Rate My Professor Roohollah Shirani Faradonbeh

Dr. Roohollah Shirani Faradonbeh is a Lecturer at the Western Australian School of Mines: Minerals, Energy and Chemical Engineering, Faculty of Science and Engineering, Curtin University, where he has been contributing since 2022. With over ten years of teaching and research experience in mining engineering, he is recognized as an expert in experimental geomechanics and applied artificial intelligence. His primary research interests encompass mine automation, integration of emerging technologies including UAVs, mixed reality, sensors, and AI to boost mining efficiency and sustainability, alongside rock mechanics, geotechnical engineering, underground mining, data mining, drilling, and blasting. As the leader of the Mine Automation and Digitalisation Lab (MadLab), he drives innovative projects aimed at advancing autonomous mining operations. Shirani Faradonbeh also holds editorial board positions for prestigious journals such as Underground Space, Mining, Discover Minerals, and Geotechnical and Geological Engineering, and has served as a guest editor for special issues like “Mine Automation and New Technologies” and “Latest Advances in Rock Mechanics and Geotechnical Engineering.”

He holds a PhD in Mining Engineering from the University of Adelaide (2018–2021), where he earned the Dean’s Commendation for Doctoral Thesis Excellence (2021) and the Beacon of Enlightenment PhD Scholarship (2018). His earlier degrees include an MSc in Mining Engineering (Mine Extraction) from Tarbiat Modares University (2014–2016) and a BSc from the University of Kashan (2010–2014). Previously affiliated with Tarbiat Modares University and the University of Adelaide, his early research focused on soft computing techniques, optimization algorithms, blasting engineering, and rockburst prediction in deep underground projects. Shirani Faradonbeh has authored over 80 publications, accumulating more than 3,900 citations. Notable works include “Rockburst assessment in deep geotechnical conditions using true-triaxial tests and data-driven approaches” (International Journal of Rock Mechanics and Mining Sciences, 2020), “Post-peak behaviour of rocks under cyclic loading using a double-criteria damage-controlled test method” (Bulletin of Engineering Geology and the Environment, 2020), “Application of self-organizing map and fuzzy c-mean techniques for rockburst clustering in deep underground projects” (Neural Computing and Applications, 2019), “Long-term prediction of rockburst hazard in deep underground openings using three robust data mining techniques” (Engineering with Computers, 2019), and “Performance prediction of tunnel boring machine through developing a gene expression programming equation” (Engineering with Computers, 2018). Additional honors include the Top Researcher Award from the Young Researchers and Elite Club, Islamic Azad University South Tehran Branch (2016), and Best Conference Paper Awards at the 10th Student Mining Engineering Conference, University of Kashan (2016), and the 9th Iranian Student Mining Engineering Conference, University of Birjand (2013). He was also a member of the Scientific Committee for the Mediterranean Geosciences Union Annual Meeting (MedGU-21).