We investigate the thermal, hydraulic, and mechanical behavior of frozen geomaterials and develop advanced artificial ground freezing technologies for underground construction. Our research integrates laboratory experiments, field monitoring, numerical simulation, and data-driven approaches to understand freezing–thawing processes and improve the design and performance of frozen ground systems. 

We develop data-driven and physics-informed computational methods for understanding, predicting, and identifying complex geotechnical behavior. By integrating machine learning with physical principles, numerical simulations, and experimental observations, we aim to build interpretable and generalizable models for geotechnical engineering. 

We study the coupled hydro-mechanical behavior and sealing performance of natural and engineered geomaterials for subsurface containment systems. Our research focuses on caprock integrity, clay barriers, CO2 breakthrough, permeability evolution, fracture self-sealing, and fluid–clay interactions under complex stress and chemical conditions. 

We investigate the behavior, construction, and risk management of underground infrastructure, with particular emphasis on mechanized tunneling and ground–structure interaction. Our research combines field measurements, numerical simulations, sensing technologies, and artificial intelligence to improve the safety and reliability of underground construction.