Mission
To harness data-driven intelligence and system-level modeling that advances human-centered, AI-driven decision support for sustainable water, agricultural, and environmental governance across local, national, and transboundary scales.
About Smart-Geo-AI
A research laboratory at Lund University
Smart-Geo-AI is a research laboratory at Lund University working at the intersection of artificial intelligence, remote sensing, and water resources. We develop human-centred decision support and policy-modelling tools for sustainable water and environmental governance. Members of the Smart Geo-AI team have been featured among Stanford University's World's Top 2% Scientists (2020–2025) and have contributed to leading scientific journals.
The laboratory is based in the Division of Water Resources Engineering, Department of Building and Environmental Technology, Faculty of Engineering, Lund University.
Lab at a glance
- Head of lab: Dr. Amir Naghibi, Associate Professor in Water Resources Engineering
- Research: AI for hydrology and climate resilience, remote sensing, decision support and policy, the water–climate–food–energy nexus (research themes)
- Main project: FARMWISE (Horizon Europe)
- Teaching: Machine Learning for Water Engineers (VVR080F)
Vision
Smart Geo-AI envisions a future where artificial intelligence empowers sustainable water governance, co-developing intelligent systems that support resilient environments, equitable policy frameworks, and adaptive water management under climate stress.
Impact
The lab contributes to United Nations Sustainable Development Goals (SDGs): 2 – Zero Hunger; 6 – Clean Water and Sanitation; 11 – Sustainable Cities and Communities; 12 – Responsible Consumption and Production; 13 – Climate Action; 15 – Life on Land
Values
Bridging computational innovation with social and institutional realities, the lab designs inclusive, evidence-based technologies that connect science, policy, and practice for equitable water and environmental decision-making.