Roohollah Shirani Faradonbeh

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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  • 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.
    DOI
    2021 Shirani Faradonbeh, R., Taheri, A., & Karakus, M. (2021). Failure Behaviour of a Sandstone Subjected to the Systematic Cyclic Loading: Insights from the Double-Criteria Damage-Controlled Test Method. Rock Mechanics and Rock Engineering, 21 pages.
    DOI
    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.
    DOI Scopus11 WoS16
    2020 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.
    DOI Scopus9 WoS9
    2019 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.
    DOI Scopus15 WoS16
    2019 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.
    DOI Scopus40 WoS38
    2019 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.
    DOI Scopus40 WoS38
    2018 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.
    DOI Scopus28 WoS30
    2018 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.
    DOI Scopus42 WoS32
    2018 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.
    DOI Scopus25 WoS23
    2018 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.
    DOI Scopus41 WoS32
    2018 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.
    DOI Scopus30 WoS24
    2017 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.
    DOI Scopus60 WoS61
    2017 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.
    DOI Scopus93 WoS86
    2017 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.
    DOI Scopus24 WoS22
    2017 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.
    DOI Scopus33 WoS32
    2017 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.
    DOI Scopus45 WoS42
    2017 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.
    DOI Scopus28 WoS26
    2017 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.
    DOI Scopus17 WoS16
    2017 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.
    DOI Scopus38 WoS37
    2017 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.
    DOI Scopus39 WoS39
    2016 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.
    DOI Scopus38 WoS29
    2016 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.
    DOI Scopus34 WoS31
    2016 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.
    DOI Scopus37 WoS35
    2016 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.
    DOI Scopus49 WoS42
    2016 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.
    DOI Scopus74 WoS66
    2016 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.
    DOI Scopus40 WoS36
    2016 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.
    DOI Scopus63 WoS57
    2016 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.
    DOI Scopus64 WoS54
    2016 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.
    DOI Scopus75 WoS69
    2016 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.
    DOI Scopus47 WoS44
    2015 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.
    DOI Scopus45 WoS44 Europe PMC2
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