Assoc Prof Dr. Jiangliang Jin | Anomaly Detection | Best Researcher Award
Donghua University, China
Profiles
Scopus
Google Scholar
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.
Ā Education
-
Ph.D. in Engineering Systems and Design, Singapore University of Technology and Design (2014ā2018)
-
President Fellow Scholarship
-
-
M.S. in Finance, Nanyang Technological University (2012ā2014)
-
Deanās Honors List
-
-
B.S. in Biology, Fudan University (2006ā2010)
-
Peopleās Scholarship
-
Ā Professional Experience
-
Associate Professor, Donghua University, China (2022āPresent)
-
Assistant Researcher, Shenzhen Research Institute (2020ā2022)
-
SHIAE Fellow, The Chinese University of Hong Kong (2019ā2021)
-
Research Associate, The Chinese University of Hong Kong (2018ā2021)
-
Visiting Scholar, The Chinese University of Hong Kong (2018)
-
Teaching Assistant, Singapore University of Technology and Design (2014ā2015)
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
Publications
Routing and charging scheduling for EV battery swapping systems: Hypergraph-based heterogeneous multiagent deep reinforcement learning
- Author: Shuai Mao, Jiangliang Jin, Yunjian Xu
- Journal: IEEE Transactions on Smart Grid
- Year: 2024
Optimal differentiated threshold characterization for multi-task stochastic deadline scheduling with queuing
- Author: Jiangliang Jin, Yunjian Xu
- Journal: Automatica
- Year: 2024
Optimal priority rule-enhanced deep reinforcement learning for charging scheduling in an electric vehicle battery swapping station
- Author: Jiangliang Jin, Shuai Mao, Yunjian Xu
- Journal: IEEE Transactions on Smart Grid
- Year: 2023
Shortest-path-based deep reinforcement learning for EV charging routing under stochastic traffic condition and electricity prices
- Author: Jiangliang Jin, Yunjian Xu
- Journal: IEEE Internet of Things Journal
- Year: 2022
Laxity differentiated pricing and deadline differentiated threshold scheduling for a public electric vehicle charging station
- Author: Liangliang Hao, Jiangliang Jin, Yunjian Xu
- Journal: IEEE Transactions on Industrial Informatics
- Year: 2022
Ā Research Interests
Ā Impact and Influence
Academic Cites & Recognitions
Ā Technical Skills
Teaching Experience
Ā Legacy and Future Contributions
Distinctions & Fellowships
Invited Talks & Conferences (Recent)
University Contributions
Research Interests
Summary
Electrochemical Energy Storage and Conversion
Surface and Interface Engineering
Materials Physics & Chemistry
Teaching and Educational Experience
Ā Honors and Awards
Ā Professional Appointments
Ā Long-term and Short-term International Stays
Ā Program Committees and Reviewing Activities
Ā Professional Affiliations
Teaching Experience
Summary
Academic Positions
Research Achievements
Selected Patents