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Dr. Mohammad Hossein Kadkhodaei | Mining Engieering | Best Researcher Award.

Isfahan University of Technology, Iran

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 👨‍🎓 Bio Summary:

Dr. Mohammad Hossein Kadkhodaei, born on February 14, 1996, is a dedicated scholar specializing in mining exploitation. Fluent in Persian, English, and Arabic, he is currently affiliated with Isfahan University of Technology (IUT) in Iran. His academic and research endeavors have established him as an expert in rock mechanics and mining engineering.

🎓 Education:

Dr. Kadkhodaei earned his Ph.D. in Mining Exploitation from Isfahan University of Technology (IUT) with an impressive GPA of 18.96/20. He completed his M.Sc. and B.Sc. in Mining Engineering from the same institution, focusing on rockburst phenomenon prediction and stability analysis of metro tunnels, respectively. His doctoral research, supervised by Dr. Ebrahim Ghasemi, Dr. Jafar Khademi Hamidi, and Prof. Jamal Rostami, investigates the effect of rock properties on fine material production in linear rock cutting with a conical tool.

🔍 Research Focus:

Dr. Kadkhodaei’s research interests are centered on rock mechanics, underground mining, and geotechnical engineering. His work includes predicting rockburst phenomena, assessing tunnel stability, and evaluating fine material and chip formation in rock cutting. He employs advanced data mining algorithms, such as ANN, SVM, and genetic algorithms, in his research to develop robust predictive models.

🏆 Honors & Awards:

Dr. Kadkhodaei has been recognized for his contributions to mining engineering and geotechnical research. He has received multiple awards and accolades for his innovative research and academic excellence throughout his educational journey.

Professional Experience: 💼

Since September 2020, Dr. Kadkhodaei has served as a Teaching Assistant in the Department of Mining Engineering at IUT. He has also acted as an advisor for B.A., M.A., and Ph.D. theses, guiding students in their academic and research pursuits. His expertise includes the use of specialized software such as Easyfit, @Risk, ICDL, and various data mining and statistical tools.

📚 Top Noted Publications :

Title: Stochastic assessment of rockburst potential in underground spaces using Monte Carlo simulation

Authors: M.H. Kadkhodaei, E. Ghasemi, M. Sari

Journal: Environmental Earth Sciences

Citation Index: 16

Year of Publication: 2022

 

Title: Development of a semi-quantitative framework to assess rockburst risk using risk matrix and logistic model tree

Authors: M.H. Kadkhodaei, E. Ghasemi

Journal: Geotechnical and Geological Engineering

Citation Index: 13

Year of Publication: 2022

 

Title: Development of a GEP model to assess CERCHAR abrasivity index of rocks based on geomechanical properties

Authors: M.H. Kadkhodaei, E. Ghasemi

Journal: Journal of Mining and Environment

Citation Index: 9

Year of Publication: 2019

 

Title: Modelling tunnel squeezing using gene expression programming: a case study

Authors: M.H. Kadkhodaei, E. Ghasemi, S. Mahdavi

Journal: Proceedings of the Institution of Civil Engineers – Geotechnical Engineering

Citation Index: 8

Year of Publication: 2023

 

Title: Evaluation of hard rock tunnel boring machine (TBM) performance using stochastic modeling

Authors: P. Jafarshirzad, E. Ghasemi, S. Yagiz, M.H. Kadkhodaei

Journal: Geotechnical and Geological Engineering

Citation Index: 5

Year of Publication: 2023

Author Metrics 📊 : 

Dr. Kadkhodaei’s research has garnered significant attention, with multiple publications in high-impact journals. His contributions to mining and geotechnical engineering are well-cited, reflecting the impact and relevance of his work in the scientific community.

📅 Research Timeline:

2013-2017: B.Sc. in Mining Engineering, IUT

2017-2019: M.Sc. in Mining Exploitation, IUT

2019-2024: Ph.D. in Mining Exploitation, IUT

Dr Mohammad Hossein Kadkhodaei | Mining Engieering | Best Researcher Award |

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