Tarbiat Modares University | Iran
Naser Safaie is a distinguished plant pathologist and mycologist whose academic journey began with a B.Sc. in Plant Protection from Isfahan University of Technology, followed by an M.Sc. in Plant Pathology from Chamran University, and culminating in a Ph.D. in Plant Pathology–Mycology from Tarbiat Modares University. Over more than three decades, he has developed deep expertise in the biological control of phytopathogenic fungi using microbial antagonists, molecular diagnostics, fungal taxonomy, bioformulation of biocontrol products, and plant–microbe interaction studies. As a seasoned professor and long-time department head at the Faculty of Agriculture, Tarbiat Modares University, he has led numerous high-impact research projects spanning fungal pathogen epidemiology, stress tolerance via endophytes, biofertilizers, and cold-plasma applications in agriculture. Recognized for his leadership roles (including editorial responsibilities and presidency of the Iranian Society of Plant Pathology), he has mentored generations of students and spearheaded the translation of lab innovations into practical biocontrol and biofertilizer products. His work bridges fundamental science and agricultural application, contributing to sustainable crop protection and biotechnology development.
Featured Publications
Najafi, M. R., Kordrostami, M., Aghajani, M. A., Safaie, N., & Rahmanpour, S. (2025, October 7). Multilayer perceptron neural network–genetic algorithm for modeling Nicotiana tabacum leaf quality. PLOS One.
Jahedi, A., Safaie, N., Goltapeh, E. M., & Ahmadifar, S. (2024). Auricularia (wood ear mushroom) genus: A contribution to classification and new species records for Iran and world. Plant and Fungal Systematics.
Rahimi-Soujeh, Z., Safaie, N., Moradi, S., Abbod, M., Sharifi, R., Mojerlou, S., & Mokhtassi-Bidgoli, A. (2024, October). New binary mixtures of fungicides against Macrophomina phaseolina: Machine learning-driven QSAR, read-across prediction, and molecular dynamics simulation. Chemosphere.
Abbod, M., Safaie, N., & Gholivand, K. (2024, August). Genetic algorithm multiple linear regression and machine learning-driven QSTR modeling for the acute toxicity of sterol biosynthesis inhibitor fungicides. Heliyon.
Hussein, S. N., Safaie, N., Shams-bakhsh, M., & Al-Juboory, H. H. (2024, August). Harnessing rhizobacteria: Isolation, identification, and antifungal potential against soil pathogens. Heliyon,