John F. Canny is an Australian computer scientist, and Paul East Jacobs and Stacy Jacobs Distinguished Professor of Engineering in the Computer Science Department of the University of California, Berkeley.
Education
In Computer Science and Theoretical Physics from the University of Adelaide in South Australia, 1979, a Bachelor of Engineering (Honours) in Electrical Engineering, University of Adelaide, 1980, a Master of Surgery and Doctor of Philosophy from the Massachusetts Institute of Technology, 1983 and 1987, respectively.
Career
He has made significant contributions in various areas of computer science and mathematics including artificial intelligence, robotics, computer graphics, human-computer interaction, computer security, computational algebra, and computational geometry. John Canny received his Bachelor of Science In 1987 he joined the faculty of Electrical Engineering and Computer Sciences at University of California Berkeley.
In 1999 he was the co-chair of the Annual Symposium on Computational Geometry.
In 2002 the American Association for Artificial Intelligence Classic Paper Award for the most influential paper from the 1983 National Conference on Artificial Intelligence. As the author of "A Variational Approach to Edge Detection" and the creator of the widely used Canny edge detector, he was honored for seminal contributions in the areas of robotics and machine perception.