AI for Hydrology and Climate Resilience
Developing machine learning models for drought forecasting, flood prediction, and climate impact assessment in river basins and agricultural systems.
Research
Research Themes
Remote Sensing and Earth Observation
Using satellite missions such as Sentinel, Landsat, and SWOT to monitor inland water quality, land-use change, and surface elevation dynamics.
Decision Support through Governance and Policy Integration
Translating AI-driven spatial analysis into governance-ready frameworks that inform sustainable policies and water diplomacy initiatives.
Water–Climate–Food–Energy Nexus
Modeling interdependencies across natural and human systems to support holistic decision-making at local, regional, and global scales.
Co-creation and Stakeholder Engagement
Combining technical modelling with participatory and co-design methods to ensure AI systems are relevant and actionable for practitioners.
Application Areas
Remote Sensing & Environmental Monitoring
Applying satellite, drone, and in‑situ sensing with GeoAI to track water, vegetation, and environmental change. Our analytics support real‑time monitoring of lakes, rivers, cropland, and ecosystems for sustainable resource management.
Precision Agriculture & Water Management
Combining artificial intelligence, IoT, and Earth observation to optimize irrigation, soil health, and crop yield. Our models support climate‑smart farming and data‑driven decisions for farmers and agricultural advisers.
Collaborative Work & Co‑Creation
Engaging farmers, researchers, institutions, and policymakers in participatory design and validation of data solutions. Co‑creation ensures that our tools and models meet real‑world water, food, and policy needs.
Corporate Strategy & Decision Support
Advising public and private actors on strategic use of geospatial data and AI for sustainability planning. Our decision‑support frameworks link environmental intelligence to policy design, innovation pathways, and corporate resilience.