Bertram Shi is an expert in the VLSI design of CNN Array Computers. He received the B.S. and M.S. degrees in electrical engineering from Stanford University in 1987 and 1988 and the Ph.D. degree in electrical engineering from the University of California at Berkeley in 1994. He then joined the faculty of the Department of Electrical and Electronic Engineering at the Hong Kong University of Science and Technology. Dr. Shi's research interests are in analog VLSI and cellular neural networks, bio-inspired and neuromorphic engineering, machine vision, and image processing. He is a Fellow of the IEEE. His IEEE activities have included Student Activities Chair of the IEEE Hong Kong Section, Associate Editor for the IEEE Transactions on Circuits and Systems-I: Fundamental Theory and Applications, Secretary and Chair-elect for the IEEE Circuits and Systems Society Technical Committee on Cellular Neural Networks and Array Computing and Distinguished Lecturer for the IEEE Circuits and Systems Society.
Bertram Shi has pioneered the VLSI implementation of low power cellular neural networks exploiting analog subthreshold design techniques. He has also developed VLSI architectures for multiple layer CNNs, including single chip four layer CNNs and multichip 16 layer CNNs. He has also made important contributions to CNN applications in robotics, most notably the development of CNN systems for real time visual tracking and stereo-vision.