About

I am a Ph.D. candidate in Geotechnical Engineering at The Hong Kong Polytechnic University, working with Professor Zhen-Yu Yin.

My research seeks to understand and predict the multiscale behavior of granular materials by integrating advanced experiments, computational mechanics, and artificial intelligence. I use in situ X-ray microtomography and AI-enabled three-dimensional reconstruction and tracking to quantify particle morphology, rearrangement, rotation, breakage, and pore evolution, and translate these observations into high-fidelity DEM and LS-DEM models. The broader goal is to develop physics-aware digital twins that connect particle-scale mechanisms with macroscopic response.

My current interests extend these frameworks toward Physics AI and inverse material design, with the long-term aim of predicting and designing complex granular and architected material systems for intelligent materials and robotics.

More details can be found in my curriculum vitae.