Contact Information
Reach Dr. Hamid Moradkhani directly by phone or email, or via the Center for Complex Hydrosystems Research at The University of Alabama.
Direct contact
- Phone (205) 348 9125
- Email hmoradkhani@moradkhani.net
- Academic affiliation Alton N. Scott Professor of Civil and Environmental Engineering, The University of Alabama
- Center Director, Center for Complex Hydrosystems Research
Affiliation
Dr. Hamid Moradkhani holds the Alton N. Scott Professorship in Civil and Environmental Engineering and directs the Center for Complex Hydrosystems Research at The University of Alabama.
Research focus
The research team works on hydrologic science and water resources system analysis, with themes in data revolution, predictive science, uncertainty analysis, machine learning, data analytics, and high-performance computing. Questions about collaboration can be directed to the contact details above.
- Data Assimilation and Remote Sensing
- Drought Modeling
- Climate Variability and Change
- Hydrologic Modeling
- Extreme Events and Flood Modeling
This personal website belongs to an academic whose work centers on hydrology, drought, flood, and the modeling of complex water systems. The research themes listed throughout the site include climate variability, data assimilation, Bayesian inference, probabilistic forecasting, remote sensing, multi-model ensembles, and post-processing, all of which point toward a single concern: making predictions about water resources more reliable and less uncertain. Rather than a promotional brochure, the site reads like a working bulletin, with sections for publications, teaching materials, research aims, and contributions, updated periodically as new work appears.
The research program described here draws on computational methods such as model downscaling, distributed modeling, ensemble techniques, and machine learning, with an emphasis on harnessing high-performance computing for hydrologic applications. A recurring theme is the quantification of uncertainty, whether in extreme events, multi-model prediction, or the recovery of hydrologic systems after disruption. Alongside these technical strands sit applied questions about risk, vulnerability, efficiency, and mortality in the context of water and climate hazards, giving the modeling work a public-interest dimension and a connection to sustainable management of complex hydrosystems.
The site also highlights interactive tools and resources: maps, analysis features, monitoring material, and downloadable datasets, many of which are referenced through satellite mission products and remote sensing imagery. These resources reflect a laboratory practice of sharing code and outputs openly so that others can reproduce, extend, or critique the results. Courses and teaching notes appear alongside the publication record, suggesting that the same body of work serves both a training function for students and a communication function for practitioners and the wider research community.
The contact page itself is deliberately plain and utilitarian, offering a phone number, an email address, and an institutional route through the affiliated research center and university department. Around that information, the page restates the academic's affiliation and title, framing the individual as a faculty member and center director whose research group works at the intersection of hydrology, meteorology, and computational science. The overall impression is of a working academic homepage maintained for clarity: dense text, compact sections, and a clear emphasis on research content over personal branding.