Vidya Samadi, Ph.D., M.ASCE

• Assistant Professor of Water Resources Engineering at Dept. of Agricultural Sciences & Affiliate Faculty at Artificial Intelligence Research Institute for Science & Engineering,School of Computing
• Visiting Academic Fellow, Division of Civil Engineering, Department of Engineering, University of Cambridge, England.


Office:
Phone:

Email: samadi@clemson.edu
Personal Website: http://hydro-informatics-lab.com/

Educational Background

Research Assistant Professor of Water Resources Engineering
Department of Civil and Environmental Engineering,School of Engineering and Computing, University of South Carolina.

Postdoc in Water Resources Management
The Carolinas Integrated Sciences & Assessments (CISA; NOAA-funded research center), University of South Carolina.

Postdoc in Civil Engineering-Water Resources
Hydro-environmental Research Centre (HRC), Department of Civil Engineering, School of Engineering, Cardiff University, United Kingdom.

Ph.D. (D.Engr.)
Water Science and Engineering.

M.S. (M.Engr.)
Water Engineering, University of Tehran, Iran.

Courses Taught

-Computational Methods in Water Resources (Clemson University)
-GIS in Civil and Environmental Engineering (UofSC)
-GIS in Water Resources Engineering (UofSC)
-Research in Civil Engineering (UofSC)
-Doctoral Dissertation Research in Civil Engineering (UofSC & Clemson University)
-Doctoral Dissertation Research in Agricultural Sciences(Clemson University)
-Master’s Thesis Research in Computer Science (Clemson University)
-River Basin Management (Cardiff University & UofSC)
-Engineering Hydrology (UofSC)
-Advanced Hydrology (co-taught with prof. Meadows of UofSC)
-Senior Design in Civil Engineering (co-taught with prof. Meadows of UofSC)

Profile

Dr. Vidya Samadi is an Assistant Professor in Water Resources Engineering at Clemson University. Her research focuses on advancing the field of hydroinformatics and cyber-physical systems, specifically developing analytics and artificial intelligence (AI) computing systems for water system modeling including surface water informatics, irrigation hydrologic modeling, and water system management. Dr. Samadi is accepted into the 2024 cohort of NSF-Civil, Mechanical, and Manufacturing Innovation (CMMI)’s Game Changer Academies for Advancing Research Innovation. She received the 2024 Universities Council on Water Resources (UCOWR) Mid Career Award for Applied Research for her research work on hydroinformatics and water system modeling. She was a panelist for the 2023 National Academies of Engineering & the U.S. Government Accountability Office (GAO) Expert Meeting on AI in Environmental Modeling: Storms, Floods, and Wildfires. Dr. Samadi was honored with the American Society of Civil Engineers (ASCE) Technical Merit Award and the ASCE Outstanding Reviewer Award. She has served as Chair of the Consortium of Universities for the Advancement of Hydrologic Science (CUAHSI) Informatics Committee and a Board Member of the International Environmental Modelling & Software Society.

Research Interests

Dr. Samadi's research focuses on hydroinformatics and cyber-physical modeling systems, an interdisciplinary approach combining water resources engineering, computer science, and data analytics. The goal is to leverage advanced modeling and computing tools to address problems and challenges associated with water resource systems. Much of her current work is focused on machine learning applications in water resources and built environment domains. Vidya’s research has been consistently supported by various NSF programs (CBET, CMMI, Geo cyberinfrastructure, OAC) as well as by other agencies such as USGS, USDA, Savannah River National Lab, NOAA, and the Department of Transportation (DOT).

Recent Funded Projects (selected)
-Sole PI on the NSF CBET FloodEngine Project (NSF CBET #2429082)
-Lead PI on the NSF CyberTraining for Water Science (NSF OAC Award #2320979)
-Lead PI on the NSF SCC for Evacuation Planning Tool Development (NSF CMMI #2125283)
-Lead PI on the USDA-NIFA Irrigation Tool Development (NIFA #2023-67022-40555)
-Sole PI on the USGS Water Use Autonomous Agents Project (USGS #2024917)
-Lead PI on the Sustainable Agriculture Research and Education

Special Awards, Honors, & Distinctions (selected)
- NSF Cybertraining PI meeting organizing team. NSF Directorate for Technology, Innovation and Partnerships. 2025.
- “Panel Fellow”. Cohort of NSF- Civil, Mechanical and Manufacturing Innovation’s Game Changer Academies for Advancing Research Innovation. 2024.
- Mid-Career Award for Applied Research. UCOWR. 2024.
- Panelist, the National Academies of Engineering & GAO Expert Meeting on Artificial Intelligence in Natural Hazard Modeling Severe Storms, Hurricanes, Floods, and Wildfires. 2023.
- Technical Merit Award. "Flood Evaluation Tool". The American Society of Civil Engineers. 2023.

Students Awards, Honors, & Distinctions (selected)
- Mostafa Saberian (Ph.D.). CUAHSI and the National Water Center Water Innovators Program Summer 2025 Institute.
- Lisa Umutoni (Ph.D.). The American Society of Civil Engineers 2024 Young Civil Engineer Award. August 2024.
- Mostafa Saberian (Ph.D.). Early Career Researcher Fellowship. The Young Earth System Scientists, AGU H3S, the Japanese Early Career Researcher community, GEWEX, and the World Climate Research Programme . July 2024.
- Rishav Karanjit (M.Sc.). Best Oral Presentation Award. UCOWR. June 14, 2022.
-Lisa Umutoni (Ph.D.). Sustainable Agriculture Research and Education Graduate Student Fellowship. 2022-2024.
-Sadegh Sadeghi-Tabas (Ph.D.). CUAHSI and the National Water Center Water Innovators Program Summer 2021 Institute.

Extension and Outreach

Dr. Samadi serves on the WMO-Global Energy and Water Exchanges (GEWEX) Hydrometeorology Panel (GHP). She also serves as a board member of the International Environmental Modelling and Software Society. At the state level, Vidya works collaboratively with state stakeholders and other officials across the state of South Carolina to address water research and outreach.

Publications

Recent Research Papers (please refer to my Google Scholar for a full list of publications)
* Denotes graduate students under my supervision.

1. Zafarmomen, N*. and Samadi, V., 2025. Can Large Language Models Effectively Reason about Adverse Weather Conditions? Environmental Modelling & Software, p.106421.
2. Vidya Samadi, Hayley J. Fowler, Jessica Lamond, Thorsten Wagener, Manuela Brunner, Jonathan Gourley, Hamid Moradkhani, Ioana Popescu, Conrad Wasko, Daniel Wright, Huan Wu, Ke Zhang, Paola Andrea Arias Gomez, Qingyun Duan, Ali Nazemi, Petrus J van Oevelen, Andreas Prein, Joshua K. Roundy, Mostafa Saberian*, Lisa Umutoni*. 2025. The Needs, Challenges, and Priorities for Advancing Flood Research. Wiley WIREs Water.
3. Sadeghi Tabas S.*, Samadi V. 2024. Fill-and-Spill: A Novel Deep Reinforcement Learning for Water Infrastructure Management and Control. ASCE Journal of Water Resources Planning and Management, 150(7), p.04024022.
4. Guido, B. I.*, Popescu, I., Samadi, V., and Bhattacharya, B.2023. An integrated modeling approach to evaluate the impacts of nature-based solutions of flood mitigation across a small watershed in the southeast United States. The EGU Journal of Natural Hazards and Earth System Sciences. https://doi.org/10.5194/nhess-2022-281.
5. Windheuser L. *, Karanjit, R. *, Pally R. *, Samadi, S., and N.C. Hubig. 2023. An End-to-End Flood Gauge Height Prediction System Using Deep Neural Networks. The AGU Earth and Space Science, 10(1), p.e2022EA002385.
6. Phillips, R. C.*, Samadi, S., Hitchcock, B.D., Meadows, M., Wilson C. A. M.E. 2022. The devil is in the tail dependence: An assessment of multivariate copula-based frameworks and dependence concepts for coastal compound flood dynamics. The AGU Journal of Earth’s Future, p.e2022EF002705.
7. Sadeghi Tabas S.*, Samadi S. 2022. Variational Bayesian Dropout with a Gaussian Prior for Recurrent Neural Networks Application in Rainfall-Runoff Modeling. Environmental Research Letters.DOI:https://doi.org/10.1088/1748-9326/ac7247
8. Pally, R.*, Samadi S. 2022. Application of Image Processing and Convolutional Neural Networks for Flood Image Classification and Semantic Segmentation. Environmental Modelling & Software. 148, p.105285.
9. Samadi S., Pourreza-Bilondi M., Wilson C. A. M.E., Hitchcock, B.D. 2020. Bayesian Model Averaging with Fixed and Flexible Priors: Theory, Concepts, and Calibration Experiments for Rainfall-Runoff Modeling. The AGU Journal of Advances in Modeling Earth Systems. 12(7), p.e2019MS001924.

Software Patents
1. Pally, R. *, Kranjit, R. *, Sadeghi Tabas, S*. Samadi, S., 2022. Image processing and semantic segmentation for flood image analytics and inundation mapping. Software/Copyright Disclosure - Tech ID: 2022-049
2. Donratanapat, N.*, Kranjit, R. *, Sadeghi Tabas, S*. Samadi, S., 2022. Flood Analytics Information System (FAIS). Software/Copyright Disclosure - Tech ID: 2023-003.

Software/Package (selected)
1. Pally, R.*, and Samadi, S. 2022. A Python tool for Flood Image Classification and Semantic Segmentation (funded by NSF). Released strictly using the MIT license.
2. Donratanapat, N.*, Samadi S., and Vidal, J. 2019. “FAIS”: Flood Analytics Information System (funded by NSF). Released strictly using the MIT license.
3. Sadeghi Tabas, S.*, Samadi S. 2019. A Web GIS Project Screening Tool (PST, ArcGIS API for JavaScript) for Environmental Assessment(funded by SCDOT).

Links