CMES Research Seminar: Application of Artificial Intelligence for Sustainable Development in the Middle East
All warmly welcome!
Presentation by Seyed Amir Naghibi, CMES, Water Resource Engineering, Lund University
The Middle East faces many environmental challenges which have been mainly stemmed from climate change, mismanagement and overuse of natural resources, and conflicts. These challenges include but are not limited to dust storms, water-related problems, land subsidence, landslides, and floods leading to financial damages and life losses each year. These phenomena are impacted by a wide range of complex and nonlinear factors. To deal with these complexities, one efficient way is to use artificial intelligence to model them. In this seminar, some of the previous projects on using artificial intelligence to solve geospatial issues such as groundwater potential, groundwater quality, and land subsidence will be discussed, and the results will be presented. Overall, such studies generate spatial information and guidelines to help policymakers to have a more accurate understanding of the problems, the reasons behind them, and finally, make better decisions to reduce socio-economic issues and lead to sustainable development.
Amir received his Ph.D. in Watershed Management Sciences and Engineering in 2019 from Tarbiat Modares University, Iran. He currently works as a postdoc at Faculty of Engineering and Center for Middle Eastern Studies (CMES), Lund University. His project mainly focuses on applying remote sensing, machine learning algorithms, and programming to manage water resources and natural hazards. Amir’s research interests lie in the fields of groundwater management, programming and modelling, remote sensing application in natural resources management, natural hazards modelling, artificial recharge.
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