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Hai Deng, Assistant Professor; Ph.D., Texas at Austin, 2000. Signal processing; radar systems; sensor networking; waveform design; VLSI design; computational electromagnetics; radio frequency identification.
Shengli Fu, Assistant Professor; Ph.D., Delaware, 2005. Coding and information theory; wireless communications; pattern recognition; speech driven facial animation.
Oscar N. Garcia, Assistant Professor; Ph.D., Delaware, 2005. Coding and information theory; wireless communications; pattern recognition; speech driven facial animation.
Parthasarathy Guturu, Assistant Professor; Ph.D., Indian Institute of Technology, 1984. Wireless sensor networks; computer vision; data fusion; computational intelligence.
Xinrong Li, Assistant Professor; Ph.D., Worcester Polytechnic Institute, 2003. Statistical signal processing theory and applications; algorithms design and real-time implementation; wireless communications and networks; wireless channel measurement and modeling.
Murali Varanasi, Professor and Chair; Ph.D., Maryland, 1973. Computer arithmetic; coding theory; VLSI design.
P.O. Box 310470
Denton, Texas 76203-0470
Phone:940-891-6872
Fax: 940-891-6881
TTY callers: 940-369-8652
UNT Research Park, Room B270
www.unt.edu
www.cse.unt.edu
E-mail: eechair@unt.edu
940-565-2383 or toll free (888) UNT-GRAD
The Department of Electrical Engineering at the University of North Texas will offer course work leading to a master of science degree in electrical engineering beginning Fall 2007. Courses and research areas available to you include coding theory, computational intelligence, computer arithmetic, computer vision, data fusion, radar systems, sensor networks, speech driven facial animation, statistical signal processing, VLSI design and wireless communications and networks.
You can engage in advanced high-tech collaborative research with faculty members from electrical engineering and other departments. Graduate classes are taught in late afternoons to accommodate working students.
The electrical engineering department has state-of-the-art instructional and research laboratories and software to provide you practical and advanced hands-on experiences. Some laboratories and instrumentation from other departments are also available for interdisciplinary work.
Computer-Aided Design (CAD) Laboratory —provides infrastructure for computer-aided design, including several workstations with the latest CAD software, enabling design, test and simulation of a range of electronic chip designs.
Digital and Mixed Signal Conditioning Laboratory —equipped with specialized digital waveform generators, logic analyzers, spectrum analyzers and new software-based test and analysis systems for digital and mixed signal conditioning experiments.
Intelligent Signal Processing Research Laboratory —dedicated to design and development of advanced signal processing algorithms and electronic systems for applications in industry, defense and space sectors. Research areas include signal detection and estimation, information fusion from various sensor sources, infrared and microwave imaging, robust signal processing, pattern recognition, and target identification and tracking.
RF and Electromagnetic Scattering Laboratory —has high RF bandwidth equipment, transmitter/receiver pairs for experiments over a wide range of frequencies, test equipment for high-frequency pulsed signals, RF sensing and identification systems, microwave scattering near-field measurement equipments and advanced scattering simulation software.
Wireless Systems and Sensor Networks Research Laboratory —research focuses on system-level, assurance and integration issues that are critical for the design of high-performance wireless networks and intelligent sensor networks. Current research topics include measurement and modeling of wireless channels, experimental and theoretical study of system performance, integrated communications and positioning, real-time signal processing, coding theory and optimum network deployment and connectivity.
You must meet the general admission requirements of the Toulouse School of Graduate Studies and a specific set of program requirements. Admission is based on a holistic review of your academic background and work experience. Completion of leveling courses is required if your undergraduate degree is not in electrical engineering. The leveling courses are decided by the graduate adviser on an individual basis.
Program requirements are:
After fulfilling the admission requirements, you must submit a formal degree plan to your graduate adviser and the dean of the graduate school. Failure to do so may prevent you from enrolling the following semester. Admission to candidacy is granted by the dean of the graduate school after the degree plan has been approved.
The Department of Electrical Engineering offers thesis and non-thesis options for a master's degree. The thesis option requires completion of 24 semester credit hours beyond the undergraduate prerequisites and leveling courses, and 6 semester hours of EENG 5950 Master's Thesis. In the non-thesis option, you must complete 30 semester hours of course work and 3 semester hours of EENG 5890 Study of Topics in Electrical Engineering.
You could earn scholarships based on your academic performance. The department and faculty research grants also provide a limited number of teaching assistantships 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.