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Academic Staff

Dr Chao Huang
PolyU Scholars Hub

Dr Chao Huang 黄超

Research Assistant Professor


Brief Biosketch

Dr. Huang Chao is currently a Research Assistant Professor in the Department of Industrial and Systems Engineering at The Hong Kong Polytechnic University. She received a bachelor degree in Control Engineering from China University of Petroleum, Beijing and a Ph.D. degree from University of Wollongong, Australia. Dr. Huang’s research interests include system optimization and control, human-machine collaboration, fault diagnosis and fault tolerant. 


Research Interests

  • Human-machine collaboration system for automated driving
  • Decision making, motion planning for automated driving
  • Fault tolerant theory and applications to automated vehicles
  • Artificial intelligence with applications to automated vehicles

Committees/Professional Services

  • Session Organizers of “Decision Making and Control of Autonomous Vehicles” of 2021 5th CAA International Conference on Vehicular Control and Intelligent (CVCI 2021) Oct 29-31, 2021, Tianjin
  • Session Organizers of “Human-Machine Systems for Automated Driving” of 2020 International conference on advanced Robotics and Mechatronics (ICARM) Dec 18th -21st, 2020
  • Session Organizers of “Autonomous Vehicles-supported Last-mile Delivery” of the 30th International Symposium on Industrial Electronics (ISIE2021), June 20th-23th 2021
  • Guest editor of Special issue on “Advanced Sensing and Control for Connected and Automated Vehicles” of Sensors (Impact factor: 3.275) July 2020 – May 2021
  • Guest editor of Special issue on “Energy Efficiency of Small-Scale UAVs” of aerospace Jan 2021 –January 2022


Authored Book

  • Hailong Huang, Andrey Savkin, Chao Huang, “Wireless Communication Networks Supported by Autonomous UAVs and Mobile Ground Robots”, Elsevier, 2021.


Selected Journal Publications

  1. Chao Huang, Hailong Huang, Junzhi Zhang, Peng Hang, Zhongxu Hu and Chen Lv, "Human-machine Cooperative Trajectory Planning and Tracking for Safe Automated Driving", IEEE Transactions on Intelligent Transportation Systems, 2021, doi: 10.1109/TITS.2021.3109596
  2. Chao Huang, Peng Hang, Zhongxu Hu and Chen Lv, "Collision-Probability-Aware Human-Machine Cooperative Planning for Safe Automated Driving", IEEE Transactions on Vehicular Technology, 2021, doi: 10.1109/TVT.2021.3102251.
  3. Chao Huang, Chen Lv, etc, "Human-Machine Adaptive Shared Control for Safe Automated Driving under Automation Degradation", IEEE Intelligent Transportation Systems Magazine, 2021, doi: 10.1109/MITS.2021.3065382.
  4. Chao Huang, Chen Lv, etc, "Personalized Trajectory planning and control of lane-change manoeuvres for human-like autonomous driving", IEEE Transactions on Vehicular Technology, vol. 70, no. 6, pp. 5511-5523, 2021, doi: 10.1109/TVT.2021.3076473.
  5. Chao Huang, Chen Lv, Peng Hang and Yang Xing, "Towards safe and personalized autonomous driving: decision-making and motion control with DPF and CDT techniques", IEEE/ASME Transactions on Mechatronics, 22 (7): 4267-4280, 2021.
  6. Chao Huang, Chen Lv, Fazel Naghdy and Haiping Du, "A reference-free approach for mitigating human-machine conflicts in shared control of automated vehicles", IET Control Theory & Applications, 14: 2752 – 2763, 2020.
  7. Chao Huang, Fazel Naghdy, Haiping Du, "Observer-based fault tolerant controller for uncertain Steer-by-Wire systems using the delta operator", IEEE-ASME Transactions on Mechatronics, 23(6): 2587-2598, 2018.
  8. Chao Huang, Fazel Naghdy, Haiping Du, “Delta operator based model predictive control with fault compensation for Steer-by-Wire systems”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018, 50(6): 2257-2272
  9. Chao Huang, Fazel Naghdy, Haiping Du, "Delta Operator-Based Fault Estimation and Fault-Tolerant Model Predictive Control for Steer-By-Wire Systems", IEEE Transactions on Control Systems Technology, 26 (5): 1810-1817, 2018.
  10. Chao Huang, Fazel Naghdy, and Haiping Du. "Fault tolerant sliding mode predictive control for uncertain steer-by-wire system." IEEE Transactions on Cybernetics, 49 (1): 261-272, 2017.


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