Md Golam Sarwar

– Developing a coupled 1D–2D hydrodynamic flood model for a 33 km² urban pilot area in Hanoi using the Rana/3Di platform. – Calibrating the model against Typhoon Bualoi using Sentinel-1 SAR-derived flood extents; targeting CSI ≥ 0.6 and SI ≥ 0.65. – End-to-end project delivery: DEM & bathymetry processing, drainage network digitisation, mesh optimisation, parameter calibration, independent validation, and full reproducibility documentation. – Model output feeds directly into a routing engine identifying safest road paths during flood events; prototype designed for future scaling to larger Hanoi areas.

– Built Python pipelines (pandas, numpy, matplotlib) to clean, process and visualise hydrometeorological time series, reducing manual processing time by ~60%.

– Supported hydrological model calibration and validation using performance metrics (NSE, KGE); documented model uncertainty for client reporting.

– Produced technical reports and interactive dashboards to communicate flood risk results to non-technical decision-makers.

– Produced hydraulic hazard maps in QGIS combining modelled water depths and velocities with land use data.

– Reconstructed sub hourly rainfall–runoff time series from Paris IDF curves to create reference datasets for analysis.

– Developed and calibrated GR4H conceptual hydrological models; simulated extreme rainfall events.