Jiaman is an incoming Assistant Professor in the Department of Data Science at City University of Hong Kong (CityUHK). She launched investigations on the Energy Systems and the Transportation Systems through data-driven methods. She aimed to understand the urban system by data and deliver reliable results to improve and innovate the urban systems constantly.
Research Interests
- Methodologies
- Optimization (discrete, or stochastic)
- Control Theory
- Machine learning and deep learning
- Mechanism design and game theory
- Network science and statistical physics of complex systems
- Applications
- Human dynamics modeling and analytics in transportation-energy systems
- Vehicle-grid integration
- Electric fleet operation and smart charging
- Transportation-energy infrastructure planning
- Smart grid management
Education Background
- Aug. 2021 - May 2025, Ph.D. in Systems Engineering, Dept. of CEE, University of California, Berkeley, Advisor: Prof. Marta C. Gonzalez.
- Sep. 2018 - Jun. 2021, M.S. in Computer Science and Technology, IIIS, Tsinghua University.
- Sep. 2014 - Jun. 2018, B.S. in Geographical Monitoring and Census, Dept. of Remote Sensing Information Engineering, Wuhan University.
Professional Experience
- Jul. 2023 - Aug. 2023 Intern @ Resilient Control Methods Group, Pacific Northwest National Laboratory. Work on Autonomous Intelligent Assistant (AutonomIA): Resilient and Energy-Efficient City-wide Transportation Operations
- Jul. 2020 - Jun. 2021 Intern @ Data Science Institute, DiDi Global Inc. Work on GAIA initiative to facilitate data-driven research in transportation
Academic Service
- Reviewer for IEEE Transactions on Smart Grid
- Reviewer for IEEE Transactions on Industry Applications
- Reviewer for IEEE Systems Journal
- Reviewer for Electric Power Systems Research
- Reviewer for International Journal of Electrical Power and Energy Systems
- Reviewer for The Power Systems Computation Conference (PSCC) 2022
- Technical Program Committee (TPC) Member of IEEE SmartGridComm 2022, 2024, 2025
Feature Publications
- Jiaman Wu, Chenbei Lu, Chenye Wu, Jian Shi, Marta C. Gonzalez, Dan Wang, Zhu Han. A Cluster-based Appliance-level-of-use Demand Response Program Design. Applied Energy.
- Jiaman Wu, Siobhan Powell, Yanyan Xu, Ram Rajagopal, and Marta C. Gonzalez. Planning Charging Stations for 2050 to Support Flexible Electric Vehicle Demand Considering Individual Mobility Patterns. Cell Reports Sustainability.
- Jiaman Wu, Chenbei Lu, Chenye Wu. Learning-Aided Framework for Storage Control Facing Renewable Energy. IEEE Systems Journal.
- Jiaman Wu, Zhiqi Wang, Chenye Wu, Kui Wang, and Yang Yu. A Data-driven Storage Control Framework for Dynamic Pricing. IEEE Transactions on Smart Grid.
Selected Awards and Honors
- 2021-2023 Ning’s Fellowship from UC Berkeley.
- 2022 Summer Grant Award. University of California, Berkeley.
- 2021 Outstanding Graduate Student Award from IIIS, Tsinghua University