Umair Rasool is a dedicated and career-driven hydro-environmentalist with expertise in surface hydrology, flood modeling, and spatial data analysis. Holding a PhD in Environmental Sciences, his research focuses on pluvial flood modeling and risk assessment using advanced machine learning algorithms and GIS-based techniques. He has a proven track record of impactful research on urban hydrology, water quality, and environmental systems, with publications in renowned scientific journals.

In addition to his technical expertise, Umair has extensive experience in interdisciplinary research, international conferences, and multicultural collaborations. Proficient in tools such as ArcGIS and remote sensing platforms, he aims to bridge the gap between science, policy, and practical solutions to foster sustainable environmental practices.

His work reflects a commitment to addressing global environmental challenges through innovative approaches.