CV

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Education

• Ph.D in Mechanical Engineering, University of Notre Dame, U.S.A., May, 2025 (expected)
• B.S. in Energy and Power engineering, Xi’an Jiaotong University, China, 2019

Publications

CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence

Asynchronous Parallel Reinforcement Learning for Optimizing Propulsive Performance in Fin Ray Control

Multi-resolution partial differential equations preserved learning framework for spatiotemporal dynamics

Predicting 3D soft tissue dynamics from 2D imaging using physics informed neural networks

Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control

Awards

• USACM Thematic Conference on Uncertainty Quantification for Machine Learning Integrated Physics Modeling (UQ-MLIP) Travel Award, Aug, 2024

• Society of Engineering Science Annual Technical Meeting (SES2022) funding support, Oct, 2022

• USNCCM16 (\(16^{th}\) U.S. National Congress on Computational Mechanics) Conference Award, May, 2021