PARTNERS AND COLLABORATORS
Introduction
Our partners and collaborators bring together expertise from leading universities and research institutions across Japan, Iran, Oman, Kuwait, Algeria, the United Kingdom, and Luxembourg. They represent a diverse network of scholars and researchers working in hydrology, water resources engineering, hydroinformatics, artificial intelligence, flood and drought risk assessment, computational hydraulics, groundwater systems, and climate-related hazards.
Through this international collaboration, the initiative benefits from a strong exchange of knowledge, innovative methods, and interdisciplinary perspectives that support advanced research, capacity building, and practical solutions for water and environmental challenges.
Global Map
Explore the global reach of AI-HYDRO FUTURES through our growing network of partner countries and collaborating institutions.
Partner Countries and Institutions
Japan
Prof. Mohamed Saber (Project PI)
Affiliation: DPRI, Kyoto University, Japan
Rank/Position: Associate Professor (Specific Program)
Research interests: Flood forecasting and risk management, hydrometeorological analysis, climate change, water resources management, reservoir sedimentation, remote sensing and GIS, and machine learning applications in flash flood assessment
Prof. Sameh Kantoush
Affiliation: DPRI, Kyoto University, Japan
Rank/Position: Professor
Research interests: Shallow flow and sediment transport, flash flood and wadi systems, reservoir sustainability and sedimentation, ecohydraulics, dam impacts, and transboundary river management.
Prof. Sunmin Kim
Affiliation: Department of Civil & Earth Resources Engineering, Kyoto University, Japan
Rank/Position: Associate Professor
Research interests: Machine learning for hydrological modeling, real-time flood forecasting, climate change impact analysis, frequency analysis, and water resources engineering.
Eng. Amirreza Tabataba Vakili
Affiliation: DPRI, Kyoto University, Japan
Rank/Position: Graduate Researcher / PhD Student
Research interests: Hydroclimatic uncertainty analysis, extreme precipitation prediction, teleconnections, climate change impacts, and hydrological applications of data-driven methods.
Eng. Hadir Abdelmoneim Moustafa
Affiliation: DPRI, Kyoto University, Japan
Rank/Position: Graduate Researcher / PhD Student
Research interests: Hydrology, flood risk analysis, remote sensing, flood inundation modeling, climate change and teleconnections, and machine learning for hydro-hazard assessment.
Eng. Sinh Nguyen Phuoc
Affiliation: DPRI, Kyoto University, Japan
Rank/Position: Graduate Researcher / Student
Research interests: Real-time flood forecasting, hydrological modeling, deep learning and hybrid forecasting models, reservoir safety, and climate change impacts on flood and sediment dynamics.
Iran
Prof. Vahid Nourani
Affiliation: University of Tabriz, Iran
Rank/Position: Professor
Research interests: Rainfall-runoff modeling, artificial intelligence in water resources engineering, hydroinformatics, computational hydraulics, and analysis of hydroclimatic extremes.
Oman
Dr. Hussam Eldin Elzain
Affiliation: Water Research Center, Sultan Qaboos University, Oman
Rank/Position: Environmental Hydrogeologist / Researcher
Research interests: Groundwater hydrogeology, water and environmental systems, GIS-based hydro-environmental analysis, and AI and machine learning applications in groundwater and surface water studies.
Kuwait
Prof. Rami Al-Hajj
Affiliation: American University of the Middle East (AUM), Kuwait
Rank/Position: Associate Professor
Research interests: Machine learning, data mining, pattern recognition, optimization, and computational intelligence.
Prof. Emad Mabrouk
Affiliation: American University of the Middle East (AUM), Kuwait
Rank/Position: Associate Professor
Research interests: Computational intelligence, machine learning, data science, metaheuristics, memetic programming, classification, and optimization.
Algeria
Prof. Tayeb Boulmaiz
Affiliation: Department of Hydraulic, University of Badji Mokhtar Annaba, Algeria
Rank/Position: Professor
Research interests: Hydrology, flood modeling, remote sensing, machine learning for flood detection and hazard assessment, watershed hydrology, and water resources management.
United Kingdom
Prof. Qiuhua Liang
Affiliation: Loughborough University, United Kingdom
Rank/Position: Professor of Water Engineering; UNESCO Chair in Informatics and Multi-hazard Risk Reduction
Research interests: Computational hydraulics, numerical modeling, flood simulation and forecasting, and applications to disaster risk reduction for floods, tsunamis, debris flows, and landslides.
Luxembourg
Dr. Mohammad Mahdi Rajabi
Affiliation: University of Luxembourg, Luxembourg
Rank/Position: Researcher / Postdoctoral Researcher
Research interests: Machine learning, physics-informed neural networks, computational fluid dynamics, groundwater and streamflow modeling, and multiscale hydro-mechanical systems.