Dr. Mohammad Hossein Kadkhodaei | Mining and Tunnel Engineering Award | Best Researcher Award
PhD candidate at Isfahan University of Technology, Iran
Mohammad Hossein Kadkhodaei is a Ph.D. student in Mining Exploitation at Isfahan University of Technology, Iran. He holds a Master of Science in Mining Exploitation and a Bachelor of Science in Mining Engineering from the same university. His research focuses on mechanical rock excavation, optimization of excavating operations, tunneling and support systems, cutting tool wear, drilling engineering, vibration analysis and signal processing, dust control and stabilization, and Mining 4.0. He has professional experience as a mining consultant for Madan Mohit Company and Isfahan cement factory, specializing in mine road design, mine planning, and blast design. He has also worked as a technical officer at a quarry mine and interned at the Isfahan Metro Project. Mohammad has skills in specialized software such as Easyfit, @Risk, ICDL, O-pit blast, Civil3D, Autocad, Rocsupport, and more. He is proficient in laboratory techniques for rock mechanics and rock cutting tests, as well as data mining algorithms like ANN, SVM, Decision Trees, and Genetic Algorithm. Mohammad has published several papers in journals such as Mining, Metallurgy & Exploration, Arabian Journal of Geosciences, and Geotechnical and Geological Engineering. He is a member of the Iranian Mining Engineering Organization and Iran’s National Elites Foundation, and has received distinctions in both his master’s and Ph.D. exams.
Professional Profiles:
Education:
Mohammad is pursuing a Ph.D. in Mining Exploitation at Isfahan University of Technology, Iran. He holds a Master of Science in Mining Exploitation and a Bachelor of Science in Mining Engineering from the same university
Experience:
He has worked as a mining consultant for Madan Mohit Company and Isfahan cement factory, focusing on mine road design, mine planning, and blast design. He also served as a technical officer at a quarry mine and interned at the Isfahan Metro Project.
Research Interest:
His research interests include mechanical rock excavation, optimization of excavating operations, tunneling and support systems, cutting tool wear, drilling engineering, vibration analysis and signal processing, dust control and stabilization, and Mining 4.0.
Skills:
Mohammad is proficient in specialized software such as Easyfit, @Risk, ICDL, O-pit blast, Civil3D, Autocad, Rocsupport, as well as data mining algorithms like ANN, SVM, Decision Trees, and Genetic Algorithm. He is also skilled in laboratory techniques for rock mechanics and rock cutting tests.
Publications:
Development of a semi-quantitative framework to assess rockburst risk using risk matrix and logistic model tree” in Geotechnical and Geological Engineering, 2022.
“Stochastic assessment of rockburst potential in underground spaces using Monte Carlo simulation” in Environmental Earth Sciences, 2022.
“Development of a GEP model to assess CERCHAR abrasivity index of rocks based on geomechanical properties” in the Journal of Mining and Environment, 2019.
“Analysing the life index of diamond cutting tools for marble building stones based on laboratory and field investigations” in the Bulletin of Engineering Geology and the Environment, 2021.
“Evaluation of hard rock tunnel boring machine (TBM) performance using stochastic modeling” in Geotechnical and Geological Engineering, 2023.