[ skip to content ]
The PhD degree is awarded to candidates who have displayed an in-depth understanding of the subject matter and demonstrated the ability to make an original contribution to knowledge in their chosen field of specialty. For the PhD degree students must take eight courses beyond their Master degree, five of which must be at the doctoral 800 level. PhD students must also pass diagnostic and candidacy exams, work on advanced research under direct advising of an ECE faculty member, and write and defend an original dissertation.
The ECE department has research laboratories focusing on Applied Plasma Technology; Cybersecurity, Communications and Networking Innovation; Microelectronics and Thin Film Devices; Medical Imaging, Diagnosis, and Analysis; Power Research; Systems Analysis of Metabolic Physiology; Systems Research; Virginia Institute for Photovoltaics; and Vision Lab
ECE faculty support University centers such as the Applied Research Center, the Frank Reidy Center of Bioelectrics, and the Virginia Modeling, Analysis, and Simulation Center
Additional research facilities in the Hampton Roads area with ECE faculty collaboration include National Institute of Aerospace, NASA Langley Research Center and Jefferson Lab
Course provides a practical treatment of design, analysis, implementation and applications of algorithms. Topics include multiple machine learning models: linear models, neural networks, support vector machines, instance-based learning, Bayesian learning, genetic algorithms, ensemble learning, reinforcement learning, unsupervised learning, etc. Prerequisites: Graduate standing.
The course provides an overview of the fundamentals of solar cell technologies, design, and operation. The course is designed for graduate students in Engineering and Science interested in the field of alternative energy. The course objectives are to make sure each student: understands the various forms of alternative energies, understands solar cell design, understands solar cell operation, and acquires knowledge of the various solar cells technologies. The topics to be covered include: Alternative energies; Worldwide status of Photovoltaics; Solar irradiance; Review of semiconductor properties; Generation, recombination; Basic equations of device physics; p-n junction diodes; Ideal solar cells; Efficiency limits; Efficiency losses and measurements; Module fabrication; c-Si technology; classical; Photovoltaic systems; Design of stand-alone system; Residential PV systems. Prerequisites: Graduate standing in Engineering and Science.
Fundamental concepts of digital communication and information transmission: information sources and source coding; orthonormal expansions of signals, basis functions, and signal space concepts; digital modulation techniques including PAM, QAM, PSK and FSK; matched filters, demodulation and optimal detection of symbols and sequences; bandwidth; mathematical modeling of communication channels; channel capacity. Prerequisites: ECE 451/ECE 551 or equivalent or permission of the instructor.
Students entering the Doctor of Philosophy program in Electrical & Computer Engineering should meet the minimum university admission requirements (Graduate Admission)
Estimated rates for the 2022-23 academic year. Rates are subject to change. Anyone that is not a current Virginia resident will be charged non-resident rates. That includes international students.
Our enrollment coordinators are ready to help you through the admissions process.
Chung Hao Chen
231 KAUFMAN HALL, NORFOLK, VA, 23529
1000 Rollins Hall, Norfolk, VA 23529
2101 Dragas Hall, Norfolk, VA 23529