
Amir Naghibi
Researcher

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 Centre for Advanced Middle Eastern Studies (CMES), Lund University where he focused on applying remote sensing and machine learning algorithms to manage 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 with a focus on the Middle East.
Publications
Displaying of publications. Sorted by year, then title.
Determining the influence of meteorological, environmental, and anthropogenic activity variables on the atmospheric CO2 concentration in the arid and semi-arid regions : A case study in the Middle East
Seyed Mohsen Mousavi, Naghmeh Mobarghaee Dinan, Korous Khoshbakht, Saeed Ansarifard, Oliver Sonnentag, et al.
(2025) Atmospheric Research, 319
Journal articleEnhancing Pan evaporation predictions : Accuracy and uncertainty in hybrid machine learning models
Khabat Khosravi, Aitazaz A. Farooque, Amir Naghibi, Salim Heddam, Ahmad Sharafati, et al.
(2025) Ecological Informatics, 85
Journal articleUnraveling the link between agricultural patterns and dust storm occurrence in Mesopotamia
Hossein Hashemi, Abdulhakim M. Abdi, Amir Naghibi, Pengxiang Zhao, Sara Brogaard, et al.
(2025) Environmental Research Letters, 20
Journal article (letter)Macroecological predictors to determine future refuges of Luciobarbus species in the Tigris–Euphrates basin : Rethinking conservation strategies and management
Hadi Khoshnamvand, Seyed Mohsen Mousavi, Asef Darvishi, Kourosh Ahmadi, Amir Naghibi, et al.
(2025) Global Ecology and Conservation, 57
Journal articleA different destiny after the ice age : Impacts of climate change on the global biogeography of Carasobarbus
Hadi Khoshnamvand, Asghar Abdoli, Karel Janko, Seyed Mohsen Mousavi, Kourosh Ahmadi, et al.
(2025) Environmental and Sustainability Indicators, 26
Journal articleDust source susceptibility in the lower Mesopotamian floodplain of Iraq
Ali Al-Hemoud, Amir Naghibi, Hossein Hashemi, Peter Petrov, Hebah Kamal, et al.
(2024) Remote Sensing Applications: Society and Environment, 36
Journal articleEnhanced TDS Modeling Using an AI Framework Integrating Grey Wolf Optimization with Kernel Extreme Learning Machine
Maryam Sayadi, Behzad Hessari, Majid Montaseri, Amir Naghibi
(2024) Water (Switzerland), 16
Journal articleClimate change dominated runoff change in the eastern Tibetan Plateau
Zhongrui Ning, Jianyun Zhang, Hossein Hashemi, Fernando Jaramillo, Amir Naghibi, et al.
(2024) Catena, 245
Journal articleEnsemble of pruned bagged mixture density networks for improved water quality retrieval using Sentinel-2 and Landsat-8 remote sensing data
Alireza Taheri Dehkordi, Hossein Hashemi, Seyed Amir Naghibi, Ali Mehran
(2024) IEEE Geoscience and Remote Sensing Letters, 21
Journal articleA Literature Review of Probabilistic Hygrothermal Assessment for Building Envelopes
Mohsen Bayat Pour, Jonas Niklewski, Seyed Amir Naghibi, Eva Frühwald Hansson
(2024) Building and Environment, 261
Journal article reviewAssessing the impact of global carbon dioxide changes on atmospheric fluctuations in Iran through satellite data analysis
Seyed Mohsen Mousavi, Naghmeh Mobarghaee Dinan, Saeed Ansarifard, Golnaz Darvishi, Faezeh Borhani, et al.
(2024) Journal of Water and Climate Change, 15 p.2774-2791
Journal articleA Numerical Method for InSAR-Based Estimation of Head Changes using Storativity Parameters
Behshid Khodaei, Hossein Hashemi, Mazda Kompani-Zare, Seyed Amir Naghibi, Ronny Berndtsson
(2024)
Conference paper: abstractClimate-Change-Driven Shifts in Aegilops tauschii Species Distribution : Implications for Food Security and Ecological Conservation
Shirin Mahmoodi, Mohammad Jaffar Aghaei, Kourosh Ahmadi, Amir Naghibi
(2024) Diversity, 16
Journal articleUnveiling the drivers of atmospheric methane variability in Iran : A 20-year exploration using spatiotemporal modeling and machine learning
Seyed Mohsen Mousavi, Naghmeh Mobarghaee Dinan, Saeed Ansarifard, Faezeh Borhani, Asef Darvishi, et al.
(2024) Environmental Challenges, 15
Journal articleSpatiotemporal variability of dust storm source susceptibility during wet and dry periods: The Tigris-Euphrates River Basin
Seyed Amir Naghibi, Hossein Hashemi, Pengxiang Zhao, Sara Brogaard, Lina Eklund, et al.
(2024) Atmospheric Pollution Research, 15
Journal articleSuspended sediment load prediction and tree-based algorithms
Salim Heddam, Amir Naghibi, Khabat Khosravi, Shailesh K. Singh
(2023) Remote Sensing of Soil and Land Surface Processes , p.257-270
Book chapterInSAR-AI-Based Approach for Groundwater Level Prediction in Arid Regions
Behshid Khodaei, Hossein Hashemi, Seyed Amir Naghibi, Ronny Berndtsson
(2023)
Conference paperExamining the Role of the Main Terrestrial Factors Won the Seasonal Distribution of Atmospheric Carbon Dioxide Concentration over Iran
Seyed Mohsen Mousavi, Naghmeh Mobarghaee Dinan, Saeed Ansarifard, Faezeh Borhani, Keyvan Ezimand, et al.
(2023) Journal of the Indian Society of Remote Sensing, 51 p.865-875
Journal articleRobust probabilistic modelling of mould growth in building envelopes using random forests machine learning algorithm
Mohsen Bayat Pour, Jonas Niklewski, Seyed Amir Naghibi, Eva Frühwald Hansson
(2023) Building and Environment, 243
Journal articleOptimal Landfill Site Selection for Solid Waste of Three Municipalities Based on Boolean and Fuzzy Methods: A Case Study in Kermanshah Province, Iran
Seyed Mohsen Mousavi, Golnaz Darvishi, Naghmeh Mobarghaee Dinan, Seyed Amir Naghibi
(2022) Land, 11
Journal articleAn Integrated InSAR-Machine Learning Approach for Ground Deformation Rate Modeling in Arid Areas
Seyed Amir Naghibi, Behshid Khodaei, Hossein Hashemi
(2022) Journal of Hydrology, 608
Journal articleDevelopment of a novel hybrid multi-boosting neural network model for spatial prediction of urban flood
Hamid Darabi, Omid Rahmati, Seyed Amir Naghibi, Farnoush Mohammadi, Ebrahim Ahmadisharaf, et al.
(2022) Geocarto International, 37 p.5716-5741
Journal articleHuman-induced arsenic pollution modeling in surface waters : An integrated approach using machine learning algorithms and environmental factors
Maziar Mohammadi, Seyed Amir Naghibi, Alireza Motevalli, Hossein Hashemi
(2022) Journal of Environmental Management, 305
Journal articleAPG: A novel python-based ArcGIS toolbox to generate absence-datasets for geospatial studies
Seyed Amir Naghibi, Hossein Hashemi, Biswajeet Pradhan
(2021) Geoscience Frontiers, 12
Journal articleApplication of Advanced Machine Learning Algorithms to Assess Groundwater Potential Using Remote Sensing-Derived Data
Ehsan Kamali Maskooni, Seyed Amir Naghibi, Hossein Hashemi, Ronny Berndtsson
(2020) Remote Sensing, 12
Journal articleDevelopment of novel hybridized models for urban flood susceptibility mapping
Omid Rahmati, Hamid Darabi, Mahdi Panahi, Zahra Kalantari, Seyed Amir Naghibi, et al.
(2020) Scientific Reports, 10
Journal articleApplication of extreme gradient boosting and parallel random forest algorithms for assessing groundwater spring potential using DEM-derived factors
Seyed Amir Naghibi, Hossein Hashemi, Ronny Berndtsson, Saro Lee
(2020) Journal of Hydrology, 589
Journal articleInverse method using boosted regression tree and k-nearest neighbor to quantify effects of point and non-point source nitrate pollution in groundwater
Alireza Motevalli, Seyed Amir Naghibi, Hossein Hashemi, Ronny Berndtsson, Biswajeet Pradhan, et al.
(2019) Journal of Cleaner Production, 228 p.1248-1263
Journal articleCartografía del potencial de agua subterránea utilizando un nuevo modelo de conjuntos de minería de datos
Mojtaba Dolat Kordestani, Seyed Amir Naghibi, Hossein Hashemi, Kourosh Ahmadi, Bahareh Kalantar, et al.
(2019) Hydrogeology Journal, 27 p.211-224
Journal article
Research Projects
Current Project at CMES
AI in the Service of Socio-Politically Adapted Sustainable Dust-Storm Control in the Middle East (2021-2024), funded by the MECW Research Program