARACTERS , Zhan Xu, Computer Science
GRAPH REPRESENTATION LEARNING WITH BOX EMBEDDINGS , Dongxu Zhang, Computer Science
Dissertations from 2022 2022
COMBINATORIAL ALGORITHMS FOR GRAPH DISCOVERY AND EXPERIMENTAL DESIGN , Raghavendra K. Addanki, Computer Science
MEASURING NETWORK INTERFERENCE AND MITIGATING IT WITH DNS ENCRYPTION , Seyed Arian Akhavan Niaki, Computer Science
Few-Shot Natural Language Processing by Meta-Learning Without Labeled Data , Trapit Bansal, Computer Science
Communicative Information Visualizations: How to make data more understandable by the general public , Alyxander Burns, Computer Science
REINFORCEMENT LEARNING FOR NON-STATIONARY PROBLEMS , Yash Chandak, Computer Science
Modeling the Multi-mode Distribution in Self-Supervised Language Models , Haw-Shiuan Chang, Computer Science
Nonparametric Contextual Reasoning for Question Answering over Large Knowledge Bases , Rajarshi Das, Computer Science
Languages and Compilers for Writing Efficient High-Performance Computing Applications , Abhinav Jangda, Computer Science
Controllable Neural Synthesis for Natural Images and Vector Art , Difan Liu, Computer Science
Probabilistic Commonsense Knowledge , Xiang Li, Computer Science
DISTRIBUTED LEARNING ALGORITHMS: COMMUNICATION EFFICIENCY AND ERROR RESILIENCE , Raj Kumar Maity, Computer Science
Practical Methods for High-Dimensional Data Publication with Differential Privacy , Ryan H. McKenna, Computer Science
Incremental Non-Greedy Clustering at Scale , Nicholas Monath, Computer Science
High-Quality Automatic Program Repair , Manish Motwani, Computer Science
Unobtrusive Assessment of Upper-Limb Motor Impairment Using Wearable Inertial Sensors , Brandon R. Oubre, Computer Science
Mixture Models in Machine Learning , Soumyabrata Pal, Computer Science
Decision Making with Limited Data , Kieu My Phan, Computer Science
Neural Approaches for Language-Agnostic Search and Recommendation , Hamed Rezanejad Asl Bonab, Computer Science
Low Resource Language Understanding in Voice Assistants , Subendhu Rongali, Computer Science
Enabling Daily Tracking of Individual’s Cognitive State With Eyewear , Soha Rostaminia, Computer Science
LABELED MODULES IN PROGRAMS THAT EVOLVE , Anil K. Saini, Computer Science
Reliable Decision-Making with Imprecise Models , Sandhya Saisubramanian, Computer Science
Data Scarcity in Event Analysis and Abusive Language Detection , Sheikh Muhammad Sarwar, Computer Science
Representation Learning for Shape Decomposition, By Shape Decomposition , Gopal Sharma, Computer Science
Metareasoning for Planning and Execution in Autonomous Systems , Justin Svegliato, Computer Science
Approximate Bayesian Deep Learning for Resource-Constrained Environments , Meet Prakash Vadera, Computer Science
ANSWER SIMILARITY GROUPING AND DIVERSIFICATION IN QUESTION ANSWERING SYSTEMS , Lakshmi Nair Vikraman, Computer Science
Dissertations from 2021 2021
Neural Approaches to Feedback in Information Retrieval , Keping Bi, Computer Science
Sociolinguistically Driven Approaches for Just Natural Language Processing , Su Lin Blodgett, Computer Science
Enabling Declarative and Scalable Prescriptive Analytics in Relational Data , Matteo Brucato, Computer Science
Neural Methods for Answer Passage Retrieval over Sparse Collections , Daniel Cohen, Computer Science
Utilizing Graph Structure for Machine Learning , Stefan Dernbach, Computer Science
Enhancing Usability and Explainability of Data Systems , Anna Fariha, Computer Science
Algorithms to Exploit Data Sparsity , Larkin H. Flodin, Computer Science
3D Shape Understanding and Generation , Matheus Gadelha, Computer Science
Robust Algorithms for Clustering with Applications to Data Integration , Sainyam Galhotra, Computer Science
Improving Evaluation Methods for Causal Modeling , Amanda Gentzel, Computer Science
SAFE AND PRACTICAL MACHINE LEARNING , Stephen J. Giguere, Computer Science
COMPACT REPRESENTATIONS OF UNCERTAINTY IN CLUSTERING , Craig Stuart Greenberg, Computer Science
Natural Language Processing for Lexical Corpus Analysis , Abram Kaufman Handler, Computer Science
Social Measurement and Causal Inference with Text , Katherine A. Keith, Computer Science
Concentration Inequalities in the Wild: Case Studies in Blockchain & Reinforcement Learning , A. Pinar Ozisik, Computer Science
Resource Allocation in Distributed Service Networks , Nitish Kumar Panigrahy, Computer Science
History Modeling for Conversational Information Retrieval , Chen Qu, Computer Science
Design and Implementation of Algorithms for Traffic Classification , Fatemeh Rezaei, Computer Science
SCALING DOWN THE ENERGY COST OF CONNECTING EVERYDAY OBJECTS TO THE INTERNET , Mohammad Rostami, Computer Science
Deep Learning Models for Irregularly Sampled and Incomplete Time Series , Satya Narayan Shukla, Computer Science
Traffic engineering in planet-scale cloud networks , Rachee Singh, Computer Science
Video Adaptation for High-Quality Content Delivery , Kevin Spiteri, Computer Science
Learning from Limited Labeled Data for Visual Recognition , Jong-Chyi Su, Computer Science
Human Mobility Monitoring using WiFi: Analysis, Modeling, and Applications , Amee Trivedi, Computer Science
Geometric Representation Learning , Luke Vilnis, Computer Science
Understanding of Visual Domains via the Lens of Natural Language , Chenyun Wu, Computer Science
Towards Practical Differentially Private Mechanism Design and Deployment , Dan Zhang, Computer Science
Audio-driven Character Animation , Yang Zhou, Computer Science
Dissertations from 2020 2020
Noise-Aware Inference for Differential Privacy , Garrett Bernstein, Computer Science
Motion Segmentation - Segmentation of Independently Moving Objects in Video , Pia Katalin Bideau, Computer Science
An Empirical Assessment of the Effectiveness of Deception for Cyber Defense , Kimberly J. Ferguson-Walter, Computer Science
Integrating Recognition and Decision Making to Close the Interaction Loop for Autonomous Systems , Richard Freedman, Computer Science
Improving Reinforcement Learning Techniques by Leveraging Prior Experience , Francisco M. Garcia, Computer Science
Optimization and Training of Generational Garbage Collectors , Nicholas Jacek, Computer Science
Understanding the Dynamic Visual World: From Motion to Semantics , Huaizu Jiang, Computer Science
Improving Face Clustering in Videos , SouYoung Jin, Computer Science
Reasoning About User Feedback Under Identity Uncertainty in Knowledge Base Construction , Ariel Kobren, Computer Science
Learning Latent Characteristics of Data and Models using Item Response Theory , John P. Lalor, Computer Science
Higher-Order Representations for Visual Recognition , Tsung-Yu Lin, Computer Science
Learning from Irregularly-Sampled Time Series , Steven Cheng-Xian Li, Computer Science
Dynamic Composition of Functions for Modular Learning , Clemens GB Rosenbaum, Computer Science
Improving Visual Recognition With Unlabeled Data , Aruni Roy Chowdhury, Computer Science
Deep Neural Networks for 3D Processing and High-Dimensional Filtering , Hang Su, Computer Science
Towards Optimized Traffic Provisioning and Adaptive Cache Management for Content Delivery , Aditya Sundarrajan, Computer Science
The Limits of Location Privacy in Mobile Devices , Keen Yuun Sung, Computer Science
ALGORITHMS FOR MASSIVE, EXPENSIVE, OR OTHERWISE INCONVENIENT GRAPHS , David Tench, Computer Science
System Design for Digital Experimentation and Explanation Generation , Emma Tosch, Computer Science
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This collection of MIT Theses in DSpace contains selected theses and dissertations from all MIT departments. Please note that this is NOT a complete collection of MIT theses. To search all MIT theses, use MIT Libraries' catalog .
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Home > College of Natural Sciences > COMPUTERSCI-ENGINEERING > COMPUTERSCI-ENGINEERING-ETD
Computer Science and Engineering Theses, Projects, and Dissertations
Theses/projects/dissertations from 2024 2024.
TRAFFIC ANALYSIS OF CITIES IN SAN BERNARDINO COUNTY , Sai Kalyan Ayyagari
Recommendation System using machine learning for fertilizer prediction , Durga Rajesh Bommireddy
Classification of Remote Sensing Image Data Using Rsscn-7 Dataset , Satya Priya Challa
Cultural Awareness Application , Bharat Gupta
PREDICTING HOSPITALIZATION USING ARTIFICIAL INTELLIGENCE , Sanath Hiremath
AUTOMATED BRAIN TUMOR CLASSIFIER WITH DEEP LEARNING , venkata sai krishna chaitanya kandula
TRUCK TRAFFIC ANALYSIS IN THE INLAND EMPIRE , Bhavik Khatri
Crash Detecting System Using Deep Learning , Yogesh Reddy Muddam
A SMART HYBRID ENHANCED RECOMMENDATION AND PERSONALIZATION ALGORITHM USING MACHINE LEARNING , Aswin Kumar Nalluri
Theses/Projects/Dissertations from 2023 2023
CLASSIFICATION OF LARGE SCALE FISH DATASET BY DEEP NEURAL NETWORKS , Priyanka Adapa
GEOSPATIAL WILDFIRE RISK PREDICTION USING DEEP LEARNING , Abner Alberto Benavides
HUMAN SUSPICIOUS ACTIVITY DETECTION , Nilamben Bhuva
MAX FIT EVENT MANAGEMENT WITH SALESFORCE , AKSHAY DAGWAR
MELANOMA DETECTION BASED ON DEEP LEARNING NETWORKS , Sanjay Devaraneni
Heart Disease Prediction Using Binary Classification , Virendra Sunil Devare
CLASSIFICATION OF THORAX DISEASES FROM CHEST X-RAY IMAGES , Sharad Jayusukhbhai Dobariya
WEB BASED MANAGEMENT SYSTEM FOR HOUSING SOCIETY , Likhitha Reddy Eddala
Sales and Stock Management System , Rashmika Gaddam Ms
CONTACTLESS FOOD ORDERING SYSTEM , Rishivar Kumar Goli
RESTAURANT MANAGEMENT WEBSITE , Akhil Sai Gollapudi
DISEASE OF LUNG INFECTION DETECTION USING CNN MODEL -BAYESIAN OPTIMIZATION , poojitha gutha
DATA POISONING ATTACKS ON PHASOR MEASUREMENT UNIT DATA , Rutuja Sanjeev Haridas
CRIME MAPPING ANALYSIS USING WEB APPLICATION. , Lavanya Krishnappa
A LONG-TERM FUNDS PREDICTOR BASED ON DEEP LEARNING , SHUIYI KUANG
LIVER SEGMENTATION AND LESION DETECTION IN MEDICAL IMAGES USING A DEEP LEARNING-BASED U-NET MODEL , Kaushik Mahida
PHASOR MEASUREMENT UNIT DATA VISUALIZATION , Nikhila Mandava
TWITTER POLICING , Hemanth Kumar Medisetty
TRANSACTION MANAGEMENT SYSYEM FOR A PUBLISHER , HASSAIN SHAREEF MOHAMMED JR
LOBANGU: AN OPTICAL CHARACTER RECOGNITION RECEIPT MANAGEMENT APP FOR HEALTH CENTER PHARMACIES IN THE D.R.CONGO AND SURROUNDING EASTERN AFRICAN COUNTRIES , Bénis Munganga
PREDICTIVE MODEL FOR CFPB CONSUMER COMPLAINTS , Vyshnavi Nalluri
REVIEW CLASSIFICATION USING NATURAL LANGUAGE PROCESSING AND DEEP LEARNING , Brian Nazareth
Brain Tumor Detection Using MRI Images , Mayur Patel
QUIZ WEB APPLICATION , Dipti Rathod
HYPOTHYROID DISEASE ANALYSIS BY USING MACHINE LEARNING , SANJANA SEELAM
Pillow Based Sleep Tracking Device Using Raspberry Pi , Venkatachalam Seviappan
FINSERV ANDROID APPLICATION , Harsh Piyushkumar Shah
AUTOMATED MEDICAL NOTES LABELLING AND CLASSIFICATION USING MACHINE LEARNING , Akhil Prabhakar Thota
GENETIC PROGRAMMING TO OPTIMIZE PERFORMANCE OF MACHINE LEARNING ALGORITHMS ON UNBALANCED DATA SET , Asitha Thumpati
GOVERNMENT AID PORTAL , Darshan Togadiya
GENERAL POPULATION PROJECTION MODEL WITH CENSUS POPULATION DATA , Takenori Tsuruga
LUNG LESION SEGMENTATION USING DEEP LEARNING APPROACHES , Sree Snigdha Tummala
DETECTION OF PHISHING WEBSITES USING MACHINE LEARNING , Saranya Valleri
Machine Learning for Kalman Filter Tuning Prediction in GPS/INS Trajectory Estimation , Peter Wright
Theses/Projects/Dissertations from 2022 2022
LEARN PROGRAMMING IN VIRTUAL REALITY? A PROJECT FOR COMPUTER SCIENCE STUDENTS , Benjamin Alexander
LUNG CANCER TYPE CLASSIFICATION , Mohit Ramajibhai Ankoliya
HIGH-RISK PREDICTION FOR COVID-19 PATIENTS USING MACHINE LEARNING , Raja Kajuluri
IMPROVING INDIA’S TRAFFIC MANAGEMENT USING INTELLIGENT TRANSPORTATION SYSTEMS , Umesh Makhloga
DETECTION OF EPILEPSY USING MACHINE LEARNING , Balamurugan Murugesan
SOCIAL MOBILE APPLICATION: UDROP , Mahmoud Oraiqat
Improved Sensor-Based Human Activity Recognition Via Hybrid Convolutional and Recurrent Neural Networks , Sonia Perez-Gamboa
College of Education FileMaker Extraction and End-User Database Development , Andrew Tran
DEEP LEARNING EDGE DETECTION IN IMAGE INPAINTING , Zheng Zheng
Theses/Projects/Dissertations from 2021 2021
A General Conversational Chatbot , Vipin Nambiar
Verification System , Paras Nigam
DESKTOP APPLICATION FOR THE PUZZLE BOARD GAME “RUSH HOUR” , Huanqing Nong
Ahmedabad City App , Rushabh Picha
COMPUTER SURVEILLANCE SYSTEM USING WI-FI FOR ANDROID , Shashank Reddy Saireddy
ANDROID PARKING SYSTEM , Vishesh Reddy Sripati
Sentiment Analysis: Stock Index Prediction with Multi-task Learning and Word Polarity Over Time , Yue Zhou
Theses/Projects/Dissertations from 2020 2020
BUBBLE-IN DIGITAL TESTING SYSTEM , Chaz Hampton
FEEDBACK REVIEW SYSTEM USING SENTIMENT ANALYSIS , Vineeth Kukkamalla
WEB APPLICATION FOR MOVIE PERFORMANCE PREDICTION , Devalkumar Patel
Theses/Projects/Dissertations from 2019 2019
REVIEWS TO RATING CONVERSION AND ANALYSIS USING MACHINE LEARNING TECHNIQUES , Charitha Chanamolu
EASY EXAM , SARTHAK DABHI
EXTRACT TRANSFORM AND LOADING TOOL FOR EMAIL , Amit Rajiv Lawanghare
VEHICLE INFORMATION SYSTEM USING BLOCKCHAIN , Amey Zulkanthiwar
Theses/Projects/Dissertations from 2018 2018
USING AUTOENCODER TO REDUCE THE LENGTH OF THE AUTISM DIAGNOSTIC OBSERVATION SCHEDULE (ADOS) , Sara Hussain Daghustani
California State University, San Bernardino Chatbot , Krutarth Desai
ORGANIZE EVENTS MOBILE APPLICATION , Thakshak Mani Chandra Reddy Gudimetla
SOCIAL NETWORK FOR SOFTWARE DEVELOPERS , Sanket Prabhakar Jadhav
VIRTUALIZED CLOUD PLATFORM MANAGEMENT USING A COMBINED NEURAL NETWORK AND WAVELET TRANSFORM STRATEGY , Chunyu Liu
INTER PROCESS COMMUNICATION BETWEEN TWO SERVERS USING MPICH , Nagabhavana Narla
SENSOR-BASED HUMAN ACTIVITY RECOGNITION USING BIDIRECTIONAL LSTM FOR CLOSELY RELATED ACTIVITIES , Arumugam Thendramil Pavai
NEURAL NETWORK ON VIRTUALIZATION SYSTEM, AS A WAY TO MANAGE FAILURE EVENTS OCCURRENCE ON CLOUD COMPUTING , Khoi Minh Pham
EPICCONFIGURATOR COMPUTER CONFIGURATOR AND CMS PLATFORM , IVO A. TANTAMANGO
STUDY ON THE PATTERN RECOGNITION ENHANCEMENT FOR MATRIX FACTORIZATIONS WITH AUTOMATIC RELEVANCE DETERMINATION , hau tao
Theses/Projects/Dissertations from 2017 2017
CHILDREN’S SOCIAL NETWORK: KIDS CLUB , Eiman Alrashoud
MULTI-WAY COMMUNICATION SYSTEM , S. Chinnam
WEB APPLICATION FOR GRADUATE COURSE RECOMMENDATION SYSTEM , Sayali Dhumal
MOBILE APPLICATION FOR ATTENDANCE SYSTEM COYOTE-ATTENDANCE , Sindhu Hari
WEB APPLICATION FOR GRADUATE COURSE ADVISING SYSTEM , Sanjay Karrolla
Custom T-Shirt Designs , Ranjan Khadka
STUDENT CLASS WAITING LIST ENROLLMENT , AISHWARYA LACHAGARI
ANDROID MOBILE APPLICATION FOR HOSPITAL EXECUTIVES , Vihitha Nalagatla
PIPPIN MACHINE , Kiran Reddy Pamulaparthy
SOUND MODE APPLICATION , Sindhuja Pogaku
I2MAPREDUCE: DATA MINING FOR BIG DATA , Vishnu Vardhan Reddy Sherikar
COMPARING AND IMPROVING FACIAL RECOGNITION METHOD , Brandon Luis Sierra
NATURAL LANGUAGE PROCESSING BASED GENERATOR OF TESTING INSTRUMENTS , Qianqian Wang
AUTOMATIC GENERATION OF WEB APPLICATIONS AND MANAGEMENT SYSTEM , Yu Zhou
Theses/Projects/Dissertations from 2016 2016
CLOTH - MODELING, DEFORMATION, AND SIMULATION , Thanh Ho
CoyoteLab - Linux Containers for Educational Use , Michael D. Korcha
PACKET FILTER APPROACH TO DETECT DENIAL OF SERVICE ATTACKS , Essa Yahya M Muharish
DATA MINING: TRACKING SUSPICIOUS LOGGING ACTIVITY USING HADOOP , Bir Apaar Singh Sodhi
Theses/Projects/Dissertations from 2015 2015
APPLY DATA CLUSTERING TO GENE EXPRESSION DATA , Abdullah Jameel Abualhamayl Mr.
Density Based Data Clustering , Rayan Albarakati
Developing Java Programs on Android Mobile Phones Using Speech Recognition , Santhrushna Gande
THE DESIGN AND IMPLEMENTATION OF AN ADAPTIVE CHESS GAME , Mehdi Peiravi
CALIFORNIA STATE UNIVERSITY SAN BERNARDINO WiN GPS , Francisco A. Ron
ESTIMATION ON GIBBS ENTROPY FOR AN ENSEMBLE , Lekhya Sai Sake
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All of our academic staff are research active, working with a team of post-graduate and post-doctoral researchers and a lively population of research students. Our research focuses on core themes of theoretical and practical computer science: artificial intelligence and symbolic computation, networked and distributed systems, systems engineering, and human computer interaction.
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Home > School, College, or Department > MCECS > Computer Science > Dissertations and Theses
Computer Science Dissertations and Theses
Theses/dissertations from 2024 2024.
MmWave RAT Optimization: MAC Layer Initial Access Design and Transport Layer Integration , Suresh Srinivasan (Dissertation)
Theses/Dissertations from 2023 2023
Seeing in the Dark: Towards Robust Pedestrian Detection at Nighttime , Afnan Althoupety (Dissertation)
A Deep Hierarchical Variational Autoencoder for World Models in Complex Reinforcement Learning Environments , Sriharshitha Ayyalasomayajula (Thesis)
Toward Efficient Rendering: A Neural Network Approach , Qiqi Hou (Dissertation)
Energy Auction with Non-Relational Persistence , Michael Ramez Howard (Thesis)
Implementing a Functional Logic Programming Language via the Fair Scheme , Andrew Michael Jost (Dissertation)
Multi-Agent Deep Reinforcement Learning for Radiation Localization , Benjamin Scott Totten (Thesis)
Theses/Dissertations from 2022 2022
Using Intrinsically-Typed Definitional Interpreters to Verify Compiler Optimizations in a Monadic Intermediate Language , Dani Barrack (Thesis)
An Automated Zoom Class Session Analysis Tool to Improve Education , Jack Arlo Cannon II (Thesis)
Scaling EPA-RIMM with Multicore System Management Interrupt Handlers , Alexander K. Freed (Thesis)
Unpaired Style Transfer Conditional Generative Adversarial Network for Scanned Document Generation , David Jonathan Hawbaker (Thesis)
Toward Analyzing the Diversity of Extractive Summaries , Aaron David Hudson (Thesis)
Making Curry with Rice: An Optimizing Curry Compiler , Steven Libby (Dissertation)
Domain Knowledge as Motion-Aware Inductive Bias for Deep Video Synthesis: Two Case Studies , Long Mai (Dissertation)
Theses/Dissertations from 2021 2021
Efficient Neuromorphic Algorithms for Gamma-Ray Spectrum Denoising and Radionuclide Identification , Merlin Phillip Carson (Thesis)
Storing Intermediate Results in Space and Time: SQL Graphs and Block Referencing , Basem Ibrahim Elazzabi (Dissertation)
Automated Test Generation for Validating SystemC Designs , Bin Lin (Dissertation)
Forecasting Optimal Parameters of the Broken Wing Butterfly Option Strategy Using Differential Evolution , David Munoz Constantine (Thesis)
Situate: An Agent-Based System for Situation Recognition , Max Henry Quinn (Dissertation)
Theses/Dissertations from 2020 2020
Multiple Diagram Navigation , Hisham Benotman (Dissertation)
Smart Contract Vulnerabilities on the Ethereum Blockchain: a Current Perspective , Daniel Steven Connelly (Thesis)
Extensible Performance-Aware Runtime Integrity Measurement , Brian G. Delgado (Dissertation)
Novel View Synthesis - a Neural Network Approach , Hoang Le (Dissertation)
Exploring the Potential of Sparse Coding for Machine Learning , Sheng Yang Lundquist (Dissertation)
Workflow Critical Path: a Data-Oriented Path Metric for Holistic HPC Workflows , Daniel D. Nguyen (Thesis)
Novel View Synthesis in Time and Space , Simon Niklaus (Dissertation)
Balancing Security, Performance and Deployability in Encrypted Search , David Joel Pouliot (Dissertation)
Theses/Dissertations from 2019 2019
A Secure Anti-Counterfeiting System using Near Field Communication, Public Key Cryptography, Blockchain, and Bayesian Games , Naif Saeed Alzahrani (Dissertation)
Spectral Clustering for Electrical Phase Identification Using Advanced Metering Infrastructure Voltage Time Series , Logan Blakely (Thesis)
Local Radiance , Scott Peter Britell (Dissertation)
Correct-by-Construction Typechecking with Scope Graphs , Katherine Imhoff Casamento (Thesis)
Versatile Binary-level Concolic Testing , Bo Chen (Dissertation)
Crumpled and Abraded Encryption: Implementation and Provably Secure Construction , Scott Sherlock Griffy (Thesis)
Knowing Without Knowing: Real-Time Usage Identification of Computer Systems , Leila Mohammed Hawana (Thesis)
Design and Experimental Evaluation of DeepMarket: an Edge Computing Marketplace with Distributed TensorFlow Execution Capability , Soyoung Kim (Thesis)
Localizing Little Landmarks with Transfer Learning , Sharad Kumar (Thesis)
Context-Aware Wi-Fi Infrastructure-based Indoor Positioning Systems , Huy Phuong Tran (Dissertation)
Theses/Dissertations from 2018 2018
Bounding Box Improvement with Reinforcement Learning , Andrew Lewis Cleland (Thesis)
Sensing Building Structure Using UWB Radios for Disaster Recovery , Jeong Eun Lee (Dissertation)
Annotation-Enabled Interpretation and Analysis of Time-Series Data , Niveditha Venugopal (Thesis)
EPA-RIMM-V: Efficient Rootkit Detection for Virtualized Environments , Tejaswini Ajay Vibhute (Thesis)
Theses/Dissertations from 2017 2017
Improved Scoring Models for Semantic Image Retrieval Using Scene Graphs , Erik Timothy Conser (Thesis)
Refining Bounding-Box Regression for Object Localization , Naomi Lynn Dickerson (Thesis)
Fully Generic Programming Over Closed Universes of Inductive-Recursive Types , Larry Diehl (Dissertation)
Communicating at Terahertz Frequencies , Farnoosh Moshirfatemi (Dissertation)
Designing In-Headset Authoring Tools for Virtual Reality Video , Cuong Nguyen (Dissertation)
Certifying Loop Pipelining Transformations in Behavioral Synthesis , Disha Puri (Dissertation)
Power-Aware Datacenter Networking and Optimization , Qing Yi (Dissertation)
Theses/Dissertations from 2016 2016
Identifying Relationships between Scientific Datasets , Abdussalam Alawini (Dissertation)
Information Representation and Computation of Spike Trains in Reservoir Computing Systems with Spiking Neurons and Analog Neurons , Amin Almassian (Thesis)
Investigations of an "Objectness" Measure for Object Localization , Lewis Richard James Coates (Thesis)
Image Stitching: Handling Parallax, Stereopsis, and Video , Fan Zhang (Dissertation)
Theses/Dissertations from 2015 2015
Novel Methods for Learning and Adaptation in Chemical Reaction Networks , Peter Banda (Dissertation)
Post-silicon Functional Validation with Virtual Prototypes , Kai Cong (Dissertation)
Novel Cryptographic Primitives and Protocols for Censorship Resistance , Kevin Patrick Dyer (Dissertation)
Hardware/Software Interface Assurance with Conformance Checking , Li Lei (Dissertation)
Leveraging Contextual Relationships Between Objects for Localization , Clinton Leif Olson (Thesis)
The Performance of Random Prototypes in Hierarchical Models of Vision , Kendall Lee Stewart (Thesis)
Tweakable Ciphers: Constructions and Applications , Robert Seth Terashima (Dissertation)
Scalable Equivalence Checking for Behavioral Synthesis , Zhenkun Yang (Dissertation)
Theses/Dissertations from 2014 2014
The Nax Language: Unifying Functional Programming and Logical Reasoning in a Language based on Mendler-style Recursion Schemes and Term-indexed Types , Ki Yung Ahn (Dissertation)
Using Spammers' Computing Resources for Volunteer Computing , Thai Le Quy Bui (Thesis)
Towards Constructing Interactive Virtual Worlds , Francis Chang (Dissertation)
System-wide Performance Analysis for Virtualization , Deron Eugene Jensen (Thesis)
Advances in Piecewise Smooth Image Reconstruction , Ralf Juengling (Dissertation)
Interpretable Machine Learning and Sparse Coding for Computer Vision , Will Landecker (Dissertation)
Optimizing Data Movement in Hybrid Analytic Systems , Patrick Michael Leyshock (Dissertation)
Ranked Similarity Search of Scientific Datasets: An Information Retrieval Approach , Veronika Margaret Megler (Dissertation)
Using GIST Features to Constrain Search in Object Detection , Joanna Browne Solmon (Thesis)
The Role of Prototype Learning in Hierarchical Models of Vision , Michael David Thomure (Dissertation)
Theses/Dissertations from 2013 2013
Object Detection and Recognition in Natural Settings , George William Dittmar (Thesis)
Trust-but-Verify: Guaranteeing the Integrity of User-generated Content in Online Applications , Akshay Dua (Dissertation)
Equivalence Checking for High-Assurance Behavioral Synthesis , Kecheng Hao (Dissertation)
Type Classes and Instance Chains: A Relational Approach , John Garrett Morris (Dissertation)
Theses/Dissertations from 2012 2012
Using Dataflow Optimization Techniques with a Monadic Intermediate Language , Justin George Bailey (Thesis)
A Survey and Analysis of Solutions to the Oblivious Memory Access Problem , Erin Elizabeth Chapman (Thesis)
A Data-Descriptive Feedback Framework for Data Stream Management Systems , Rafael J. Fernández Moctezuma (Dissertation)
Extending Relativistic Programming to Multiple Writers , Philip William Howard (Dissertation)
The Basic Scheme for the Evaluation of Functional Logic Programs , Arthur Peters (Thesis)
The Link Between Image Segmentation and Image Recognition , Karan Sharma (Thesis)
Relativistic Causal Ordering A Memory Model for Scalable Concurrent Data Structures , Josh Triplett (Dissertation)
Theses/Dissertations from 2011 2011
Conceptual Modeling of Data with Provenance , David William Archer (Dissertation)
Low-latency Estimates for Window-Aggregate Queries over Data Streams , Amit Bhat (Thesis)
Information Processing in Two-Dimensional Cellular Automata , Martin Cenek (Dissertation)
Scalable and Efficient Tasking for Dynamic Sensor Networks , Thanh Xuan Dang (Dissertation)
On the Effect of Topology on Learning and Generalization in Random Automata Networks , Alireza Goudarzi (Thesis)
HOLCF '11: A Definitional Domain Theory for Verifying Functional Programs , Brian Charles Huffman (Dissertation)
A Functional Approach to Memory-Safe Operating Systems , Rebekah Leslie (Dissertation)
Factoring Semiprimes Using PG2N Prime Graph Multiagent Search , Keith Eirik Wilson (Thesis)
High Speed Wireless Networking for 60GHz , Candy Yiu (Dissertation)
Theses/Dissertations from 2010 2010
Extensible Scheduling in a Haskell-based Operating System , Kenneth William Graunke (Thesis)
Addressing Automated Adversaries of Network Applications , Edward Leo Kaiser (Dissertation)
An Automata-Theoretic Approach to Hardware/Software Co-verification , Juncao Li (Dissertation)
Practical Type Inference for the GADT Type System , Chuan-kai Lin (Dissertation)
Scalable event tracking on high-end parallel systems , Kathryn Marie Mohror (Dissertation)
Performance Analysis of Hybrid CPU/GPU Environments , Michael Shawn Smith (Thesis)
Theses/Dissertations from 2009 2009
Computational Techniques for Reducing Spectra of the Giant Planets in Our Solar System , Holly L. Grimes (Thesis)
Programmer Friendly Refactoring Tools , Emerson Murphy-Hill (Dissertation)
A Framework for Superimposed Applications : Techniques to Represent, Access, Transform, and Interchange Bi-level Information , Sudarshan Srivivasa Murthy (Dissertation)
Graphical User Interfaces as Updatable Views , James Felger Terwilliger (Dissertation)
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Home > Computer Science > CompSci TDs > Masters Theses
Computer Science Masters Theses
Theses from 2024 2024.
Enabling smart healthcare applications through visible light communication networks , Jack Manhardt
Time series anomaly detection using generative adversarial networks , Shyam Sundar Saravanan
Theses from 2023 2023
DYNAMIC DISCOUNTED SATISFICING BASED DRIVER DECISION PREDICTION IN SEQUENTIAL TAXI REQUESTS , Sree Pooja Akula
MAT: Genetic Algorithms Based Multi-Objective Adversarial Attack on Multi-Task Deep Neural Networks , Nikola Andric
COMPUTER VISION IN ADVERSE CONDITIONS: SMALL OBJECTS, LOW-RESOLUTION IMAGES, AND EDGE DEPLOYMENT , Raja Sunkara
Theses from 2022 2022
Maximising social welfare in selfish multi-modal routing using strategic information design for quantal response travelers , Sainath Sanga
Man-in-the-Middle Attacks on MQTT based IoT networks , Henry C. Wong
Theses from 2021 2021
Biochemical assay invariant attestation for the security of cyber-physical digital microfluidic biochips , Fredrick Eugene Love II
Theses from 2020 2020
On predicting stopping time of human sequential decision-making using discounted satisficing heuristic , Mounica Devaguptapu
Theses from 2019 2019
Advanced techniques for improving canonical genetic programming , Adam Tyler Harter
Evolved parameterized selection for evolutionary algorithms , Samuel Nathan Richter
Design and implementation of applications over delay tolerant networks for disaster and battlefield environment , Karthikeyan Sachidanandam
Theses from 2018 2018
Mixed-criticality real-time task scheduling with graceful degradation , Samsil Arefin
CARD: Concealed and remote discovery of IoT devices in victims' home networks , Sammie Lee Bush
Multiple security domain non deducibility in the FREEDM smart grid infrastructure , Manish Jaisinghani
Reputation and credit based incentive mechanism for data-centric message delivery in delay tolerant networks , Himanshu Jethawa
Solidification rate detection through solid-liquid interface tracking , Wei Luo
Cloud transactions and caching for improved performance in clouds and DTNs , Dileep Mardham
Cyber-physical security of an electric microgrid , Prashanth Palaniswamy
An approach for formal analysis of the security of a water treatment testbed , Sai Sidharth Patlolla
Analyzing large scale trajectory data to identify users with similar behavior , Tyler Clark Percy
Precise energy efficient scheduling of mixed-criticality tasks & sustainable mixed-criticality scheduling , Sai Sruti
A network tomography approach for traffic monitoring in smart cities , Ruoxi Zhang
Improved CRPD analysis and a secure scheduler against information leakage in real-time systems , Ying Zhang
Theses from 2017 2017
Cyber-physical security of a chemical plant , Prakash Rao Dunaka
UFace: Your universal password no one can see , Nicholas Steven Hilbert
Multi stage recovery from large scale failure in interdependent networks , Maria Angelin John Bosco
Multiple security domain model of a vehicle in an automated vehicle system , Uday Ganesh Kanteti
Personalizing education with algorithmic course selection , Tyler Morrow
Decodable network coding in wireless network , Junwei Su
Multiple security domain nondeducibility air traffic surveillance systems , Anusha Thudimilla
Theses from 2016 2016
Automated design of boolean satisfiability solvers employing evolutionary computation , Alex Raymond Bertels
Care-Chair: Opportunistic health assessment with smart sensing on chair backrest , Rakesh Kumar
Theses from 2015 2015
Dependability analysis and recovery support for smart grids , Isam Abdulmunem Alobaidi
Sensor authentication in collaborating sensor networks , Jake Uriah Bielefeldt
Argumentation based collaborative software architecture design and intelligent analysis of software architecture rationale , NagaPrashanth Chanda
A Gaussian mixture model for automated vesicle fusion detection and classification , Haohan Li
Hyper-heuristics for the automated design of black-box search algorithms , Matthew Allen Martin
Aerial vehicle trajectory design for spatio-temporal task satisfaction and aggregation based on utility metric , Amarender Reddy Mekala
Design and implementation of a broker for cloud additive manufacturing services , Venkata Prashant Modekurthy
Cyber security research frameworks for coevolutionary network defense , George Daniel Rush
Energy disaggregation in NIALM using hidden Markov models , Anusha Sankara
Theses from 2014 2014
Crime pattern detection using online social media , Raja Ashok Bolla
Energy efficient scheduling and allocation of tasks in sensor cloud , Rashmi Dalvi
A cloud brokerage architecture for efficient cloud service selection , Venkata Nagarjuna Dondapati
Access control delegation in the clouds , Pavani Gorantla
Evolving decision trees for the categorization of software , Jasenko Hosic
M-Grid : A distributed framework for multidimensional indexing and querying of location based big data , Shashank Kumar
Privacy preservation using spherical chord , Doyal Tapan Mukherjee
Top-K with diversity-M data retrieval in wireless sensor networks , Kiran Kumar Puram
On temporal and frequency responses of smartphone accelerometers for explosives detection , Srinivas Chakravarthi Thandu
Efficient data access in mobile cloud computing , Siva Naga Venkata Chaitanya Vemulapalli
An empirical study on symptoms of heavier internet usage among young adults , SaiPreethi Vishwanathan
Theses from 2013 2013
Sybil detection in vehicular networks , Muhammad Ibrahim Almutaz
Argumentation placement recommendation and relevancy assessment in an intelligent argumentation system , Nian Liu
Security analysis of a cyber physical system : a car example , Jason Madden
Efficient integrity verification of replicated data in cloud , Raghul Mukundan
Search-based model summarization , Lokesh Krishna Ravichandran
Hybridizing and applying computational intelligence techniques , Jeffery Scott Shelburg
Secure design defects detection and correction , Wenquan Wang
Theses from 2012 2012
Robust evolutionary algorithms , Brian Wesley Goldman
Semantic preserving text tepresentation and its applications in text clustering , Michael Howard
Vehicle path verification using wireless sensor networks , Gerry W. Howser
Distributed and collaborative watermarking in relational data , Prakash Kumar
Theses from 2011 2011
A social network of service providers for trust and identity management in the Cloud , Makarand Bhonsle
Adaptive rule-based malware detection employing learning classifier systems , Jonathan Joseph Blount
A low-cost motion tracking system for virtual reality applications , Abhinav Chadda
Optimization of textual affect entity relation models , Ajith Cherukad Jose
MELOC - memory and location optimized caching for mobile Ad hoc networks , Lekshmi Manian Chidambaram
A framework for transparent depression classification in college settings via mining internet usage patterns , Raghavendra Kotikalapudi
An incentive based approach to detect selfish nodes in Mobile P2P network , Hemanth Meka
Location privacy policy management system , Arej Awodha Muhammed
Exploring join caching in programming codes to reduce runtime execution , Swetha Surapaneni
Theses from 2010 2010
Event detection from click-through data via query clustering , Prabhu Kumar Angajala
Population control in evolutionary algorithms , Jason Edward Cook
Dynamic ant colony optimization for globally optimizing consumer preferences , Pavitra Dhruvanarayana
EtherAnnotate: a transparent malware analysis tool for integrating dynamic and static examination , Joshua Michael Eads
Representation and validation of domain and range restrictions in a relational database driven ontology maintenance system , Patrick Garrett. Edgett
Cloud security requirements analysis and security policy development using a high-order object-oriented modeling technique , Kenneth Kofi Fletcher
Multi axis slicing for rapid prototyping , Divya Kanakanala
Content based image retrieval for bio-medical images , Vikas Nahar
2-D path planning for direct laser deposition process , Swathi Routhu
Contribution-based priority assessment in a web-based intelligent argumentation network for collaborative software development , Maithili Satyavolu
An artificial life approach to evolutionary computation: from mobile cellular algorithms to artificial ecosystems , Shivakar Vulli
Intelligent computational argumentation for evaluating performance scores in multi-criteria decision making , Rubal Wanchoo
Minimize end-to-end delay through cross-layer optimization in multi-hop wireless sensor networks , Yibo Xu
Theses from 2009 2009
Information flow properties for cyber-physical systems , Rav Akella
Exploring the use of a commercial game engine for the development of educational software , Hussain Alafaireet
Automated offspring sizing in evolutionary algorithms , André Chidi Nwamba
Theses from 2008 2008
Image analysis techniques for vertebra anomaly detection in X-ray images , Mohammed Das
Cross-layer design through joint routing and link allocation in wireless sensor networks , Xuan Gong
A time series classifier , Christopher Mark Gore
An economic incentive based routing protocol incorporating quality of service for mobile peer-to-peer networks , Anil Jade
Incorporation of evidences in an intelligent argumentation network for collaborative engineering design , Ekta Khudkhudia
PrESerD - Privacy ensured service discovery in mobile peer-to-peer environment , Santhosh Muthyapu
Co-optimization: a generalization of coevolution , Travis Service
Critical infrastructure protection and the Domain Name Service (DNS) system , Mark Edward Snyder
Co-evolutionary automated software correction: a proof of concept , Joshua Lee Wilkerson
Theses from 2007 2007
A light-weight middleware framework for fault-tolerant and secure distributed applications , Ian Jacob Baird
Symbolic time series analysis using hidden Markov models , Nikhil Bhardwaj
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- Northeastern University
- Khoury College of Computer Science
- Computer and Information Science Theses and Dissertations
- Computer Science Master's Theses
Computer Science Master's Theses Collection
http://hdl.handle.net/2047/D20233315
aBBRate: automating BBR congestion control attack exploration using a model-based approach.
Analysis of named entity recognition & entity linking in historical text
Annotating decision analyses using semantic web technologies
Applying EM to compute document relevance from crowdsourced pair preferences
Applying unsupervised grammar induction to OCR error correction
Argument mining for understanding media bias and misinformation
ARID: affinity representing instance descriptors.
Automated explanation of research informed consent by embodied conversational agents
Automated indexing of stories for conversational health intervention
Bias measurement in small datasets
Home > ENG > ENG_PROGRAMS > CSE > CSE_ETDS
Theses and Dissertations
Theses/dissertations from 2024 2024.
An Attention LSTM U-Net Model for Drosophila Melanogaster Heart Tube Segmentation , Xiangping Ouyang
Mending Trust in AI: Trust Repair Policy Interventions for Large Language Models in Visual Data Journalism , Hangxiao Zhu
Theses/Dissertations from 2023 2023
Integrative analysis of cell-free DNA liquid biopsy data , Irfan Alahi
Deep Learning for Tomographic Image Reconstruction Guided by Generative Models and Image Science , Sayantan Bhadra
Interpretable deep learning via sparse representation for protein-DNA interactions , Shane Kuei-Hsien Chu
Feature-Oriented Hardware Design , Justin Deters
Decentralized Computing for Reliable Home Automation , Rahav Dor
Injective Mapping under Constraints , Xingyi Du
Consequences and Incentives of Fair Learning , Andrew Estornell
Learning in Large Interactive Environments , Hai S. Le
TFA inference: Using mathematical modeling of gene expression data to infer the activity of transcription factors , Cynthia Ma
Learning from User Interactions and Providing Guidance in Visual Data Analysis , Shayan Monadjemi
Translating Deep Learning into Scientific Domains: Case Studies in Bioactivation, Quantum Chemistry, and Clinical Studies , Kathryn Sarullo
An Efficient Task-Parallel Platform for Interactive Applications , Kyle Singer
Models and Algorithms for Real-Time Systems , Abhishek Singh
Understanding Societal Values of ChatGPT , Yidan Tang
Throughput Optimizations for Irregular Dataflow Streaming Applications on Wide-SIMD Architectures , Stephen William Timcheck
Adversarial Patch Attacks on Deep Reinforcement Learning Algorithms , Peizhen Tong
Honesty Is Not Always the Best Policy: Defending Against Membership Inference Attacks on Genomic Data , Rajagopal Venkatesaramani
Real-time Analysis of Aerosol Size Distributions with the Fast Integrated Mobility Spectrometer (FIMS) , Daisy Wang
Feature Selection from Clinical Surveys Using Semantic Textual Similarity , Benjamin Warner
An Assistive Interface For Displaying Novice's Code History , Ruiwei Xiao
Model-based Deep Learning for Computational Imaging , Xiaojian Xu
Securing Autonomous Driving: Addressing Adversarial Attacks and Defenses , Jinghan Yang
Evaluating the Problem Solving Abilities of ChatGPT , Fankun Zeng
PathFormer: Interpretable and Powerful Graph Transformer for Gene Network Analysis , Qihang Zhao, Zehao Dong, Muhan Zhang, Philip Payne, Michael Province, Carlos Cruchaga, Tianyu Zhao, Yixin Chen, and Fuhai Li
Theses/Dissertations from 2022 2022
Tell It Slant: Investigating the Engagement, Discourse, and Popularity of Data Visualization in Online Communities , Emma Baker
A Reconfigurable FPGA Overlay Architecture for Matrix-Matrix Multiplication , Zihao Chen
Smart Sensing and Clinical Predictions with Wearables: From Physiological Signals to Mental Health , Ruixuan Dai
Dynamic Continuous Distributed Constraint Optimization Problems , Khoi Hoang
The Effects of Host-like Environmental Signals and Gene Expression on Capsule Growth in Cryptococcus neoformans , Yu Min Jung
Application of Crowdsourcing and Machine Learning to Predict Sentiments in Textual Student Feedback in Large Computer Science Classes , Robert Kasumba
Measuring the Effectiveness of Light Concentration with the Catoptric Surface , Samatha Kodali
Applying HLS to FPGA Data Preprocessing in the Advanced Particle-astrophysics Telescope , Meagan Konst
Application of Neural Networks to Predict Patient-Specific Cellular Parameters in Computational Cardiac Models , Chang Hi Lee
Scalable Software Infrastructure for the Lab and a Specific Investigation of the Yeast Transcription Factor Eds1 , Chase Mateusiak
Design & Analysis of Mixed-mode Integrated Circuit for Pulse-shape Discrimination , Bryan Orabutt
Modeling Metastasis in Breast Cancer Patients Using EHR Data, the Area Deprivation Index (ADI), and Machine Learning Models , Vishesh Patel
Speeding up the quantification of Contrast Sensitivity functions using Multidimensional Bayesian Active Learning , Shohaib Shaffiey
Integrating Physical Models and Deep Priors for Computational Imaging , Yu Sun
Human-Centered Machine Learning: Algorithm Design and Human Behavior , Wei Tang
Scheduling for High Throughput and Small Latency in Parallel and Distributed Systems , Zhe Wang
Design and Analysis of Strategic Behavior in Networks , Sixie Yu
Geometric Algorithms for Modeling Plant Roots from Images , Dan Zeng
Theses/Dissertations from 2021 2021
Using Computer Vision to Track Anatomical Structures During Cochlear Implant Surgery , Nicholas Bach
Bayesian Quadrature with Prior Information: Modeling and Policies , Henry Chai
Machine Learning in Complex Scientific Domains: Hospitalization Records, Drug Interactions, Predictive Modeling and Fairness for Class Imbalanced Data , Arghya Datta
Improving additional adversarial robustness for classification , Michael Guo
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The M.S. Thesis Track
The MS Thesis track is for students who want to concentrate on research in some sub-field of Computer Science. You are required to arrange for a Computer Science Faculty member who agrees to advise the thesis and the rest of your course selection prior to selecting the track.
SUMMARY OF REQUIREMENTS
- Complete a total of 30 points (Courses must be at the 4000 level or above)
- Maintain at least a 2.7 overall GPA. (No more than 1 D is permitted).
- Complete the Columbia Engineering Professional Development & Leadership (PDL) requirement
- Satisfy breadth requirements
- Take at least 6 points of technical courses at the 6000 level
- At most, up to 3 points of your degree can be Non-CS/Non-track If they are deemed relevant to your track and sufficiently technical in nature. Submit the Non-CS/NonTrack form and the course syllabus to your CS Faculty Advisor for review
1. BREADTH REQUIREMENT
Visit the breadth requirement page for more information.
2. REQUIRED TRACK COURSES (9 credits)
Students must take 9 credits of COMS E6902 Thesis. The points are typically spread over multiple semesters, e.g., 3 points each for 3 semesters or 4.5 points each for 2 semesters. No more than 9 points of E6902 may be taken. Sign up for the section number of E6902 associated with your thesis advisor.
3. ELECTIVE TRACK COURSES
Students are required to complete 9 elective credits of graduate courses (4000-level or above) selected from Computer Science and/or related areas together with your faculty thesis advisor. These would normally be strongly related to your thesis topic.
Up to 3 of these points may be in COMS E6901 Projects in Computer Science.
Please note:
The degree progress checklist should be used to keep track of your requirements. if you have questions for your track advisor or cs advising, you should have an updated checklist prepared, due to a significant overlap in course material, ms students not in the machine learning track can only take 1 of the following courses – coms 4771, coms 4721, elen 4903, ieor 4525, stat 4240, stat 4400/4241/5241 – as part of their degree requirements, the elective track courses cannot be imported from another institution., 4. general electives.
Students must complete the remaining credits of General Elective Courses at the 4000 level or above. At least three of these points must be chosen from either the Track Electives listed above or from the CS department at the 4000 level or higher.
Students may also request to use at most 3 points of Non-CS/Non-Track coursework if approved by the process listed below.
5. THESIS DEFENSE
A thesis proposal is presented to your thesis committee at least three months before your defense. Your thesis committee should have three members. Two of them must be internal, but one can be an outsider. Please bring the thesis defense form to your defense. Once completed, please submit the form to CS Advising via email: [email protected].
The thesis cannot be imported from another institution.
A publication-quality thesis document is also published as a CS department technical report. Once completed, please upload your thesis into MICE.
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Please visit the Directory of Classes to get the updated course listings. Please also note that not all courses are offered every semester or even every year. A few courses are offered only once every two or three years or even less frequently.
Updated: 3/26/2024
Find open faculty positions here .
Computer Science at Columbia University
Upcoming events, in the news, press mentions, dean boyce's statement on amicus brief filed by president bollinger.
President Bollinger announced that Columbia University along with many other academic institutions (sixteen, including all Ivy League universities) filed an amicus brief in the U.S. District Court for the Eastern District of New York challenging the Executive Order regarding immigrants from seven designated countries and refugees. Among other things, the brief asserts that “safety and security concerns can be addressed in a manner that is consistent with the values America has always stood for, including the free flow of ideas and people across borders and the welcoming of immigrants to our universities.”
This recent action provides a moment for us to collectively reflect on our community within Columbia Engineering and the importance of our commitment to maintaining an open and welcoming community for all students, faculty, researchers and administrative staff. As a School of Engineering and Applied Science, we are fortunate to attract students and faculty from diverse backgrounds, from across the country, and from around the world. It is a great benefit to be able to gather engineers and scientists of so many different perspectives and talents – all with a commitment to learning, a focus on pushing the frontiers of knowledge and discovery, and with a passion for translating our work to impact humanity.
I am proud of our community, and wish to take this opportunity to reinforce our collective commitment to maintaining an open and collegial environment. We are fortunate to have the privilege to learn from one another, and to study, work, and live together in such a dynamic and vibrant place as Columbia.
Mary C. Boyce Dean of Engineering Morris A. and Alma Schapiro Professor
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Home > Engineering > Computer Science > Computer Science Graduate Projects
Computer Science Graduate Projects and Theses
Theses/dissertations from 2023 2023.
High-Performance Domain-Specific Library for Hydrologic Data Processing , Kalyan Bhetwal
Verifying Data Provenance During Workflow Execution for Scientific Reproducibility , Rizbanul Hasan
Remote Sensing to Advance Understanding of Snow-Vegetation Relationships and Quantify Snow Depth and Snow Water Equivalent , Ahmad Hojatimalekshah
Exploring the Capability of a Self-Supervised Conditional Image Generator for Image-to-Image Translation without Labeled Data: A Case Study in Mobile User Interface Design , Hailee Kiesecker
Fake News Detection Using Narrative Content and Discourse , Hongmin Kim
Anomaly Detection Using Graph Neural Network , Bishal Lakha
Sparse Format Conversion and Code Synthesis , Tobi Goodness Popoola
Portable Sparse Polyhedral Framework Code Generation Using Multi Level Intermediate Representation , Aaron St. George
Severity Measures for Assessing Error in Automatic Speech Recognition , Ryan Whetten
Theses/Dissertations from 2022 2022
Improved Computational Prediction of Function and Structural Representation of Self-Cleaving Ribozymes with Enhanced Parameter Selection and Library Design , James D. Beck
Meshfree Methods for PDEs on Surfaces , Andrew Michael Jones
Deep Learning of Microstructures , Amir Abbas Kazemzadeh Farizhandi
Long-Term Trends in Extreme Environmental Events with Changepoint Detection , Mintaek Lee
Structure Aware Smart Encoding and Decoding of Information in DNA , Shoshanna Llewellyn
Towards Making Transformer-Based Language Models Learn How Children Learn , Yousra Mahdy
Ontology-Based Formal Approach for Safety and Security Verification of Industrial Control Systems , Ramesh Neupane
Improving Children's Authentication Practices with Respect to Graphical Authentication Mechanism , Dhanush Kumar Ratakonda
Hate Speech Detection Using Textual and User Features , Rohan Raut
Automated Detection of Sockpuppet Accounts in Wikipedia , Mostofa Najmus Sakib
Characterization and Mitigation of False Information on the Web , Anu Shrestha
Sinusoidal Projection for 360° Image Compression and Triangular Discrete Cosine Transform Impact in the JPEG Pipeline , Iker Vazquez Lopez
Theses/Dissertations from 2021 2021
Training Wheels for Web Search: Multi-Perspective Learning to Rank to Support Children's Information Seeking in the Classroom , Garrett Allen
Fair and Efficient Consensus Protocols for Secure Blockchain Applications , Golam Dastoger Bashar
Why Don't You Act Your Age?: Recognizing the Stereotypical 8-12 Year Old Searcher by Their Search Behavior , Michael Green
Ensuring Consistency and Efficiency of the Incremental Unit Network in a Distributed Architecture , Mir Tahsin Imtiaz
Modeling Real and Fake News Sharing in Social Networks , Abishai Joy
Modeling and Analyzing Users' Privacy Disclosure Behavior to Generate Personalized Privacy Policies , A.K.M. Nuhil Mehdy
Into the Unknown: Exploration of Search Engines' Responses to Users with Depression and Anxiety , Ashlee Milton
Generating Test Inputs from String Constraints with an Automata-Based Solver , Marlin Roberts
A Case Study in Representing Scientific Applications ( GeoAc ) Using the Sparse Polyhedral Framework , Ravi Shankar
Actors for the Internet of Things , Arjun Shukla
Theses/Dissertations from 2020 2020
Towards Unifying Grounded and Distributional Semantics Using the Words-as-Classifiers Model of Lexical Semantics , Stacy Black
Improving Scientist Productivity, Architecture Portability, and Performance in ParFlow , Michael Burke
Polyhedral+Dataflow Graphs , Eddie C. Davis
Improving Spellchecking for Children: Correction and Design , Brody Downs
A Collection of Fast Algorithms for Scalar and Vector-Valued Data on Irregular Domains: Spherical Harmonic Analysis, Divergence-Free/Curl-Free Radial Basis Functions, and Implicit Surface Reconstruction , Kathryn Primrose Drake
Privacy-Preserving Protocol for Atomic Swap Between Blockchains , Kiran Gurung
Unsupervised Structural Graph Node Representation Learning , Mikel Joaristi
Detecting Undisclosed Paid Editing in Wikipedia , Nikesh Joshi
Do You Feel Me?: Learning Language from Humans with Robot Emotional Displays , David McNeill
Obtaining Real-World Benchmark Programs from Open-Source Repositories Through Abstract-Semantics Preserving Transformations , Maria Anne Rachel Paquin
Content Based Image Retrieval (CBIR) for Brand Logos , Enjal Parajuli
A Resilience Metric for Modern Power Distribution Systems , Tyler Bennett Phillips
Theses/Dissertations from 2019 2019
Edge-Assisted Workload-Aware Image Processing System , Anil Acharya
MINOS: Unsupervised Netflow-Based Detection of Infected and Attacked Hosts, and Attack Time in Large Networks , Mousume Bhowmick
Deviant: A Mutation Testing Tool for Solidity Smart Contracts , Patrick Chapman
Querying Over Encrypted Databases in a Cloud Environment , Jake Douglas
A Hybrid Model to Detect Fake News , Indhumathi Gurunathan
Suitability of Finite State Automata to Model String Constraints in Probablistic Symbolic Execution , Andrew Harris
UNICORN Framework: A User-Centric Approach Toward Formal Verification of Privacy Norms , Rezvan Joshaghani
Detection and Countermeasure of Saturation Attacks in Software-Defined Networks , Samer Yousef Khamaiseh
Secure Two-Party Protocol for Privacy-Preserving Classification via Differential Privacy , Manish Kumar
Application-Specific Memory Subsystem Benchmarking , Mahesh Lakshminarasimhan
Multilingual Information Retrieval: A Representation Building Perspective , Ion Madrazo
Improved Study of Side-Channel Attacks Using Recurrent Neural Networks , Muhammad Abu Naser Rony Chowdhury
Investigating the Effects of Social and Temporal Dynamics in Fitness Games on Children's Physical Activity , Ankita Samariya
BullyNet: Unmasking Cyberbullies on Social Networks , Aparna Sankaran
FALCON: Framework for Anomaly Detection In Industrial Control Systems , Subin Sapkota
Investigating Semantic Properties of Images Generated from Natural Language Using Neural Networks , Samuel Ward Schrader
Incremental Processing for Improving Conversational Grounding in a Chatbot , Aprajita Shukla
Estimating Error and Bias of Offline Recommender System Evaluation Results , Mucun Tian
Theses/Dissertations from 2018 2018
Leveraging Tiled Display for Big Data Visualization Using D3.js , Ujjwal Acharya
Fostering the Retrieval of Suitable Web Resources in Response to Children's Educational Search Tasks , Oghenemaro Deborah Anuyah
Privacy-Preserving Genomic Data Publishing via Differential Privacy , Tanya Khatri
Injecting Control Commands Through Sensory Channel: Attack and Defense , Farhad Rasapour
Strong Mutation-Based Test Generation of XACML Policies , Roshan Shrestha
Performance, Scalability, and Robustness in Distributed File Tree Copy , Christopher Robert Sutton
Using DNA For Data Storage: Encoding and Decoding Algorithm Development , Kelsey Suyehira
Detecting Saliency by Combining Speech and Object Detection in Indoor Environments , Kiran Thapa
Theses/Dissertations from 2017 2017
Identifying Restaurants Proposing Novel Kinds of Cuisines: Using Yelp Reviews , Haritha Akella
Editing Behavior Analysis and Prediction of Active/Inactive Users in Wikipedia , Harish Arelli
CloudSkulk: Design of a Nested Virtual Machine Based Rootkit-in-the-Middle Attack , Joseph Anthony Connelly
Predicting Friendship Strength in Facebook , Nitish Dhakal
Privacy-Preserving Trajectory Data Publishing via Differential Privacy , Ishita Dwivedi
Cultivating Community Interactions in Citizen Science: Connecting People to Each Other and the Environment , Bret Allen Finley
Uncovering New Links Through Interaction Duration , Laxmi Amulya Gundala
Variance: Secure Two-Party Protocol for Solving Yao's Millionaires' Problem in Bitcoin , Joshua Holmes
A Scalable Graph-Coarsening Based Index for Dynamic Graph Databases , Akshay Kansal
Integrity Coded Databases: Ensuring Correctness and Freshness of Outsourced Databases , Ujwal Karki
Editable View Optimized Tone Mapping For Viewing High Dynamic Range Panoramas On Head Mounted Display , Yuan Li
The Effects of Pair-Programming in a High School Introductory Computer Science Class , Ken Manship
Towards Automatic Repair of XACML Policies , Shuai Peng
Identification of Unknown Landscape Types Using CNN Transfer Learning , Ashish Sharma
Hand Gesture Recognition for Sign Language Transcription , Iker Vazquez Lopez
Learning to Code Music : Development of a Supplemental Unit for High School Computer Science , Kelsey Wright
Theses/Dissertations from 2016 2016
Identification of Small Endogenous Viral Elements within Host Genomes , Edward C. Davis Jr.
When the System Becomes Your Personal Docent: Curated Book Recommendations , Nevena Dragovic
Security Testing with Misuse Case Modeling , Samer Yousef Khamaiseh
Estimating Length Statistics of Aggregate Fried Potato Product via Electromagnetic Radiation Attenuation , Jesse Lovitt
Towards Multipurpose Readability Assessment , Ion Madrazo
Evaluation of Topic Models for Content-Based Popularity Prediction on Social Microblogs , Axel Magnuson
CEST: City Event Summarization using Twitter , Deepa Mallela
Developing an ABAC-Based Grant Proposal Workflow Management System , Milson Munakami
Phoenix and Hive as Alternatives to RDBMS , Diana Ornelas
Massively Parallel Algorithm for Solving the Eikonal Equation on Multiple Accelerator Platforms , Anup Shrestha
A Certificateless One-Way Group Key Agreement Protocol for Point-to-Point Email Encryption , Srisarguru Sridhar
Dynamic Machine Level Resource Allocation to Improve Tasking Performance Across Multiple Processes , Richard Walter Thatcher
Theses/Dissertations from 2015 2015
Developing an Application for Evolutionary Search for Computational Models of Cellular Development , Nicolas Scott Cornia
Accelerated Radar Signal Processing in Large Geophysical Datasets , Ravi Preesha Geetha
Integrity Coded Databases (ICDB) – Protecting Integrity for Outsourced Databases , Archana Nanjundarao
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Home > FACULTIES > Computer Science > CSD-ETD
Computer Science Theses and Dissertations
This collection contains theses and dissertations from the Department of Computer Science, collected from the Scholarship@Western Electronic Thesis and Dissertation Repository
Theses/Dissertations from 2024 2024
A Target-Based and A Targetless Extrinsic Calibration Methods for Thermal Camera and 3D LiDAR , Farhad Dalirani
Investigating Tree- and Graph-based Neural Networks for Natural Language Processing Applications , Sudipta Singha Roy
Theses/Dissertations from 2023 2023
Classification of DDoS Attack with Machine Learning Architectures and Exploratory Analysis , Amreen Anbar
Multi-view Contrastive Learning for Unsupervised Domain Adaptation in Brain-Computer Interfaces , Sepehr Asgarian
Improved Protein Sequence Alignments Using Deep Learning , Seyed Sepehr Ashrafzadeh
INVESTIGATING IMPROVEMENTS TO MESH INDEXING , Anurag Bhattacharjee
Algorithms and Software for Oligonucleotide Design , Qin Dong
Framework for Assessing Information System Security Posture Risks , Syed Waqas Hamdani
De novo sequencing of multiple tandem mass spectra of peptide containing SILAC labeling , Fang Han
Local Model Agnostic XAI Methodologies Applied to Breast Cancer Malignancy Predictions , Heather Hartley
A Quantitative Analysis Between Software Quality Posture and Bug-fixing Commit , Rongji He
A Novel Method for Assessment of Batch Effect on single cell RNA sequencing data , Behnam Jabbarizadeh
Dynamically Finding Optimal Kernel Launch Parameters for CUDA Programs , Taabish Jeshani
Citation Polarity Identification From Scientific Articles Using Deep Learning Methods , Souvik Kundu
Denoising-Based Domain Adaptation Network for EEG Source Imaging , Runze Li
Decoy-Target Database Strategy and False Discovery Rate Analysis for Glycan Identification , Xiaoou Li
DpNovo: A DEEP LEARNING MODEL COMBINED WITH DYNAMIC PROGRAMMING FOR DE NOVO PEPTIDE SEQUENCING , Yizhou Li
Developing A Smart Home Surveillance System Using Autonomous Drones , Chongju Mai
Look-Ahead Selective Plasticity for Continual Learning , Rouzbeh Meshkinnejad
The Two Visual Processing Streams Through The Lens Of Deep Neural Networks , Aidasadat Mirebrahimi Tafreshi
Source-free Domain Adaptation for Sleep Stage Classification , Yasmin Niknam
Data Heterogeneity and Its Implications for Fairness , Ghazaleh Noroozi
Enhancing Urban Life: A Policy-Based Autonomic Smart City Management System for Efficient, Sustainable, and Self-Adaptive Urban Environments , Elham Okhovat
Evaluating the Likelihood of Bug Inducing Commits Using Metrics Trend Analysis , Parul Parul
On Computing Optimal Repairs for Conditional Independence , Alireza Pirhadi
Open-Set Source-Free Domain Adaptation in Fundus Images Analysis , Masoud Pourreza
Migration in Edge Computing , Arshin Rezazadeh
A Modified Hopfield Network for the K-Median Problem , Cody Rossiter
Predicting Network Failures with AI Techniques , Chandrika Saha
Toward Building an Intelligent and Secure Network: An Internet Traffic Forecasting Perspective , Sajal Saha
An Exploration of Visual Analytic Techniques for XAI: Applications in Clinical Decision Support , Mozhgan Salimiparsa
Attention-based Multi-Source-Free Domain Adaptation for EEG Emotion Recognition , Amir Hesam Salimnia
Global Cyber Attack Forecast using AI Techniques , Nusrat Kabir Samia
IMPLEMENTATION OF A PRE-ASSESSMENT MODULE TO IMPROVE THE INITIAL PLAYER EXPERIENCE USING PREVIOUS GAMING INFORMATION , Rafael David Segistan Canizales
A Computational Framework For Identifying Relevant Cell Types And Specific Regulatory Mechanisms In Schizophrenia Using Data Integration Methods , Kayvan Shabani
Weakly-Supervised Anomaly Detection in Surveillance Videos Based on Two-Stream I3D Convolution Network , Sareh Soltani Nejad
Smartphone Loss Prevention System Using BLE and GPS Technology , Noshin Tasnim
A Hybrid Continual Machine Learning Model for Efficient Hierarchical Classification of Domain-Specific Text in The Presence of Class Overlap (Case Study: IT Support Tickets) , Yasmen M. Wahba
Reducing Negative Transfer of Random Data in Source-Free Unsupervised Domain Adaptation , Anthony Wong
Deep Neural Methods for True/Pseudo- Invasion Classification in Colorectal Polyp Whole-Slide Images , Zhiyuan Yang
Developing a Relay-based Autonomous Drone Delivery System , Muhammad Zakar
Learning Mortality Risk for COVID-19 Using Machine Learning and Statistical Methods , Shaoshi Zhang
Machine Learning Techniques for Improved Functional Brain Parcellation , Da Zhi
Theses/Dissertations from 2022 2022
The Design and Implementation of a High-Performance Polynomial System Solver , Alexander Brandt
Defining Service Level Agreements in Serverless Computing , Mohamed Elsakhawy
Algorithms for Regular Chains of Dimension One , Juan P. Gonzalez Trochez
Towards a Novel and Intelligent e-commerce Framework for Smart-Shopping Applications , Susmitha Hanumanthu
Multi-Device Data Analysis for Fault Localization in Electrical Distribution Grids , Jacob D L Hunte
Towards Parking Lot Occupancy Assessment Using Aerial Imagery and Computer Vision , John Jewell
Potential of Vision Transformers for Advanced Driver-Assistance Systems: An Evaluative Approach , Andrew Katoch
Psychological Understanding of Textual journals using Natural Language Processing approaches , Amirmohammad Kazemeinizadeh
Driver Behavior Analysis Based on Real On-Road Driving Data in the Design of Advanced Driving Assistance Systems , Nima Khairdoost
Solving Challenges in Deep Unsupervised Methods for Anomaly Detection , Vahid Reza Khazaie
Developing an Efficient Real-Time Terrestrial Infrastructure Inspection System Using Autonomous Drones and Deep Learning , Marlin Manka
Predictive Modelling For Topic Handling Of Natural Language Dialogue With Virtual Agents , Lareina Milambiling
Improving Deep Entity Resolution by Constraints , Soudeh Nilforoushan
Respiratory Pattern Analysis for COVID-19 Digital Screening Using AI Techniques , Annita Tahsin Priyoti
Extracting Microservice Dependencies Using Log Analysis , Andres O. Rodriguez Ishida
False Discovery Rate Analysis for Glycopeptide Identification , Shun Saito
Towards a Generalization of Fulton's Intersection Multiplicity Algorithm , Ryan Sandford
An Investigation Into Time Gazed At Traffic Objects By Drivers , Kolby R. Sarson
Exploring Artificial Intelligence (AI) Techniques for Forecasting Network Traffic: Network QoS and Security Perspectives , Ibrahim Mohammed Sayem
A Unified Representation and Deep Learning Architecture for Persuasive Essays in English , Muhammad Tawsif Sazid
Towards the development of a cost-effective Image-Sensing-Smart-Parking Systems (ISenSmaP) , Aakriti Sharma
Advances in the Automatic Detection of Optimization Opportunities in Computer Programs , Delaram Talaashrafi
Reputation-Based Trust Assessment of Transacting Service Components , Konstantinos Tsiounis
Fully Autonomous UAV Exploration in Confined and Connectionless Environments , Kirk P. Vander Ploeg
Three Contributions to the Theory and Practice of Optimizing Compilers , Linxiao Wang
Developing Intelligent Routing Algorithm over SDN: Reusable Reinforcement Learning Approach , Wumian Wang
Predicting and Modifying Memorability of Images , Mohammad Younesi
Theses/Dissertations from 2021 2021
Generating Effective Sentence Representations: Deep Learning and Reinforcement Learning Approaches , Mahtab Ahmed
A Physical Layer Framework for a Smart City Using Accumulative Bayesian Machine Learning , Razan E. AlFar
Load Balancing and Resource Allocation in Smart Cities using Reinforcement Learning , Aseel AlOrbani
Contrastive Learning of Auditory Representations , Haider Al-Tahan
Cache-Friendly, Modular and Parallel Schemes For Computing Subresultant Chains , Mohammadali Asadi
Protein Interaction Sites Prediction using Deep Learning , Sourajit Basak
Predicting Stock Market Sector Sentiment Through News Article Based Textual Analysis , William A. Beldman
Improving Reader Motivation with Machine Learning , Tanner A. Bohn
A Black-box Approach for Containerized Microservice Monitoring in Fog Computing , Shi Chang
Visualization and Interpretation of Protein Interactions , Dipanjan Chatterjee
A Framework for Characterising Performance in Multi-Class Classification Problems with Applications in Cancer Single Cell RNA Sequencing , Erik R. Christensen
Exploratory Search with Archetype-based Language Models , Brent D. Davis
Evolutionary Design of Search and Triage Interfaces for Large Document Sets , Jonathan A. Demelo
Building Effective Network Security Frameworks using Deep Transfer Learning Techniques , Harsh Dhillon
A Deep Topical N-gram Model and Topic Discovery on COVID-19 News and Research Manuscripts , Yuan Du
Automatic extraction of requirements-related information from regulatory documents cited in the project contract , Sara Fotouhi
Developing a Resource and Energy Efficient Real-time Delivery Scheduling Framework for a Network of Autonomous Drones , Gopi Gugan
A Visual Analytics System for Rapid Sensemaking of Scientific Documents , Amirreza Haghverdiloo Barzegar
Calibration Between Eye Tracker and Stereoscopic Vision System Employing a Linear Closed-Form Perspective-n-Point (PNP) Algorithm , Mohammad Karami
Fuzzy and Probabilistic Rule-Based Approaches to Identify Fault Prone Files , Piyush Kumar Korlepara
Parallel Arbitrary-precision Integer Arithmetic , Davood Mohajerani
A Technique for Evaluating the Health Status of a Software Module Using Process Metrics , . Ria
Visual Analytics for Performing Complex Tasks with Electronic Health Records , Neda Rostamzadeh
Predictive Model of Driver's Eye Fixation for Maneuver Prediction in the Design of Advanced Driving Assistance Systems , Mohsen Shirpour
A Generative-Discriminative Approach to Human Brain Mapping , Deepanshu Wadhwa
WesternAccelerator:Rapid Development of Microservices , Haoran Wei
A Lightweight and Explainable Citation Recommendation System , Juncheng Yin
Mitosis Detection from Pathology Images , Jinhang Zhang
Theses/Dissertations from 2020 2020
Visual Analytics of Electronic Health Records with a focus on Acute Kidney Injury , Sheikh S. Abdullah
Towards the Development of Network Service Cost Modeling-An ISP Perspective , Yasmeen Ali
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Here are 30 public repositories matching this topic..., vatshayan / final-year-project-cryptographic-technique-for-communication-system.
Top B.tech/M.tech Final Year Project "Design and Analysis of Cryptographic Technique for Communication System" with Project Code, Report, PPT, Synopsis, IEEE Research Paper and HD Video Explanation
- Updated Dec 22, 2022
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Vatshayan / Final-Year-Blockchain-Voting-System
Blockchain based electronic voting system with Code, PPT, synopsis, Report, Research papers and full video explanation. Blockchain Final Year Project
- Updated Jan 20, 2023
Vatshayan / Face-recognition-Attendance-System-Project
Final Year Btech Face recognition Attendance System Project with code and Documents. Video Implementation with explanation too. Base IEEE paper Implementation
- Updated Aug 12, 2022
Vatshayan / Final-Year-Machine-Learning-Stock-Price-Prediction-Project
Final Year B.tech Project on Machine Learning Stock Prediction through Deep Learning
- Updated Aug 30, 2022
Vatshayan / Malware-Detection-Using-Deep-Learning-Project
Malware-Detection-System-Using-Deep-Learning-Project. Project Includes PPT. Code, Explanation Video and Documents
Vatshayan / Final-year-Project-steganography
Steganography is the technique of hiding secret data within an ordinary, non-secret, file or message in order to avoid detection; the secret data is then extracted at its destination.
- Updated Aug 14, 2022
Vatshayan / Network-Intrusion-Detection-Project
Network Intrusion Detection System Project using Machine Learning with code and Documents
Projects-Developer / Drowsiness-Detector-College-Project
Drowsiness Detector using Python. College Project with all Documents
- Updated Jan 31, 2022
Vatshayan / Steganography-Website-Project
Final Year Steganography Project with Code and Project report
Vatshayan / Blockchain-and-Cryptography-Communication-System
Final Year Blockchain Project for Security of communication. [Security of Communication Increase through Use of Combination of Cryptography and Blockchain technology]
Vatshayan / Spam-Detection-Project
Spam Detection Project for college students with PPT, Report, Code, Datasets and Research papers
Vatshayan / Heart-disease-prediction-system-Project
Heart disease prediction system Project using Machine Learning with Code and Report
Vatshayan / Stock-Price-Prediction-Project
Final year College Project with Project Report, PPT, Synopsis and Code
Projects-Developer / Heart-Diseases-Prediction-Project
Final Year Project Heart Disease Prediction Project with all Documents.
- Updated Jan 12, 2022
Vatshayan / Disease-Prediction-Project-using-Machine-Learning-Project
Diseases Prediction System though Machine Learning with code and documents
- Updated Dec 29, 2022
Vatshayan / Co2-Emission-Prediction-Using-Machine-Learning
Final year Co2 Emission Prediction Using Machine Learning Project with source code and documents. Btech Final Year Project
- Updated Feb 2, 2023
Vatshayan / Image-Recognition-Project
Beautiful Image recognition and Classification Project for final year college students.
- Updated Aug 25, 2021
Projects-Developer / AI-Chatbot-Final-Year-Project
AI chatbot used to communication with End user through online on platforms such websites and application. Btech college project.
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Vatshayan / Decentrilized-Blockchain-Blog-System-Project
Decentrilized Blockchain Blog System Project with code and Documents
- Updated Apr 7, 2024
Vatshayan / Image-Chain-Blockchain-Project
Final Year ImageChain Blockchain Project is application of Blockchain. Project Include Code, Documents with Video Explanation
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Abstract: Gaze-following is an important ability that allows us to understand what people are doing, and what are their intentions. Current research on gaze following is focused on using a single image and restricts the task based on whether the target is in frame or out of frame. A survey of gaze-following datasets revealed defects in the way they collect gaze point labels. Previous datasets rely on annotator votes for determining the actual gaze target location leading to ambiguous ground truths. Also, no existing method investigates cases of occlusion, a common phenomenon in real-world scenarios. Occlusion implies that the gaze target is in frame, but is obstructed by another object making the target unidentifiable. However, current approaches fail to differentiate between visible and occlusion cases when the target is in frame which could lead to incorrect predictions. In this work, we have collected a new dataset, MultiViewGaze, with precise point target annotations in six views for four scenes, that simulate an office, a restaurant kitchen, a shop and a lounge area. We also extend the gaze labels beyond the traditional in-frame and out-of-frame by handling cases of occlusion. We further introduce fine-grained labels for three categories of occlusions - Self-Occlusion, Occlusion due to another object and Occlusion due to subject. While occlusion is common in everyday situations, prior approaches have not delved into this task. We modify two single-view approaches primarily used for gaze following - the VideoAttentionTarget model and the ChildPlay model and train them for the task of Occlusion Detection, achieving good baseline results. Overall, we believe that classifying cases of occlusion and detecting obstructed targets to improve Gaze Following methods is a challenging and important problem and is instrumental in effective scene understanding.
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- M.Tech Thesis In Computer Science
M.Tech Thesis In Computer Science gives a full fledged knowledge on all computer related concepts such as computer algorithm, communication via networking and all hardware and software components. Various issues on computer technology is solved through M.Tech computer projects any domain can be selected for doing project by M.Tech final year students. In their thesis a detailed analysis and definition of all mathematical algorithms, formulas and procedures can be mentioned thesis result is given by M.Tech students in the format of simulation. Some of the simulation tools that are needed are OPNET, OMNET++, NS2, NS3, and QUALNET, Cloud sim tool, weka and matlab.
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Possible M.Tech Thesis In Computer Science
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Computer biology:
Structure analysis, molecular dynamics gene networking and sequence analysis comes under computer biology. It analyzes and test, DNA, RNA and protein sequence. Many data mining applications are created for attaining useful information, features, patterns and structures from data base. In the process of computer biology classification many modes are used such as support vector machine, Bayesian network, clustering methods regression analysis, hidden markov model and sequence mining. DNA can recognize throw gene networking. M.Tech Thesis In Computer Science
Computer architecture:
A deep understanding of central processing units, peripheral and memory devices are needed for computer architecture thesis. It includes the knowledge of synchronous operation; hardware design of CPU, internal and external memory hardware component and arithmetic and logical operations with the help programming languages data storage and intercommunication is possible.
M.Tech Thesis in Computer Science
Data base system:
Data base model is defined using data manipulation and definition language many data issues such as data redundancy, inconsistency, difficult accessing data, integrity and security can be solved. These thesis can make the user stand out in a distinct way. These users are divided as three parts namely sophisticated, naïve and specialized user.
Programming languages:
C, C++, java and .net are some of the basic programming language that helps in the formation of any applications. PHP is a recently developed language of programming research on many programming languages will lead to the creation of user friendly application.
Robotics is an advanced artificial intelligence based system which allows the creation of various robots and its designing it is an interesting topic for M.Tech students to do their project. It allows automatic control of machines.
It is major domain for M.Tech final year projects on cloud computing , networking, multimedia and mobile computing are some domains which require security related projects. By giving passwords and verification code many software and user identities can be preserved.
System and networking:
Distributed system, wireless computing and operating system along with networking and wireless computing are domains for M.Tech thesis.
Future enhancement:
We offer projects with deep and profound analysis of various data sets including that of real world and synthetic data sets.M.Tech Thesis In Computer Science
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Computer Science > Computation and Language
Title: facilitating opinion diversity through hybrid nlp approaches.
Abstract: Modern democracies face a critical issue of declining citizen participation in decision-making. Online discussion forums are an important avenue for enhancing citizen participation. This thesis proposal 1) identifies the challenges involved in facilitating large-scale online discussions with Natural Language Processing (NLP), 2) suggests solutions to these challenges by incorporating hybrid human-AI technologies, and 3) investigates what these technologies can reveal about individual perspectives in online discussions. We propose a three-layered hierarchy for representing perspectives that can be obtained by a mixture of human intelligence and large language models. We illustrate how these representations can draw insights into the diversity of perspectives and allow us to investigate interactions in online discussions.
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Master of Science in Computer Science
The Master of Science in Computer Science enhances cybersecurity careers in developing and maintaining secure networked systems.
About the Master of Science in Computer Science
Computer Science careers are on the rise in both public and private sectors worldwide, ranging in everything from research in artificial intelligence and machine learning to secure systems design to software development. A Master of Science in Computer Science from Embry‑Riddle prepares graduates to either begin or further advance their careers in the fields of technology and cybersecurity.
The Electrical Engineering and Computer Science’s (EECS) Industry Advisory Board ensures that curriculum and research activities are aligned with what’s going on in the software industry. The accelerated program is a cutting-edge degree in a dynamic, growing field.
Student Learning Outcomes
What you will learn while pursuing a Computer Science degree:
- Apply fundamental computer science professional practices to analyze, design and implement systems.
- Apply knowledge of advanced topics in cybersecurity engineering and in computer science.
- Communicate effectively on issues pertaining to computer science and cybersecurity.
Computer Science Career Opportunities
Careers and employers.
Computer Science master's graduates often secure positions such as:
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Computer Science Salary Information
As of 2023, graduates with a degree in Computer Science receive competitive salaries , with an average income of $112,000 annually.
About Computer Science at the Daytona Beach, FL Campus
About computer science at the daytona beach campus.
Housed in the Electrical Engineering and Computer Science Department in the College of Engineering , the Master of Science in Computer Science prepares students to address challenges in the development of algorithms and data structures as well as maintaining secure operations and cybersecurity policy.
The Daytona Beach Campus is home to the Cybersecurity Engineering Laboratory (CybEL), a Real-Time Systems Laboratory, a Digital Systems Laboratory and a Software Development Laboratory, all of which offer students systems design and hands-on experience as it relates to cybersecurity attacks and corresponding mitigations, as well as software development and programming.
Tracks/Specialties and/or Certificates
Computer Science graduates may select one of two areas of concentration:
- Computer Science: 9 credits
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- Have an ability to apply knowledge of advanced topics in cybersecurity engineering and/or computer science.
- Have an ability to communicate effectively on issues pertaining to computer science and/or cybersecurity.
Degree Requirements
The Master of Science in Computer Science degree is granted to students who complete the coursework described below. The program consists of nine hours of core courses, nine hours of Area of Concentration courses, and nine hours of open electives for the Graduate Research Project Option or six hours of open electives for the Thesis Option.
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Thesis and Research Topics in Computer Science
Completing a masters Thesis in computer science is the most challenging task faced by research scholars studying in universities all across the world. As computer science is one of the most vast fields opted by research scholars so finding a new thesis topic in computer science becomes more difficult. With each passing day, new and innovative developments are coming out in this era of mechanization. These developments tend to make human life much easier and better. Technology is the forerunner of this new change. Today our life is incomplete without this technology. Cell phones, laptops and all that have become an integral part of our life. Computer Science is the seed to this technical development. There are a number of good topics in computer science for project, thesis, and research for M.Tech and Ph.D. students.
In the field of academics, we need to get rid of obsolete ideas and focus on new innovative topics which are fast spreading their arms among the vast global audience. Computer Science students both in bachelors and in masters are studying the same topics and subjects from the past few years. Students don’t even have knowledge about new masters research topics. For project and thesis work also they are relying on outdated topics. Projects like school management system, library management system etc. are now out of date. Students should shift their focus to latest technologies which are highly in demand these days and future depend upon these. Here is the list of latest topics in Computer Science that you can choose and work for your project work or thesis and research:
List of few latest thesis topics in computer science is below:
- Thesis topics in data mining
- Thesis topics in machine learning
- Thesis topics in digital image processing
- Latest thesis topics in Internet of things (IOT)
- Research topics in Artificial Intelligence
- Networking can be chosen as a thesis topic in computer science
- Trending thesis topics in cloud computing
- Data aggregation as a thesis topics in Big Data
- Research topics in Software Engineering
Data Warehousing
Data Warehousing is the process of analyzing data for business purposes. Data warehouse store integrated data from multiple sources at a single place which can later be retrieved for making reports. The data warehouse in simple terms is a type of database different and kept isolated from organization’s run-time database. The data in the warehouse is historical data which is helpful in understanding business goals and make decisions for future prospects. It is a relatively new concept and have high growth in future. Data Warehouse provides Online Analytical Processing(OLAP) tools for the systematic and effective study of data in a multidimensional view. Data Warehouse finds its application in the following areas:
- Financial Sector
- Banking Sector
- Retail Services
- Consumer goods
- Manufacturing
So start working on it if you have knowledge of database and data modeling.
INTERNET OF THINGS(IOT)
Internet of Things(IoT) is a concept of interconnection of various devices, a vehicle to the internet. IOT make use of actuators and sensors for transferring data to and from the devices. This technology is developed for better efficiency and accuracy apart from minimizing human interaction with the devices. The example for this is home heating in some countries when the temperature drops done through motion sensors which automatically detect the weather conditions. Another example for this is the traffic lights which changes its colors depending upon the traffic. Following are the application areas of Internet of Things(IoT):
- Home Automation
- Agriculture
- Transportation
- Environment
BELOW IS THE LIST OF FEW LATEST AND TRENDING RESEARCH TOPICS IN IOT :-
- The secure and energy efficient data routing in the IOT based networks
- The secure channel establishment algorithm for the isolation of misdirection attack in the IOT
- The clock synchronization of IOT devices of energy efficient data communication in IOT
- The adaptive learning scheme to increase fault tolerance of IOT
- Mobility aware energy efficient routing protocol for Internet of Things
- To propose energy efficient multicasting routing protocol for Internet of Things
- The novel scheme to maintain quality of service in internet of Things
- Link reliable and trust aware RPL routing protocol for Internet of Things
- The energy efficient cluster based routing in Internet of Things
- Optimizing Multipath Routing With Guaranteed Fault Tolerance in Internet of Things
Many people are not aware of this concept so you can choose for your project work and learn something new.
Big Data is a term to denote the large volume of data which is complex to handle. The data may be structured or unstructured. Structured data is an organized data while unstructured data is an unorganized data. Big data can be examined for the intuition that can give way to better decisions and schematic business moves. The definition of big data is termed in terms of three Vs. These vs are:
- Volume: Volume defines large volume of data from different sources
- Velocity: It refers to the speed with which the data is generated
- Variety: It refers to the varied amount of data both structured and unstructured.
Application areas:
BELOW IS THE LIST OF FEW LATEST AND TRENDING RESEARCH TOPICS IN BIG DATA :-
- Privacy preserving big data publishing: a scalable k-anonymization approach using MapReduce.
- Nearest Neighbour Classification for High-Speed Big Data Streams Using Spark.
- Efficient and Rapid Machine Learning Algorithms for Big Data and Dynamic Varying Systems.
- Disease Prediction by Machine Learning Over Big Data From Healthcare Communities.
- A Parallel Multi-classification Algorithm for Big Data Using an Extreme Learning Machine.
Thus you can prepare your project report or thesis report on this.
Cloud Computing
Cloud Computing is a comparatively new technology. It is an internet-based service that creates a shared pool of resources for consumers. There are three service models of cloud computing namely:
- Software as a Service(SaaS)
- Platform as a Service(PaaS)
- Infrastructure as a Service(IaaS)
Characteristics of cloud computing are:
- On-demand self-service
- Broad network access
- Shared pool of resources
- Scalability
- Measured service
Below is the list of few latest and trending research topics in Cloud Computing :-
- To isolate the virtual side channel attack in cloud computing
- Enhancement in homomorphic encryption for key management and key sharing
- To overcome load balancing problem using weight based scheme in cloud computing
- To apply watermarking technique in cloud computing to enhance cloud data security
- To propose improvement green cloud computing to reduce fault in the network
- To apply stenography technique in cloud computing to enhance cloud data security
- To detect and isolate Zombie attack in cloud computing
The common examples of cloud computing include icloud from Apple, Google-based Services like Google Drive and many more. The field is very demanding and is growing day by day. You can focus on it if you have interest in innovation.
Semantic Web
Semantic Web is also referred to as Web 3.0 and is the next big thing in the field of communication. It is standardized by World Wide Web Consortium(W3C) to promote common data formats and exchange protocols over the web. It is machine-readable information based and is built on XML technology. It is an extension to Web 2.0. In the semantic web, the information is well defined to enable better cooperation between the computers and the people. In the semantic web, the data is interlinked for better understanding. It is different from traditional data sharing technologies.
It can be a good topic for your thesis or project.
MANET stands for mobile ad hoc network. It is an infrastructure-less network with mobile devices connected wirelessly and is self-configuring. It can change locations independently and can link to other devices through a wireless connection. Following are the various types of MANETS :
- Vehicular ad hoc network(VANET)
- Smartphone ad-hoc network(SPANET)
- Internet-based mobile ad hoc network(iMANET)
You can use various simulation tools to study the functionality and working of MANET like OPNET, NS2 , NETSIM, NS3 etc.
In MANET there is no need of central hub to receive and send messages. Instead, the nodes directly send packets to each other.
MANET finds its applications in the following areas:
- Environment sensors
- Vehicular ad hoc communication
- Road Safety
BELOW IS THE LIST OF FEW LATEST AND TRENDING RESEARCH TOPICS IN MANET :-
- Evaluate and propose scheme for the link recovery in mobile ad hoc networks
- To propose hybrid technique for path establishment using bio-inspired techniques in MANET’s
- To propose secure scheme for the isolation of black hole attack in mobile ad hoc networks
- To propose trust based mechanism for the isolation of wormhole attack in mobile ad hoc networks
- The novel approach for the congestion avoidance in mobile ad hoc networks
- To propose scheme for the detection of selective forwarding attack in mobile ad hoc networks
- To propose localization scheme which reduce faults in mobile ad hoc network
- The energy efficient scheme for multicasting routing in wireless ad hoc network
- The scheme for secure localization aided routing in wireless ad hoc networks
- The cross-layer scheme for opportunistic routing in mobile ad hoc networks
Just go for it if you have interest in the field of networking and make a project on it.
Machine Learning
It is also a relatively new concept in the field of computer science and is a technique of guiding computers to act in a certain way without programming. It makes use of certain complex algorithms to receive an input and predict an output for the same. There are three types of learning;
- Supervised learning
- Unsupervised learning
- Reinforcement learning
Machine Learning is closely related to statistics. If you are good at statistics then you should opt this topic.
Data Mining
Data Mining is the process of identifying and establishing a relationship between large datasets for finding a solution to a problem through analysis of data. There are various tools and techniques in Data Mining which gives enterprises and organizations the ability to predict futuristic trends. Data Mining finds its application in various areas of research, statistics, genetics, and marketing. Following are the main techniques used in the process of Data Mining:
- Decision Trees
- Genetic Algorithm
- Induction method
- Artificial Neural Network
- Association
BELOW IS THE LIST OF FEW LATEST AND TRENDING RESEARCH TOPICS IN DATA MINING :-
- Performance enhancement of DBSCAN density based clustering algorithm in data mining
- The classification scheme for sentiment analysis of twitter data
- To increase accuracy of min-max k-mean clustering in Data mining
- To evaluate and improve apriori algorithm to reduce execution time for association rule generation
- The classification scheme for credit card fraud detection in Data mining
- To propose novel technique for the crime rate prediction in Data Mining
- To evaluate and propose heart disease prediction scheme in Data Mining
- Software defect prediction analysis using machine learning algorithms
- A new data clustering approach for data mining in large databases
- The diabetes prediction technique for Data mining using classification
- Novel Algorithm for the network traffic classification in Data Mining
Advantages of Data Mining
- Data Mining helps marketing and retail enterprises to study customer behavior.
- Organizations into banking and finance business can get information about customer’s historical data and financial activities.
- Data Mining help manufacturing units to detect faults in operational parameters.
- Data Mining also helps various governmental agencies to track record of financial activities to curb on criminal activities.
Disadvantages of Data Mining
- Privacy Issues
- Security Issues
- Information extracted from data mining can be misused
- Artificial Intelligence
Artificial Intelligence is the intelligence shown by machines and it deals with the study and creation of intelligent systems that can think and act like human beings. In Artificial Intelligence , intelligent agents are studied that can perceive its environment and take actions according to its surrounding environment.
Goals of Artificial Intelligence
Following are the main goals of Artificial Intelligence:
- Creation of expert systems
- Implementation of human intelligence in machines
- Problem-solving through reasoning
Application of Artificial Intelligence
Following are the main applications of Artificial Intelligence:
- Expert Systems
- Natural Language Processing
- Artificial Neural Networks
- Fuzzy Logic Systems
Strong AI – It is a type of artificial intelligence system with human thinking capabilities and can find a solution to an unfamiliar task.
Weak AI – It is a type of artificial intelligence system specifically designed for a particular task. Apple’s Siri is an example of Weak AI.
Turing Test is used to check whether a system is intelligent or not. Machine Learning is a part of Artificial Intelligence. Following are the types of agents in Artificial Intelligence systems:
- Model-Based Reflex Agents
- Goal-Based Agents
- Utility-Based Agents
- Simple Reflex Agents
Natural Language Processing – It is a method to communicate with the intelligent systems using human language. It is required to make intelligent systems work according to your instructions. There are two processes under Natural Language Processing – Natural Language Understanding, Natural Language Generation.
Natural Language Understanding involves creating useful representations from the natural language. Natural Language Generation involves steps like Lexical Analysis, Syntactic Analysis, Semantic Analysis, Integration and Pragmatic Analysis to generate meaningful information.
Image Processing
Image Processing is another field in Computer Science and a popular topic for a thesis in Computer Science. There are two types of image processing – Analog and Digital Image Processing. Digital Image Processing is the process of performing operations on digital images using computer-based algorithms to alter its features for enhancement or for other effects. Through Image Processing, essential information can be extracted from digital images. It is an important area of research in computer science. The techniques involved in image processing include transformation, classification, pattern recognition, filtering, image restoration and various other processes and techniques.
Main purpose of Image Processing
Following are the main purposes of image processing :
- Visualization
- Image Restoration
- Image Retrieval
- Pattern Measurement
- Image Recognition
Applications of Image Processing
Following are the main applications of Image Processing:
- UV Imaging, Gamma Ray Imaging and CT scan in medical field
- Transmission and encoding
- Robot Vision
- Color Processing
- Pattern Recognition
- Video Processing
BELOW IS THE LIST OF FEW LATEST AND TRENDING RESEARCH TOPICS IN IMAGE PROCESSING :-
- To propose classification technique for plant disease detection in image processing
- The hybrid bio-inspired scheme for edge detection in image processing
- The HMM classification scheme for the cancer detection in image processing
- To propose efficient scheme for digital watermarking of images in image processing
- The propose block wise image compression scheme in image processing
- To propose and evaluate filter based on internal and external features of an image for image de noising
- To improve local mean filtering scheme for de noising of MRI images
- To propose image encryption base d on textural feature analysis and chaos method
- The classification scheme for the face spoof detection in image processing
- The automated scheme for the number plate detection in image processing
Bioinformatics
Bioinformatics is a field that uses various computational methods and software tools to analyze the biological data. In simple words, bioinformatics is the field that uses computer programming for biological studies. It is the current topic of research in computer science and is also a good topic of choice for the thesis. This field is a combination of computer science, biology, statistics, and mathematics. It uses image and signal processing techniques to extract useful information from a large amount of data. Following are the main applications of bioinformatics:
- It helps in observing mutations in the field of genetics
- It plays an important role in text mining and organization of biological data
- It helps to study the various aspects of genes like protein expression and regulation
- Genetic data can be compared using bioinformatics which will help in understanding molecular biology
- Simulation and modeling of DNA, RNA, and proteins can be done using bioinformatics tools
Quantum Computing
Quantum Computing is a computing technique in which computers known as quantum computers use the laws of quantum mechanics for processing information. Quantum Computers are different from digital electronic computers in the sense that these computers use quantum bits known as qubits for processing. A lot of experiments are being conducted to build a powerful quantum computer. Once developed, these computers will be able to solve complex computational problems which cannot be solved by classical computers. Quantum is the current and the latest topic for research and thesis in computer science.
Quantum Computers work on quantum algorithms like Simon’s algorithm to solve problems. Quantum Computing finds its application in the following areas:
The list is incomplete as there are a number of topics to choose from. But these are the trending fields these days. Whether you have any presentation, thesis project or a seminar you can choose any topic from these and prepare a good report.
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Computer Science Thesis Oral
May 1, 2024 1:30pm — 3:30pm.
Location: In Person and Virtual - ET - McWilliams Classroom, Gates Hillman 4303 and Zoom
Speaker: ROHAN SAWHNEY , Ph.D. Candidate, Computer Science Department, Carnegie Mellon University http://rohansawhney.io/
Monte Carlo Geometry Processing: A Grid-Free Approach to Solving Partial Differential Equations on Volumetric Domains
This thesis develops Monte Carlo algorithms based on the walk on spheres (WoS) method to reliably solve fundamental partial differential equations (PDEs) like the Poisson equation on geometrically complex domains. Elliptic PDEs are a basic building block of algorithms and applications throughout science, engineering, and geometric computing. Yet despite decades of research on methods for solving such PDEs, conventional solvers still struggle to deal with the level of geometric complexity found in the natural world. A constant challenge is the need for spatial discretization, which traditionally involves dividing the domain into a high-quality volumetric mesh or grid to perform PDE-based analysis. Unfortunately, this approach does not scale well to modern computer architectures as it is inherently sequential and memory intensive. It also falters when dealing with imperfect data containing poorly-shaped elements or self-intersections. These shortcomings together hinder the ability of scientists, engineers and designers to analyze geometric data and iterate on designs.
Walk on spheres makes a radical departure from conventional PDE solvers by reformulating the problem in terms of recursive integral equations that can be solved using the Monte Carlo method, allowing it to avoid volumetric mesh generation and function space approximation altogether. Furthermore, since these integral equations closely resemble those found in light transport theory, one can leverage deep knowledge from Monte Carlo rendering to build new algorithms for solving PDEs.
In this work, we take inspiration from rendering to generalize WoS to solve a much broader set of linear elliptic PDEs on solid regions of ℝ N . We develop complete “black box” solvers encompassing integration, variance reduction and acceleration. Our solvers share many benefits with Monte Carlo methods from rendering: no volumetric meshing, trivial parallelism, output-sensitive evaluation of the PDE solution and its gradient without the need to solve a globally-coupled system of equations, and the ability to handle geometric data of size and complexity that is essentially hopeless for grid-based techniques.
Thesis Committee:
Keenan Crane (Chair) Ioannis Gkioulekas Matthew O'Toole Gautam Iyer Matt Pharr (NVIDIA)
In Person and Zoom Participation. See announcement.
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M.Tech Thesis Topics in Computer Science
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Research Fields in Computer Science:
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Design, Deployment, and Validation of Computer Vision Techniques for Societal Scale Applications, Arup Kanti Dey. PDF. AffectiveTDA: Using Topological Data Analysis to Improve Analysis and Explainability in Affective Computing, Hamza Elhamdadi. PDF. Automatic Detection of Vehicles in Satellite Images for Economic Monitoring, Cole Hill. PDF
Geometric Representation Learning, Luke Vilnis, Computer Science. PDF. Understanding of Visual Domains via the Lens of Natural Language, Chenyun Wu, Computer Science. PDF. Towards Practical Differentially Private Mechanism Design and Deployment, Dan Zhang, Computer Science. PDF. Audio-driven Character Animation, Yang Zhou, Computer Science
MIT's DSpace contains more than 58,000 theses completed at MIT dating as far back as the mid 1800's. Theses in this collection have been scanned by the MIT Libraries or submitted in electronic format by thesis authors. Since 2004 all new Masters and Ph.D. theses are scanned and added to this collection after degrees are awarded.
learn programming in virtual reality? a project for computer science students, benjamin alexander. pdf. lung cancer type classification, mohit ramajibhai ankoliya. pdf. high-risk prediction for covid-19 patients using machine learning, raja kajuluri. pdf. improving india's traffic management using intelligent transportation systems, umesh ...
All of our academic staff are research active, working with a team of post-graduate and post-doctoral researchers and a lively population of research students. Our research focuses on core themes of theoretical and practical computer science: artificial intelligence and symbolic computation, networked and distributed systems, systems ...
Theses/Dissertations from 2019. PDF. A Secure Anti-Counterfeiting System using Near Field Communication, Public Key Cryptography, Blockchain, and Bayesian Games, Naif Saeed Alzahrani (Dissertation) PDF. Spectral Clustering for Electrical Phase Identification Using Advanced Metering Infrastructure Voltage Time Series, Logan Blakely (Thesis) PDF.
COMPUTER VISION IN ADVERSE CONDITIONS: SMALL OBJECTS, LOW-RESOLUTION IMAGES, AND EDGE DEPLOYMENT, Raja Sunkara. Theses from 2022 PDF. Maximising social welfare in selfish multi-modal routing using strategic information design for quantal response travelers, Sainath Sanga. PDF. Man-in-the-Middle Attacks on MQTT based IoT networks, Henry C. Wong
The Digital Repository Service is a secure repository system, designed to store and share scholarly, administrative, and archival materials from the Northeastern University community. The DRS was developed by the Northeastern University Library as a tool for University faculty and staff to protect the valuable information and data that has been created as part of the University's research ...
Theses/Dissertations from 2023. PDF. Integrative analysis of cell-free DNA liquid biopsy data, Irfan Alahi. PDF. Deep Learning for Tomographic Image Reconstruction Guided by Generative Models and Image Science, Sayantan Bhadra. PDF. Interpretable deep learning via sparse representation for protein-DNA interactions, Shane Kuei-Hsien Chu. PDF.
The M.S. Thesis Track. The MS Thesis track is for students who want to concentrate on research in some sub-field of Computer Science. You are required to arrange for a Computer Science Faculty member who agrees to advise the thesis and the rest of your course selection prior to selecting the track.
Embark on an enriching academic journey with our meticulously curated selection of MTech project topics in Computer Science for 2024. Aligned with trending IEEE base papers, this compilation serves as a guiding light for MTech enthusiasts seeking innovative projects accompanied by concise abstracts and associated base papers.. Diverse Range in Cutting-edge Areas
The Department of Computer Science is a discipline concerned with the study of computing, which includes programming, automating tasks, creating tools to enhance productivity, and the understanding of the foundations of computation. The Computer Science program provides the breadth and depth needed to succeed in this rapidly changing field. One of the more recent fields of academic study ...
Theses/Dissertations from 2022. PDF. The Design and Implementation of a High-Performance Polynomial System Solver, Alexander Brandt. PDF. Defining Service Level Agreements in Serverless Computing, Mohamed Elsakhawy. PDF. Algorithms for Regular Chains of Dimension One, Juan P. Gonzalez Trochez. PDF.
This final copy of the thesis must be submitted to Academic section (Assistant Registrar, Academics) through the M. Tech. program Coordinator/Advisor. A soft copy of the thesis on a Compact Disk must also be submitted along with the hard copy of the thesis. 1.2. Title of the Thesis and Title page format.
M Tech Thesis. July 2015; Authors: ... Science and Engineering from Institute of T echnical Education and Researc h, ... ciate Professor, Department of Computer Science, for his initiative and ...
M.Tech thesis topics in computer science in classified to many divisions, guidance is provided to all kinds regarding M.Tech thesis topics in computer science, below we speak about some of its types. Knowledge discovery, bio medical engineering, image processing, wireless communication, wireless sensor networks, medical imaging, grid computing ...
PDF | On May 19, 2015, Kamta Nath Mishra and others published M Tech Computer Science thesis on Veins Based Personal Identification | Find, read and cite all the research you need on ResearchGate
To associate your repository with the mtech-project topic, visit your repo's landing page and select "manage topics." GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
Abstract: Gaze-following is an important ability that allows us to understand what people are doing, and what are their intentions. Current research on gaze following is focused on using a single image and restricts the task based on whether the target is in frame or out of frame.
Majority of M. Tech thesis based on research field. Our technical team mainly focus the research journals for update the new M. Tech thesis topics. More over we refer 400+ journals for update the M. Tech thesis topics. We follow only the high impact factor reputed journals only. Our referred journals must be in SCI / SCOPUS / CSI / ISI category.
M.Tech Thesis In Computer Science gives a full fledged knowledge on all computer related concepts such as computer algorithm, communication via networking and all hardware and software components. Various issues on computer technology is solved through M.Tech computer projects any domain can be selected for doing project by M.Tech final year students. In their thesis […]
Modern democracies face a critical issue of declining citizen participation in decision-making. Online discussion forums are an important avenue for enhancing citizen participation. This thesis proposal 1) identifies the challenges involved in facilitating large-scale online discussions with Natural Language Processing (NLP), 2) suggests solutions to these challenges by incorporating hybrid ...
The Master of Science in Computer Science degree is granted to students who complete the coursework described below. The program consists of nine hours of core courses, nine hours of Area of Concentration courses, and nine hours of open electives for the Graduate Research Project Option or six hours of open electives for the Thesis Option.
Top Trending Topics. Project topics for 2023-24 include Artificial Intelligence and Machine Learning, Cybersecurity, IoT, Blockchain, Cloud Computing, AR/VR, NLP, Data Science, Renewable Energy, and HCI. These topics cover domains such as healthcare, finance, agriculture, supply chain management, education, sports, and entertainment.
There are a number of good topics in computer science for project, thesis, and research for M.Tech and Ph.D. students. In the field of academics, we need to get rid of obsolete ideas and focus on new innovative topics which are fast spreading their arms among the vast global audience.
Students who are completing a dissertation, thesis, or report are invited to join the Graduate School to learn about the resources available to them to assist in scheduling their defense, formatting their documents, and submitting their documents. In one afternoon, you can learn everything you need to be successful and complete your degree in a . . .
This thesis develops Monte Carlo algorithms based on the walk on spheres (WoS) method to reliably solve fundamental partial differential equations (PDEs) like the Poisson equation on geometrically complex domains. Elliptic PDEs are a basic building block of algorithms and applications throughout science, engineering, and geometric computing.
M.Tech Thesis Topics in Computer Science go through three stages of external analysis. This is an important process in which your future is determined. Our approach is universal as we follow an international standard in thesis writing. This standard is crafted exclusively by us by referring to more than ten international universities.
Get in Touch with Us for world class Education. The Registrar, R Venkat Raman Nagar, Kalapet Pondicherry - 605 014, India [email protected] Tel : 0413 - 2655179 Fax : 0413 - 2655734