Personal Profile
2021 Mechanical Engineering, University of Michigan, USA Ph.D. 2016 Automotive Engineering, Tsinghua University M.S. 2013 Automotive Engineering, Tsinghua University B.S.
Education
2021，Mechanical Engineering, University of Michigan, USA，Ph.D
2016，Automotive Engineering, Tsinghua University，M.S
2013，Automotive Engineering, Tsinghua University，B.S
Work Experience
2023-Pres.，Global Institute of Future Technology, SJTU，Assistant Professor
2021-2023，Ford Motor Company，Research Scientist
Research Fields
Intelligent vehicle/robot decision-making and control algorithms
Reinforcement learning/meta-reinforcement learning
Industrial embodied intelligence
AI-assisted aircraft engine design
Selected Publications (10 selected in last 3 years)
N. Rober, M. Everett, S. Zhang, and J. P. How, 'A hybrid partitioning strategy for backward reachability of neural feedback loops', in 2023 American Control Conference (ACC), 2023, pp. 3523–3528.
X. Wang, S. Zhang, and H. Peng, 'Comprehensive safety evaluation of highly automated vehicles at the roundabout scenario', IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 11, pp. 20873–20888, 2022.
L. Wen, S. Zhang, H. E. Tseng, B. Singh, D. Filev, and H. Peng, 'Improved Robustness and Safety for Pre-Adaptation of Meta Reinforcement Learning with Prior Regularization', in 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022, pp. 8987–8994.
X. Wang, H. Peng, S. Zhang, and K.-H. Lee, 'An interaction-aware evaluation method for highly automated vehicles', in 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021, pp. 394–401.
M. Zhu, S. Zhang, Y. Zhong, P. Lu, H. Peng, and J. Lenneman, 'Monocular 3d vehicle detection using uncalibrated traffic cameras through homography', in 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021, pp. 3814–3821.
S. Zhang, L. Wen, H. Peng, and H. E. Tseng, 'Quick learner automated vehicle adapting its roadmanship to varying traffic cultures with meta reinforcement learning', in 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021, pp. 1745–1752.
S. Zhang, 'Synthesis and Evaluation of Automated Vehicles', 2021.
S. Zhang, H. Peng, S. Nageshrao, and H. E. Tseng, 'Generating socially acceptable perturbations for efficient evaluation of autonomous vehicles', in Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops, 2020, pp. 330–331.
S. Zhang, H. Peng, S. Nageshrao, and H. E. Tseng, 'Discretionary Lane Change Decision Making using Reinforcement Learning with Model-based Exploration', in 18th IEEE International Conference on Machine Learning and Applications, 2019, p. 6.
Course Taught (Recent 5 Years)
ECE6801G-49000-M01-Deep Learning
