Speakers: Professor Ioana Popescu; Dr. Claudia Bertini and Haris Ali
The webinar explores techniques in hydrodynamic modelling. It highlights advanced computational methods and innovative approaches for predicting and visualizing flood events in river systems, lake water levels are determined based on modelling and remote sensing input data.
You learn how modern technology is transforming our ability to manage water resources, from advanced computational fluid dynamics to remote sensing data integration. The presentations highlight practical applications, making it particularly relevant for professionals working in climate change adaptation.
About the Speakers
Ioana Popescu is Professor of Hydroinformatics at IHE Delft. Her research focuses on computational methods, aspects of flood modelling and vulnerability related to floods, lake and reservoir modelling and water supply systems modelling and optimisation. She is particularly interested in integrating mathematical models into decision support systems. She is a member of several engineering associations and research schools, such as the International Association for Hydro-Environment Engineering and Research (IAHR), the European Geophysical Union (EGU) and of the SENSE research school. Popescu focuses in her work in the area of the physically based modelling, flood modelling, river systems, Decision Support Systems, and hydroinformatics.
Claudia Bertini is a researcher in the Hydroinformatics group at IHE Delft Institute for Water Education. She holds an MSc degree in Civil Hydraulic Engineering and a PhD degree in Environmental and Hydraulics Engineering from Sapienza University of Rome, Italy. Her background in hydrology, with experience in rainfall data analysis, rainfall extreme events, remote sensing, and hydrological modelling.
Haris Ali, PhD candidate and researcher at IHE Delft, in Hydroinformatics and Socio-Technical Innovation department and TU Delft. His research focuses on surface-subsurface hydrological interactions and modelling nature-based solutions for climate adaptation under the EU Horizon 2020 project EIFFEL.
He completed his MSc in Hydroinformatics at IHE Delft and achieved distinction due to his innovative work in developing a semi-automated methodology to incorporate crowdsourced blockage data into flood model. Additionally, he has over five years of professional experience in water management, having served with the Punjab Irrigation. His areas of interest includes: Physically-based catchment modelling; Remote sensing and open datasets; Machine learning-driven surrogate modelling and Web applications and decision support systems
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