Real-time 2D flood inundation forecasting for the Brahmaputra River basin
Hydrologic, hydrodynamic and statistical-dynamical approaches for flood forecasting.
Department of Civil Engineering
Research at the intersection of hydrology, river systems, flood and erosion management, groundwater, modelling, optimization and artificial intelligence.

The research programme combines physical understanding of water systems with mathematical modelling, field observations, remote sensing, optimization and data-driven methods.
Explore the research portfolio →Hydrologic processes, rainfall–runoff, hydrographs and basin response.
Flood modelling, vulnerability, river morphology and protection.
Management, pollution source identification and aquifer processes.
ANN, genetic algorithms and simulation–optimization.
Hydrologic, hydrodynamic and statistical-dynamical approaches for flood forecasting.
River morphology and sedimentation assessment for applied water-resources engineering.
Model-based studies supporting protection planning at vulnerable river reaches.
Engineering understanding of precipitation, evaporation, infiltration, watershed response, streamflow generation, hydrographs and rainfall–runoff modelling.
Course pageInstitute and departmental responsibilities are presented separately from the academic career.
Selected work covers water resources, groundwater, river systems, climate, optimization and computational methods.
Field observations provide the physical context for interpreting channel behaviour, erosion, hydraulic structures and water-resources systems.
Open field-work gallery →

