Sari Agricultural Sciences and Natural Resources, Iran
Professor Karim Solaimani is a distinguished Iranian environmental scientist and hydrologist affiliated with the Sari Agricultural Sciences and Natural Resources University (SANRU) under the Ministry of Science, Research and Technology of Iran. He earned his Ph.D. in Environmental Remote Sensing and Hydrology from the University of Glasgow, UK, and has since established himself as an eminent scholar in the fields of remote sensing, GIS applications, hydrology, watershed management, and land use planning. His extensive academic contributions include over 85 peer-reviewed journal articles, widely cited in international scientific databases, reflecting significant impact and global recognition. Professor Solaimani’s research integrates geospatial technologies for environmental modeling, sediment yield assessment, and natural hazard mapping, focusing particularly on Iran’s complex hydrological systems. He has received the Excellent National Teaching and Research Professor Award, acknowledging his outstanding contributions to education and research. Over his career, he has collaborated with multidisciplinary teams, supervised numerous postgraduate students, and contributed to the advancement of environmental science through innovation, mentorship, and applied research. His enduring commitment to sustainable land and water resource management continues to influence both academic and practical environmental policy developments in Iran and beyond.
Featured Publications
Solaimani, K., Darvishi, S., & Shokrian, F. (2024). Assessment of machine learning algorithms and new hybrid multi-criteria analysis for flood hazard and mapping. Environmental Science and Pollution Research.
Solaimani, K. (2023). A new approach to landslide assessment using Depth-Number fractal model. ECOPERSIA.
Solaimani, K. (2023). Evaluation of effective criteria on flood risk based on network analysis process and GIS in Vazroud basin of Mazandaran province. Ecohydrology.
Solaimani, K. (2023). Investigating alterations in the underground water level of Ravansar-Sanjabi Plain under CIMP5 climate scenarios. Desert Ecosystem Engineering.
Solaimani, K. (2023). Monitoring and forecasting of spatiotemporal changes in land use and the growth of Kermanshah Township using remote sensing and the CA-Markov model. Urban Structure and Function Studies.