Sky-Lab
Sikai Chen
Assistant Professor
Department of Civil and Environmental Engineering
Department of Mechanical Engineering (Courtesy)
University of Wisconsin-Madison
Office: Engineering Hall 2266
Email: sikai.chen@wisc.edu
My name is Sikai (Sky) Chen, “陈思凯” in Chinese.
Welcome to the Sky-Lab website.
We are a research group at the University of Wisconsin-Madison. Our research centers around three major themes: human users, AI, and transportation. We aim to innovate and develop safe, efficient, sustainable, and human-centered transportation systems using cutting-edge methods and technologies. Our focus is on incorporating human behaviors, interactive autonomy, and intelligent control frameworks.
Thank you very much for your interest in our work.
Please feel free to contact us if you have any questions. We look forward to learning from and collaborating with you!
Recent News
| Mar 1, 2024 | This website is still under development. Please check back later for the full version and updates. Last updates: 03/01/2024. |
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| Feb 8, 2024 | Our paper “Kinematics-aware multi-graph attention network with residual learning for heterogeneous trajectory prediction” has been accepted for publication by Journal of Intelligent and Connected Vehicles. Cheers! |
| Jan 12, 2024 | Sky-Lab members attended the TRB 2024 Annual Meeting |
| Jan 8, 2024 | Our paper “Human as AI Mentor: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving” has been accepted for publication by Communications in Transportation Research. Cheers! |
| Sep 15, 2023 |
Lei Shi, Yongju Kim, and Zheng Li joined the Sky-Lab in 2023 fall to pursue their doctoral degree. Welcome, Lei, Yongju, and Zheng! 
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Selected Publications
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Human as AI Mentor: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous DrivingAccepted by Communications in Transportation Research , 2024 -
Kinematics-aware multi-graph attention network with residual learning for heterogeneous trajectory predictionAccepted by Journal of Intelligent and Connected Vehicles , 2024 -
Why did the AI make that decision? Towards an explainable artificial intelligence (XAI) for autonomous driving systemsTransportation research part C: emerging technologies , 2023 -
Dynamic urban traffic rerouting with fog-cloud reinforcement learningComputer-Aided Civil and Infrastructure Engineering , 2023 -
Leveraging vehicle connectivity and autonomy for highway bottleneck congestion mitigation using reinforcement learningTransportmetrica A: Transport Science , 2023