Hamid Moradkhani Alton N. Scott Professor of Civil and Environmental Engineering · Director, Center for Complex Hydrosystems Research, The University of Alabama

For placement in the group, coursework enquiries, or collaboration requests, use the contact details listed on the contact page.

The people page of this academic site describes the members of the Moradkhani research group at the University of Alabama, a team working across hydrologic science and water resources system analysis. The group's direction combines field observation with computational modeling, so students and collaborators contribute both to monitoring campaigns and to the modeling frameworks built to interpret them. Membership spans graduate students, researchers, and faculty collaborators who share an interest in water, climate, and the analysis of complex hydrosystems.

The research themes highlighted for the team center on the data revolution, predictive science, and uncertainty analysis, with machine learning, data analytics, and high-performance computing as enabling tools. These themes reflect the broader aims of the Center for Complex Hydrosystems Research, where the emphasis is on advancing predictive capability for water resources system analysis and on understanding interactions among hydrologic processes, including drought, flood, and extreme events.

The methods used across the group include data assimilation, remote sensing, downscaling, multi-model and ensemble approaches, and probabilistic postprocessing techniques. These methods support the characterization and quantification of hydrologic variability and vulnerability, and they connect observational streams such as soil moisture and meteorological records with forecasts of streamflow and water availability. Interactive maps, visualization tools, and analysis resources are developed to help translate model output into understandable information for decision makers.

Beyond the technical work, the group emphasizes research that contributes to sustainable water management and to practical outcomes for society. Post-disaster recovery, resource efficiency, and the risk associated with extreme hydrological and meteorological events are recurring concerns, and the research is framed around the idea of harnessing computational advances to produce results that are useful to water managers and to the public. Publications, courses, and shared resources document the group's contributions and provide a foundation for future students and collaborators.