Prof. Himan Shahabi

University of Kurdistan, Iran

Professor

Email: [email protected]

Qualifications

2015 Post-Doctoral, Universiti Teknologi Malaysia, Malaysia

2014 Ph.D., Universiti Teknologi Malaysia, Malaysia

2009 M.S., University of Tabriz, Iran

2007 B.Sc., University of Teran, Iran

Publications (Selected)

1. Shirzadi, A., Shahabi, H., Salvati, A., Nodoushan, E.J., Hoseini, S.M., Tahan, M.H., & Clague, J.J. (2026). Leveraging imbalanced dataset in urban flood susceptibility prediction: A case study of Sanandaj City. Journal of Hydrology, 666, 134727. https://doi.org/10.1016/j.jhydrol.2025.134727
2. Shahabi, H., Shirzadi, A., Ustrzycka, A., Piotrowska, N., Filipiak, J., & Tahan, M.H. (2025). A novel hybrid machine learning approach for δ13C spatial prediction in Polish hard-water lakes. Ecological Informatics, 89, 103187. https://doi.org/10.1016/j.ecoinf.2025.103187
3. Roy, S.K., Jamali, A., Chanussot, J., Ghamisi, P., Ghaderpour, E., & Shahabi, H. (2025). SimPoolFormer: A two-stream vision transformer for hyperspectral image classification. Remote Sensing Applications: Society and Environment, 37, 101478. https://doi.org/10.1016/j.rsase.2025.101478
4. Shahabi, H., Gholamnia, M., Mohammadi, J., Paryani, S., Neshat, A., Shirzadi, A., Shahid, S., Ghanbari, R., Malakyar, F., & Clague, J.J. (2024). Developing a semi-supervised strategy in time series mapping of wetland covers: A case study of Zrebar Wetland, Iran. Earth Systems and Environment, 1–16. https://doi.org/10.1007/s41748-024-00437-6
5. Shahabi, H., Safarrad, T., Hashim, M., & Al-Ansari, N. (2023). Satellite-synoptic monitoring of dominant dust entering Western Iran. Journal of Sensors, 2023, 3069921. https://doi.org/10.1155/2023/3069921
6. Shahabi, H., Ahmadi, R., Alizadeh, M., Hashim, M., Al-Ansari, N., Shirzadi, A., Wolf, I.D., & Ariffin, E.H. (2023). Landslide susceptibility mapping in a mountainous area using machine learning algorithms. Remote Sensing, 15(12), 3112. https://doi.org/10.3390/rs15123112
7. Jaafari, A., Panahi, M., Mafi-Gholami, D., Rahmati, O., Shahabi, H., Shirzadi, A., Lee, S., Bui, D.T., & Pradhan, B. (2022). Swarm intelligence optimization of the group method of data handling using the cuckoo search and whale optimization algorithms to model and predict landslides. Applied Soft Computing, 116, 108254. https://doi.org/10.1016/j.asoc.2021.108254
8. Shahabi, H., Shirzadi, A., Ronoud, S., Asadi, S., Pham, B.T., Mansouripour, F., Geertsema, M., Clague, J.J., & Bui, D.T. (2021). Flash flood susceptibility mapping using a novel deep learning model based on deep belief network, back propagation and genetic algorithm. Geoscience Frontiers, 12(3), 101100. https://doi.org/10.1016/j.gsf.2020.10.007
9. Shahabi, H., Shirzadi, A., Ghaderi, K., Omidvar, E., Al-Ansari, N., Clague, J.J., Geertsema, M., Khosravi, K., Amini, A., Bahrami, S., & Rahmati, O. (2020). Flood detection and susceptibility mapping using Sentinel-1 remote sensing data and a machine learning approach: Hybrid intelligence of bagging ensemble based on K-nearest neighbor classifier. Remote Sensing, 12(2), 266. https://doi.org/10.3390/rs12020266
10. Chen, W., Zhao, X., Tsangaratos, P., Shahabi, H., Ilia, I., Xue, W., Wang, X., & Ahmad, B.B. (2020). Evaluating the usage of tree-based ensemble methods in groundwater spring potential mapping. Journal of Hydrology, 583, 124602. https://doi.org/10.1016/j.jhydrol.2020.124602
11. Chen, W., Li, Y., Xue, W., Shahabi, H., Li, S., Hong, H., Wang, X., Bian, H., Zhang, S., Pradhan, B., & Ahmad, B.B. (2020). Modeling flood susceptibility using data-driven approaches of naïve Bayes tree, alternating decision tree, and random forest methods. Science of The Total Environment, 134979. https://doi.org/10.1016/j.scitotenv.2019.134979
12. Taheri, K., Shahabi, H., Chapi, K., Shirzadi, A., Gutiérrez, F., & Khosravi, K. (2019). Sinkhole susceptibility mapping: A comparison between Bayes-based machine learning algorithms. Land Degradation & Development, 30(7), 730–745. https://doi.org/10.1002/ldr.3255
13. Jaafari, A., Zenner, E.K., Panahi, M., & Shahabi, H. (2019). Hybrid artificial intelligence models based on a neuro-fuzzy system and metaheuristic optimization algorithms for spatial prediction of wildfire probability. Agricultural and Forest Meteorology, 266, 198–207. https://doi.org/10.1016/j.agrformet.2018.12.015
14. He, Q., Shahabi, H., Shirzadi, A., Li, S., Chen, W., Wang, N., Chai, H., Bian, H., Ma, J., Chen, Y., & Wang, X. (2019). Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms. Science of the Total Environment, 663, 1–15. https://doi.org/10.1016/j.scitotenv.2019.01.320
15. Shirzadi, A., Shahabi, H., Chapi, K., Bui, D.T., Pham, B.T., Shahedi, K., & Ahmad, B.B. (2017). A comparative study between popular statistical and machine learning methods for simulating volume of landslides. Catena, 157, 213–226. https://doi.org/10.1016/j.catena.2017.05.016
16. Shahabi, H., & Hashim, M. (2015). Landslide susceptibility mapping using GIS-based statistical models and remote sensing data in tropical environment. Scientific Reports, 5(1), 1–15. https://doi.org/10.1038/srep09899

Profile Details

WoS ResearcherID: J-1591-2017

ORCID: 0000-0001-5091-6947

Google Scholar Profile: https://scholar.google.com.my/citations?user=XlUdyV0AAAAJ&hl=en