I work for Apple as a battery data scientist. My research interests include Mathematical Modeling, Estimation & Controls, and Data science in the area of civil systems. Specifically, my primary research for energy system emphasizes electrochemical-based Li-ion battery management system for Li-ion battery. I have led several energy-related projects for many years, including system identification / state estimation for Li-ion battery, optimal control for battery fast charging, and energy Big data analytics for Smart Grid.

News

Oct. 2021

• I am presenting "Battery Fast-Charging using Deep RL in Electrified Transportation" in 'Intelligent Transportation Seminar (ITS)' at Hongkong University of Science and Technology, Guangzhou.

Aug. 2021

• I am starting as a battery data scientist at Apple Inc. My role is to analyze the Big Battery Data from the lab / field environment, and fill the gap between battery management system and battery chemistry

Jul. 2021

• I am presenting "Learning & Controls for Battery Management System" in 'Control and Estimation of Batteries' session at SIAM Conference on Control and Its Applications (CT21).

May 2021

• I am participating in 3 Minute Thesis (3MT) hosted by Battery Modeling Webinar Series (BMWS). The presentation video is available in Talks.

Apr. 2021

• I am presenting "Deep Reinforcement Learning for Fast Charging of Li-ion Batteries" in AI & Sustainable Energy session at Applied Machine Learning Days (AMLD) 2021 hosted by EPFL.

Jan. 2021

• I am starting as a postdoctoral researcher at UC Berkeley.

Dec. 2020

• I am presenting research collaborative work: "Optimal Control of Battery Fast Charging Based-On Pontryagin's Minimum Principle" at IEEE Conference on Decision and Control (CDC), 2020.

• I received Ph.D. in Civil and Environmental Engineering with major in Systems Engineering at University of California, Berkeley. Thanks all of your supports and encouragements!

Aug. 2020

• I am presenting research collaborative work: "Reinforcement learning-based fast charging control strategy for Li-ion Batteries" at IEEE Conference on Control Technology and Applications (CCTA), 2020.

Jul. 2020

• I am teaching a short course on Reinforcement Learning (RL) as a co-instructor in Tsinghua-Berkeley Shenzhen Institute (TBSI).

Jun. 2020

• I am joining as a Research Intern working on System-wide safety assurance in Aeronautics project at NASA Ames Research Center.