Ph.D. in Electrical Engineering, University of California Davis, 1976
M.S. in Electrical Engineering, Stanford University, 1968
B.S. Highest Honors in Electrical Engineering, University of California Davis, 1967
Professor, University of California Davis, Electrical and Computer Engineering, 1994-2011
Associate Professor, University of California Davis, Electrical and Computer Engineering, 1984-94
Assistant Professor, Electrical and Computer Engineering, University of California, Davis, 1976-84
Chief, Test and Evaluation Section, Medical Systems Division, U.S. Air Force School of Aerospace Medicine, 1968-72
Electrical and Computer Engineering Graduate Group
Computer Science Graduate Group
Image processing, pattern recognition, neural networks, digital communications, and digital signal processing.
Gary Ford explores signal and image processing algorithms. His recent work in communications signal processing involved the development and performance analysis of algorithms for multiuser detection of continuous phase modulation signals. An optimum multiuser receiver was developed for detecting asynchronous partial-response PAM signals, generalizing two previously-published receiver algorithms. Another project involved the application of methods of unsupervised pattern recognition to the problem of automatic target cueing (ATC) in hyper-spectral images. An algorithm was developed to extract spatial clusters of spectrally related pixels having specified and distinctive spatial characteristics. It provided an alternative to classical ATC algorithms based on anomaly detection, in which pixels are classified as type anomaly” or background clutter”.
Gary Ford received the UC Davis Academic Senate Distinguished Teaching Award in 1984.