Think before you act -- A Chinese Proverb
I am currently a postdoctoral fellow (P.D.F) in McMaster Institute for Automotive Research and Technology (MacAUTO), under the supervision of Dr. Ali Emadi, a Canada Excellence Research Chair in Hybrid Powertrain.
Prior to my current employment, I finished my postdoctoral fellowship in Cognitive Systems Laboratory, McMaster University, under the supervision of Dr. Simon Haykin, a distinguished University Professor and IEEE Life Fellow.
My research interests include the following:
1. Cognitive Dynamic Systems
2. Energy systems, Electric Vehicle, Vehicle 2 Grid (V2G)
3. Artificial intelligence
4. Pattern classification
5. Signal processing
My Major Academic Contributions:
• 14 peer-reviewed papers, 26 conference papers, and 4 technical reports.
• Contributed to five books:
o Yanbo Xue and Simon Haykin, Cognitive Radar: A Way of the Future, in preparation.
o Simon Haykin, Neural Networks and Learning Machines, Prentice Hall, 2008 (contributed to almost all experiments)
o Yanbo Xue and Simon Haykin, Neural Networks and Learning Machines: User’s Manual, Prentice Hall, 2009
o Simon Haykin, Cognitive Dynamic Systems, Cambridge University Press (contributed to Chapters 1, 2 and 6).
o Jinkuan Wang and Deying Gu, Spatial Adaptive Signal Processing (in Chinese), Northeastern University Press, 2003, (contributed to Chapters 2, 4 and 6)
• Two patents filed:
o Cognitive tracking radar, Canada and US Patent, US application serial No. 12/588,346. Canada application No. 2,682,428, 2009.
o New generation of radar systems enabled with cognition, US Patent, US application serial No. 61/331,977, 2010.
Career Objectives:
• Fundamental research on artificial intelligence with application to the control of next generation of intelligent system, exemplified by radar. Pioneering research in a new discipline namely the cognitive dynamic systems.
Four pillars of a cognitive dynamic system include:
o Perception-action cycle that integrates a closed-loop feedback system, o Memory implemented by artificial neural networks for storage of stochastic information, o Attention for resource allocation with the goal of transformative information-processing power optimization, and o Intelligence for provision of decision-making strategies in face of environment uncertainties.It spans over multiple disciplines like signal processing, control theory, information theory, dynamic systems, neural computation, and cognitive science.
• Complicated pattern classification for application in computer-aided image recognition systems.
• Signal processing algorithm development of next-generation communication systems.
Technical Activities and Skills
· Served as a reviewer for IEEE Trans. on Signal Processing, IEEE Trans. on Antenna and Propagation, IEEE Trans. on Neural Networks, Journal of Electrical and Computer Engineering, and for several conference papers.