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John F. Canny is a Professor Emeritus in the Electrical Engineering and Computer Sciences (EECS) Department at the University of California, Berkeley. He received his B.Sc. in Computer Science and Theoretical Physics from Adelaide University, South Australia, in 1979, followed by a B.E. (Hons) in Electrical Engineering in 1980. He earned his M.S. and Ph.D. degrees in Electrical Engineering from the Massachusetts Institute of Technology (MIT) in 1983 and 1987, respectively. Dr. Canny joined the faculty at UC Berkeley in 1987, where he has become well-known for his contributions to computer vision, particularly the development of the Canny edge detector, which is a widely used algorithm in edge detection. His research interests include motion sensing, context-aware face recognition, social tele-embodiment, and robotic motion planning. Throughout his career, Canny has authored and co-authored numerous impactful research papers in the field of computer science and robotics, earning recognition for his work, including the AAAI Classic Paper Award in 2002. He continues to influence the field with his research and academic endeavors, as well as his contributions to education in computer science.
The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.