Research Areas：Smart grid： electric vehicle, electricity market, renewable energy, demand response

Shibo Chen is a research assistant professor in the department of mechanical and energy engineering. He obtained his PhD degree from the Hong Kong University of Science and Technology in 2017. His research interests include smart grid, electric vehicle, electricity market, demand response and vehicle routing.

Education：
◆ 2017, PhD, The Hong Kong University of Science and Technology
◆ 2011, Bachelor, University of Science and Technology of China

Experiences：
◆ Jan. 2019-~, Research Assistant Professor, Dept. of Mechanical and Energy Engineering, Southern University of Science and Technology
◆ Sep. 2018-Dec. 2018, Visiting Scholar, Dept. of Mechanical and Energy Engineering, Southern University of Science and Technology
◆ Sep. 2017-Sep. 2018, Post-doctoral Fellow, Dept. of Electronic and Computer Engineering, The Hong Kong University of Science and Technology

Papers：
◆ S. Chen and R. S. Cheng, “Operating Reserves Provision From Residential Users Through Load Aggregators in Smart Grid: A Game Theoretic Approach”, IEEE Trans. Smart Grid, online, 2017

◆ S. Chen and R. S. Cheng, “Distributed Charging Control of Plug-In Electric Vehicles via the Stochastic Alternating Direction Method of Multipliers”, 2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall)

◆ S. Chen and R. S. Cheng, “Optimal Real and Reactive Power Management for Residential Users in Smart Grid”, 2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall)

◆ J. Sun, S. Chen and Z. Yang, “Energy-aware Optimal Operation of Distributed Data Centers with Uncertain Workload and Electricity Price”, submitted to IEEE Trans. Industrial Informatics

◆ Z. Guo, S. Chen, Q. Yang and Z. Yang, “A Fast Algorithm for Optimal Power Scheduling of Large-Scale Appliances with Temporally-Spatially Coupled Constraints”, submitted to IEEE Trans. Smart Grid

◆ S. Chen, Z. Guo, Z. Yang and R. S. Cheng, “Incentive-based Autonomous Dynamic Phase Balancing by Electric Vehicles in the Smart Grid”, in preparation