Mehdi Minbashi Moeini | Weed Science | Best Researcher Award

Prof. Mehdi Minbashi Moeini | Weed Science | Best Researcher Award

Iranian Research Institute of Plant Protection | Iran

Prof. Mehdi Minbashi Moeini is a leading weed scientist and agronomist whose academic career is built on a B.Sc. in Agronomy & Plant Breeding from Shiraz University, an M.Sc. in Agronomy from Isfahan University of Technology, and a Ph.D. in Weed Science from the University of Tehran, where he focused on pioneering GIS applications for weed management in wheat and canola crops. With over two decades of service at the Iranian Research Institute of Plant Protection (IRIPP), he has advanced from Research Instructor to Research Professor, while holding key leadership roles including Deputy for Research & Technology, Secretary of the Agronomy Taskforce at AREEO, and Head of the Weed Research Department. His scholarly contributions include 10 documented publications, which have achieved 83 citations with an h-index of 5, underlining his scientific impact in the field. His research interests span weed biology, integrated weed management, herbicide physiology, parasitic weeds such as broomrape, and precision agriculture using GIS and remote sensing. He is also the author of notable scientific books including “Biology and Management of Water Hyacinth” and “Sunflower Plant Protection Handbook.” His work supports innovation in sustainable weed control and strengthens global agricultural productivity.

Profiles: Scopus | Orcid

Featured Publications

Moeini, M. M., Haghighi, A., Kootiani, M. S., & Samadani, B. (2023). Evaluation of Bentazon + Dichlorprop for control of noxious broadleaf weeds in wheat fields of Iran. Gesunde Pflanzen.

Moeini, M. M., Mamnoie, E., Karaminejad, M. R., Aliverdi, A., & Moeini, M. M. (2022). Application efficacy of newly released pre-mixed herbicide in winter wheat: Joystick®. Journal of Agricultural Science, Estonian Academic Agricultural Society.

Veisi, M., Moeini, M. M., Jahedi, A., Mansoori, M. S., & Sabeti, P. (2022). Weed control efficacy: Response of chickpea to pre- and post-emergence herbicides. Gesunde Pflanzen.

Moeini, M. M., Hadizadeh, M. H., Karaminejad, M. R., Zangeneh, H. S., Jamali, M., & Haghighi, A. A. (2022). Efficacy of fluroxypyr compared with common broadleaf herbicides in the wheat fields. Journal of Iranian Plant Protection Research.

Moeini, M. M. (2021). Germination biology and phenological development stages of false jagged-chickweed (Lepyrodiclis holosteoides). Journal of Plant Protection Research.

Karim Solaimani | Remote Sensing | Best Researcher Award

Prof. Karim Solaimani | Remote Sensing | Best Researcher Award

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.

Profile: Orcid

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.