Title: Learning from Biology - Neuromorphic Techniques for an Intelligent Vision System: Using Obstacle Avoidance as an Example
Abstract: Massive computation, data, and power consumption limits the deployment of artificial intelligence on edge devices. Key technologies based on neuromorphic computing provide solutions to edge computing, which is essential to develop the next generation AI chip. In this talk, neuromorphic techniques including model, architecture, and sensing will be discussed. These techniques will be demonstrated on a microdrone platform for the task of obstacle avoidance.
Biography: Dr. Kea-Tiong (Samuel) Tang received the B.S. degree in electrical engineering from National Taiwan University, Taiwan in 1996, and received the M.S. and Ph.D. degrees in electrical engineering from California Institute of Technology, Pasadena, CA, USA, in 1998 and 2001, respectively.
During 2001–-2006, Dr. Tang was a Senior Electrical Engineer with Second Sight Medical Products, Inc., Sylmar, CA, USA. He designed mixed-signal ASIC for the Argus II Retinal Prosthesis System, which became the first FDA-approved device for retinal prosthesis. Since 2006, he has joined the Electrical Engineering Faculty at National Tsing Hua University, Hsinchu, Taiwan, and is currently a Distingushed Professor. His research interests include bio-inspired learning chip, miniature electronic system, and biomedical implantable prosthetic device. He has actively collaborated with multi-disciplinary researchers and has published more than 300 peer-reviewed journal and conference papers in these research areas. He is a recipient of numerous awards, including Outstanding Young Scholar Award, Wu Ta-You Memorial Award, National Innovation Award, Outstanding Electrical Engineering Professor Award, and the Outstanding Research Award, NSTC.
Dr. Tang is a member of IEEE CASS, SSCS, EDS, and EMBS. He was the Past Chair of IEEE Biomedical and Life Science Circuits Systems Technical Committee (BioCAS). He was the Editor-in-Chief of IEEE Transactions on Biomedical Circuits and Systems (TBioCAS) (2022-2023). He has served as TPC member of ISSCC, IEDM, ASSCC, ISCAS, and BioCAS. He was IEEE CAS Chapter Chair of Taipei Section (2017-2018). He was the Chair of IEEE Taipei Section (2021-2022). He was a Board of Governor (BoG) of CAS Society, serving as Representative of Region 10 (2020~2021). He was the Vice President – Regional Activities and Membership of IEEE CASS (2022-2025). He is the current Vice President – Conferences of IEEE CASS. He was elected for Administrative Committee (AdCom) member for 2026-2028. Dr. Tang is a Fellow of IEEE.