Assistant Professor
University of Wisconsin-Madison
Madison, Wisconsin, United States
Dr. Sikai (Sky) Chen is an Assistant Professor at the Department of Civil and Environmental Engineering and the Department of Mechanical Engineering (courtesy), University of Wisconsin-Madison. He received his Ph.D. in Civil Engineering with a focus on Computational Science & Engineering from Purdue University in 2019. His research centers around three major themes: human users, AI, and transportation. He aims to innovate and develop safe, efficient, sustainable, and human-centered transportation systems using cutting-edge methods and technologies. The focus is on incorporating human behaviors, interactive autonomy, digital infrastructure, and intelligent control frameworks. His works have been published in top transportation journals such as Transportation Research Part C, Computer-Aided Civil and Infrastructure Engineering, and Accident Analysis & Prevention. His Ph.D. dissertation, “Safety Implications of Roadway Design and Management: New Evidence and Insights in The Traditional and Emerging (Autonomous Vehicle) Operating Environments”, received the 2019 Best Civil Engineering Dissertation Prize from Purdue University and the Council of University Transportation Centers (CUTC)’s 2019 Milton Pikarsky Memorial Award (a national award for best Ph.D. dissertation). Dr. Chen serves as a PI and co-PI for research projects funded by the USDOT Center for Connected and Automated Transportation (CCAT) and WisDOT, with a total budget of around $2 million. In addition, he is a member of two ASCE national committees: Connected & Autonomous Vehicle Impacts, and Economics & Finance; IEEE Emerging Transportation Technology Testing Technical Committee; and TRB Standing Committee on Statistical Methods (AED60).
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A Novel Co-optimization Framework for Autonomous Driving Simulation in Large-scale Urban Scenario
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
A Review of Dynamic Lane Assignment with Signal Optimization for Connected Autonomous Vehicles
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
Towards Safe Autonomous Driving: A Dual-Phase Framework with Vision-Language Models & Human Feedback
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT