Ataollah Shirzadi

University of Kurdistan — IR

Environmental Science · Physical Sciences

49h-index9.4kcitations66works5.52yr avg
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Research Topics

Flood Risk Assessment and Management(39), Landslides and related hazards(31), Hydrology and Watershed Management Studies(16), Fire effects on ecosystems(13), Hydrology and Drought Analysis(9)

Publications66 total

A comparison between different machine learning techniques for predicting heating energy consumption for residential buildings in a cold climate
Energy Efficiency·2025· 1 cited
A systematic review of Muskingum flood routing techniques
Hydrological Sciences Journal·2024· 10 cited
Performance improvement of the linear muskingum flood routing model using optimization algorithms and data assimilation approaches
Natural Hazards·2023· 6 cited
Editorial: Artificial intelligence and machine learning in Earth science
Frontiers in Earth Science·2023· 5 citedOpen Access
Improving the performance of artificial intelligence models using the rotation forest technique for landslide susceptibility mapping
International Journal of Environmental Science and Technology·2022· 15 cited
Review for "Application of novel hybrid model for land subsidence susceptibility mapping"
2022
Towards robust smart data-driven soil erodibility index prediction under different scenarios
Geocarto International·2022· 6 cited
Predicting sustainable arsenic mitigation using machine learning techniques
Ecotoxicology and Environmental Safety·2022· 35 citedOpen Access
Evaluation of Geo-hazard Induced by Zarand Earthquake in Central Iran Using Thermal Remote Sensing Data and GIS
Earth and environmental sciences library·2022Open Access
Landslide susceptibility modeling based on remote sensing data and data mining techniques
Environmental Earth Sciences·2022· 23 cited
A comparison study on the quantitative statistical methods for spatial prediction of shallow landslides (case study: Yozidar-Degaga Route in Kurdistan Province, Iran)
Environmental Earth Sciences·2022· 25 cited
Deep learning neural networks for spatially explicit prediction of flash flood probability
Geoscience Frontiers·2020· 150 citedOpen Access
Flash flood susceptibility mapping using a novel deep learning model based on deep belief network, back propagation and genetic algorithm
Geoscience Frontiers·2020· 157 citedOpen Access
Can deep learning algorithms outperform benchmark machine learning algorithms in flood susceptibility modeling?
Journal of Hydrology·2020· 140 cited
A novel ensemble learning based on Bayesian Belief Network coupled with an extreme learning machine for flash flood susceptibility mapping
Engineering Applications of Artificial Intelligence·2020· 64 cited
Monitoring and Assessment of Water Level Fluctuations of the Lake Urmia and Its Environmental Consequences Using Multitemporal Landsat 7 ETM+ Images
International Journal of Environmental Research and Public Health·2020· 59 citedOpen Access
GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models
Applied Sciences·2020· 103 citedOpen Access
Efficiency of artificial neural networks in determining scour depth at composite bridge piers
International Journal of River Basin Management·2020· 7 cited
Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learning
The Science of The Total Environment·2020· 287 cited
Hybridized neural fuzzy ensembles for dust source modeling and prediction
Atmospheric Environment·2020· 50 citedOpen Access
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Frequent Co-authors

Himan Shahabi(40), Binh Thai Pham(24), Kamran Chapi(23), Dieu Tien Bui(23), Baharin Bin Ahmad(19), Khabat Khosravi(14), Wei Chen(14), Mahdi Panahi(10), Indra Prakash(9), Haoyuan Hong(9), Saro Lee(9), Biswajeet Pradhan(5), Jie Dou(5), Shaojun Li(5), Ebrahim Omidvar(5), John J. Clague(5), Sushant K. Singh(4), Ataollah Kavian(4), Assefa M. Melesse(4), Tran Van Phong(4)