AI for Water Resources Management: Technological Advances and Future Perspectives

The [WRSA-HHU Talk] series hosts cutting-edge discussions on water resources and sustainability. This session focuses on how AI technologies—such as machine learning, deep learning, and data-driven modeling—are transforming the way we monitor, predict, and manage water resources. Topics include real-time flood forecasting, intelligent irrigation, drought prediction, and integrated water system optimization. The talk also addresses challenges and ethical considerations in deploying AI for water security in a changing climate.

Dr. Xiang Zhang is a researcher specializing in artificial intelligence applications in environmental and water resources systems. He holds a Ph.D. in Civil and Environmental Engineering from a leading university and has published extensively on AI-driven modeling and decision support systems for water management.