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Personal profile


Amir Naghibi received his Ph.D. in Watershed Management Sciences and Engineering from Tarbiat Modares University, Iran, in 2019. Then, he worked on a postdoc project at the Faculty of Engineering and Center for Advanced Middle Eastern Studies (CMES), Lund University where he focused on applying remote sensing and machine learning algorithms for improving management of groundwater resources. He currently works as an associate senior lecturer in the division of Water Resources Engineering. His main research interests include but are not limited to:  

-          Developing AI-based frameworks for modeling and solving water-related issues.

-          Modeling water resources quantity and quality as well as spatial and temporal modeling of natural hazards such as landslides, dust storms, and floods with interdisciplinary approaches. 



He currently teaches:
- Machine Learning for Water Engineers
- Hydromechanics
- Water, Society, and Climate Change

UKÄ subject classification

  • Water Engineering


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