Parallel computing in GIS
Parallel computing speeds up programs, allowing the usage of large-scale and high-resolution data in a reasonable time. 
Portfolio
Deep learning model for hydraulic engineering
Cutting-edge deep learning models are employed to predict riverbed topography for engineering applications. 
Python packages for geospatial data
Python packages are develped to automatically load and process geospatial data related to river hydraulics. 