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.
Ground deformation and groundwater dynamics : the role of interferometric synthetic aperture radar analysis in confined aquifer systems
Hossein Hashemi, Alireza Taheri Dehkordi, Behshid Khodaei, Seyed Amir Naghibi
(2026) Water Scarcity Management: Toward the Application of Artificial Intelligence and Earth Observation Data , p.223-238
Book chapterAssessing dust storm risks in water-scarce regions : a machine learning approach
Amir Naghibi, Hossein Hashemi, Seyed Mohsen Mousavi, Pengxiang Zhao, Ali Mansourian
(2026) Water Scarcity Management: Towards the Application of Artificial Intelligence and Earth Observation Data , p.13-24
Book chapterMachine learning in groundwater drought forecasting : a bibliometric perspective
Saman Shahnazi, Maryam Sayadi, Amir Naghibi
(2026) Water Scarcity Management: Towards the Application of Artificial Intelligence and Earth Observation Data , p.293-304
Book chapterWater scarcity crisis : overview of challenges and solutions
Omid Rahmati, Assefa M. Melesse, Amir Naghibi
(2026) Water Scarcity Management: Towards the Application of Artificial Intelligence and Earth Observation Data , p.1-12
Book chapterFrom fractions to fragments : Policy to practice through AI-driven multiscale spatial planning for groundwater nitrate management
Amir Naghibi, Kourosh Ahmadi, Seyed Mohsen Mousavi, Ali Torabi Haghighi, Bertel Nilsson, et al.
(2026) Water Research, 296
ArticleMulti-model simulation performance of monthly water balance models for global catchments : Thresholds and structural sensitivity
Zhongrui Ning, Jianyun Zhang, Nan Wu, Hossein Hashemi, Fernando Jaramillo, et al.
(2026) Journal of Hydrology, 667
ArticleEnhanced remote sensing of water surface elevation through fusion of Sentinel-3 altimeter data and climate variables using machine learning
Mahdis Rezapour, Mohammad Javad Valadan Zoej, Alireza Taheri Dehkordi, Elahe Khesali, Amir Naghibi, et al.
(2026) Hydrological Insights: Synergizing Groundwater Models, Remote Sensing, and AI for Water Sustainability , p.261-272
Book chapterWQEye (v1) : A Python-based software for machine learning-based retrieval of water quality parameters from Sentinel-2 and Landsat-8/9 remote sensing data aided by Google Earth Engine
Alireza Taheri Dehkordi, Mostafa Dazi, Amir Naghibi, Hossein Hashemi
(2026) Ecological Informatics, 95
ArticleEnhanced multi-mission remote sensing of inland water surface elevation using Sentinel-3, Sentinel-6, and SWOT satellite altimeters and an environmentally informed LSTM-based neural network
Mahdis Rezapour, Alireza Taheri Dehkordi, Mohammad Javad Valadan Zoej, Elahe Khesali, Amir Naghibi, et al.
(2026) Remote Sensing Applications: Society and Environment, 42
ArticleAssessing groundwater nitrate hotspot mitigation through management scenarios and AI-based risk prediction across Europe under climate change
Kourosh Ahmadi, Ronny Berndtsson, Amir Naghibi
(2026)
AbstractAn End-to-End Python-Based Toolkit for Facilitated Time-Series Interferometric Synthetic Aperture Radar (InSAR) Analysis of Sentinel-1 Remote Sensing Data
Alireza Taheri Dehkordi, Hossein Hashemi, Amir Naghibi
(2026)
AbstractPolicy-oriented Land-Use and Agricultural Management Scenarios for Groundwater Nitrate Hotspot Mitigation
Amir Naghibi, Kourosh Ahmadi, Ronny Berndtsson
(2026)
AbstractA 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
ArticleFlood susceptibility mapping in the Nyabarongo Catchment, Rwanda, based on data analysis and modeling
Leonard Nzabonantuma, Gilbert Nduwayezu, Amir Naghibi, Erik Nilsson, Umaru Garba Wali, et al.
(2025) Geomatics, Natural Hazards and Risk, 16
ArticleAltitudinal variation in impacts of snow cover, reservoirs and precipitation seasonality on monthly runoff in Tibetan Plateau catchments
Nan Wu, Ke Zhang, Amir Naghibi, Hossein Hashemi, Zhongrui Ning, et al.
(2025) Hydrology and Earth System Sciences, 29 p.5913-5930
ArticlePredicting snow cover and frozen ground impacts on large basin runoff : developing appropriate model complexity
Nan Wu, Ke Zhang, Amir Naghibi, Hossein Hashemi, Zhongrui Ning, et al.
(2025) Hydrology and Earth System Sciences, 29 p.3703-3725
ArticleImproved TDS forecasting in data-scarce regions using CEEMDAN and AI-driven hydro-climatic analysis
Maryam Sayadi, Behzad Hessari, Majid Montaseri, Amir Naghibi
(2025) Environmental Modelling and Software, 192
ArticleAn integrated InSAR-numerical approach for accurate groundwater head prediction
Behshid Khodaei, Hossein Hashemi, Mazda Kompani-Zare, Seyed Amir Naghibi, Ronny Berndtsson
(2025) Journal of Hydrology, 662
ArticleFrom Cropland to Dust Source : Land Use Dynamics and Water Management in the Tigris-Euphrates River Basin
Hossein Hashemi, Abdulhakim M Abdi, Amir Naghibi, Pengxiang Zhao, Sara Brogaard, et al.
(2025)
AbstractWater Scarcity Management : Toward the Application of Artificial Intelligence and Earth Observation Data
(2025)
Anthology (editor)Preface
Omid Rahmati, Assefa M. Melesse, Amir Naghibi
(2025) Water Scarcity Management: Towards the Application of Artificial Intelligence and Earth Observation Data , p.xvii-xvii
Foreword/postscriptEnhanced Remote Sensing of Inland Water Surface Elevation Using Sentinel-3 Radar Altimeter (SRAL)
Mahdis Rezapour, Mohammad Javad Valadan Zoej, Alireza Taheri Dehkordi, Elahe Khesali, Ali Mehran, et al.
(2025) IGARSS 2025: 2025 IEEE International Geoscience and Remote Sensing Symposium , p.8328-8331
Paper in conference proceedingMachine Learning Framework for Hydrological Drought Forecasting in Brazilian Basins with Diverse Climates
Luz Adriana Cuartas, Amir Naghibi, Gholamreza Nikravesh, Juliana A Campos, Alireza Taheri Dehkordi, et al.
(2025)
AbstractPerformance comparison of knowledge-based and data-driven approaches for seasonal meteo-hydrological forecasts in the central Mediterranean
Alfonso Senatore, Luca Furnari, Gholamreza Nikravesh, Fabio Cortale, Christof Lorenz, et al.
(2025)
AbstractGroundwater Level Retrieval Using Temporal Integration of Sentinel-1 InSAR Time-Series and Recurrent Neural Networks
Alireza Taheri Dehkordi, Behshid Khodaei, Hossein Hashemi, Amir Naghibi
(2025)
AbstractIntegrated Multi-Task Learning Framework for Groundwater Nitrate and Ammonium Prediction in Odense, Denmark
Kourosh Ahmadi, Amir Naghibi
(2025)
AbstractBridging Data Gaps in Water Quality Modelling : A Machine Learning Framework for Absence Point Generation in Geospatial Binary Classifications
Amir Naghibi, Kourosh Ahmadi, Ronny Berndtsson
(2025)
AbstractMacroecological 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
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
ArticleDetermining 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
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
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
ArticleModeling spatiotemporal distribution of yellow rust wheat pathogen using machine learning algorithms : Insights from environmental assessment
Shirin Mahmoodi, Meysam Bakhshi Ganje, Kourosh Ahmadi, Yadollah Dalvand, Amir Naghibi, et al.
(2024) Environmental Technology and Innovation, 36
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
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
Review 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
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
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
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
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)
AbstractAssessing 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
ArticleClimate-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
ArticleInSAR-AI-Based Approach for Groundwater Level Prediction in Arid Regions
Behshid Khodaei, Hossein Hashemi, Seyed Amir Naghibi, Ronny Berndtsson
(2023)
Paper, not in proceedingExamining 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
ArticleInvestigation of Spatiotemporal Variation of Dust Storm Susceptibility in Iraq and Syria Using Remote Sensing and Artificial Intelligence
Seyed Amir Naghibi, Hossein Hashemi, Pengxiang Zhao, Sara Brogaard, Lina Eklund, et al.
(2023) , p.NH34A-04
Paper, not in proceedingRobust 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
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 chapterDevelopment 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
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
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
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
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
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
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
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
ArticleMachine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia
Omid Rahmati, Fatemeh Falah, Kavina Shaanu Dayal, Ravinesh C. Deo, Farnoush Mohammadi, et al.
(2020) Science of the Total Environment, 699
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
ArticleApplication of rotation forest with decision trees as base classifier and a novel ensemble model in spatial modeling of groundwater potential
Amir Naghibi, Mojtaba Dolatkordestani, Ashkan Rezaei, Payam Amouzegari, Mostafa Taheri Heravi, et al.
(2019) Environmental Monitoring and Assessment, 191
ArticleA comparative assessment of Random Forest and k-Nearest Neighbor classifiers for gully erosion susceptibility mapping
Mohammadtaghi Avand, Saeid Janizadeh, Amir Naghibi, Hamid Reza Pourghasemi, Saeid Khosrobeigi Bozchaloei, et al.
(2019) Water (Switzerland), 11
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
ArticleLand subsidence modelling using tree-based machine learning algorithms
Omid Rahmati, Fatemeh Falah, Amir Naghibi, Trent Biggs, Milad Soltani, et al.
(2019) Science of the Total Environment, 672 p.239-252
ArticleOptimized conditioning factors using machine learning techniques for groundwater potential mapping
Bahareh Kalantar, Husam A.H. Al-Najjar, Biswajeet Pradhan, Vahideh Saeidi, Alfian Abdul Halin, et al.
(2019) Water (Switzerland), 11
ArticleA comparative study of landslide susceptibility maps produced using support vector machine with different kernel functions and entropy data mining models in China
Wei Chen, Hamid Reza Pourghasemi, Amir Naghibi
(2018) Bulletin of Engineering Geology and the Environment, 77 p.647-664
ArticleGroundwater spring potential modelling : Comprising the capability and robustness of three different modeling approaches
Omid Rahmati, Amir Naghibi, Himan Shahabi, Dieu Tien Bui, Biswajeet Pradhan, et al.
(2018) Journal of Hydrology, 565 p.248-261
ArticleA comparison between ten advanced and soft computing models for groundwater qanat potential assessment in Iran using R and GIS
Seyed Amir Naghibi, Hamid Reza Pourghasemi, Karim Abbaspour
(2018) Theoretical and Applied Climatology, 131 p.967-984
ArticlePrioritization of landslide conditioning factors and its spatial modeling in Shangnan County, China using GIS-based data mining algorithms
Wei Chen, Hamid Reza Pourghasemi, Amir Naghibi
(2018) Bulletin of Engineering Geology and the Environment, 77 p.611-629
ArticleEvaluation of some probability distribution functions for derivation of unit hydrograph in the Bar Watershed, Iran
Seyed Amir Naghibi, Mehdi Vafakhah, Alireza Moghaddam Nia, Saeid Eslamian
(2018) International Journal of Hydrology Science and Technology, 8 p.134-147
ArticleGroundwater potential mapping using C5.0, random forest, and multivariate adaptive regression spline models in GIS
Ali Golkarian, Amir Naghibi, Bahareh Kalantar, Biswajeet Pradhan
(2018) Environmental Monitoring and Assessment, 190
ArticleA comparative assessment of GIS-based data mining models and a novel ensemble model in groundwater well potential mapping
Amir Naghibi, Davood Davoodi Moghaddam, Bahareh Kalantar, Biswajeet Pradhan, Ozgur Kisi
(2017) Journal of Hydrology, 548 p.471-483
ArticleEvaluation of four supervised learning methods for groundwater spring potential mapping in Khalkhal region (Iran) using GIS-based features
Amir Naghibi, Mostafa Moradi Dashtpagerdi
(2017) Hydrogeology Journal, 25 p.169-189
ArticleA comparative assessment between linear and quadratic discriminant analyses (LDA-QDA) with frequency ratio and weights-of-evidence models for forest fire susceptibility mapping in China
Haoyuan Hong, Amir Naghibi, Mostafa Moradi Dashtpagerdi, Hamid Reza Pourghasemi, Wei Chen
(2017) Arabian Journal of Geosciences, 10
ArticleApplication of Support Vector Machine, Random Forest, and Genetic Algorithm Optimized Random Forest Models in Groundwater Potential Mapping
Seyed Amir Naghibi, Kourosh Ahmadi, Alireza Daneshi
(2017) Water Resources Management, 31 p.2761-2775
ArticleAssessment and comparison of combined bivariate and AHP models with logistic regression for landslide susceptibility mapping in the Chaharmahal-e-Bakhtiari Province, Iran
Ebrahim Karimi Sangchini, Seyed Naim Emami, Naser Tahmasebipour, Hamid Reza Pourghasemi, Amir Naghibi, et al.
(2016) Arabian Journal of Geosciences, 9
ArticleGIS-based landslide spatial modeling in Ganzhou City, China
Haoyuan Hong, Amir Naghibi, Hamid Reza Pourghasemi, Biswajeet Pradhan
(2016) Arabian Journal of Geosciences, 9 p.1-26
ArticleGIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran
Amir Naghibi, Hamid Reza Pourghasemi, Barnali Dixon
(2016) Environmental Monitoring and Assessment, 188 p.1-27
ArticleAssessment of a spatial multi-criteria evaluation to site selection underground dams in the Alborz Province, Iran
Javad Chezgi, Hamid Reza Pourghasemi, Amir Naghibi, Hamid Reza Moradi, Mirmasoud Kheirkhah Zarkesh
(2016) Geocarto International, 31 p.628-646
ArticleA comparative assessment between three machine learning models and their performance comparison by bivariate and multivariate statistical methods in groundwater potential mapping
Amir Naghibi, Hamid Reza Pourghasemi
(2015) Water Resources Management, 29 p.5217-5236
ArticleGroundwater qanat potential mapping using frequency ratio and Shannon’s entropy models in the Moghan watershed, Iran
Amir Naghibi, Hamid Reza Pourghasemi, Zohre Sadat Pourtaghi, Ashkan Rezaei
(2015) Earth Science Informatics, 8 p.171-186
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