Advising: Department Chair or a Faculty Member/Advisor listed on Admission Letter
B-236 Floyd Hall (Parkview Campus)

The Doctor of Philosophy in Electrical and Computer Engineering is designed to provide students advanced electrical/computer engineering education and research opportunities. The program will engage doctoral students in independent research in the field of electrical/computer engineering which will prepare them for research and development positions in the rapidly growing information and electronics sectors.

Current research areas in the department include real-time embedded systems, computer architecture and systems, biomedical engineering, signal processing, image processing, sensors and nanotechnology, biological neural networks, fuzzy logic, energy conversion, power electronics systems, communications and networking, semiconductor materials and devices, printed electronics and devices, flexible hybrid electronics, and control systems. The department has seven instructional laboratories in electric circuits, digital logic, energy conversion systems, microcomputer systems, programmable digital systems, senior design, and digital/analog electronics. In addition, there are eight labs for student and faculty research. These labs include a digital image and signal processing lab, a power equipment simulation and design lab, a computer architecture and system research lab, a neurobiology and non-linear systems engineering lab, a RF communications and RFID lab with radio frequency shield rooms, an intelligent fuzzy controllers lab, molecular and beam epitaxy lab, and a smart sensors and structures lab.

Admission Requirements

To be admitted to the Ph.D. program, a student must satisfy the following requirements:

1. Satisfy the general admission requirements of the Graduate College.
2. Possess a Bachelor of Science in electrical or computer engineering, with a minimum 3.2 grade point average, or a Master of Science in electrical or computer engineering, with a minimum 3.0 grade point average. Exceptional applicants with a master’s degree in other closely related quantitative fields such as engineering, mathematics, physics, or computer science will be considered on a case by case basis, after completing a prescribed set of prerequisite courses.
3. Submit results of the GRE General Test.
4. Three (3) recommendation letters from faculty familiar with the student’s work.
5. A personal statement of intended research goals, intended academic fields(s) of interests, and any previous research experiences written by the applicant.
   
   All requirements for the Ph.D. must be completed within seven (7) years preceding the date on which the degree is conferred.