Miguel F. Acevedo, Regents Professor; Ph.D., University of California-Berkeley. Ecological and environmental modeling and monitoring; global climate change and variability; landscape and forest ecology; environmental systems and sustainability.
Shengli Fu, Associate Professor; Ph.D., University of Delaware. Coding and information theory; wireless communications; pattern recognition; speech-driven facial animation.
Oscar N. Garcia, Professor; Ph.D., University of Maryland. Speech-driven facial animation; speech recognition; artificial intelligence and knowledge-intensive reasoning; cognition and complex systems.
Parthasarathy Guturu, Associate Professor; Ph.D., Indian Institute of Technology (India). Wireless sensor networks; computer vision; data fusion; computational intelligence.
Hyoung Soo Kim, Assistant Professor; Ph.D., Georgia Institute of Technology. Mixed signal circuit design; RF circuit/system design; signal integrity of the high speed system.
Xinrong Li, Associate Professor; Ph.D., Worcester Polytechnic Institute. Statistical signal processing theory and applications; algorithms design and real-time implementation; wireless communications and networks; wireless channel measurement and modeling.
Yuankun Lin, Associate Professor; Ph.D., University of British Columbia. Photonic band gap materials; photonics; laser optics; laser-matter interaction; Raman spectrum; fiber optics and sensor; holographic lithography and two-photon lithography.
Gayatri Mehta, Assistant Professor; Ph.D., University of Pittsburgh. Low-power VLSI design; reconfigurable computing; system on a chip design; embedded computing; computer architecture.
Kamesh Namuduri, Associate Professor; Ph.D., University of South Florida. Image/video processing and communications; information assurance; wireless sensor networks.
Murali Varanasi, Professor; Ph.D., University of Maryland. Computer arithmetic; coding theory; VLSI design.
Yan Wan, Assistant Professor; Ph.D., Washington State University. Large-scale dynamical networks with applications; stochastic network modeling and analysis; decentralized control; air traffic flow management; sensor networking; systems biology.
Hualiang Zhang, Assistant Professor; Ph.D., Hong Kong University of Science and Technology. RF/microwave circuits; antenna designs; metamaterials; RF MEMS passive structures.
Discovery Park, Room B270
Where would you like your graduate degree to take you? Will you develop a trailblazing, intelligent wireless sensor network that can detect biological or chemical agents? A new way to manage acoustic signals in speech, ultrasound, hearing aids or music? Or something entirely new?
The Department of Electrical Engineering at the University of North Texas offers course work leading to a Master of Science degree in Electrical Engineering. With this degree, you’ll be well-positioned for an accomplished career in tomorrow’s tech-driven world.
With small class sizes, you’ll work closely with distinguished faculty members to solve complex problems faced by government, businesses and consumers. You can also take advantage of the invaluable contacts we’ve developed with leading companies and corporate partners.
Our cutting-edge courses and research areas range from artificial intelligence and coding theory to speech-driven facial animation and very-large-scale integration design.
You can engage in advanced high-tech collaborative research supported by grants from the National Science Foundation, the U.S. Army Research Laboratory and others in the industry. Graduate classes are offered in the late afternoon to accommodate working students.
Engineering classes and research are conducted at Discovery Park, a 300-acre research facility located four miles north of the main campus and served by a free shuttle. It brings together academic laboratories, offices and classrooms to maximize the potential for creativity, collaboration and technological innovation.
The College of Engineering is constantly assessing its degree programs with an eye on tomorrow’s marketplace. The college is a pioneer in developing project-oriented curricula that allow you to apply knowledge in tangible real-world applications.
We’re committed to excellence in teaching and the discovery and application of knowledge through research and creative activities. The department houses several state-of-the-art instructional and research laboratories that provide you practical and advanced hands-on experiences. Some laboratories and instrumentation from other departments also are available for interdisciplinary work.
The Analog, RF and Mixed-Signal Design Laboratory features advanced electronic instrumentation and facilities for simulations, prototyping and measuring of RF/microwave components and systems.
The Autonomous Systems Laboratory focuses on information assurance, decision making and video communications aspects in autonomous systems such as unmanned aerial and ground vehicles.
The Communications and Signal Processing Laboratory researches coding, information theory, encryption, wireless networking and software defined radio for applications in the industry, defense and space sectors.
The Computer-Aided Design Laboratory provides infrastructure for CAD, including several workstations with the latest CAD software. Research involves the design, testing and simulation of analog, digital and mixed-signal semiconductor chip designs.
The Speech, Music and Digital Signal Processing Laboratory studies speech, ultrasound, hearing prosthetics, music (analysis, synthesis and transcription) and acoustic signals management.
The Vision, Robotics and Control Systems Laboratory researches large-scale dynamical networks, decentralized control, pattern recognition, image processing, computer vision, computational intelligence, robotics and allied areas.
The Wireless Systems and Sensor Networks Laboratory focuses on system-level assurance and integration issues critical for the design of high-performance wireless networks and intelligent sensor networks.
The Texas Environmental Observatory provides near real-time data on environmental conditions in Texas using a ground-based network of observatories. It also offers cyber infrastructure to make data available to the public and amenable to modeling, analysis and synthesis.
You must meet the general admission requirements for the Toulouse Graduate School® and a specific set of program requirements:
Admission is based on a holistic review of your academic background and work experience. If your undergraduate degree is not in electrical engineering, you’ll need to complete the leveling courses as determined by your graduate advisor.
After fulfilling the admission requirements, you must submit a formal degree plan to your graduate advisor and the graduate school dean. Failure to do so may prevent you from enrolling the following semester. Admission to candidacy is granted by the graduate school dean after the degree plan has been approved.
You can earn scholarships based on your academic performance. The department and faculty research grants also provide teaching and research assistantships. Only master’s students who select the thesis option are eligible for teaching or research assistantships.
Completed assistantship and admission applications must be received by the department by March 1 for the fall semester and by Oct. 1 for the spring semester.