Qun Wang

Qun Wang

Nanjing University of Science and Technology

I am currently a postdoctoral fellow at the Hong Kong PolyU AIMS Lab, working under the guidance of Assistant Professor Hailong Huang. I received my Ph.D. degree from Nanjing University of Science and Technology, advised by Professor Liangmo Wang, and was a visiting student researcher in the Energy Storage Lab under the supervision of Assistant Professor Ziyou Song at National University of Singapore.

My research focuses on the energy-saving optimization and safety-guaranteed driving of autonomous electrified vehicles. Key areas include:

  • Reinforcement Learning for Eco-driving: Developed a RL-based control strategy for mixed traffic flow, reducing energy consumption by 6.41% (see IEEE TITS 2023).
  • Human Driving Behavior Modeling: Calibrated the driving preferences of different human drivers using field-collected dataset into a joint distribution (see IEEE TITS 2023).
  • Multi-agent Car-following Control: Proposed a car-following strategy based on multi-agent reinforcement learning (see IEEE TTE 2024).

I have published more than 10 papers in leading journals and conferences, including IEEE Transactions and Energy.

🔥 News

  • 2025.02:  🎉🎉 Our paper titled ‘Safe Reinforcement Learning-Based Eco-Driving Control for Mixed Traffic Flows With Disturbances’ has been accepted by IEEE Transactions on Intelligent Transportation Systems.
  • 2024.06:  🎉🎉 Our paper titled ‘Scenario-oriented adaptive ECMS using speed prediction for fuel cell vehicles in real-world driving’ has been accepted by Energy.
  • 2024.04:  🎉🎉 Our paper on ecological car-following control in mixed traffic has been accepted by IEEE Transactions on Transportation Electrification.
  • 2024.02:  🎉🎉 Our paper on multi-lane eco-cruise for battery electric vehicles has been accepted by IEEE Transactions on Transportation Electrification.
  • 2024.02:  🎉🎉 Our paper on Data-EnablEd Predictive control for Eco-driving of mixed traffic has been accepted by IEEE Transactions on Control Systems Technology.
  • 2023.11:  🎉🎉 Our paper on adaptive leading cruise control for connected and automated vehicles has been accepted by IEEE Transactions on Intelligent Transportation Systems.
  • 2023.06:  🎉🎉 Our paper on eco-cruising for connected and automated vehicles has been accepted by IEEE Transactions on Transportation Electrification.

📝 Publications

Preprints

Journals by Year

2025

2024

Conference

🎖 Honors and Awards

📖 Educations

  • 2018.09 - 2024.06, Ph.D. in Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China
  • 2022.02 - 2023.10, Visiting Ph.D. student, National University of Singapore, Singapore
  • 2014.09 - 2018.06, B.Eng in Vehicle Engineering, Nanjing University of Science and Technology, Nanjing, China

📚 Academic Services

Journal Reviewer

  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Transactions on Intelligent Vehicles
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Consumer Electronics
  • Applied Energy
  • Control Engineering Practice

Conference Reviewer

  • IEEE Intelligent Vehicles Symposium (IV)
  • IEEE Conference on Vehicle Power and Propulsion (VPPC)

Talks & Presentations