Wenshuo Wang

Postdoc

Wenshuo Wang is currently a Postdoc at Smart City Lab, McGill University. He received his Ph.D. degree in Mechanical Engineering from Beijing Institute of Technology in 2018. Before joint McGill University, he worked as a Postdoc at Carnegie Mellon University (2018-2019) and University of California, Berkeley (UC Berkeley, 2019-2020). Before 2018, he also worked as a research scholar at UC Berkeley (2015-2017) and the University of Michigan, Ann Arbor (2017-2018). His research focuses on Bayesian nonparametric learning, reinforcement learning on multi-agent interaction behavior modeling and prediction at human-levels for autonomous vehicles, and intelligent transportation systems in common-but-challenging situations.

Research Interests

Human behavior modeling, analysis, and prediction for autonomous vehicle systems
Bayesian nonparametric modeling and learning for multi-agent sequential interactions and decision-making
Human cognitive model for autonomous driving

Selected Publications

Wang W, Xi J, Chen H. Modeling and recognizing driver behavior based on driving data: A survey[J]. Mathematical Problems in Engineering, 2014, 2014.
Wang W, Xi J, Chong A, et al. Driving style classification using a semisupervised support vector machine[J]. IEEE Transactions on Human-Machine Systems, 2017, 47(5): 650-660.