City University of Hong Kong
Studies of biological neural systems have made significant progress in both understanding biological systems and applying in various engineering systems. In this talk, I will start with a very brief introduction to intelligent systems, including biological neural networks, and bio-inspired neural networks. Then, several applications of advanced intelligent systems to biological systems and biologically inspired systems will be briefly presented. After that, I will focus on my current research on real-time intelligent sensing, planning, tracking, control, teleoperation, and human-robot interaction in various robotic systems.
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Event: |
MEEM Seminar 0708_026 |
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Date: |
5 May 2008 (Monday) |
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Time: |
11:00 am |
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Venue: |
MEEM Conference Room (B6619) |
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Speaker: |
Prof. Simon X. Yang |
Prof. Yang received the B.Sc. degree in engineering physics from Beijing University, China, in 1987, the first of his two M.Sc. degrees in biophysics from Chinese Academy of Sciences, Beijing, China, in 1990, the second M.Sc. degree in electrical engineering from the University of Houston, USA, in 1996, and the Ph.D. degree in electrical and computer engineering from the University of Alberta, Edmonton, Canada, in 1999. He joined the University of Guelph in Canada in August 1999. Currently he is a Professor and the Head of the Advanced Robotics and Intelligent Systems (ARIS) Laboratory at the University of Guelph. Prof. Yang's research expertise is in the area of Intelligent Systems, Robotics, Sensors, Multi-sensor Fusion, Intelligent Control and Computational Neuroscience. Dr. Yang has served as an Associate Editor of IEEE Transactions on Neural Networks, IEEE Transactions on Systems, Man, and Cybernetics, Part B and several other international journals. He has involved in the organization of many international conferences. He was a recipient of the 2004-2006 Presidential Distinguished Professor Awards at the University of Guelph, Canada.
Enquiry: MEEM General Office (Tel: 2788 8420 Email: mego@cityu.edu.hk )