I am an M.Eng. student at Tsinghua University, SIGS, working on AI for energy systems, with a focus on battery safety, thermal management, and scientific machine learning.
My recent research centers on battery thermal safety, including thermal management for Li-ion batteries, thermal runaway severity prediction, and physics-informed ML for energy systems. I am particularly interested in combining machine learning, multiphysics modeling, and domain knowledge to build reliable methods for safety-critical problems.
[Mar 2026] I am currently seeking PhD opportunities for Fall 2027 in Energy-AI, Battery Safety, and Scientific Machine Learning.
- Battery thermal management and safety
- Thermal runaway risk and severity prediction
- Scientific machine learning for energy systems
- Physics-informed and system-level modeling
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Battery Thermal Management
PCM–air hybrid BTMS for UAV Li-ion batteries -
Thermal Runaway Severity Prediction
ML-based prediction using metadata and physics-informed severity indices -
Scientific ML
Encoder–decoder and diffusion models for representation learning in physical systems