Electrical Engineering and Computer Science

Electrical Engineering and Computer Science Research

The Electrical Engineering and Computer Science Department has many research groups, allowing undergraduate and graduate students in Electrical Engineering and in Computer Science Engineering the opportunity to work alongside faculty members on cutting-edge research in our state-of-the-art labs.

Dr. Liang Cheng working with members of the Learning and Optimization on Networks and Graphs Laboratory

The Learning and Optimization on Networks and Graphs Laboratory and The Cyber-Physical-Human Systems Laboratory

Dr. Liang Cheng's (Department Chair) research group, including undergraduate and graduate students, works in the Learning and Optimization on Networks and Graphs Laboratory (LONG LAB) and Cyber-Physical-Human Systems Laboratory (CPHS Lab). There are three research thrusts: autonomous vehicles including self-driving cars and autonomous drones, artificial intelligence and machine learning for healthcare and entertainment, real-time networking and systems including smart grids, avionics, and industrial control systems.

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Dr. Abbas Semnani sitting around a table with members of the Adaptive Radiofrequency and Plasma Laboratory

The Adaptive Radiofrequency and Plasma Laboratory

Dr. Abbas Semnani’s research group, including undergraduate students, graduate students, and postdoctoral associates, works in the Adaptive Radiofrequency and Plasma Laboratory (ARPL) exploring techniques to improve high-power and reconfigurable RF, microwave, and mm-wave devices and systems. As one viable solution, they investigate low-temperature plasma as a tuning technology for high-power applications. Their current research topics include physics and modeling of EM-microplasma interaction, high-power tunable antenna elements and arrays, frequency-selective surfaces (FSS), plasma metamaterials, electrically-small antennas, tunable high-power matching networks, and efficient plasma generators.

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The EECS department specializes in three broad research areas:

ELECTRICAL ENERGY SYSTEMS

Most of the research in this area is concerned with electronic energy processing, energy storage, and alternative energy processing. Current and recent examples include DC-DC converter development, solar energy processing, battery management systems, energy storage systems for hybrid electric vehicles, and fuel cell vehicles. This research has been funded by several sponsors, most recently by Chrysler, NASA, US Navy, US Army and Department of Energy.

SENSORS AND NETWORKS

The work in this area is related to development of infrastructure for Scalable and Wireless Adaptive Networks. This will enhance the development of sophisticated monitoring and control systems based on wireless networks at low cost in the area of health care, agriculture and environment and mission critical systems. Simulation and performance analysis and reliability modeling of these networks are critical for maintaining Quality of Service constraints.

COMPUTATIONAL SCIENCES

In addition to existing experimental and theoretical approaches in problem solving, computational science is poised to offer a third paradigm in this venue. Computational Science initiative aims to address unique, large-scale, complex and challenging problems in sciences and engineering by means of leveraging advanced computer science know-how and expertise.

In recognition of the fact that domain specialists in sciences and engineering who must face the daunting task of tackling these very challenging problems might not possess the level and degree of sophistication in advanced computer science knowledge and skills, this research thrust in the EECS department aims to address this very important need. Researchers in the EECS department are poised to work in collaboration with domain specialist scientists and engineers to address projects including virtual reality, visualization, biomedical informatics, renewable energy sources, and photo-voltaic materials to list a few.


The Electrical Engineering and Computer Science Department believes in:

  • World class research and cutting-edge technology development
  • State-of-the-art graduate curriculum
  • Strong industry interaction and ample high-tech employment opportunities
  • Entrepreneurship and technology commercialization

Financial assistance in the form of fellowships, research assistantships, and teaching assistantships are available on a competitive basis.

Last Updated: 6/27/22