Studies and Professional Career

• 2014~2018      BSc. of Mechanical Design and Manufacturing and Automation from Beijing University of Chemical Technology
• 2018~2021      MSc. of Mechanical Engineering from Southeast University
• Since 2022      Ph.D. student at Southeast University
• Since 2024      Visiting Ph.D. student at Technische Universität München

Highlighted Papers

https://doi.org/10.1016/j.jechem.2022.12.028 Deep learning enhanced lithium-ion battery nonlinear fading prognosis

https://doi.org/10.1002/smtd.202301021 Data-Driven Battery Characterization and Prognosis: Recent Progress, Challenges, and Prospects

Research Interest

Machine learning and deep learning for batteries, Physics-informed learning, Explainable learning, and Modeling dynamic processes.