Shuo Feng

University of Michigan

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Assistant Research Scientist– The University of Michigan Transportation Research Institute

Dr. Shuo Feng is an Assistant Research Scientist at the University of Michigan Transportation Research Institute (UMTRI). He received his bachelor’s and Ph.D. degrees in the Department of Automation at Tsinghua University, China, in 2014 and 2019, respectively. Before joining UMTRI, Dr. Feng was a postdoctoral research fellow in the Department of Civil and Environmental Engineering at the University of Michigan, Ann Arbor. His research interests lie in the development and validation of safety-critical machine learning, particularly for connected and automated vehicles. Dr. Feng has published more than 20 articles in refereed journals including Nature Communications and IEEE Transactions on Intelligent Transportation Systems. He has served as the associate editor of IEEE Transactions on Intelligent Vehicles and academic editor of Automotive Innovation. He was the recipient of the “Best Ph.D. Dissertation Award” from the IEEE Intelligent Transportation Systems Society (ITSS) in 2020 and the Intelligent Transportation Systems Best Paper Award from the INFORMS Transportation Science and Logistics society in 2021.

Their Research

Modeling Naturalistic Driving Environment with High-Resolution Trajectory Data
Principal Investigator:
Shuo Feng & Henry Liu
Research Thrusts: Control & Operations, Enabling Technology, Infrastructure Design & Management, Modeling & Implementation