
Roohollah Shirani Faradonbeh
Higher Degree by Research Candidate
School of Civil, Environmental and Mining Engineering
Faculty of Engineering, Computer and Mathematical Sciences
Roohollah Shirani Faradonbeh received his BSc and MSc degrees in Mining Engineering from the University of Kashan, Iran and Tarbiat Modares University, Iran, respectively. The main focus of his research during bachelor and master courses was on the application of soft computing techniques and optimization algorithms in mining operations, especially in “Blasting” and “Rock mechanics” fields. His research during the last years has led to publishing more than 20 papers in prestigious journals. In 2016, Roohollah was acknowledged as the top researcher of the Young Researchers and Elite Club, Tehran, Iran.
He is currently a PhD student at the University of Adelaide, Australia under the supervision of Dr Abbas Taheri and Dr Murat Karakus. He does research on the rockburst phenomenon in deep underground mining based on rock behaviour.
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Appointments
Date Position Institution name 2018 - 2021 PhD Candidate University of Adelaide 2016 Research Assistant Tarbiat Modares University 2014 - 2014 Teaching Assistant University of Kashan -
Language Competencies
Language Competency English Can read, write, speak, understand spoken and peer review Persian Can read, write, speak, understand spoken and peer review -
Education
Date Institution name Country Title 2018 - 2021 University of Adelaide Australia PhD, 2014 - 2016 Tarbiat Modares University Iran M.Sc, 2010 - 2014 University of Kashan Iran B.Eng, -
Research Interests
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Journals
Year Citation 2021 Shirani Faradonbeh, R., Taheri, A., & Karakus, M. (2021). Post-peak behaviour of rocks under cyclic loading using a double-criteria damage-controlled test method. Bulletin of Engineering Geology and the Environment, 80(2), 1713-1727.
2020 Shirani Faradonbeh, R., Shaffiee Haghshenas, S., Taheri, A., & Mikaeil, R. (2020). Application of self-organizing map and fuzzy c-mean techniques for rockburst clustering in deep underground projects. Neural Computing and Applications, 32(12), 8545-8559.
Scopus8 WoS132020 Shirani Faradonbeh, R., Taheri, A., Ribeiro e Sousa, L., & Karakus, M. (2020). Rockburst assessment in deep geotechnical conditions using true-triaxial tests and data-driven approaches. International Journal of Rock Mechanics and Mining Sciences, 128, 19 pages.
Scopus6 WoS42019 Shaffiee Haghshenas, S., Shirani Faradonbeh, R., RezaMikaeil, R., Shaffiee Haghshenas, S., Taheri, A., Saghatforoush, A., & AlirezaDormishi, A. (2019). A new conventional criterion for the performance evaluation of gang saw machines. Measurement, 146, 159-170.
Scopus11 WoS112019 Shirani Faradonbeh, R., & Taheri, A. (2019). Long-term prediction of rockburst hazard in deep underground openings using three robust data mining techniques. Engineering with Computers, 35(2), 659-675.
Scopus34 WoS302019 Shirani Faradonbeh, R., & Taheri, A. (2019). Long-term prediction of rockburst hazard in deep underground openings using three robust data mining techniques. Engineering with Computers, 35(2), 659-675.
Scopus34 WoS302018 Faradonbeh, R. S., Hasanipanah, M., Amnieh, H. B., Armaghani, D. J., & Monjezi, M. (2018). Development of GP and GEP models to estimate an environmental issue induced by blasting operation. Environmental Monitoring and Assessment, 190(6), 15 pages.
Scopus26 WoS272018 Jahed Armaghani, D., Faradonbeh, R. S., Momeni, E., Fahimifar, A., & Tahir, M. M. (2018). Performance prediction of tunnel boring machine through developing a gene expression programming equation. Engineering with Computers, 34(1), 129-141.
Scopus38 WoS252018 Salimi, A., Faradonbeh, R. S., Monjezi, M., & Moormann, C. (2018). TBM performance estimation using a classification and regression tree (CART) technique. Bulletin of Engineering Geology and the Environment, 77(1), 429-440.
Scopus22 WoS202018 Armaghani, D. J., Faradonbeh, R. S., Rezaei, H., Rashid, A. S. A., & Amnieh, H. B. (2018). Settlement prediction of the rock-socketed piles through a new technique based on gene expression programming. Neural Computing and Applications, 29(11), 1115-1125.
Scopus38 WoS262018 Faradonbeh, R. S., Armaghani, D. J., Amnieh, H. B., & Mohamad, E. T. (2018). Prediction and minimization of blast-induced flyrock using gene expression programming and firefly algorithm. Neural Computing and Applications, 29(6), 269-281.
Scopus30 WoS202017 Mohamad, E. T., Faradonbeh, R. S., Armaghani, D. J., Monjezi, M., & Majid, M. Z. A. (2017). An optimized ANN model based on genetic algorithm for predicting ripping production. Neural Computing and Applications, 28(S1), 393-406.
Scopus56 WoS562017 Hasanipanah, M., Faradonbeh, R. S., Amnieh, H. B., Armaghani, D. J., & Monjezi, M. (2017). Forecasting blast-induced ground vibration developing a CART model. Engineering with Computers, 33(2), 307-316.
Scopus85 WoS782017 Khandelwal, M., Mahdiyar, A., Armaghani, D. J., Singh, T. N., Fahimifar, A., & Faradonbeh, R. S. (2017). An expert system based on hybrid ICA-ANN technique to estimate macerals contents of Indian coals. Environmental Earth Sciences, 76(11), 14 pages.
Scopus19 WoS172017 Faradonbeh, R. S., & Monjezi, M. (2017). Prediction and minimization of blast-induced ground vibration using two robust meta-heuristic algorithms. Engineering with Computers, 33(4), 835-851.
Scopus28 WoS292017 Hasanipanah, M., Faradonbeh, R. S., Armaghani, D. J., Amnieh, H. B., & Khandelwal, M. (2017). Development of a precise model for prediction of blast-induced flyrock using regression tree technique. Environmental Earth Sciences, 76(1), 10 pages.
Scopus43 WoS392017 Hoseinian, F. S., Faradonbeh, R. S., Abdollahzadeh, A., Rezai, B., & Soltani-Mohammadi, S. (2017). Semi-autogenous mill power model development using gene expression programming. Powder Technology, 308, 61-69.
Scopus26 WoS252017 Shirani Faradonbeh, R., Salimi, A., Monjezi, M., Ebrahimabadi, A., & Moormann, C. (2017). Roadheader performance prediction using genetic programming (GP) and gene expression programming (GEP) techniques. Environmental Earth Sciences, 76(16), 12 pages.
Scopus14 WoS142017 Khandelwal, M., Shirani Faradonbeh, R., Monjezi, M., Armaghani, D. J., Majid, M. Z. B. A., & Yagiz, S. (2017). Function development for appraising brittleness of intact rocks using genetic programming and non-linear multiple regression models. Engineering with Computers, 33(1), 13-21.
Scopus33 WoS322017 Khandelwal, M., Armaghani, D. J., Faradonbeh, R. S., Yellishetty, M., Majid, M. Z. A., & Monjezi, M. (2017). Classification and regression tree technique in estimating peak particle velocity caused by blasting. Engineering with Computers, 33(1), 45-53.
Scopus35 WoS332016 Khandelwal, M., Armaghani, D. J., Faradonbeh, R. S., Ranjith, P. G., & Ghoraba, S. (2016). A new model based on gene expression programming to estimate air flow in a single rock joint. Environmental Earth Sciences, 75(9), 13 pages.
Scopus31 WoS232016 Faradonbeh, R. S., Jahed Armaghani, D., & Monjezi, M. (2016). Development of a new model for predicting flyrock distance in quarry blasting: a genetic programming technique. Bulletin of Engineering Geology and the Environment, 75(3), 993-1006.
Scopus31 WoS302016 Liang, M., Mohamad, E. T., Faradonbeh, R. S., Jahed Armaghani, D., & Ghoraba, S. (2016). Rock strength assessment based on regression tree technique. Engineering with Computers, 32(2), 343-354.
Scopus33 WoS312016 Faradonbeh, R. S., Armaghani, D. J., Monjezi, M., & Mohamad, E. T. (2016). Genetic programming and gene expression programming for flyrock assessment due to mine blasting. International Journal of Rock Mechanics and Mining Sciences, 88, 254-264.
Scopus45 WoS392016 Jahed Armaghani, D., Mohd Amin, M. F., Yagiz, S., Faradonbeh, R. S., & Abdullah, R. A. (2016). Prediction of the uniaxial compressive strength of sandstone using various modeling techniques. International Journal of Rock Mechanics and Mining Sciences, 85, 174-186.
Scopus68 WoS612016 Monjezi, M., Baghestani, M., Shirani Faradonbeh, R., Pourghasemi Saghand, M., & Jahed Armaghani, D. (2016). Modification and prediction of blast-induced ground vibrations based on both empirical and computational techniques. Engineering with Computers, 32(4), 717-728.
Scopus37 WoS332016 Saghatforoush, A., Monjezi, M., Shirani Faradonbeh, R., & Jahed Armaghani, D. (2016). Combination of neural network and ant colony optimization algorithms for prediction and optimization of flyrock and back-break induced by blasting. Engineering with Computers, 32(2), 255-266.
Scopus57 WoS532016 Shirani Faradonbeh, R., Monjezi, M., & Jahed Armaghani, D. (2016). Genetic programing and non-linear multiple regression techniques to predict backbreak in blasting operation. Engineering with Computers, 32(1), 123-133.
Scopus61 WoS532016 Shirani Faradonbeh, R., Jahed Armaghani, D., Abd Majid, M. Z., MD Tahir, M., Ramesh Murlidhar, B., Monjezi, M., & Wong, H. M. (2016). Prediction of ground vibration due to quarry blasting based on gene expression programming: a new model for peak particle velocity prediction. International Journal of Environmental Science and Technology, 13(6), 1453-1464.
Scopus68 WoS612016 Armaghani, D. J., Mahdiyar, A., Hasanipanah, M., Faradonbeh, R. S., Khandelwal, M., & Amnieh, H. B. (2016). Risk Assessment and Prediction of Flyrock Distance by Combined Multiple Regression Analysis and Monte Carlo Simulation of Quarry Blasting. Rock Mechanics and Rock Engineering, 49(9), 3631-3641.
Scopus44 WoS412015 Jahed Armaghani, D., Hajihassani, M., Marto, A., Shirani Faradonbeh, R., & Mohamad, E. T. (2015). Prediction of blast-induced air overpressure: a hybrid AI-based predictive model. Environmental Monitoring and Assessment, 187(11), 13 pages.
Scopus43 WoS42 Europe PMC1
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