phd research topics for engineering

Systems Ph.D.

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Are you looking to take a leadership role within a research group or company division or as a professor? The employment prospects for the graduates of this program, both in academia and industry, are remarkably high as demand for systems experts far outweighs their supply. We expect the graduates of the program to find employment in a variety of fields, including academia, and public, private and governmental agencies specializing in energy, healthcare, defense, aerospace, information technology, policy making, etc. The applicable areas are endless because systems science and engineering are essential to tackle today’s complex global challenges.

Ph.D. in Systems

Accepting applications now for fall 2024 deadline to apply: january 15.

Graduates of the program will find employment in a variety of fields, including academia and public, private and governmental agencies specializing in energy, healthcare, defense, aerospace, information technology, policy making, etc.

Active areas of research

• Multi-agent simulation framework for cooperative observing systems of systems
• Patterns in architectural decisions and fast problem formulation in system architecture
• Extreme weather forecasting using constellations of nanosatellites
• Improved human-computer interaction for design of complex systems
• Integrated materials and process design for carbon capture systems
• Cyber-physical infrastructure and informatics for healthy living in smart cities
• Enhancing the food security through sustainable regional food systems development
• Forecasting evacuation behaviors of coastal communities in response to storm hazard information
• Willingness to improve the resiliency of New York City’s transportation system
• Pharmaceutical manufacturing modeling and control
• Systems design of chemical manufacturing from shale gas

Research Vision for Systems@Cornell

•    Strongly rooted in Cornell identity         • Rigorous theoretical foundations         • Disciplinary breadth         • Integrative and multi-disciplinary

•    Focused on solving global societal challenges         • Water-food-energy nexus         • Global climate change         • Built environment, infrastructure, transportation, energy, manufacturing  

“This PROGRAM is not ABOUT learning existing techniques. These are people who are going to create the state of the art… And so who do you turn to when appropriate techniques don’t exist for innovating complex systems? That’s a systems Ph.D.” –    Pat Reed, Professor,       Systems Engineering Field Faculty Member

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Astrophysics, Fusion and Plasma Physics

Cornell’s research programs in planetary astronomy, infrared astronomy, theoretical astrophysics, and radio astronomy are internationally recognized. Plasma physics is the science of electrically conducting fluids and high-temperature ionized gases. While the best-known research impetus is controlled fusion as a potential source of electric power, plasma physics also underlies many solar, astrophysical, and ionospheric phenomena as well as industrial applications of plasmas.

Nanoscience and Nanotechnology

Nanoscience, the behavior of physical systems when confined to near atomic, nanoscale ( 100 nm) dimensions together with the physical phenomena that occur at the nanoscale, is currently one of the most dynamic and rapidly developing areas of interdisciplinary research in applied physics.

Condensed Matter and Materials  Physics

Research topics in this diverse area range from innovative studies of the basic properties of condensed-matter systems to the nanofabrication and study of advanced electronic, optoelectronic, spintronic, and quantum-superconductor devices.

Energy Systems

The need for future renewable sources of energy and ways to minimize consumption is leading to a growing emphasis on new concepts for the generation, storage, and transportation of energy. Cornell faculty are involved in developing a wide range of energy-related materials, such as photovoltaic materials, thermoelectrics, advanced battery materials and catalysts, membranes and supports for mobile fuel cells. Research is also conducted on materials processing that minimizes environmental impact.

Biophysics is a broad field, ranging from fundamental studies of macromolecules or cells, through the design of state of the art diagnostic or medical tools. A number of AEP research groups are pushing the limits in biophysical studies by developing instruments that provide new insight into the physics that drives biological processes or developing new methods for manipulating biomolecules for biotechnological or biomedical applications.

Microfluidics and Microsystems

Researchers in this field use their knowledge of microfluidics to create microsystems useful both in research and real-world applications in a variety of fields, including chemistry, biology, agriculture, and biomedical engineering.

Optical Physics

Photonics researchers focus on the applications of the particle properties of light; optoelectronics has to do with the study and application of effects related to the interaction of light and electronic signals.

Quantum Information Science

QIS research studies the application of quantum physics to information science and technology. AEP has research groups spanning quantum sensing, communications, simulation, and computing, with experimental approaches including superconducting circuits, trapped ions, photonics, and semiconductor devices.

PhD Assistance

Ph.d. in engineering approaches in topic selection appropriate approaches to select topics for engineering phds.

Ph.D. in Engineering is one of the most stringent studies for any student. It is because engineering is not only a study of 45 subjects but also a moral study of intellectual life. Hence its topic selection for writing Ph.D is from many fields and subfields of engineering. Though many specialize in one particular area of engineering, its massive subfields make it hard for most of the students. Hence only the right approach to its topic selection gains prominence to complete the  engineering Ph.D. in time and successful

Engineers create what scientists investigate and hence considered as the architects of the modern world. Only the engineering researches have made the world a better place, and writing Ph Ds for them enhances more in the future. Hence the topic selection for engineering should be more beneficial to society than only for academic purposes. The possibilities of engineering innovations are limitless, and engineers should have an interest coupled with imagination to identify the right topic for their PhDs.

PhD Assistance  develop ML algorithms using Python, Hadoop  framework and many more to both secure access control in Networking platforms. Hiring our experts, you are assured with quality and on-time delivery.

Ph.D. writing is a lengthy process and takes years to complete. And that too for an engineering Ph.D., it becomes more cumbersome to write Ph.D. in time with its broader scope of reach. Some students will be lucky enough to get the topic from their professors. But for many, it is up to them to identify the issue and use creativity to make it useful not only for academic purposes but also for future careers and even for the betterment of society. But for this to happen, selecting the right research topic is crucial to have a lot of opportunity for creativity. Only the right approach in topic selection will lead to the right topic.

  Hire PhD Assistance experts to develop your  algorithm and coding implementation  for your Computer Science dissertation Services.

engineering Ph D. Many of the students have the opinion that research writing is an imposed task for academic purposes. This hate approach will surely land them in a lot of troubles and eventually end up without completing the Ph.D. or, worse, do it without any interest or creativity. The following are some of the approaches in the topic selection of engineering PhDs

• The approach of selecting the topic should not only be for satisfying the requirements but also to ensure the journey of Ph.D.writing an enjoyable experience than a daunting one • It is only the students’ approach in selecting as to their interest and liking can be done and there is none in the world to do it for them • Identifying the passion that made the students select engineering as their favored subject and register for the course should be kept in mind while determining the topic • Finding what initial fascinations in the engineering fields that was of great interest during all the years of engineering study from graduation to masters could be helpful to find the right topic • What were the things that the students wanted to know more in the course of engineering study will be useful in choosing the topic • Not falling on to the trap of despair during the topic selection or after it to write the engineering Ph.D. as it will not allow any creativity or imagination to do so • The awareness that it is the student who chose the engineering course of study will enable students to write the Ph.D. enjoyable or in the worst case something that is doing with interest • Having strong faith in identifying the right topic   will contribute to face all the challenges of writing engineering Ph.D. • Only a topic selected with the right positive approach will get the interest of the students to overcome intimidation by the thought of writing • Understanding of the assignment on hand will help to get the right approach to write the topic as it will enable the student to choose one for the right length and scope of the research • The purpose of the research is another factor to determine the topic with enthusiasm • Brainstorming the broader topic and writing down all related keywords will help to find the idle topic • During brainstorming avoid overused ideas and go for the unique keyword to get the best topic • Narrow down the keywords form brainstorming to the most interested and passionate topic • Visualize your narrowed down topic of the effects it could have on professors, future career and for the betterment of society • Bring into the decision making process the most passionate engineering aspects countered during the engineering studies • Teachings of professors in class could come in handy to narrow down the topic • Reviewing class notes and handouts will give clues to select the exciting topic • Background research of the broader topic using many sources will enable to narrow down the topic • Use the five Ws and H method to break down the broad topic by noting down the answers for them • Refine the ideas using SOCRAPR model which represents the following of the broader topic

PhD Assistance experts has experience in handling  dissertation and assignment  in computer science research with assured 2:1 distinction.  Talk to Experts Now 

 Similarities  Opposites  Contrasts  Relationships  Anthropomorphisms  Personifications  Repetition

• Considering the challenges and benefits of the topic is essential to narrow down the topic to complete it within the stipulated time • Define the topic as the research question to have a clear idea of its reach for the research • Research and read more on the topic to ascertain it as the topic for your engineering PhD • Be flexible during the finalization or even during writing the Ph.D. to change the topic if there is an absolute need or on the advice of superiors and professors

The above approaches and ways to identify the topic will help to write engineering Ph.D. successfully. To write it enthusiastically from start to finish only the right topic will be helpful. A right approach and remembering all the benefits it could provide only will help to choose the right topic for it to complete it in time and successfully. For further assistance seek professional help.

PhD Assistance has vast experience in developing dissertation research topics for students pursuing the UK dissertation in computer science.  Order Now 

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• School of Engineering and Applied Sciences
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• Institute of Bridge Engineering (IBE) >
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Funded PhD Opportunities

The Institute of Bridge Engineering (IBE) has several research opportunities available to civil engineering doctoral students interested in bridge engineering for the academic year 2022-2023. Interested students should contact the IBE faculty member associated with the posted project. 

Qualifications

Master's degree in civil engineering with a minimum undergraduate and graduate GPA of 3.5. Preference will be given to candidates with prior research experience. Candidates must possess a passion for research, sharp analytical skills and the ability to think independently. Domestic candidate and candidates from traditionally underrepresented populations are encouraged to apply. 

Open Positions

IBE faculty members have the following positions available for civil engineering doctoral students. Visit the link associated with each position to learn more. 

Visit the Scholarships, Fellowships and Assistantships page for more information . 

Thesis Ideas for Computer Engineering

In the computer engineering domain, various concepts are emerging in recent times that assist in conducting research. We stay updated every day on changes in technologies sew identify the correct research gaps and share with scholar proper ideas and trending topics for all areas of computer engineering. The following are some thesis topics and plans relevant to computer engineering field that we consider:

• Machine Learning and Artificial Intelligence: In machine learning and AI, we explore novel techniques or approaches. This can be based on building fresh frameworks for particular works, enhancing previous methods, or implementing AI to new regions of interest.
• Internet of Things (IoT) and Smart Devices: Here, our work is to concentrate on the combination and interaction of IoT devices. Topics related to this domain can incorporate energy performance in smart devices, improving safety in IoT, or the building of novel kinds of IoT approaches.
• Computer Vision and Image Processing: Specifically for object identification, image recognition, or 3D modeling, we aim to enhance or construct novel techniques.
• Robotics and Automation: Our project concentrates on the pattern and application of robotic frameworks and that comprise various topics such as drone innovations, self-driving vehicles, or robotic process automation.
• Networks and Distributed Systems: In networking, we intend to investigate latest subjects, including the construction of more robust protocols, enhancing network safety, or advancements in distributed computing.
• Cybersecurity and Cryptography: , In the cybersecurity field, our project researches innovative approaches such as building more efficient encryption techniques or novel tactics for preventing cyber assaults.
• Quantum Computing: We involve more into the evolving domain of quantum computing. This consists of quantum computer framework, technique creation, or quantum computing applications.
• Human-Computer Interaction (HCI): To enhance the communication among computers and humans, we explore novel approaches like augmented reality, virtual reality, and user interface design.
• Bioinformatics and Computational Biology: Our work intends to implement computer engineering norms to the biology domain, including creation of techniques for examining biological data or framing complicated biological models.
• Big Data and Data Analytics: For managing, processing and examining extensive datasets, we investigate new techniques. This can incorporate data visualization, machine learning algorithms, or the creation of novel data analysis tools.

Keep in mind that a proper thesis topic must be practical within the objective and accessible materials in addition to be creative and intriguing. Also it is significant to examine the possibility and importance of the topic in the latest trending approaches.

What is a good research question for thesis?

For a computer engineering-based thesis, the creation of an effective research query incorporates finding a particular issue or passionate region within the domain, and designing a query that must be achievable as well as crucial. Appropriate research key word plays a major role it acts a good research question as it attracts the readers. Get our thesis writing services done from subject professionals, we handle it perfectly that abides by your academic standards. Below, we suggest some well-defined research queries related to computer engineering across different regions where we provide major assistance:

• Machine Learning and AI: How can machine learning algorithms be optimized for energy efficiency in mobile devices without compromising performance?
• Internet of Things (IoT): How can IoT devices be made more secure against distributed denial-of-service (DDoS) attacks without significantly increasing their cost or complexity?
• Computer Vision and Image Processing: Can deep learning techniques improve the accuracy of real-time object detection in varied lighting and weather conditions?
• Robotics and Automation: What are the challenges and solutions for implementing collaborative robots (cobots) in small and medium-sized manufacturing enterprises?
• Networks and Distributed Systems: What new models of distributed computing can effectively leverage edge computing for faster data processing in IoT networks?
• Cybersecurity and Cryptography: What are the effective strategies to detect and mitigate advanced persistent threats in enterprise networks?
• Quantum Computing: What are the practical limitations of implementing Shor’s algorithm in current quantum computing models, and how can these limitations be overcome?
• Human-Computer Interaction (HCI): How does the integration of augmented reality in educational software impact the learning outcomes in STEM subjects for high school students?
• Big Data and Data Analytics: How can big data analytics be used to predict and mitigate traffic congestion in urban areas effectively?
• Bioinformatics and Computational Biology: How can computational models be improved to more accurately simulate protein folding in complex organisms?

It is essential to make sure that your research query is explicit, concentrated, and realistic within the research goal while structuring it. The query must be more particular to be solvable within your research but also sufficiently wide to be aligned with realistic and educational passion. It will direct your study to dedicate novel perceptions and expertise to the computer engineering domain.

Computer Engineering Thesis Writing Services

phdprojects.org offers best Computer Engineering Thesis Writing Services, article writing, journal manuscript done by PhD professionals. We are a huge team of 100+ experts you can get your programming, code and  simulation results with best explanation .More than 16+ programming languages ae well handled by our developers.

• Massive Multiple Access Based on Superposition Raptor Codes for Cellular M2M Communications
• Q-value Learning Automata (QvLA)-RACH Access Scheme for Cellular M2M Communications
• Class based dynamic priority scheduling for uplink to support M2M communications in LTE
• Modeling and Forecasting of Timescale Network Traffic Dynamics in M2M Communications
• Signal-Centric Predictive Medium Access Control for M2M Communications
• M2M meets D2D: Harnessing D2D interfaces for the aggregation of M2M data
• A lightweight framework for efficient M2M device management in oneM2M architecture
• Deriving Machine to Machine (M2M) Traffic Model from Communication Model
• Learning Automata Based Q-Learning RACH Access Scheme for Cellular M2M Communication
• System Behavior and Improvements for M2M Devices Using an Experimental Satellite Network
• Ad Hoc M2M communications and security based on 4G cellular system
• A dynamic access class barring scheme to balance massive access requests among base stations over the cellular M2M networks
• A GCICA Grant-Free Random Access Scheme for M2M Communications in Crowded Massive MIMO Systems
• Dimensioning approach to provision M2M services on legacy GPRS and UMTS Cellular Networks
• M2M communications: Enablement in 4G LTE, deployment considerations and evolution path to 5G
• A D2D cooperative relay scheme for machine-to-machine communication in the LTE-A cellular network
• Random Access Channel Management for Handling Massive Numbers of Machine-to-Machine Communication Device
• Energy Efficient Self-Reconfiguration Scheme for Visual Information Based M2M Communicatio
• Remote subscription management of M2M terminals in 4G cellular wireless networks
• A novel WiMAX ranging scheme for periodic M2M applications in smart grid
• Energy Efficient Resource Allocation for UAV-Served Energy Harvesting-Supported Cognitive Industrial M2M Networks
• Radio resource allocation in LTE-advanced cellular networks with M2M communications
• Signal-centric predictive polling for medium access control in M2M communications networks
• Low-Complexity Heuristic Algorithm for Power Allocation and Access Mode Selection in M2MNetworks
• Bit-interleaved polar-coded OFDM for low-latency M2M wireless communications
• A Novel Machine-to-Machine Communication Strategy Using Rateless Coding for the Internet of Things
• Regularity of movement based approach for M2M services discovery
• To random access or schedule? Optimum 3GPP licensed-assisted access for machine-to-machine communications
• Building communications system: Takenaka’s M2M platform for building management & application interface
• A Multi-Gbps, Energy Efficient, Contactless Data-Communication Link for Machine-to-Machine (M2M) Interaction with Rotational Freedom.
• Grouping Based Uplink Resource Allocation for Massive M2M Communications over LTE
• Exploiting Spatial and Temporal Correlations for Signal-Centric MAC in M2M Communication
• Power Control for Cognitive M2M Communications Underlaying Cellular With Fairness Concerns
• Wireless M2M Communication Networks for Smart Grid Application
• An energy-efficient scheme for WiFi-capable M2M devices in hybrid LTE network
• Service Characteristics-Oriented Joint ACB, Cell Selection, and Resource Allocation Scheme for Heterogeneous M2M Communication Networks
• Optimizing Data Aggregation for Uplink Machine-to-Machine Communication Networks
• Pattern Division Random Access (PDRA) for M2M Communications With Massive MIMO System
• Modeling and analysis for admission control of M2M communications using network calculus
• An energy efficient, fault tolerant and secure clustering scheme for M2M communication networks
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Transportation Engineering

From mobility to safety, UW CEE transportation engineering researchers develop solutions to pressing challenges in the transportation field. Research in this area is booming, driving rapid improvements in transportation systems worldwide. Recent developments include $14 million in research funding from the United States Department of Transportation to support the PacTrans Center’s research on urban and rural mobility. UW CEE’s transportation engineering program is internationally recognized for its quality in research and education. The program has well-established connections with universities and transportation research institutes in China, Japan and many European countries.

Research covers a variety of topics, including transportation planning, traffic system operations, logistics and freight transportation, transportation network system analysis, intelligent transportation systems, transit system planning, travel behavior and demand modeling, resilient infrastructure systems, traffic safety, human factors analysis and sustainable transportation infrastructure design. CEE’s transportation program works closely with industry and government to ensure that relevant transportation topics are covered in both research agendas and the curriculum. 

Research topics

• Traffic operations and intelligent transportation systems Faculty involved: Yinhai Wang , Jeff Ban , and Ed McCormack
• Sustainable transportation infrastructures Faculty involved: Don MacKenzie , Cynthia Chen , Ed McCormack , Anne Goodchild and Yinhai Wang
• Transportation safety Faculty involved: Yinhai Wang , Cynthia Chen and Anne Goodchild
• Freight and logistics Faculty involved: Anne Goodchild , Ed McCormack ,  Jeff Ban  and  Amelia Regan
• Transit and shared mobility Faculty involved: Cynthia Chen ,  Don MacKenzie ,  Yinhai Wang  and  Amelia Regan
• Transportation data science Faculty involved: Yinhai Wang , Cynthia Chen , Don MacKenzie , Jeff Ban ,  Linda Ng Boyle  and  Amelia Regan
• Transportation network analysis Faculty involved: Jeff Ban , Cynthia Chen ,  Anne Goodchild  and  Amelia Regan

Student research

Improving safety at highway-rail-trail crossings.

The U.S. relies on an expansive rail network, which often crosses highways at-grade along the way. In recent years, placing trails next to railroads has increased bicycle infrastructure, but complicates crossings. To better understand the intersections, particularly how their safety can be improved, a team of researchers from the SCTL Center, including graduate students Anna Alligood and Polina Butrina, worked with the Oregon Department of Transportation. The researchers visited sites across the state to collect data and observations. The project produced a guidebook for use by public agencies to increase safety at highway-rail-trail crossings.

Using Mobile Sensing to Improve Bus Service

It has historically been difficult and expensive to collect passenger travel data in order to improve transit service. However, thanks to new technology developed by UW CEE researchers, it is now easier and less expensive to learn about travel patterns. The technology detects the unique Media Access Control address of mobile devices and gathers data such as where bus riders board and disembark and how much time passes before they catch another bus. The research team includes Ph.D. student Kristian Henrickson, alumni Yegor Malinovskiy and Matthew Dunlap, research associate Zhibin Li and professor Yinhai Wang.

Labs & research groups

CEE faculty oversee labs and research groups, where they investigate a variety of critical problems related to transportation engineering. Undergraduate and graduate students are encouraged to participate in research.

• Human Factors & Statistical Modeling Lab
• Intelligent Urban Transportation Systems Lab
• Sustainable Transportation Lab
• Transportation-Human Interaction and Network Knowledge (THINK) Lab
• Urban Freight Lab

UW CEE hosts several centers, funded by industry and government. The centers headquarter research on specific themes and act as hubs connecting faculty and students with resources to support research, education and outreach activities.

• Pacific Northwest Transportation Consortium (PacTrans)
• Washington State Transportation Center (TRAC)
• Supply Chain Transportation and Logistics (SCTL) Center
• Four USDOT-funded Tier 1 University Transportation Centers

Professional societies

ASCE Transportation & Development Institute Urban and Regional Information Systems Association (URISA) Institute of Transportation Engineers Transportation Research Board American Planning Association Transportation Club of Seattle Transportation Club of Tacoma Council of Supply Chain Management Professionals  (CSCMP)

Degree programs

• Transportation Engineering Master’s Program
• Transportation Engineering Ph.D. Program 
• Master of Supply Chain Transportation and Logistics Online Master's Program
• Master of Sustainable Transportation Online Master's Program

Latest news

Advancing electric vehicle technology.

How UW engineers are helping Washington lead the way in electric vehicle technology and the infrastructure required to advance it.

Electric cargo bikes' future

A new paper by the Urban Freight Lab highlights the transformative potential of electric cargo bikes in reshaping urban logistics.

Amazon's delivery impact

New research by CEE team shows that Seattle metro residents near Amazon delivery stations face more pollution but order fewer packages.

TRAC Director Mark Hallenbeck retires

The director of the Washington State Transportation Center influenced roadway systems and transportation engineering locally and nationally.

• Civil Engineering

Latest PhD Research Topics in Civil Engineering

The field focuses on everything that is built around us..

Explore the latest PhD research topics in Civil Engineering, the oldest discipline in engineering dedicated to shaping modern civilization. Delve into the design and construction of bridges, buildings, subways, and the preservation of our natural and physical environment. You can also engage in research areas covering both the public and private sectors.

PhD Topic Help in Civil Engineering: Explore Emerging Research Areas

Seismic Behavior of Steel Plate Shear Wall as a PhD Topic in Civil Engineering

Steel plate shear wall is employed as a lateral load, resisting system in seismic regions recently to avoid the adverse effects of any seismic movements. Steel plate shear wall has been used as an alternative to reinforced concrete shear walls since it is more ductile and lighter with better performance.

Seismic Performance of Reinforced Concrete Frame Structures

In the construction field, reinforced concrete frames with infills are widely used in seismic-prone regions for building constructions either residential or commercial. Infills majorly consist of bricks, tiles, etc. to provide a significant impact on the seismic response of an RC building. Seismic performance measure and improvement of the RC frames remains to be a subject of extensive research.

Finite Element Analysis on Seismic Behavior of Composite Steel

Steel reinforced concrete frame column structure is being used widely in high and large span structures as it has properties to withstand seismic effect and high load carrying capacity. Composite steels are used for the structural construction which is subjected to finite element analysis. FEM helps in predicting failure mode, the capacity of the shear and performance on seismic behavior.

Fiber Reinforced Concrete and its Effect on Buildings

Explore the area of innovative material engineering in civil engineering research, specifically focusing on fiber reinforced concrete. Explore the utilization of fibers as bonding agents to enhance the strength of composite materials for structural design. Investigate the potential of fiber reinforced concrete in high-rise construction, offering opportunities to improve performance through the inclusion of different composite materials. Seek expert guidance in this research subject through PhD topic help in civil engineering.

In need of exceptional research assistance for PhD in Civil Engineering?

Features of civil phd research help.

• Some of the latest PhD research topics in Civil Engineering encompass the exploration of sustainable construction techniques and material innovations to enhance the resilience of infrastructure as discussed here;
• Civil engineering provides scope for research in various fields like construction, material science, transportation, pavement design etc.
• Integrating composite materials on construction fields improves the scope of building withstand ability to various natural calamities.
• Utilization of reinforced plastics with other composites for construction purposes can be an added approach for plastic recycling.
• Advances in composite materials in construction have provided its effect on road payment construction to improve the withstand ability.

Researching in the civil field for the betterment of the society, the candidate has a lot to explore. Our team helps to write and publish the research, to lessen the stress of the scholar.

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Research PhD Topics in Electronics and Communication Engineering

Electronics and communication is the branch of engineering science that is intended to control electron streams in an electrical circuit by rectification and amplification functionalities whereas classical electrical engineering uses the inductance & capacitance to control electron streams (current flow). In short, it is one of the thriving technologies in the recent technical eras. “We are presenting you the most expected pioneering article which is all about PhD topics in electronics and communication engineering”

Electronics and communication engineering is comprised of so many irreplaceable components.  The main objective of this article is to make your thoughts provoke a different perception of curlicue electronics technology. We are dedicating our indispensable efforts to this article to electronics enthusiasts. You can also become a master in these areas by paying your kind attention throughout the article. Now let us begin to focus on the core areas.

Overview of Electronics and Communication

Electronic components are the entities which are interpreting electron flows in every electronic mechanism.  These components are interconnected with the printed circuit boards to generate oscillator, receiver & amplifier-based electronic circuits. Electronic components such as,

• Transistors

These components are usually integrated with complex digital circuits.  Advancements in digital electronics are cannot be fingered in numbers. For example, digital watches, traffic signals, and supercomputers are the best instances of digital electronic circuits. In this regard, let us look into the modern evolution of digital electronics.

Evolution of Digital Electronics

• Transparent Latch & Truth Tables
• State Machines & Sequential Logic
• Logic Synthesis & Simulation
• Karnaugh Maps & Formal Verification
• Digital Circuits & Counters
• De Morgan’s Laws & Boolean Algebra
• Combinational Logic & Binary Decision Diagrams
• Schmitt Triggers & Multiplexers
• Registers & Counters
• Flip-Flops, Logic Gates & Adders
• Metal-Oxide-Semiconductor Field-Effect Transistor
• Field-Programmable Gate Array
• Digital Signal Processor & Memory Chip
• Application-Specific Integrated Circuit
• Microcontrollers & Microprocessors

The above listed are the various branches in which electronic engineering is contributed their vital functionalities to enhance them. As this article is titled with the PhD topics in electronics and communication engineering, we would like the mention the research areas of the same at the beginning itself for the ease of your understanding.

Research Areas in Electronics and Communication Engineering

• Instrumentation & Control Engineering
• Telecommunications Engineering
• Automation & Robotics
• Data Science & IoT
• Embedded Systems & Engineering
• Signal Processing & Communication Systems
• Wireless Communication Technology
• Optoelectronics, Microelectronics & Bioelectronics
• Electronic & Microwave Engineering
• Electrical & Computer Science Engineering
• Information & Communications Processing
• Computer Technology & Digital Circuits

These are the diverse research areas heading their paves and offering so many opportunities to explore more. These technologies are making other models stronger by the application of their significant features in every technique comprised it.

You can make use of our technical team’s assistance here for brainstorming about how electronics and communication engineering is going to help your selected areas of research. In this sense, we could gear up our directions into the next section.

What are the Different Models that benefitted from Electronics and Communication Engineering?

• Heart Beat Monitor
• Plasma Antenna Technology
• Pass-Transistor Dual Value Logic for Low-Power CMOS
• Markov and Hidden Markov Models

Itemized above are the 4 major models which are benefited from electronics and communication engineering in general. We know that it would be really helpful to beginners by explaining these systems. Hence, we are going to make the next section with their corresponding explanations.

• Heartbeat monitors are using IR Receiver (Rx) & IR Transmitter (Tx) by taking biometric inputs from index fingers in the medical field
• A metal element in an electronic system is substituted by plasma antenna which engages ionized gas into the tubes
• Further, it allows radio frequency to transmit signals over the medium when ionized gas charged
• The antenna element will have flopped if ionized gas is not charged as well as voltage application is enabling electrons to flow in a circuit
• Portable devices are in needing very high throughput & low power consumption in every process
• It is highly resulted in designing high-density VLSI chips to ensure several requirements of portable devices
• Markov models are tackling pattern recognition complexities by the application of electronics engineering
• These models are widely used to examine genes, promoter entities, CpG, RNA & as well as DNA patterns

This is how these mentioned models are getting benefited by electronics and communication engineering in real-time. Our researchers in the institute are smart and intellectual individuals who are spontaneously skilled.

They are interacting and encourage the students utilizing directing them to technical areas which are going to help them to grab their dream career opportunities. Right now, we would like to add up some peppers here about how electronics and communication engineering work in general with clear handy notes.

How Does Electronics and Communication Engineering Work?

• Polarization Module & Lightweight Broadband Antenna
• Synthetic aperture radar sensors are powered by the transversal electromagnetic & logarithmic-periodic dipole broadband antennas
• Unmanned aircraft vehicles are placed with broadband antennas and estimated according to the weight, radiation pattern pulse response & matching
• Wideband Microwave Power Module
• It is the integrated module of vacuum tube & solid-state electronics that is aimed to increase (amplify) radio frequency signal levels
• As well as they are enfolding EPC, TWTA & SSPA within the solitary unit and they are widely used in,
• Military & Defense Satellite Communications
• Dynamic Phased Array of Antennas
• Synthetic Aperture Radars & Transmitters

These are 2 modules mainly involved in the working process of electronics and communication engineering. In fact, without wideband and lightweight broadband modules, the electronic system cannot execute its processes in a better manner.

At this time of the technical era, so many trends are injected into electronics and communication engineering technology. Yes, we are going to let you know some interesting current trends presented in the same technology for making your perceptions wise.

Current Trends in Electronics and Communication Engineering

• This technology is vigorously involving with communication antennas research
• It is transmitting data over the infrared lights in a bidirectional way
• Enlarges the bandwidth and network speed by multiplying 4G, 3G & Wi-Fi
• It allows the digital users to connect with the internet and smart devices
• It can connect with longer cables and allows to access other electromagnetic generators
• This technology is making supercomputers with human analytical skills
• For interacting with humans (as human interaction with other individuals)
• Used in the airlines for communicating with broadband & wireless narrowband
• Microchips in Gi-Fi offer multi-gigabit data transmission with short-range

The foregoing passage has revealed to you some of the current trends in electronics and communication engineering. Researching is an art and not everyone is Picasso of it. However, you can become a master in research by continuously putting in your hard work.

In the following passage, we have wrapped several exciting PhD research ideas in electronics and communication engineering for your valuable consideration. Shall we get into that section? Come on!!! Let’s grab them.

Research Ideas for Electronics and Communication Engineering

• Urban Area based 5G Communication Networks
• MEMS Sensors & Systems
• Nano Devices with Microchips
• Software-Defined Wireless System Evaluation

These are the innovative research ideas that can be further explored with the help of skilled developers and researchers. When doing PhD studies, you need to choose the exact research topic in which you are strong.

Many scholars are failing to select the correct research topic. For this, you can avail our mentors’ assistance freely to know about trending electronics and communication engineering journals list . Students are given various options such as they can choose one of the given topics or they can even choose topics as per our technical crew’s instructions.

To be honest, we are suggesting every student handpick the latest topics in emerging technologies with phd thesis writing services .  Here is a tip for you! Try to make questions on the issues that arise in your research topic and make the interesting issues to frame your PhD topics. In this regard, we wanted to mention the latest topics in electronics and communication.

What are the Latest Topics in Electronics and Communication?

• Infrared Communications
• VLSI Implementation by OFDM
• WLAN in Automated Vehicles
• corDECT Wireless in Local Loop System
• Wearable & IoT Computing
• Linux Clusters with Parallel File System
• Digital Image Processing
• Speech Recognition
• Visible Light Communication
• Smart Sensors
• Communication Channel Testing
• IR & RF Waveforms Experimentations
• Integrated Back Haul & Front Haul Systems
• Testing Samples on Signals
• Simulating Interfaces in Hardware
• Application of CRO in Active Frequency of Output
• Testing using Antenna, Radar & Sonar

Here CRO stands for Cathode Ray Oscilloscope.  These are some of the possible topics in electronics and communication engineering. As our technical team is concerned with the student’s understanding, they are always lending their helping hands to them by means revealing every aspect of research. Hence, they would also like to highlight some simulation tools used in electronics and communication engineering technology.

Simulation Tools for Electronics and Communication

• Matlab or Simulink
• NS 2 or NS 3

The aforementioned are some of the simulation tools used in electronics and communication engineering. As our researchers concentrated on the student’s welfare, we wanted to explain at least one of the listed simulation tools for paving your understanding better. That is none other than, that we are going to illustrate how to simulate IoT devices using the COOJA simulator .

How to Simulate IoT Devices using COOJA Simulator?

• IoT is the intellectual and embedded system in which sensors, interfaces, hardware, and software are interconnected to exchange data
• Contiki system of wireless sensor networks are simulated by the COOJA’s Contiki Mote and they are controlling the whole architecture
• Contiki Mote compilers are performed as a load and sharing library in Java programming languages

This is how the IoT devices are simulated by the COOJA simulator. Apart from this, signals in IoT devices are significantly stimulated by Matlab tools. Do you know, How to simulate signal processing using Matlab? If you don’t know! Don’t cringe. We are going to illuminate you the same in the immediate section.

How to Simulate Signal Processing using Matlab?

• Primarily, Matlab is acquiring raw signals and then they are analyzing, preprocessing and extracting features in it
• Matlab tools are dynamically performing power spectrum evaluation, smoothing, & resamples filtered signals
• Particularly, they are very competent in extracting signal patterns and their similarities
• Even they are capable in measuring SNR oriented signal misrepresentations
• Matlab is using signal analyzer application to analyze and preprocess the various signals instantaneously without scripting any codes
• In addition, they are facilitating the users to customize the digital filters with the help of filter design application

This is how the signal processing in IoT devices is simulated under the Matlab tool. We are concerned with dynamic researchers who are showcasing their indispensable contributions to make the research paper’s quality with high standard levels.

Our experts have engaged them in various activities. One among them is reading habit. Yes, we habitually read and examine top journals published with every phase of technology (for example robotics journals list ). In addition, we are also suggesting you, people, read journals at least periodically. Finally, we would like to highlight some of the latest and emerging technologies in electronics and communication engineering.

What are the Latest Technologies in Electronics and Communication?

• Smart & Intellectual Energy Systems
• Computerized Industries
• Robotics & Automation
• Self-directed Drone Mechanisms
• Man-less Driving Systems

So far, we have come up with the essential areas of PhD topics in electronics and communication engineering and other concepts. Are you wondering about this technology? There are so many interesting fields that are yet too said. If you are interested in knowing about them, then you can feel free to approach our academics at any time.

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A Beginner’s Guide to Top 3 Best PhD Research Topics for 2024-25

Starting a PhD journey is exciting but picking the right research topic can be tough. In this guide, we’ll explore the top three best PhD research topics for 2024-25. We’ll also share tips on how to choose a PhD topic that fits your interests and academic goals. Figuring out how to choose a research topic for a PhD may seem tricky, but we’re here to help simplify it for you. 

Selecting the right research topics in commerce for PhD is crucial as it defines the trajectory of your academic journey. A well-chosen topic aligns with personal interests, contributes to existing knowledge, and enhances career prospects. Thorough consideration ensures a meaningful and impactful research endeavor in the dynamic field of commerce and also in research topics in computer science for phd in software engineering.

Whether you’re into advanced technology, groundbreaking science, or social issues, this “how to choose a phd topic” guide will give you the know-how to make a smart decision. Join us as we unravel the mystery of picking strong and meaningful research topics for phd in commerce and in other fields. Let’s make your academic journey a bit smoother together.

How to Choose a PhD Topic?

The ways to how to choose a research topic for PhD is described below:

a) Identify Personal Interests:   ~ Explore topics aligning with your passion within the broader scope of research topics in commerce for PhD.

b) Assess Available Resources: ~ Ensure access to relevant literature, data, and support for your chosen research area.

c) Consider Academic Significance:   ~ Choose a topic that contributes to existing knowledge, addresses gaps, and showcases your intellectual engagement.

d) Consult with Mentors:  

~ Seek guidance from academic mentors to refine your ideas and receive valuable insights.

Research Topics in Commerce for PhD

Let us know how to write innovative research topics in commerce for PhD:

i) Explore Personal Interests: Identify areas within commerce that genuinely interest you.

ii) Review Current Literature: Analyze existing research to discover gaps or emerging trends.

iii) Consult with Advisors: Seek guidance from academic advisors for potential research directions.

iv) Consider Industry Relevance: Look into topics with practical applications and relevance to the business world.

v) Evaluate Resource Availability: Ensure access to necessary data, literature, and support for your chosen topic.

vi) Stay Informed: Keep abreast of current events and advancements in commerce for inspiration and relevant research ideas.

vii) Networking: Engage with peers, professionals, and experts in the field for valuable insights and potential research collaborations.

Research Topics for PhD in Commerce

Now, let’s dive into the best research topics for phd in commerce for 2024-25:

i) Financial Technology (FinTech) Innovations:  

~ Explore the impact of emerging technologies like blockchain and AI on financial systems and services.

ii) Sustainable Business Practices:  

~ Investigate strategies for integrating sustainability into commerce, considering environmental, social, and economic aspects.

#PhD Research Topics in Computer Science

The phd research topics in computer science is described below:

i) Machine Learning for Software Testing Automation: Explore advanced machine learning techniques to enhance automation in software testing processes.

ii) Security and Privacy in Cloud Computing: Investigate novel methods to bolster security and privacy measures in cloud computing environments.

iii) Natural Language Processing for Code Generation: Explore the application of natural language processing in generating code snippets and improving software development efficiency.

#Research Topics in Computer Science for PhD in Software Engineering

The trending research topics in computer science for phd in software engineering is described below:

How to Choose a Research Topic for PhD in Computer Science:

i) Identify Personal Interest: Align the topic with your passion and career goals.

ii) Assess Academic Significance: Opt for a topic that contributes to existing knowledge and addresses gaps in the field.

#PhD Research Topics in Computer Science:

i) Quantum Computing Algorithms: One of the phd research topics in computer science is exploring novel algorithms for quantum computers.

ii) Cybersecurity in IoT: Focus on securing Internet of Things devices and networks.

# Research Topics in Computer Science for PhD in Software Engineering:

i) DevOps in Software Development: Examine the integration of DevOps practices for efficient and collaborative software development.

ii) Software Testing Automation: Explore advancements in automated testing techniques to ensure software quality.

Now, let us dive into the Top 3 Best PhD Research Topics for 2024-25 which can help you to jumpstart your research. 

# Quantum Computing and Its Applications

i)Pioneering Technological Frontier: Quantum computing stands at the forefront of technological innovation, offering unparalleled potential to revolutionize computation, making it an exciting and cutting-edge field.

ii) Interdisciplinary Impact: Its applications span various domains, including finance, logistics, and healthcare, providing an interdisciplinary playground for researchers, appealing to a broad range of interests.

iii) Future-Proofing Research: Choosing a research topics for phd in commerce and also in other fields involves foreseeing its relevance in the future. Quantum computing’s rapid advancements ensure a continuously evolving landscape, making it a future-proof research choice.

iii) Role of Literature Review: Understanding the role of literature review in research is pivotal when delving into quantum computing. A thorough review will uncover gaps, guide methodologies, and position the research within the broader context of existing knowledge.

# Climate Change Mitigation Strategies

i) Climate change mitigation is a critical concern globally, making it an impactful and socially relevant research topic for PhD candidates.

ii) This topic transcends disciplines, attracting researchers from diverse fields, including commerce, computer science, and software engineering, fostering collaboration and a holistic approach to solutions.

iii) Within research topics for PhD in commerce, climate change mitigation strategies offer opportunities to investigate the economic impact of green technologies, sustainable practices, and policy interventions on businesses and industries.

# Data Science for Healthcare and Precision Medicine

i) High Impact on Society:  

Data Science for Healthcare and Precision Medicine is a top PhD research topic due to its potential to revolutionize healthcare, making it socially relevant and impactful on a global scale.

ii) Interdisciplinary Nature:  

This topic seamlessly integrates with various disciplines, attracting researchers not only from healthcare but also from commerce, computer science, and software engineering, fostering collaborative and comprehensive solutions.

iii) Advancements in Commerce and Healthcare:  

Within research topics for PhD, the application of data science in healthcare has significant implications. 

Final Thoughts

In closing our guide to the best PhD research topics for 2024-25, we’ve explored exciting possibilities for new researchers on how to choose a phd topic. Figuring out how to choose a research topic for PhD is a big deal, and we’ve looked at options that suit different interests and academic goals.

Whether you’re into commerce, computer science, or research topics in computer science for phd in software engineering, these top research topics provide a great starting point. Choosing a research topics in commerce for PhD involves connecting your interests with important academic stuff, making sure you have what you need, and being ready for things to change.

As you start this journey, whether it’s in commerce, computer science, or software engineering, enjoy the chances to work with different areas and come up with new ideas if you want to know how to choose a research topic for PhD. May your PhD adventure be full of learning and making a difference as you dive into research in 2024-25!

PhDthesis.in plays a pivotal role in assisting PhD researchers during the crucial phase of topic consultation and topic selection for their research . Here’s how it supports scholars who want to know how to choose a phd topic :

i) Expert Guidance : The platform recognizes the critical significance of a well-defined research topic. It ensures that researchers choose a topic that is neither too broad nor too narrow. By offering expert consultation, it helps scholars identify captivating and unique topics that align with their academic interests.

ii) Literature Review and Gap Analysis : PhDthesis.in reviews existing literature, identifying gaps and areas for exploration. This process ensures that the selected topic contributes meaningfully to the research landscape. Scholars receive personalized suggestions based on their skill set and career aspirations.

iii) Proposal Foundation : A strong proposal begins with a competent topic. PhDthesis.in assists researchers in formulating research problems that lead to manageable and impactful studies. By providing well-researched and interesting topic ideas, it sets the foundation for remarkable research work .

a) How would I determine whether the topic of my PhD is interesting?

Ans. Interest is subjective; if your PhD topic engages you and aligns with your goals, it’s likely interesting.

b) How did you eventually decide the topic of your PhD thesis?

Ans. After careful consideration of my interests, academic gaps, and future impact.

c) Can you change your PhD topic?

Ans. Yes, you can change your PhD topic with proper approval from your academic advisor.

d) Can two students get their PhD on one thesis topic?

Ans. Typically, two students can pursue PhDs on the same thesis topic with distinct contributions.

e) Should I seek a PhD in a field I have no interest in?

Ans. It’s advisable to pursue a PhD in a topic that genuinely interests you for a more fulfilling journey.

f) Is it possible to choose your own PhD topic in engineering?

Ans. Yes, you can often choose your own PhD topic in engineering with approval from your advisor.

g) What are the hottest PhD research topics?

Ans. Hottest PhD research topics vary, but data science, artificial intelligence, and sustainable energy are currently popular.

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[100+] Mechanical Engineering Research Topics For College Students With Free [Thesis Pdf] 2022

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PhD Research Topics in Communication Engineering

“Communicating Things in Networks will play a major role in future smart environs.”  Our experts will guide you from top to bottom in this field in the long run of your PhD.

PhD research topics in communication engineering  are one of the best services in the research battle. In point of fact, we assist scholars who are in search of reliable PhD/MS service.

If you are in need of liable guidance, then we are the apt choice for you. We assure you that work is good and transparent in all aspects. In the last part, you will find that our work fulfills your needs.

Up-to-date Topics of research topics in communication engineering

Popular areas.

• UWB Technology
• CR based Small Cell System
• Softwarized and also Virtualized Networks
• Underwater and also Underground Interaction
• D2D Cellular Data Transmission
• Inter-Vehicle Message Sharing
• Molecular MIMO Communication

Currently Working Areas

• Radio over Fiber Technology
• Sobriety in Industrial Automation
• Green Cloud RAN
• Sustainable ICT Systems
• Self-Configuring Mobile Things
• And also Context-Aware Networks

In all the above fields, our research team will inspect and find the research gap. In order to fulfill this gap, we will give inch by inch assist in theoretical info. As it happens, our aim is your satisfaction, so we are also clear as crystal for you. In any case,  PhD research topics in communication engineering  often update your work status in each stage.

For the most part, a fine proposal brings 50% of success while good execution takes you to the top of the success…

Are you getting worried about the issues in execution? Just get rid of your trouble by binding with us. Our developers are ready to execute your research idea in any challenging simulation tool .

Here, we have brought new communication engineering research titles from communication engineering,

A novel study function of Statistical QoS-driven power adaptation for distributed caching based mobile offloading over 5G wireless networks

An effective process of Context-Aware Mobile Edge Computing in Vehicular Ad-Hoc Networks

An innovative process of V2V Data Offloading for Cellular Network Based on SDN Inside MEC Structural design system

A new mechanism for Modeling Optimal Retransmission Timeout Interval for Bundle Protocol

A novel method for Deep Learning Midcourse Guidance intended for Interceptor Missile scheme

An effective function of Optimal and Fast Real-Time Resource Slicing With Deep Dueling Neural Networks

An innovative function for Deep-Reinforcement Learning Multiple Access for Heterogeneous WNs

An effective function of  Deep Learning Model Generation Framework used for Virtualized Multi-Access Edge Cache Management system

An inventive design process of Applications of Deep Reinforcement Learning in Communications and Networking

A new source of  deep reinforcement learning based offloading scheme in ad-hoc mobile clouds

A novel study for Deep Reinforcement Learning Optimal Transmission Policy for Communication Systems With Energy Harvesting and Adaptive MQAM system

An effectual mechanism for Visual Analytics Approach to Understand Deep Q-Networks

An innovative performance for N-Look Ahead Routing and Scheduling  based on DTN Space Networks

An inventive process of Buffer-Aware Streaming in Small Scale Wireless Networks: A Deep Reinforcement Learning Approach

The new-fangled mechanism for Deep Learning Meets Game Theory for Interactive Deep Generative Adversarial Networks

An effectual function of Optimized Input for CNN-Based Hyperspectral Image Classification Using Spatial Transformer Network

A competent method for Cooperative Communications with Relay Selection based on Deep Reinforcement Learning in WSNs

An innovative method for  Secure Mobile Crowdsensing Game With Deep Reinforcement Learning

A new source of Deep Learning vs. Discrete Reinforcement Learning designed for Adaptive Traffic Signal Control system

An efficient mechanism for Deep Reinforcement Learning based User Association and Resource Allocation in Heterogeneous Networks scheme

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5 Research Topics for a Master’s in Industrial and Systems Engineering Student

Research Topics for a Master's in Industrial and Systems Engineering Student

Analytics and statistics, optimization, production and logistics, modeling and simulation.

The job of an engineer, regardless of their particular specialization, is to eliminate waste from a traditional industry or digital software process. They use the ever-advancing state of modern technology to develop new and more efficient ways of accomplishing important tasks, saving big corporations and government agencies billions of dollars each year worldwide. Industrial and systems engineering represent  steadily growing fields  of professional expertise, offering significantly more opportunities for future graduates as today's technology continues to advance.

Resource:  30 Best Online Master's in Industrial or Systems Engineering Degrees

When pursuing a Master's degree in engineering, a student will be required to complete various research projects. Here are five popular topics which are directly relevant to the various possible career paths of the industrial and systems engineer:

This subject is concerned with the methods and technologies used in data science. It involves the reliable storage and transmission of information, data security, and the analysis and extraction of relevant data from a larger set. More efficient methods of analyzing, storing, and recalling data are constantly being developed, and engineers within this specialized field save many large corporations millions of dollars annually.

Many people don't think about finances when it comes to the applications of this particular skill set, but the world of finance and econometrics involves many of the same abilities. Financial engineers rely upon their knowledge of mathematics, economics and computer science to develop more refined ways of managing financial risks, securing financial transactions, and making a wide range of financial processes much more intuitive and easy to understand.

This software specialty relates to the design and implementation of software algorithms, which are capable of both gathering and processing data. The internet is run largely by algorithms, which allow for hitherto unprecedented extents of automation, and are a key player in the ongoing development of artificial intelligence software. Research into optimization represents one of the most potentially groundbreaking (and lucrative) specialties in software development.

Production and logistics is a combined area of focus for many engineers, including students pursuing their Master's degree. Together, these subjects cover the full range of product development, supply chain management, and support services. This is a strong field for traditional engineers, as the drive to develop faster and more efficient ways of getting a product from the assembly line to the consumer will always be ongoing.

This area of focus is the specialized field of "meta-engineers." Most engineers develop faster, more efficient ways of doing things; in stochastic modeling and simulation, however, the focus is on developing faster and more efficient ways for other engineers to carry out their jobs. A focus on this topic revolves around the development of more accurate and advanced forms of digital modeling and simulation, so as to better refine the processes on which engineers (including the modelers themselves) rely.

By carefully selecting a currently viable research topic to go along with your engineering career path, you can boost the value of your Master's degree once you've completed your graduate program. Smart decisions here will help your qualifications to stand out from those of other engineers, and highlight your personal abilities in your preferred field of specialization.

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Research Topics Applied and Engineering Physics

Research Area/ Research Interest: Applied and Engineering Physics

Research Paper Topics for:  Masters and PhD Thesis and publication

• FRACTIONAL DERIVATIVE MODELING IN MECHANICS AND ENGINEERING.
• Partnership for eXtreme Xtallography (PX2)—A state-of-the-art experimental facility for extreme-conditions crystallography: A case study of pressure-induced phase …
• Static and dynamic diamond anvil cell (s-dDAC): A bidirectional remote controlled device for static and dynamic compression/decompression
• New opportunities for nuclear and atomic physics on the femto-to nanometer scale with ultra-high-intensity lasers
• Emission of fused silica and KBr samples in the UV and visible spectral ranges under irradiation with 2.7 MeV electrons
• Theoretical investigations on x-ray transport in radiation transport experiments on the Shenguang-III prototype laser facility
• Simultaneous high-resolution x-ray backlighting and self-emission imaging for laser-produced plasma diagnostics using a two-energy multilayer Kirkpatrick–Baez …
• Generation of single-cycle relativistic infrared pulses at wavelengths above 20 µm from density-tailored plasmas
• Recent progress in matter in extreme states created by laser
• Porous Au–Ag Nanoparticles from Galvanic Replacement Applied as Single‐Particle SERS Probe for Quantitative Monitoring
•  Physics in Laboratory. Experiments for Engineering Physics Courses
• Detailed characterization of a laboratory magnetized supercritical collisionless shock and of the associated proton energization
• Solitary waves described by a high‐order system in optical fiber Bragg gratings with arbitrary refractive index
•  Plasma Physics Modern Issues
• Cooling capacity optimization of hydrocarbon fuels for regenerative cooling
• Photon polarization effects in polarized electron–positron pair production in a strong laser field
• Physics-Informed Multifidelity Residual Neural Networks for Hydromechanical Modeling of Granular Soils and Foundation Considering Internal Erosion
• Elucidating the reaction pathway of crystalline multi-metal borides for highly efficient oxygen-evolving electrocatalysts
•  Advanced Problems in Plasma Physics
• Determination of Glucose in Human Serum Using Background Subtraction of Cyclic Voltammetry of a Low Oxidation Peak at NiO Based Electrode
• Physics-informed regularisation procedure in neural networks: An application in blast protection engineering
• A physics-informed variational DeepONet for predicting crack path in quasi-brittle materials
•  Data-driven science and engineering: Machine learning, dynamical systems, and control
• Numerical investigation of spallation neutrons generated from petawatt-scale laser-driven proton beams
• Coupled thermo-hydro-mechanical modelling for geothermal doublet system with 3D fractal fracture
• A novel magnetic cooling device for long distance heat transfer
• Analyses of internal structures and defects in materials using physics-informed neural networks
• Cubic rank transmuted generalized Gompertz distribution: properties and applications
• Giant Red‐Shifted Emission in (Sr,Ba)Y2O4:Eu2+ Phosphor Toward Broadband Near‐Infrared Luminescence
• X-ray dual-spectrum imaging produced by femtosecond laser
• Cross-section measurements of (n, 2n) and (n, p) reactions on 124,126,128,130,131,132 Xe in the 14 MeV region and theoretical calculations of their excitation …
• A control-oriented scalable model for demand side management in district heating aggregated communities
• Utilising Fractional Porous Interface for High Thermal Performance of Serpentine Wavy Channel Solar Air Heater
• Optoelectronic Physics and Engineering of Atomically Thin Photovoltaics
• On physics-informed data-driven isotropic and anisotropic constitutive models through probabilistic machine learning and space-filling sampling
• Fluid film characteristics over horizontal multi-faceted tube and the augmentation of thermal performance
• Temperature-based analysis of droplet cooling and freezing on femtosecond laser textured surfaces
• Pressure effects on the thermal decomposition of the LLM-105 crystal
• Physics-Informed Neural Networks with Adaptive Localized Artificial Viscosity
• Importance of long-term ground-loop temperature variation in performance optimization of Ground Source Heat Pump system
• Influence of Groundwater Heat Pump system operation on geological environment by Hydro-Thermal-Mechanical-Chemical numerical model
• Performance analysis of aqueous LiCl and CaCl2 based falling film dehumidifier with surface modification
• Insights into the Metal–CO Bond in O2M(η1-CO) (M = Cr, Mo, W, Nd, and U) Complexes
• Innovations in pulsating heat pipes: From origins to future perspectives
• Multi-objective lichtenberg algorithm: A hybrid physics-based meta-heuristic for solving engineering problems
• Toward a Reliability Approach Decision Support Tool for Early System Design: Physics of Failure vs. Historical Failure Data
• Respecting causality is all you need for training physics-informed neural networks
• Numerical investigation on turbulent flow and heat transfer characteristics of ferro-nanofluid flowing in dimpled tube under magnetic field effect
•  Dispersive dromions, conserved densities and fluxes with integrability via P-test for couple of nonlinear dynamical system
• Micro/nanoscale surface on enhancing the microchannel flow boiling performance: A Lattice Boltzmann simulation
• Recent advances on the thermal properties and applications of nanofluids: From nanomedicine to renewable energies
• Use of 3D mathematical modelling to understand the heat transfer mechanisms during freeze-drying using high-throughput vials
• Robust and general predictive models for condensation heat transfer inside conventional and mini/micro channel heat exchangers
•  A weather forecast-based control for the improvement of PCM enhanced radiant floors
• Off-design modeling of a microturbine combined heat & power system
• Thermo-hydraulic performance of tube with decaying swirl flow generators
• Dynamic simulation and experimental performance of an adsorbed natural gas system under variable charging conditions
• gLaSDI: Parametric Physics-informed Greedy Latent Space Dynamics Identification
• Engineering the harmonic generation in graphene
•  Integration of data-driven and physics-based modeling of wind waves in a shallow estuary
• Performance optimisation of microchannel pin-fins using 2D CFD
• Experimental and numerical investigations on heat transfer and flow behavior of flow blockage in narrow rectangular channel with protrusions
•  High-Intensity Lasers for Nuclear and Physical Applications
• Solitary wave solutions along with Painleve analysis for the Ablowitz–Kaup–Newell–Segur water waves equation
• Ratio of water/fuel concentration in a group of composite droplets on high-temperature heating
•  Abundant closed-form wave solutions and dynamical structures of soliton solutions to the (3+ 1)-dimensional BLMP equation in mathematical physics
• Fountain Fringe Field Switching (FFFS) for Wide Viewing Angle LCDs
• Optimizing the coupling structural parameters of composite porous vapor chamber with radial grooves based on design of experiment and response surface
• Performance and operating modes of a thermal-lag Stirling engine with a flywheel
• Temperature control of vibrating heat-generating hardware using spray evaporative cooling in the nucleate boiling region
• Tunable bilayer Hubbard model physics in twisted WSe2
• Structural modification from centrosymmetric Rb 4 Hg 2 Ge 2 S 8 to noncentrosymmetric (Na 3 Rb) Hg 2 Ge 2 S 8: mixed alkali metals strategy for infrared nonlinear …
• Discrete Bidirectional Associative Memory Neural Networks of the Cohen–Grossberg Type for Engineering Design Symmetry Related Problems: Practical Stability of …
• Precise laser pulse shaping technology and application with high energy stability
•  Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East (AFE-2021): Agricultural Innovation Systems, Volume 2
• Performance analysis of pinnate horizontal well in enhanced geothermal system
• Effect of various multiple strip inserts and nanofluids on the thermal–hydraulic performances of parabolic trough collectors
• Reduction of dislocation density in lattice-relaxed Al0. 68Ga0. 32N film grown on periodical 1 μm spacing AlN pillar concave-convex patterns and its effect on the …
• A comprehensive review of micro-scale expanders for carbon dioxide related power and refrigeration cycles
• Hyers-Ulam-Rassias stability of high-dimensional quaternion impulsive fuzzy dynamic equations on time scales
• In situ measurement of heat transfer coefficient and solar aperture of insulated dwellings using the dynamic integrated method
• Review of air disinfection approaches and proposal for thermal inactivation of airborne viruses as a life-style and an instrument to fight pandemics
•  The Effect Of Low-Level Laser In The Growth And Biological Activities Of Bitter Melon
• Efficient reduced order model for heat transfer in a battery pack of an electric vehicle
• Revealing the Relationship between Electric Fields and the Conformation of Oxytocin Using Quasi-Static Amide-I Two-Dimensional Infrared Spectra
• Scale modeling study of airflow distribution uniformity in large spaces with high heat flux
• Effect of polypropylene molecular weight distribution on the balance between the toughness and rigidity of the impact polypropylene composites
• A physics-based metaheuristic algorithm based on doppler effect phenomenon and mean euclidian distance threshold
• Measurement of the Groomed Jet Radius and Momentum Splitting Fraction in and Pb-Pb Collisions at
• Physics and Modeling of Large Flow Disturbances: Discrete Gust Encounters for Modern Air Vehicles
• Rapid synthesis of Li4Ti5O12 as lithium‐ion battery anode by reactive flash sintering
•  Design at Scale in a First-Year Transdisciplinary Engineering Design Course
• Rapid CO2 laser processing technique for fabrication of micro-optics and micro-structures on fused silica materials
• Magnetic Force Microscopy in Physics and Biomedical Applications
• A research of Micro-pulse tube cryocooler with displacer phase shifter
• Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems
• Realization of 18.97% theoretical efficiency of 0.9 μm thick c-Si/ZnO heterojunction ultrathin-film solar cells via surface plasmon resonance enhancement
•  Deep physical neural networks trained with backpropagation
• A novel sequential method to train physics informed neural networks for Allen Cahn and Cahn Hilliard equations
• Application of a mixed variable physics-informed neural network to solve the incompressible steady-state and transient mass, momentum, and energy conservation …
• An engineering model for high-speed switching in GeSbTe phase-change memory
•  Development A Low-Cost Electrical Impedance Tomography System For Non-Invasively Detecting Abnormal In Breast Tissue-Phantom Study
• Experimental investigations on the thermal superposition effect of multiple hotspots for embedded microfluidic cooling
• Urban-Scale Energy Models: The relationship between cooling energy demand and urban form
• Enhanced Seismic Response Prediction of Critical Structures via 3D Regional Scale Physics-Based Earthquake Simulation
•  Computational techniques to study the dynamics of generalized unstable nonlinear Schrödinger equation
• Effectiveness of aviation kerosene pool fire suppression by water mist in a cargo compartment with low-pressure environment
• Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems
• Interfacial Engineering of PTAA/Perovskites for Improved Crystallinity and Hole Extraction in Inverted Perovskite Solar Cells
•  A method for calculating underwater explosion shock wave parameters of slender cone-shaped charges
• Two-phase flow distribution in parallel flow mini/micro-channel heat exchangers for refrigeration and heat pump systems: A comprehensive review
• An integrated approach for designing Joule-Thomson refrigerators operating with mixtures
• Bandgap engineering in TiO2/rGO 1D photonic metasurfaces as broadband solar absorber
• PhyCRNet: Physics-informed convolutional-recurrent network for solving spatiotemporal PDEs
•  Physics-informed linear regression is competitive with two Machine Learning methods in residential building MPC
•  Nuclear Inst. and Methods in Physics Research B
•  Classification of Stages Diabetic Retinopathy Using MobileNetV2 Model
• Researches on the performance of GaN-PIN betavoltaic nuclear battery
• MHD quadratic mixed convective Eyring-Powell nanofluid flow with multiple diffusions
• Combined machine learning and physics-based models for estimating fuel consumption of cargo ships
• Enforcing exact physics in scientific machine learning: a data-driven exterior calculus on graphs
• Investigation on High-Efficiency Beam-Wave Interaction for Coaxial Multi-Beam Relativistic Klystron Amplifier
• Growth of PbTe nanowires by molecular beam epitaxy
• A semi‐analytical approach for fractional order Boussinesq equation in a gradient unconfined aquifers
• Electrospinning research and products: The road and the way forward
• Quantum control of molecules for fundamental physics
• Principle and numerical demonstration of high power all-fiber coherent beam combination based on self-imaging effect in a square core fiber
• Hopf bifurcations in electrochemical, neuronal, and semiconductor systems analysis by impedance spectroscopy
• Cu2+ and Cu3+ acceptors in β-Ga2O3 crystals: A magnetic resonance and optical absorption study
• Flow and heat transfer in a novel convex cooling roller with axial variable boundary for planar flow casting
• Electron transport layer engineering with rubidium chloride alkali halide to boost the performance of perovskite absorber layer
• Design and parameter study of a thermoelectric generator for waste heat recycling in flexible micro-light-emitting diodes
•  Impulsive Systems with Delays
• Negatively bias driven enhancement in piezo response for self-powered biomedical and facial expression sensor
•  ORBITAL STABILITY OF SOLITARY WAVES FOR THE NONLINEAR SCHRÖDINGER-KDV SYSTEM
• Data-driven models for vessel motion prediction and the benefits of physics-based information
• Cubic boron nitride as a material for future electron device applications: A comparative analysis
• Exact imposition of boundary conditions with distance functions in physics-informed deep neural networks
• Statistical properties of pressure-Hessian tensor in a turbulent channel flow
• Uniaxial strain-induced electronic property alterations of MoS2 monolayer
• A universal chemical-induced tensile strain tuning strategy to boost oxygen-evolving electrocatalysis on perovskite oxides
•  Analysis of three-dimensional potential problems in non-homogeneous media with physics-informed deep collocation method using material transfer learning …
• Theoretical screening into Ru-doped MoS2 monolayer as a promising gas sensor upon SO2 and SOF2 in SF6 insulation devices
• Molecular dynamic simulations of plasticity and phase transition in Mg polycrystalline under shock compression
• Reproducibility in the fabrication and physics of moiré materials
• Observation of domain structure in non-collinear antiferromagnetic Mn3Sn thin films by magneto-optical Kerr effect
• A perspective on elastic metastructures for energy harvesting
• Boosted efficiency and lifetime of perovskite quantum dots light-emitting diode via NiOx/PEDOT:PSS dual hole injection layers
• Spintronic sources of ultrashort terahertz electromagnetic pulses
• Machine learning-assisted low-frequency and broadband sound absorber with coherently coupled weak resonances
• Bandgap and electrochemical engineering for disordered LaFeO3
• Physics augmented classification of fNIRS signals
• Prediction of porous media fluid flow using physics informed neural networks
• A multiple-floating-zone-assisted graded-step-JTE for high-voltage 4H-SiC GTO thyristor
• Prospect and challenges of analog switching for neuromorphic hardware
• Study of sacrificial ink-assisted embedded printing for 3D perfusable channel creation for biomedical applications
• Topological optimization of the stiffness of an irregular structure based on an element size independent filter
•  A Universal Power-law Prescription for Variability from Synthetic Images of Black Hole Accretion Flows
• Starling murmuration optimizer: A novel bio-inspired algorithm for global and engineering optimization
• Thermal nanoimprint lithography of sodium hyaluronate solutions with gas permeable inorganic hybrid mold for cosmetic and pharmaceutical applications
• Improved f T/f max in wide bias range by steam-annealed ultrathin-Al2O3 gate dielectrics for InP-based high-electron-mobility transistors
• The role of surface pretreatment by low temperature O2 gas annealing for β-Ga2O3 Schottky barrier diodes
• Visualization of depletion layer in AlGaN homojunction p–n junction
• Time-domain dynamic electric field distribution of low-oscillation sculptured structure dispersive mirrors
• Strain engineering of ion migration in LiCoO2
• Physics constrained learning for data-driven inverse modeling from sparse observations
• Flexible, High Scintillation Yield Cu3Cu2I5 Film Made of Ball‐Milled Powder for High Spatial Resolution X‐Ray Imaging
• Computer simulation modelling of the simultaneous adsorption of Cd, Cu and Cr from aqueous solutions by agricultural clay soil: A PHREEQC geochemical modelling …
• Work function tunable laser induced graphene electrodes for Schottky type solar-blind photodetectors
• Study on denitration performance of MnO2@ CeO2 core-shell catalyst supported on nickel foam
• Coarse-grained modelling out of equilibrium
• Cluster synchronization in a network of nonlinear systems with directed topology and competitive relationships
• Intravital Imaging of the Murine Subventricular Zone with Three Photon Microscopy
• Negative thermal expansion of two-dimensional magnets
• Cavity quantum materials
•  Symmetry analysis, closed-form invariant solutions and dynamical wave structures of the generalized (3+ 1)-dimensional breaking soliton equation using …
• Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What’s next
• Improved sintering and impedance studies of CuO-doped multiferroic (0.98 Ba0. 85Ca0. 15)(Zr0. 1Ti0. 9)· O30. 02BiFeO3 ceramics
• Experimental error mitigation using linear rescaling for variational quantum eigensolving with up to 20 qubits
• Nuclear physics
• A rigid cylinder of a thermoelastic magnetic semiconductor material based on the generalized Moore–Gibson–Thompson heat equation model
•  Some solutions for a stochastic NLSE in the unstable and higher order dispersive environments
• Maximizing information from chemical engineering data sets: Applications to machine learning
•  An elastic rod in frictional contact with a rigid cylinder
•  A novel and efficient method for obtaining Hirota’s bilinear form for the nonlinear evolution equation in (n+ 1) dimensions
• … Chaotic Maps and Gravitational Search Algorithm for Constrained Mechanical and Civil Engineering Design Frameworks: CGSA for Mechanical and Civil Engineering …
• Impact of a science and technology strategy on the learning of physics
• Formation of tungsten carbide by focused ion beam process: A route to high magnetic field resilient patterned superconducting nanostructures
• Theoretical and practical engineering significance of British pendulum test
• Size-dependent continuum-based model of a truncated flexoelectric/flexomagnetic functionally graded conical nano/microshells
• Spatiotemporal chaos in diffusive systems with the Riesz fractional order operator
• Structural characters and band offset of Ga2O3–Sc2O3 alloys
• Predicting Physics in Mesh-reduced Space with Temporal Attention
• Dipolar excitonic insulator in a moire lattice
• Performance and interactions of diclofenac adsorption using Alginate/Carbon-based Films: Experimental investigation and statistical physics modelling
• Time-Fractional Approach to the Electrochemical Impedance: The Displacement Current
• Surface passivation of halide perovskite nanocrystals for stable and high purity color conversion
• On new abundant exact traveling wave solutions to the local fractional Gardner equation defined on Cantor sets
• Robust surface with thermally stable hydrophobicity enabled by electrosprayed fluorinated SiO2 particles
• A generalized hybrid smoothed particle hydrodynamics–peridynamics algorithm with a novel Lagrangian mapping for solution and failure analysis of fluid–structure …
• To fall or not to fall: the physics of sandcastles
• Towards optical data transmission for high energy physics using silicon photonics
• The weak eigenfunctions of boundary-value problem with symmetric discontinuities
• Investigation of negative-parity states in 16C via deuteron inelastic scattering
• 2.02-kW and 4.7-GHz-linewidth near-diffraction-limited all-fiber MOPA laser
• Macro-micro-nano multistage toughening in nano-laminated graphene ceramic composites
• Intelligent LoRa NoC Applied in the Environmental Protection for Mu Us Desert
• Line-length-dependent dislocation glide in refractory multi-principal element alloys
• Nonvolatile reconfigurable broadband photodiodes based on BP/α-In2Se3 ferroelectric p–n junctions
• Study of Pseudoplastic and Dilatant Behavior of Nanofluid in Peristaltic Flow: Reiner-Philippoff Models
• Comprehensive physical and electrical characterizations of NO nitrided SiO2/4H-SiC (112̄0) interfaces
•  12 Optical and Laser Techniques
• Design of Gas Diffusion Cascade for Production of Carbon Isotope Using Ethylene as Processing Gas
• Highly stable PEDOT: PSS electrochemical transistors
• A novel cascade optimization method based on butterfly optimization algorithm
•  New perturbed conformable Boussinesq-like equation: Soliton and other solutions
•  Some new type optical and the other soliton solutions of coupled nonlinear Hirota equation
• Broadband and high-performance SnS2/FePS3/graphene van der Waals heterojunction photodetector
• Intelligent meta-imagers: from compressed to learned sensing
• Highly sensitive detection of kinetin with electrochemical exfoliation of graphene nanosheets
• Engineering nanostructures to control phonon transport
• High-rate OVPE-GaN crystal growth at a very high temperature of 1300oC
• On-the-fly autonomous control of neutron diffraction via physics-informed Bayesian active learning
• Physics-based large-deformation analysis of coseismic landslides: a multiscale 3D SEM-MPM framework with application to the Hongshiyan landslide
• Towards Efficient Simulations of Non-Equilibrium Chemistry in Hypersonic Flows: A Physics-Informed Neural Network Framework
•  In situ characterization of crystallization and melting of soft, thermoresponsive microgels by small-angle X-ray scattering
• A surface acoustic wave hydrogen sensor with tin doped indium oxide layers for intermediate temperatures
• Walter Scott Hill and Uruguayan Physics
• Neutron capture cross section of 169Tm measured at the CSNS Back-n facility in the energy region from 30 to 300 keV
• Iterative dynamic dual-energy CT algorithm in reducing statistical noise in multi-energy CT imaging
• Revealing the Quadrupole Radiation of Liquid Gallium Nanospheres
• Data-centric Engineering: integrating simulation, machine learning and statistics. Challenges and opportunities
•  Additive Trinomial Fréchet distribution with practical application
• Experimental study on drag reduction of the turbulent boundary layer via porous media under nonzero pressure gradient
• A study on the role of multi-walled carbon nanotubes on the properties of electrospun Poly (Caprolactone)/Poly (Glycerol sebacate) scaffold for nerve tissue …
• Investigating growth to detonation in vapor-deposited hexanitrostilbene and pentaerythritol tetranitrate films using high-throughput methods
• Ultra-high intensity lasers as tools for novel physics
• Temperature-dependent photodetection behavior of AlGaN/GaN-based ultraviolet phototransistors
•  Ab Initio Determination on Diffusion Coefficient and Viscosity of FeNi Fluid Under Earth’s Core Condition
• Random alloy thick AlGaAsSb avalanche photodiodes on InP substrates
• Design Thinking in the Improvement of Usability of Physics Mobile Educational Application
• Spin-Polarized Fractional Corner Charges and Their Photonic Realization
• Entropy analysis of thermally radiating MHD slip flow of hybrid nanoparticles (Au-Al2O3/Blood) through a tapered multi-stenosed artery
• Thermal tuning of terahertz metamaterial absorber properties based on VO 2

Research Topics Physics

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• Ziarek, Lukasz (Luke)

Lukasz (Luke) Ziarek

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Concurrency/parallelism; real-time Java; session types for distributed systems; visual debugging

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• PhD, Computer Science, Purdue University, 2011
• BS, Computer Science, University of Chicago, 2003
• IEEE Region One Technological Innovation (Academic) Award, 2023
• President Emeritus and Mrs. Meyerson Award for Distinguished Undergraduate Teaching and Mentoring, 2022
• NSF CAREER Award , 2018
• SEAS Early Career Teacher of the Year , 2016
• Halstead Award for Outstanding Research in Software Engineering, 2009
• Intel Fellowship, 2008
• GAANN Fellowship, 2004

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Summer 2022 internships at the Army Research Lab in Maryland

For undergraduate and graduate students in all stem majors.

The  Army Research Lab  (ARL) is offering approximately 12 paid summer team intern projects for UMBC and University of Maryland students. You will work on-site at ARL in teams of 3-5 interns with a mentor for 10 weeks over the summer of 2022, tentatively from June 6 thru August 12, 2022.

Internship opportunities are offered in the six topics that are described below. ARL will create specific projects within each topic that leverage the skills and experience of the students that are selected for the topic. Multiple teams may be selected for a single topic and some topics may not be supported if there is insufficient interest from applicants.

Both undergraduate and graduate engineering and science students are encouraged to apply, including Freshman, Sophomore, Junior, Senior, Masters Candidates, and Ph.D. Candidates. Interns will be paid a fixed stipend for the 10-week internships of $9,000 for undergraduate students and $12,000 for graduate students. No additional funding for travel or lodging is available.  Interns will work on Army sites and hence are limited to  U.S. citizens  and will be required to comply with Army COVID-19 requirements and provide proof of COVID-19 vaccination.

APPLY via  UMBCworks  RIGHT AWAY, position 9336592

If you don’t have an approved resume on UMBCworks, upload one and send Christine Routzahn ( [email protected] ) an email message. She will approve it so you can apply ASAP.

Applicants should submit a one-page resume and 1-2 page  cover letter  that describe relevant education, projects, and work experience. Include your GPA in your resume or cover letter, a statement of your goals for the internship, and identify up to three topics that are of interest to you. ARL prefers candidates with a GPA of 3.0 or better.

Applications will be sent to the Army Research Lab every Friday. Each week selected applicants will be contacted to schedule a short virtual interview and conditional offers will be made to successful applicants on a rolling basis.  We will stop accepting applications when we reach 36 so it is to your advantage to apply early. Applicants with conditional offers will need to successfully complete a background check prior to obtaining their final offer.

• 2022A – Biotechnology and Synthetic Biology
• 2022B – Ground & Air Robotics & Autonomy
• 2022C – Image Understanding for UAVs
• 2022D – Novel New Energy Sources
• 2022E – Quantum Information and Sensing
• 2022F – Co-design of Structural Materials and Components 

For more information on the topics, see this post on the CSEE website.

• More Information about Summer 2022 internships at the Army Research Lab in Maryland

Posted: February 19, 2022, 5:57 PM

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10 facts about today’s college graduates

Having a bachelor’s degree remains an important advantage in many sectors of the U.S. labor market. College graduates generally out-earn those who have not attended college, and they are more likely to be employed in the first place. At the same time, many Americans say they cannot afford to get a four-year degree – or that they just don’t want to.

Here are key facts about American college graduates.

This Pew Research Center analysis about U.S. college graduates relies on data from sources including the Census Bureau, the Bureau of Labor Statistics, the National Center for Education Statistics, the National Student Clearinghouse and the Federal Reserve Bank, as well as surveys conducted by the Center.

Everyone who took the Pew Research Center surveys cited is a member of the Center’s American Trends Panel (ATP), an online survey panel that is recruited through national, random sampling of residential addresses. This way nearly all U.S. adults have a chance of selection. The survey is weighted to be representative of the U.S. adult population by gender, race, ethnicity, partisan affiliation, education and other categories. Read more about  the ATP’s methodology .

Nearly four-in-ten Americans ages 25 and older have a bachelor’s degree, a share that has grown over the last decade. As of 2021, 37.9% of adults in this age group held a bachelor’s degree, including 14.3% who also obtained a graduate or professional degree, according to data from the Census Bureau’s Current Population Survey. That share is up 7.5 percentage points from 30.4% in 2011.

An additional 10.5% had an associate degree in 2021. About four-in-ten Americans ages 25 and older had a high school diploma with no further education (25.3%) or completed some college but didn’t have a degree (14.9%).

In a reversal, women are now more likely than men to graduate from college, according to the Current Population Survey . In 2021, 39% of women ages 25 and older had a bachelor’s degree or more education, compared with 37% of men in the same age range. The gap in college completion is even wider among adults ages 25 to 34: 46% of women in this age group have at least a bachelor’s degree, compared with 36% of men.

In an October 2021 Pew Research Center survey of Americans without a degree, 34% of men said a major reason why they have not received a four-year college degree is that they just didn’t want to. Only one-in-four women said the same. Men were also more likely to say a major reason they didn’t have a four-year degree is that they didn’t need more education for the job or career they wanted (26% of men said this vs. 20% of women).

Women (44%) were more likely than men (39%) to say not being able to afford college was a major reason they don’t have a bachelor’s degree. Men and women were about equally likely to say a major impediment was needing to work to help support their family.

There are racial and ethnic differences in college graduation patterns, as well as in the reasons for not completing a degree. Among adults ages 25 and older, 61% of Asian Americans have a bachelor’s degree or more education, along with 42% of White adults, 28% of Black adults and 21% of Hispanic adults, according to 2021 Current Population Survey data. The share of bachelor’s degree holders in each group has increased since 2010. That year, 52% of Asian Americans had a four-year degree or more, compared with a third of White adults, 20% of Black adults and 14% of Hispanic adults.

The October 2021 Center survey found that among adults without a bachelor’s degree, Hispanic adults (52%) were more likely than those who are White (39%) or Black (41%) to say a major reason they didn’t graduate from a four-year college is that they couldn’t afford it. Hispanic and Black adults were more likely than their White counterparts to say needing to work to support their family was a major reason.

While a third of White adults said not wanting to go to school was a major reason they didn’t complete a four-year degree, smaller shares of Black (22%) and Hispanic (23%) adults said the same. White adults were also more likely to cite not needing more education for the job or career they wanted. (There weren’t enough Asian adults without a bachelor’s degree in the sample to analyze separately.)

Only 62% of students who start a degree or certificate program finish their program within six years, according to the most recent data from the  National Student Clearinghouse , a nonprofit verification and research organization that tracked first-time college students who enrolled in fall 2015 with the intent of pursuing a degree or certificate. The degree completion rate for this group was highest among students who started at four-year, private, nonprofit schools (78.3%), and lowest among those who started at two-year public institutions (42.2%).

Business is the most commonly held bachelor’s degree, followed by health professions.  According to the  National Center for Education Statistics , about a fifth (19%) of the roughly 2 million bachelor’s degrees conferred in 2019-20 were in business. Health professions and related programs were the second most-popular field, making up 12.6% of degrees conferred that year. Business has been the single most common major since 1980-81; before that, education led the way.

The  least  common bachelor’s degrees in 2019-20 were in military technologies and applied sciences (1,156 degrees conferred in 2019-20), library science (118), and precision production (39).

There is a growing earnings gap between young college graduates and their counterparts without degrees. In 2021, full-time workers ages 22 to 27 who held a bachelor’s degree, but no further education, made a median annual wage of $52,000, compared with $30,000 for full-time workers of the same age with a high school diploma and no degree, according to data from the Bureau of Labor Statistics. This gap has widened over time. Young bachelor’s degree holders earned a median annual wage of $48,481 in 1990, compared with $35,257 for full-time workers ages 22 to 27 with a high school diploma.

The unemployment rate is lower for college graduates than for workers without a bachelor’s degree, and that gap widened as a result of the coronavirus pandemic. In February 2020, just before the COVID-19 outbreak began in the U.S., only 1.9% of college graduates ages 25 and older were unemployed, compared with 3.1% of workers who completed some college but not a four-year degree, and 3.7% of workers with only a high school diploma. By June 2020, after the pandemic hit, 6.8% of college grads, 10.8% of workers with some college, and 12.2% of high school grads were unemployed.

By March 2022, the unemployment rate had nearly returned to pre-pandemic levels for college graduates (2%) while dropping to 3% among those with some college education but no four-year degree, and 4% among those with only a high school diploma.

Recent college graduates are more likely than graduates overall to be underemployed – that is, working in jobs that typically do not require a college degree, according to an analysis of Census Bureau and BLS data by the Federal Reserve Bank of New York . As of December 2021, 41% of college graduates ages 22 to 27 were underemployed, compared with 34% among all college graduates. The underemployment rates for recent college grads rose in 2020 as the COVID-19 outbreak strained the job market, but have since returned to pre-pandemic levels.

As of the end of 2021, only 34% of underemployed graduates ages 22 to 27 worked what the Fed defines as “good non-college jobs” – those paying at least $45,000 a year – down from around half in the 1990s. The share of underemployed graduates ages 22 to 27 in low-wage jobs – those earning less than $25,000 annually – rose from about 9% in 1990 to 11% last year.

When it comes to income and wealth accumulation, first-generation college graduates lag substantially behind those with college-educated parents, according to a May 2021 Pew Research Center analysis . Households headed by a first-generation college graduate – that is, someone who has completed at least a bachelor’s degree but does not have a parent with a college degree – had a median annual income of $99,600 in 2019, compared with $135,800 for households headed by those with at least one parent who graduated from college. The median wealth of households headed by first-generation college graduates ($152,000) also trailed that of households headed by someone with a parent who graduated from college ($244,500). The higher household income of the latter facilitates saving and wealth accumulation.

The gap also reflects differences in how individuals finance their education. Second-generation college graduates tend to come from  more affluent families , while first-generation college graduates are more likely to incur education debt than those with a college-educated parent.

Most Americans with college degrees see value in their experience. In the Center’s October 2021 survey , majorities of graduates said their college education was extremely or very useful when it came to helping them grow personally and intellectually (79%), opening doors to job opportunities (70%) and developing specific skills and knowledge that could be used in the workplace (65%).

Younger college graduates were less likely than older ones to see value in their college education. For example, only a third of college graduates younger than 50 said their college experience was extremely useful in helping them develop skills and knowledge that could be used in the workplace. Among college graduates ages 50 and older, 45% said this.

• Higher Education

Katherine Schaeffer is a research analyst at Pew Research Center

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