Maoya Bassiouni

Maoya Bassiouni is an academic researcher affiliated with the Department of Civil, Environmental and Geodetic Engineering at The Ohio State University. Their work focuses on ecohydrological processes, water resources engineering, and plant water use strategies. Under the mentorship of Professor Ganti Murthy, they investigate interactions between climate, vegetation, and hydrological systems using advanced modeling and remote sensing techniques.

Research interests include soil moisture dynamics, transpiration patterns in forests, and the application of machine learning to upscale ecological and hydrological variables. Key contributions include developing methods to estimate gross primary productivity (GPP) and improve understanding of crop water-use efficiency in agricultural systems.

Publications highlight expertise in ecohydrological modeling, satellite data analysis, and the integration of physics-based principles with machine learning. Their work spans from tropical forests in Puerto Rico to California’s Central Valley, addressing challenges in climate-vegetation coupling, drought impacts, and sustainable water management.