Remote Sensing & GIS
AI/ML/DL/CV applications in Earth Observation
Water Resources Engineering & Management
Development of innovative methods for exploiting satellite observations (rainfall, streamflow, soil moisture) for hydrological (rainfall, floods, droughts, landslides), agricultural (irrigation) and archaeohydrological applications
Agro-Hydro-Climatology
Research Tools
RS & GIS
Satellite
Drone Technology
Hyperspectral Imaging
Google Earth Engine
Modeling
AI/ML/DL/CV
Statistics
ENVI, ERDAS Imagine, ArcGIS Pro, QGIS, ERT, SWAT, HEC-HMS, EPANET, STAAD-Pro, AutoCAD
Programming Languages
Python
MatLab
R