معرفی
Vidya Samadi is a Research Professor at Clemson University, leading the Hydroinformatics Research Group. Her work bridges cyberinfrastructure, data analytics, and water resources management across interdisciplinary domains, including the College of Agriculture, College of Engineering, and School of Computing. She focuses on creating sophisticated, user-friendly software to address complex water management challenges.
Her research interests span
- Machine learning for hydrology and flood prediction
- Deep learning architectures (e.g., Transformers, recurrent networks)
- Reinforcement learning applications in irrigation and reservoir management
- Cyberinfrastructure development for water science
- Uncertainty quantification in hydrological models
- Explainable AI for environmental decision-making
Recent publications highlight trends in applying cutting-edge ML/DL models (N-BEATS, N-HiTS, Transformers) to soil moisture prediction, flood analytics, and irrigation optimization. Her work integrates physics-informed neural networks, probabilistic frameworks, and multimodal data (e.g., satellite imagery, sensor networks) for scalable water management solutions.
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