Contact the department on the World Wide Web home page at http://www.eece.maine.edu.

The Electrical and Computer Engineering Department offers the Master of Science degrees in Electrical or Computer Engineering and the Ph.D. degree in Electrical Engineering. Thesis and non-thesis options are available for the M.S. degrees for both Electrical and Computer Engineering. For a non-thesis degree, a minimum of 30 semester hours of course work is required. Thesis options require 30 credit hours of which six credits of ECE 699 shall be devoted to individual study with a member of the graduate faculty. This work must culminate in the preparation of a written thesis on a significant problem of common interest and an oral defense of the thesis. To obtain a M.S. degree in Electrical or Computer Engineering, a student must have at least a GPA of 3.0 for all courses taken as a graduate student.

A completed Bachelor of Science degree in Electrical Engineering is normally required to become a candidate for the Master of Science degree in Electrical Engineering. Qualified students with Engineering, Engineering Technology or Science degrees other than Electrical Engineering will be asked to complete with a grade of B or better the following courses (including applicable prerequisites) as a provision of their admission to the Master of Science in Electrical Engineering program: ECE 314, ECE 343, and ECE 351. A set of four core courses in Linear Systems Analysis (ECE 512), Electromagnetic Theory (ECE 550), Random Variable and Stochastic Processes (ECE 515), and Solid State Electronics (ECE 565) are offered on a rotating basis. Students are expected to complete at least three of these four courses. In addition to taking standard Electrical Engineering graduate courses, students may also enroll in state-of-the-art courses which cover areas such as artificial neural networks, robotics, advanced microprocessors, microwave acoustics, integrated optics, surface acoustic wave devices, sensors, VLSI design, computer vision, and localized networks. Normally no more than 6 credits of ECE 400 level course work will be acceptable for graduate credit. In addition, no more than one ECE 599 and two ECE 598 courses may be taken toward fulfilling the requirements for a Master of Science degree in Electrical Engineering. Degree candidates may also choose to take courses in Mathematics, Physics, Chemistry, Computer Science and other disciplines which are consistent with his/her program goals.

A completed Bachelor of Science degree in Computer Engineering is normally required to become a candidate for the Master of Science degree in Computer Engineering. Qualified students with Engineering, Engineering Technology or Science degrees other than Computer Engineering will be asked to complete with a grade of B or better the following courses (including applicable prerequisites) as a provision of their admission to the Master of Science in Computer Engineering program: ECE 275, ECE 314, ECE 343, ECE 471, COS 431, and COS 420. A set of four core courses in Advanced Microprocessor Based Design (ECE 571), Microprogramming (ECE 573), Linear Systems Analysis (ECE 512), and Software Engineering (COS 520) are offered on a rotating basis. Students are expected to complete at least three of these four courses. All students must complete at least one graduate-level (500 or above) course in Computer Science. In addition to the core curriculum, students may enroll in state-of-the-art courses offered by the Electrical Engineering and Computer Science graduate programs. Normally no more than 6 credits of ECE or COS 400 level course work will be acceptable for graduate credit. In addition, no more than one ECE 599 and two ECE 598 courses may be taken toward fulfilling the requirements for a Master of Science degree in Computer Engineering. Degree candidates may also choose to take courses in Mathematics, Physics, Chemistry and other disciplines which are consistent with his/her program goals.

Ph.D. candidates are required to pass a qualifying exam on Electrical Engineering fundamentals, and complete a comprehensive exam in the student’s area of research. The Ph.D. candidate must complete a program of study which has obtained the approval of the student’s advisory committee and the Graduate Coordinator of the department. The preparation and defense of a thesis embodying the results of an original investigation in a specialized area of Electrical Engineering are essential features of the program.

Graduate Faculty

Donald M. Hummels, Ph.D. (Purdue, 1987), Professor and Interim Chair. Communications, signal processing and pattern recognition.

Richard O. Eason, Ph.D. (Tennessee, 1988), Associate Professor. Robotics and Computer Vision.

John C. Field, Ph.D. (Northeastern, 1969), Professor. Microprocessor applications.

Duane Hanselman, Ph.D. (Illinois, 1985), Associate Professor. Design and control of motors, control theory and design.

David Kotecki, Ph.D. (University of California-Davis, 1988), Associate Professor. Microelectronics, electronic materials, computer modeling and simulation.

Mohamad T. Musavi, Ph.D. (Michigan, 1983), Professor. Artificial Neural Networks, computer vision. Instrumentation, neural networks and computer interfacing.

Mauricio Pereira da Cunha, Ph.D. (McGill University, 1994), Assistant Professor. Microwave acoustics, signal processing, sensors, and applications.

Habtom Ressom, Ph.D. (University of Kaisers-lautern, Germany, 1999), Assistant Professor. Neural Networks, Virtual Sensing.

Bruce E. Segee, Ph.D. (University of New Hampshire, 1992), Associate Professor of Electrical and Computer Engineering.

John F. Vetelino, Ph.D. (Rhode Island, 1969), Professor. Surface acoustic wave devices and applications, microsensors, sonar signal processing, solid state.