Shuo Feng is currently an Assistant Professor in the Department of Automation at Tsinghua University, where he received his bachelor’s and Ph.D. degrees in 2014 and 2019, respectively.
He was an Assistant Research Scientist at the University of Michigan Transportation Research Institute, 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 30 articles in refereed journals including Nature and Nature Communications. He has been the recipient of the Best Ph.D. Dissertation Award from the IEEE Intelligent Transportation Systems Society (ITSS) in 2020 and the Intelligent Transportation Systems Outstanding Paper Award from the INFORMS Transportation Science and Logistics society in 2021.