Dr. Muhammad Rashid is an emerging researcher in Environmental Science with expertise in hydrological modeling, groundwater surface water interaction, and climate change impact assessment. His research combines advanced tools such as GIS, remote sensing, and machine learning to evaluate flood risks, groundwater sustainability, and land-use dynamics. He has contributed to interdisciplinary studies focusing on environmental resilience, water resource optimization, and predictive modeling for hydrological extremes. With 5 research documents, 17 citations, and an h-index of 3, his work highlights the integration of data-driven methodologies to address complex environmental challenges. His research supports sustainable development goals by improving water management strategies and enhancing understanding of climate-driven hydrological processes, contributing to innovative and scalable solutions in environmental science.