In 1997 I obtained a Bachelor of Engineering in the Department of Telecommunications and Electrical Engineering at Shanghai University. In 2001 I obtained a Master of Science in Computer Science from the University of Windsor, and in 2010 I obtained a PhD in Computer Science from the University of Windsor.
After obtaining my Bachelor of Engineering I worked at Bell Arcatel Research and Development in Shanghai as a systems administrator and trainer. After obtaining my Masters of Computer Science I worked as a full-time Lecturer in the School of Computer Science at the University of Windsor from 2001 to 2007. I worked as a graduate research assistant at the University of Windsor from 2007 to 2010 while completing my PhD. Since obtaining my PhD in 2010 I have worked as an instructor at Dalhousie University and as lecturer at the University of New Hampshire.
For my M.Sc. research thesis I designed and implemented a Fast Dense Matching system for stereo vision as part of a Federally funded project for Sensori-Motor Augmented Reality for Tele-operation. For my PhD thesis, I designed and implemented a local approximation algorithm for multiply-sectioned Bayesian networks. My current research interests are in Artificial Intelligence, specifically, probabilistic uncertainty reasoning. I have 10 publications in these areas.
I plan to extend my research in multi-agent probabilistic reasoning to apply to probabilistic robotics. The issue of probabilistic reasoning and programming for cooperative robots remains poorly explored and existing models are too restrictive to characterize robot interaction in complex environment. I plan to extend the current modeling tools and inference algorithms in multi-agent domains towards that direction.
I have 10 years experience as a full time lecturer and instructor in computer science at the University of Windsor, Dalhousie University and the University of New Hampshire. I have taught large first year programming language courses as well as courses in data structures, and more advanced courses in object oriented programming and programming languages.
Recently, diversity in the university classroom has been receiving lots of attention. University educators realize the need to adjust teaching styles to match the learning styles in a culturally diverse student body. University administrators are interested in retention and satisfaction ratings from international students attending university. In computer science specifically the numbers of female students are a cause for concern both in the university setting and in the workplace. I was recently (in 2011) instrumental in establishing a workshop on diversity in the classroom. This workshop attracted a lot of interest and has expanded series of five workshops around the theme of "diversity in the classroom". There is much more research and development that needs to be done in this area, both in university and in industry, and I am focussed on this issue particularly as it relates to students graduating from the Chinese school system.