Javascript is currently not supported, or is disabled by this browser. Please enable Javascript for full functionality.

    University of North Texas
    Dec 05, 2022  
2018-2019 Graduate Catalog 
2018-2019 Graduate Catalog [ARCHIVED CATALOG]

Department of Electrical Engineering

Return to {$returnto_text} Return to: College of Engineering

Main Departmental Office
Discovery Park, Room B270

Mailing address:
1155 Union Circle #310470
Denton, TX 76203-5017
Fax: 940-891-6881

Web site:

Shengli Fu, Chair



The Department of Electrical Engineering at the University of North Texas commits to achieving excellence in research and graduate education in major electrical engineering areas. Our primary goals include: (1) to provide high quality innovative educational programs at the undergraduate and graduate levels to foster learning, ethical standards, and leadership qualities; (2) to pursue excellence in research at the frontiers of electrical engineering; (3) to facilitate access to our faculty expertise and our modern facilities, and (4) to serve the industry, the profession, and other constituents in North Texas, the state and the nation.

Research laboratories

The Department of Electrical Engineering has state-of-the-art instructional and research laboratories and software to provide practical and advanced hands-on experiences. Some laboratories and instrumentation from other departments are also available for interdisciplinary work.

The Autonomous Systems Laboratory focuses on information assurance, decision making and video communications aspects in autonomous systems, such as unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs). This laboratory consists of infrastructure and simulation tools necessary to develop protocols for autonomous systems and to analyze their performance. The laboratory has several indoor and outdoor robots that are used to develop and test decentralized decision-making and task-scheduling algorithms. The laboratory’s infrastructure includes a wireless video sensor network platform suitable for simulating applications such as video surveillance.

The Communications and Signal Processing Laboratory (CSPL) focuses on design and development of advanced communication techniques to provide efficient and robust information transmission over wired and wireless networks. Working in concert with academia and industry partners, CSPL is dedicated to research in coding and information theory; aerial communication and networks; drone system design and applications, especially in emergency response; and wireless sensor networks.

The Computer-Aided Design (CAD) Laboratory supports high quality research activities related to analog, digital, mixed signal, VLSI/SoC (system-on-a-chip) design, test and test verification. Resources include Cadence, Xilinx, LabVIEW, MATLAB, MultiSim, Advanced Design Systems, and Mentor Graphics.

The Cyber-Physical Energy Systems Laboratory focuses on control and optimization for networked cyber-physical systems with applications to power systems. Current research topics include: efficient distributed control and optimization algorithms for networked systems under cyber communication and physical constraints, accelerated distributed optimization algorithms for distributed energy resource (DER) coordination hearing prosthetics, and distributed energy management for microgrids.

The Embedded Sensing & Processing Systems (ESPS) Laboratory focuses on research in the areas of statistical signal processing, real-time embedded systems, and wireless sensor networks with applications in wireless localization and tracking, environmental monitoring, smart home, smart buildings, and Internet of Things. The overarching goal of our research is to solve real-life system-level challenges through theoretical research in statistical signal processing, networking protocol design and analysis, and practical system developments with hardware and software implementations.

The Information Theory and Applications Laboratory focuses on the application of information theory to communications, networking, privacy, security and storage. Current research interests include private information retrieval, index coding, optimality of treating interference as noise, topological interference management, and interference alignment.

The Integrated Biomedical Circuits and Systems Laboratory (iBioCASL) supports teaching, research and development of RF and microwave systems, and antenna designs. Research includes designing, fabricating, and testing new RF/microwave/millimeter-wave circuits both in the board-level and chip-level, as well as antenna design. Program features facilities for simulations, prototyping, and measurement of RF/microwave components and systems.

The Networked Intelligent Control Systems Laboratory focuses on intelligent control, computational intelligence and their applications in cyber-physical systems and robotics. Research topics include new intelligent control architecture design, development of networked control systems/cyber-physical systems, multi-agent learning-based development, autonomous mobile robots learning process, and deep learning for end-to-end intelligent design.


    Master’s DegreeDoctorate


      Electrical Engineering

      Return to {$returnto_text} Return to: College of Engineering