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Dr. Mohamed Fathi Said has expertise in surface hydrologic simulation, climate change analysis, geomorphological modeling, and flood mapping, employing both physics-based methods and deep learning (DL) techniques. His academic background and teaching experience span a broad spectrum of Civil Engineering topics, reflecting a longstanding dedication to hydrological and environmental studies since his undergraduate years. Currently, Dr. Said's research centers on leveraging advanced DL tools to address critical challenges in water resource management. Through his work, he is deeply committed to teaching and mentoring engineering students, aiming to inspire them and equip them with the skills and vision needed to become the next generation of researchers and leaders in the water resources field.

Dr. Said鈥檚 research has significantly advanced the field of environmental modeling and has been published in leading journals such as Water Resources Research, Environmental Modelling & Software, Journal of Hydrology, Water Resources Management, and Scientific Reports. His impactful contributions have been recognized through several awards, including the Outstanding Doctoral Student Award from the College of Engineering and the prestigious 2025 Paul F. Boulos Excellence in Computational Hydraulics/Hydrology Award, presented by the American Academy of Environmental Engineers and Scientists (AAEES) in partnership with the AEESP.

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