You can participate in the current technological revolution and be a high-tech-job-creating entrepreneur by pursuing a Doctor of Philosophy degree in Electrical Engineering at the University of North Texas.
UNT has the only program in the region concentrating in these areas, which are well-aligned with social, industrial and governmental pressing needs. In our program, you can focus your studies toward the following new thriving research and business fields:
A unique and innovative feature of the program is the integrated entrepreneurship component. We're the first program in the nation to feature this requirement at the Ph.D. level, purposely engaging you in entrepreneurship and the creation of intellectual property and patent development. This in-depth knowledge helps you move your original ideas and results to the marketplace smoothly. You'll earn a minor in Entrepreneurship from the College of Business in addition to your doctoral degree.
Our faculty members are well-known for their expertise, innovative spirit and emphasis on university- industry collaboration. Their research has been supported by the National Science Foundation, NASA, the National Institute of Standards and Technology, the MITRE Corporation and local industries, among others.
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 facilitate the potential for creativity, collaboration and technological innovation.
The College of Engineering constantly assesses its degree programs with an eye on tomorrow's marketplace.
The Department of Electrical Engineering is a pioneer in developing project-oriented curricula, allowing the application of knowledge to tangible real-world needs.
The department houses several state-of-the-art instructional and research laboratories that provide you practical and advanced hands-on experience. Some labs and instrumentation from other departments are also available for interdisciplinary work. They include the:
You'll also have direct access to the Center for Advanced Research and Technology, the UNT Nanofabrication Cleanroom and the Center for Advanced Scientific Computing and Modeling.
For specific details about each lab and available research equipment, visit the engineering website.
You must meet the general admission requirements for the graduate school and a specific set of program requirements:
Admission is based on a holistic review of your academic background and work experience. Completed admission applications must be received by the department by March 1 for the fall semester and by Oct. 1 for the spring semester.
The graduate school's admission requirements are outlined at the grad school website.
The most significant accomplishment of a Ph.D. graduate is an original dissertation that advances the discipline, opening opportunities for new applications. The basis of the research reported in the dissertation is supported by an advanced set of courses that includes:
For students entering with a bachelor's degree, the requirements include:
There are several scholarships, teaching fellowships and assistantships and research assistantships available to help you pursue your graduate degree.
Completed assistantship applications must be received by the department by March 1 for the fall semester and by Oct. 1 for the spring semester.
Information about federal financial assistance is available at the financial aid website.
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; renewable power systems; sustainability.
Shengli Fu , Associate Professor; Ph.D., University of Delaware. Coding and information theory; wireless communications; aerial communication and networks; sensor networks; 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-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, components and systems; antenna designs; nano-photonics; metamaterials; transformation optics; graphene-based electro- optic devices.
Discovery Park, Room B270