Cross-disciplinary Research Network on Artificial Intelligence in Hydrology and Climate Resilience

AI-HYDRO FUTURES is an international research network advancing the application of artificial intelligence in hydrology, water systems, flood risk reduction, and climate resilience. The initiative connects researchers, professors, graduate students, and partner institutions to promote innovation, collaboration, and practical solutions for emerging hydro-climatic challenges.

About AI-HYDRO FUTURES

AI-HYDRO FUTURES was initiated by Dr. Mohamed Saber, Associate Professor (Specific Program), in collaboration with an international team of professors, researchers, and graduate students from Kyoto University and partner institutions worldwide. The initiative is supported by the FY2025 Cross-sectoral Research Platform Development Program, Kyoto University, Japan.

The network promotes cross-disciplinary research at the intersection of artificial intelligence, hydrology, water resources, flood and drought risk management, and climate resilience. By combining scientific innovation with real-world application, AI-HYDRO FUTURES supports the development of future-ready, intelligent, and resilient water solutions.

Project PI

Mohamed Saber, Ph.D., is an Associate Professor (Specific Program) at the Water Resources Research Center, Disaster Prevention Research Institute (DPRI), Kyoto University, Japan. His expertise lies in hydrological research and disaster risk management, with a strong focus on integrating artificial intelligence, including machine learning and deep learning, into hydrological applications to improve forecasting accuracy for floods, suspended sediment concentration, and rainfall.

His work includes the development of advanced hydrological models for wadi flash flood prediction and management, analysis of extreme climate variability and its implications for water resources, floods, and droughts, and the application of remote sensing technologies for hydrological monitoring. His research also extends to flood risk assessment, mitigation planning for vulnerable regions, and sustainable water resources management under climate change. Through his academic leadership and interdisciplinary collaborations, he contributes to strengthening hydrological resilience, disaster preparedness, and global water sustainability.

Objectives

AI-HYDRO FUTURES advances the integration of Artificial Intelligence and Digital Twin technologies in hydrology and water systems to improve real-time prediction, risk assessment, and adaptive decision-making. It promotes intelligent and resilient approaches for addressing hydro-climatic extremes and evolving water challenges.

Scope

AI-HYDRO FUTURES operates at the intersection of AI, hydrological science, and climate resilience. It covers data-driven modeling, flood risk management, infrastructure optimization, smart monitoring systems, and decision-support tools. The initiative embraces hybrid AI-physical approaches, Digital Twins, and multi-source data integration to support practical and scalable solutions for global water resilience.