Associate Professor
Fields of Research Activity
Neural network architectures, learning algorithms, and theory, especially for real-time, fault tolerant signal processing and control applications; information and communication theory.
Experience
Ten years of teaching experience in electrical engineering at UNH and the University of Michigan. Thirteen years of research and development experience at MIT Lincoln Laboratory, Space Physics Research Laboratory and the Department of Electrical and Computer Engineering at the University of Michigan, Environmental Research Institute of Michigan (ERIM), National Radio Astronomy Observatory, and NASA Langley Research Center. Previous areas of research have included spread-spectrum RF satellite communication systems, and heterodyne optical satellite communication systems; data compression and random process modeling of speech and image signals; high-frequency and microwave communication electronics.
Biography
Michael Carter received the B.S.E. in Electrical Engineering (summa cum laude) from the University of Michigan in 1975, the M.S. in Electrical Engineering from Stanford University in 1976, and the Ph.D. in Computer, Information, and Control Engineering from the University of Michigan in 1984. He won a number of scholarships and awards in academia, including the Distinguished Undergraduate Achievement Award of the Electrical and Computer Engineering Department at the University of Michigan. From 1984 to 1987 he was a member of the technical staff at MIT Lincoln Laboratory where he was in the Satellite Communication Systems Engineering Group and the Optical Communication Technology Group. Since September 1987 he has been a member of the Department of Electrical and Computer Engineering at the University of New Hampshire. In 1989 he was awarded an Analog Devices Inc. Career Development Professorship and a General Electric Foundation Young Faculty Grant. He is a member of Tau Beta Pi, Eta Kappa Nu, Sigma Xi, IEEE, International Neural Network Society, and the Society for Industrial and Applied Mathematics (SIAM).
