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
    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 Scopus7 WoS13
    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 Scopus3 WoS3
    2020 Shirani Faradonbeh, R., Taheri, A., & Karakus, M. (2020). Post-peak behaviour of rocks under cyclic loading using a double-criteria damage-controlled test method. Bulletin of Engineering Geology and the Environment, 15 pages.
    DOI
    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 Scopus8 WoS11
    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 Scopus26 WoS28
    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 Scopus26 WoS28
    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 Scopus23 WoS24
    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 Scopus28 WoS22
    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 Scopus20 WoS17
    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 Scopus33 WoS23
    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 Scopus26 WoS18
    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 Scopus52 WoS51
    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 Scopus73 WoS68
    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 Scopus18 WoS13
    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 Scopus23 WoS26
    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 Scopus40 WoS35
    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 Scopus24 WoS24
    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 Scopus11 WoS12
    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 Scopus32 WoS29
    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 Scopus30 WoS31
    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 Scopus26 WoS21
    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 Scopus29 WoS28
    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 Scopus30 WoS28
    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 Scopus40 WoS37
    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 Scopus57 WoS54
    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 Scopus29 WoS30
    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 Scopus53 WoS49
    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 Scopus60 WoS52
    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 Scopus58 WoS55
    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 Scopus36 WoS34
    2015 Jahed Armaghani, D., Hajihassani, M., Marto, A., Shirani Faradonbeh, R., & Mohamad, E. (2015). Prediction of blast-induced air overpressure: a hybrid AI-based predictive model. Environmental Monitoring and Assessment, 187(11), 13 pages.
    DOI Scopus41 WoS37 Europe PMC1

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