Lead and support interdisciplinary research for development (R4D) projects focused on applying remote sensing, GIS, AI, and geospatial analytics applications to improve water resources management, irrigation efficiency, agricultural productivity, and climate resilience in arid and saline environments.

• Lead research on the application of GRACE/GRACE-FO, InSAR, GIS, and Earth Observation data for groundwater monitoring, aquifer sustainability assessment, and water resources management.
• Apply remote sensing techniques for land use/land cover mapping, salinity assessment, drought monitoring, evapotranspiration analysis, and agricultural water productivity evaluation.
• Develop AI- and machine learning-based decision support tools for water management, precision agriculture, and irrigation scheduling.
• Support the integration of satellite data and geospatial analytics into hydrological and agricultural modeling frameworks. <...