Assoc Prof Dr. Jiangliang Jin | Anomaly Detection | Best Researcher Award
Donghua University, China
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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
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Ph.D. in Engineering Systems and Design, Singapore University of Technology and Design (2014–2018)
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President Fellow Scholarship
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M.S. in Finance, Nanyang Technological University (2012–2014)
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Dean’s Honors List
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B.S. in Biology, Fudan University (2006–2010)
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People’s Scholarship
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Professional Experience
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Associate Professor, Donghua University, China (2022–Present)
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Assistant Researcher, Shenzhen Research Institute (2020–2022)
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SHIAE Fellow, The Chinese University of Hong Kong (2019–2021)
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Research Associate, The Chinese University of Hong Kong (2018–2021)
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Visiting Scholar, The Chinese University of Hong Kong (2018)
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Teaching Assistant, Singapore University of Technology and Design (2014–2015)
Research Interests
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Electric Vehicle Charging Scheduling
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Stochastic Optimization & Reinforcement Learning
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Smart Grid & Energy Storage Optimization
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Cloud Computing and Multi-task Scheduling
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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