Antara Dasgupta

Antara Dasgupta serves as Junior Professor for Data-driven Computing in Civil Engineering at RWTH Aachen University within the Faculty of Architecture and Civil Engineering. Her position at the Institute of Hydraulic Engineering and Water Resources Management (IWW) focuses on integrating advanced computational methods with civil engineering applications, particularly in hydrological systems and flood risk management.

Her research centers on flood inundation mapping through satellite remote sensing and machine learning, with specialized expertise in Synthetic Aperture Radar (SAR) data analysis. Key interests include data assimilation techniques for hydrological models, flood forecasting system optimization, and developing solutions for challenging environments like arid regions. She actively explores citizen science applications in hydrology and infrastructure resilience against flash floods, emphasizing the translation of research into operational forecasting systems.

Recent publications reveal a concentrated effort on enhancing flood detection accuracy using multi-source satellite data (Sentinel-1, Capella SAR) and deep learning, with significant focus on overcoming arid region limitations. Her work bridges global-scale hydrological modeling with local flood management through international collaborations like the Global Flood Partnership, while advancing validation methodologies for Earth observation flood maps and urban infrastructure resilience.

She is affiliated with RWTH Aachen's Institute of Hydraulic Engineering and Water Resources Management (IWW), contributing to research on sustainable water resource management and flood risk reduction through advanced computational approaches.