Research output per year
Research output per year
Personal profile
Research
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 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.
UKÄ subject classification
- Water Engineering
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Research output
- 10 Article
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An Integrated InSAR-Machine Learning Approach for Ground Deformation Rate Modeling in Arid Areas
Naghibi, S. A., Khodaei, B. & Hashemi, H., 2022 Feb 18, In: Journal of Hydrology. 608Research output: Contribution to journal › Article › peer-review
Open Access -
Development of a novel hybrid multi-boosting neural network model for spatial prediction of urban flood
Darabi, H., Rahmati, O., Naghibi, S. A., Mohammadi, F., Ahmadisharaf, E., Kalantari, Z., Haghighi, A. T., Soleimanpour, S. M., Tiefenbacher, J. P. & Tien Bui, D., 2022, In: Geocarto International. 37, 19 , p. 5716-5741 26 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Human-induced arsenic pollution modeling in surface waters: An integrated approach using machine learning algorithms and environmental factors
Mohammadi, M., Naghibi, S. A., Motevalli, A. & Hashemi, H., 2022, In: Journal of Environmental Management. 305, 12 p.Research output: Contribution to journal › Article › peer-review
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Optimal Landfill Site Selection for Solid Waste of Three Municipalities Based on Boolean and Fuzzy Methods: A Case Study in Kermanshah Province, Iran
Mousavi, S. M., Darvishi, G., Mobarghaee Dinan, N. & Naghibi, S. A., 2022 Oct 13, In: Land. 11, 10, 1779.Research output: Contribution to journal › Article › peer-review
Open Access -
APG: A novel python-based ArcGIS toolbox to generate absence-datasets for geospatial studies
Naghibi, S. A., Hashemi, H. & Pradhan, B., 2021 Jun, In: Geoscience Frontiers. 12, 6, 15 p., 101232.Research output: Contribution to journal › Article › peer-review
Open AccessFile47 Downloads (Pure)
Projects
- 2 Active
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AI in the service of socio-politically adapted sustainable dust-storm control in the Middle East
Hashemi, H., Mansourian, A., Naghibi, A., Brogaard, S. & Zhao, P.
2021/09/01 → 2024/08/31
Project: Research
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Comparative water availability assessment in the Middle East
Khodaei, B., Hashemi, H., Berndtsson, R. & Naghibi, A.
2021/09/01 → …
Project: Dissertation