Profile
Muhammad Mobeen holds a PhD in Flood Risk and Climate Change Adaptation from the University of Hamburg, Germany. With an academic foundation as a geographer, he also earned an M.Phil. in Geography and an M.Sc. with Distinction.
Dr. Mobeen specializes in advanced statistical and spatial modeling techniques, including Structural Equation Modeling (using SmartPLS, R, Python), Agent-Based Modeling (using NetLogo, R, Python), and Spatial Data Modeling (using ArcGIS, ArcGIS Pro, and Google Earth Engine through GEEMAP). His research expertise lies at the intersection of climate change adaptation, flood risk management, and agricultural resilience, leveraging his strong analytical and geospatial skills to address complex environmental challenges.