Wei Pan

Wei Pan is a Senior Lecturer (Associate Professor) in Machine Learning at the Department of Computer Science, University of Manchester. He previously held positions as Assistant Professor at TU Delft and Project Leader at DJI. He received his PhD from Imperial College London. His research focuses on robot control using Bayesian machine learning and dynamic control principles, with contributions to robotics, control theory, and reinforcement learning. He leads the UKRI AI CDT on Decision Making and co-directs the Manchester Centre for AI Fundamentals.

Education: PhD in Machine Learning from Imperial College London; Master's and Bachelor's degrees from Harbin Institute of Technology and University of Science and Technology of China.

Research Interests: Bayesian Reinforcement Learning, Multi-Agent Systems, Autonomous Robotics, and Safe Control. His work bridges theoretical foundations with practical applications in robotics and AI, emphasizing real-world deployment and safety.

Recent Research Trends: His articles emphasize scalable multirobot control, safe reinforcement learning, and Bayesian methods for system identification. Notable contributions include hierarchical physics-informed neural networks and distributed MPC frameworks.

• Awards: Outstanding Associate Editor Award (IEEE RA-L).
• Projects: Co-PI on MCAIF (Centre for AI Fundamentals) and RAI (Robotics & AI) initiatives.

Advising & Teams: Supervises over 20 PhD students and leads research groups at Manchester and TU Delft. Collaborates widely in academia and industry, including DJI and Alibaba.

Labs: Former co-director of Delft SELF AI Lab; active in Manchester’s robotics facilities and computational AI labs.