CV of Junle Liu

Education

• Ph.D in Artificial Intelligence and Wind Engineering, The Hong Kong University of Science and Technology
  • Supervisors: Tim K.T. Tse and Gang Hu
  • Thesis: Artificial Intelligence-Aided Aerodynamic Pressure and Flow Field Prediction
  • Committee member: Andrew Glen COHEN, Hui SU, Xiaowei DENG, Lin FU, Jize ZHANG, Tim K.T. TSE
• B.S. in Engineering, Harbin Institute of Technology, Shenzhen

Work experience

• Postdoc Research Fellow
  • KTH Royal Institute of Technology
  • Supervisor: Stefan Wallin and Ricardo Vinuesa (moved to UMich from Aug 2025)
• Postdoc Research Fellow
  • HKUST
  • Supervisor: Mengqian Lu
• Research Scientist Intern
  • Shanghai Artificial Intelligence Lab
  • Supervisor: Xiaoshui Huang and Wanli Ouyang

Skills

• AI Skills
  • Computer-vision techniques: CNN, GAT, GAN, multi-modal skills, etc.
  • Deep reinforcement learning: Reward design with physics, space design with physics
• Fluid Physics background
  • Fluid concepts and skills: experimental and numerical skills
  • Engineering practices skills: manufacturing practical models/demos.