Biography

Professor Chen Sun is an Assistant Professor in the Data and Systems Engineering at the University of Hong Kong. Professor Chen Sun obtained his Ph.D. degree in Mechanical and Mechatronics Engineering at the University of Waterloo, M.A.Sc degree in Department of Electrical and Computer Engineering from University of Toronto, and B,Eng. degree in Automation from University of Electronic Science and Technology of China. Professor Chen Sun’s research aims to develop theory and computational algorithms for intelligent autonomies like autonomous vehicles, robots to actively or reactively ensure safe and strong performance guarantees at uncertain, dynamic, and interactive environments. His current research thrusts include field robotics, autonomous driving (safe planning) and in general human-CPS autonomies.

Professor Chen Sun’s research has been published in world-leading journals (e.g., IEEE-TITS, IEEE-TIV, IEEE-TMECH, Engineering), as well as conferences (IROS, ITSC, ICRA). Personal website: https://chensunmac.github.io/

Research Topics

• Uncertainty quantification for complex AI-driven systems
• Safe planning in dynamic environment considering social norms
• Fault diagnosis and prognosis for complex hybrid systems

Opportunities for Research

Ph.D. and MPhil positions: Students with B.S. or M.S. in Mechanical Engineering, Electronic Engineering, Automation, Computer Science, Robotics are welcome to apply. Please visit https://chensunmac.github.io/openings/ for details.

Postdoc and visiting research positions: Professor Chen Sun is looking for postdoctoral research fellows in broad areas of robotics, autonomous driving and cooperative perception. Please send me your CV with the publication list and research interests. Please visit https://chensunmac.github.io/openings/ for details.

Selected Publications

• Ning, M., Khajepour, A., Hashemi, E., & Sun, C. (2024). A Novel Motion Planning for Autonomous Vehicles Using Point Cloud based Potential Field. IEEE Transactions on Vehicular Technology.
• Sun, C., Cui, Y., Ning, M., Lu, Y., Cao, D., & Khajepour, A. (2024). Extending Operational Design Domain for Perception Systems Through Robust Learning. IEEE Transactions on Intelligent Vehicles.
• Sun, C., Ning, M., Deng, Z., & Khajepour, A. (2024). REAL-SAP: Real-time Evidence Aware Liable Safety Assessment for Perception in Autonomous Driving. IEEE Transactions on Vehicular Technology.
• Cui, Y., Huang, S., Zhong, J., Liu, Z., Wang, Y., Sun, C., ... & Khajepour, A. (2023). Drivellm: Charting the path toward full autonomous driving with large language models. IEEE Transactions on Intelligent Vehicles.
• Sun, C., Zhang, R., Lu, Y., Cui, Y., Deng, Z., Cao, D., & Khajepour, A. (2023). Toward ensuring safety for autonomous driving perception: standardization progress, research advances, and perspectives. IEEE Transactions on Intelligent Transportation Systems.
• Sun, C., Cui, Y., Dào, N. D., Mehrizi, R. V., Pirani, M., & Khajepour, A. (2023). Medium-fidelity evaluation and modeling for perception systems of intelligent and connected vehicles. IEEE Transactions on Intelligent Vehicles, 9(1), 1711-1721.
• Su, L., Sun, C., Cao, D., & Khajepour, A. (2022). Efficient driver anomaly detection via conditional temporal proposal and classification network. IEEE Transactions on Computational Social Systems, 10(2), 736-745.
• Lu, Y., Zhen, R., Liu, Y., Zhong, J., Sun, C., Huang, Y., & Khajepour, A. (2025). Practical solution for attenuating industrial heavy vehicle vibration: A new gain-adaptive coordinated suspension control system. Control Engineering Practice, 154, 106125.

Full research profile: https://chensunmac.github.io/publications/