Dr. Mohammad Roohi is a civil engineer and water resources researcher specializing in flood prediction, damage assessment, and sustainable water management. His research integrates hydrological modeling, remote sensing, and artificial intelligence, including machine and deep learning, to support real-time decision-making and disaster mitigation. He has published extensively in high-impact international journals on flood forecasting, climate change impacts, satellite data analysis, and ensemble modeling approaches. His work emphasizes uncertainty analysis, climate resilience, and advanced geospatial techniques, contributing to improved flood risk management, environmental protection, and data-driven water resources planning.