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Dr. Milad Fathi
Mahdi Emamjomeh
Ahmad Sohankar
Graduate Students
Kadkhodaei, M. H., Ghasemi, E., & Mahdavi, S. (2023). Modelling tunnel squeezing using gene expression programming: a case study. Proceedings of the Institution of Civil Engineers-Geotechnical Engineering, 176(6), 567-581.‏
Modelling and Predicting the Breaking Strength and Mass Irregularity of Cotton Rotor Spun Yarns Containing Cotton Fiber Recovered from Ginning Process by Using Artificial Neural Network Algorithm
Modelling and Predicting the Breaking Strength and Mass Irregularity of Cotton Rotor Spun Yarns Containing Cotton Fiber Recovered from Ginning Process by Using Artificial Neural Network Algorithm
Curriculum Vitac
Research Projects
Workshop, “Frontiers in hadron and nuclear physics with strangeness and charm”
Synthesis and characterization of new polyureas derived from 4-(4′-Methoxyphenyl)urazole
K. Ghaffari
Simulation
سلطاني معاد- Maad Soltani
مهدي حاجي هاشمي- Mahdi Hajihashemi