Summary

Assoc. Prof. Dr. Jiangliang Jin is an expert in energy systems, optimization, and deep reinforcement learning, specializing in electric vehicle (EV) charging scheduling, deferrable demand management, and energy storage operations. His research advances techniques in stochastic optimization and machine learning, with applications in smart grids, EV battery swapping, and cloud computing systems. Dr. Jin has published extensively in top-tier journals and presented at global conferences.

 Education

• Ph.D. in Engineering Systems and Design, Singapore University of Technology and Design (2014–2018)

  • President Fellow Scholarship

• M.S. in Finance, Nanyang Technological University (2012–2014)

  • Dean’s Honors List

• B.S. in Biology, Fudan University (2006–2010)

  • People’s Scholarship

 Professional Experience

• Associate Professor, Donghua University, China (2022–Present)

• Assistant Researcher, Shenzhen Research Institute (2020–2022)

• SHIAE Fellow, The Chinese University of Hong Kong (2019–2021)

• Research Associate, The Chinese University of Hong Kong (2018–2021)

• Visiting Scholar, The Chinese University of Hong Kong (2018)

• Teaching Assistant, Singapore University of Technology and Design (2014–2015)

Research Interests

• Electric Vehicle Charging Scheduling

• Stochastic Optimization & Reinforcement Learning

• Smart Grid & Energy Storage Optimization

• Cloud Computing and Multi-task Scheduling

• Deep Reinforcement Learning Applications in Energy Systems