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 degree in Electrical Engineering, the Master of Science degree in Computer Engineering and the Ph.D. degree in Electrical and Computer Engineering. Thesis and non-thesis options are available for the M.S. degrees. 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 Engineering 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 from other disciplines may become candidates for a Master of Science degree in Electrical Engineering by demonstrating high scholastic competency in all the required undergraduate Electrical Engineering courses. This may be done by actually enrolling in the undergraduate Electrical Engineering courses or by passing an equivalency examination which covers the material appropriate to the undergraduate Electrical Engineering course.

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 the core curriculum, students may enroll in state-of-the-art courses offered by the Electrical Engineering graduate program. 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 from other disciplines may become candidates for a Master of Science degree in Computer Engineering by demonstrating high scholastic competency in all the required undergraduate Computer Engineering courses. This may be done by actually enrolling in the undergraduate Computer Engineering courses or by passing an equivalency examination which covers the material appropriate to the undergraduate Computer Engineering course.

A set of four core courses in Advanced Microprocessor Based Design (ECE 571), Microprogramming (ECE 573), Linear Systems Analysis (ECE 512), and Database (COS 520 or SIE 550) 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.

The Ph.D. degree in Electrical and Computer Engineering requires completion of a minimum of 42 credit hours of course work beyond the B.S. degree. Candidates are required to maintain a GPA of 3.3 for all graduate coursework, pass a qualifying exam on Electrical and Computer Engineering fundamentals and pass 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 and Computer Engineering are essential features of the program.

Graduate Faculty

Mohamad T. Musavi, Ph.D. (University of Michigan, 1983), Professor and Chair. Artificial Neural Networks, computer vision.

Ali Abedi, Ph.D. (University of Waterloo, 2004), Associate Professor, Wireless communications, coding and information theory, sensor networks.

Scott D. Collins, Ph.D. (Brigham Young University, 1980), Cooperating Professor. Micro-electrical-mechanical systems (MEMS).

Richard O. Eason, Ph.D. (University of Tennessee, 1988), Associate Professor. Robotics and computer vision.

Nuri Emanetoglu, Ph.D. (Rutgers State Univ. of New Jersey. 2003), Assistant Professor, Novel semiconductor materials and devices optoelectronics and photonics, piezoelectric materials, thin films, surface acoustic wave devices, sensors.

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

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

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

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

Bruce E. Segee, Ph.D. (University of New Hampshire, 1992), Associate Professor. Instrumentation, neural networks and computer interfacing.

Rosemary Smith, Ph.D. (University of Utah, 1982), Professor. Microsensors, microtechnology, biomedical microdevices.

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

Yifeng Zhu, Ph.D. (University of Nebraska-Lincoln, 2005), Associate Professor. Computer architecture and systems including parallel/distributed computing, and computer storage systems.