CV of Junle Liu 刘军乐个人简历

Education

  • Ph.D in Artificial Intelligence and Wind Engineering, The Hong Kong University of Science and Technology
  • B.S. in Engineering, Harbin Institute of Technology, Shenzhen

Work experience

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.

Community service

  • Reviewer: BMVC, AAAI, NeuraIPS, Physics of Fluids, Engineering Structures, Advances in Structural Engineering, Wind and Structures, Journal of Wind Engineering and Industrial Aerodynamics
  • Membership: 中国振动工程学会,APS-DFD

教育经历

工作经历

专业技能

  • 人工智能技能
    • 计算机视觉:CNN、GAT、GAN、多模态技术等
    • 深度强化学习:融入物理约束的奖励设计与状态/动作空间设计
  • 流体物理背景
    • 流体力学理论与实验、数值模拟技能
    • 工程实践:实体模型与演示装置的设计制造

学术服务

  • 审稿人:BMVC、AAAI、NeurIPS、Physics of Fluids、Engineering Structures、Advances in Structural Engineering、Wind and Structures、Journal of Wind Engineering and Industrial Aerodynamics
  • 学术组织会员:中国振动工程学会、APS-DFD