Mostafa Saberian, Flood Risk Research Scientist at The Water Institute, supports the development of probabilistic, physics-based, data-informed frameworks to support current and future flood hazard quantification. He also conducts frontier research and development in flood and disaster intelligence.

Mostafa brings extensive experience in hydroinformatics, flood modeling, neural network modeling, and deep learning to the Institute. His past research spans deep neural networks for flood predictions, deep learning-based pluvial flood mapping, deep neural networks for probabilistic flood prediction, and cellular automata application for optimization of cascade water reservoirs. He is the recipient of numerous research fellowship grants and the author of several publications at the intersection of hydrology, deep learning, and AI.

He earned his Ph.D. in Civil Engineering with a concentration in Water Resources from Clemson University, his master’s in civil engineering from Amirkabir University of Technology, and bachelor’s in civil engineering from Iran University of Science and Technology. In addition to his research experience, Mostafa brings proficiency in numerous programming languages, deep learning frameworks, machine learning platforms, and geospatial tools to the Institute