The research interests and expertise cover 1) Hydrology and water resources, 2) Urban and catchment flood management using high precision remote sensing data (Sponge Effect Evaluation for Sponge City Construction in China), 3) Computational hydraulics, 4) Application of deep learning techniques in water resources engineering (deep learning method for inundation detecting). His research vision is to make a secondary development of GAST model, using a based-Multi-GPUs flood modelling approach to mitigate flood risk.