PERSONAL DETAIL


DR. DANIAL JAHED ARMAGHANI

Senior Lecturer
Department of Civil Engineering
Faculty of Engineering
 
  03-79675280
  danialarmaghani@um.edu.my
 Department of Civil Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, W.Persekutuan Kuala Lumpur, Malaysia
 

ACADEMIC QUALIFICATION
(Qualification), (Institution).



AREAS OF EXPERTISE
(Area).




RECENT SELECTED PUBLICATIONS
(Publication).


Article in Academic Journals

2020
  • Asteris, P. G., Douvika, M., Karamani, C., Skentou, A., Daras, T., Cavaleri, L., ... & Zaoutis, T. E. (2020). A novel heuristic global algorithm to predict the COVID-19 pandemic trend. Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2020.013280 (ISI-Indexed)
  • Apostolopoulou, M., Asteris, P. G., Armaghani, D. J., Douvika, M. G., Lourenço, P. B., Cavaleri, L., ... & Moropoulou, A. (2020). Mapping and holistic design of natural hydraulic lime mortars. Cement and Concrete Research, 136, 106167. (ISI-Indexed)
  • Nguyen, H., Bui, X. N., Choi, Y., Lee, C. W., & Armaghani, D. J. (2020). A Novel Combination of Whale Optimization Algorithm and Support Vector Machine with Different Kernel Functions for Prediction of Blasting-Induced FlyRock in Quarry Mines. Natural Resources Research, (ISI-Indexed)
  • Bayat, P., Monjezi, M., Rezakhah, M., & Armaghani, D. J. (2020). Artificial Neural Network and Firefly Algorithm for Estimation and Minimization of Ground Vibration Induced by Blasting in a Mine. NATURAL RESOURCES RESEARCH. https://doi.org/10.1007/s11053-020-09697-1 (ISI-Indexed)
  • Momeni, E., Dowlatshahi, M. B., Omidinasab, F., Maizir, H., & Armaghani, D. J. (2020). Gaussian Process Regression Technique to Estimate the Pile Bearing Capacity. Arabian Journal for Science and Engineering, https://doi.org/10.1007/s13369-020-04683-4 (ISI-Indexed)
  • Ye, J., Dalle, J., Nezami, R., Hasanipanah, M., & Armaghani, D. J. (2020). Stochastic fractal search-tuned ANFIS model to predict blast-induced air overpressure. Engineering with Computers, 1-15. https://doi.org/10.1007/s00366-020-01085-w (ISI-Indexed)
  • Koopialipoor, M., Fahimifar, A., Ghaleini, E. N., Momenzadeh, M., & Armaghani, D. J. (2020). Development of a new hybrid ANN for solving a geotechnical problem related to tunnel boring machine performance. Engineering with Computers, 36(1), 345-357. (ISI-Indexed)
  • Armaghani, D. J., Koopialipoor, M., Bahri, M., Hasanipanah, M., & Tahir, M. M. A SVR-GWO technique to minimize flyrock distance resulting from blasting. Bulletin of Engineering Geology and the Environment, https://doi.org/10.1007/s10064-020-01834-7 (ISI-Indexed)
  • Koopialipoor, M., Murlidhar, B. R., Hedayat, A., Armaghani, D. J., Gordan, B., & Mohamad, E. T. (2020). The use of new intelligent techniques in designing retaining walls. Engineering with Computers, 36(1), 283-294. (ISI-Indexed)

2019
  • Armaghani, D. J., Koopialipoor, M., Marto, A., & Yagiz, S. (2019). Application of several optimization techniques for estimating TBM advance rate in granitic rocks. Journal of Rock Mechanics and Geotechnical Engineering, 11(4), 779-789. (SCOPUS-Indexed)
  • Koopialipoor, M., Armaghani, D. J., Hedayat, A., Marto, A., & Gordan, B. (2019). Applying various hybrid intelligent systems to evaluate and predict slope stability under static and dynamic conditions. Soft Computing, 23(14), 5913-5929. (ISI-Indexed)
  • Mahdiyar, A., Armaghani, D. J., Marto, A., Nilashi, M., & Ismail, S. (2019). Rock tensile strength prediction using empirical and soft computing approaches. Bulletin of Engineering Geology and the Environment, 78(6), 4519-4531. (ISI-Indexed)
  • Koopialipoor, M., Nikouei, S. S., Marto, A., Fahimifar, A., Armaghani, D. J., & Mohamad, E. T. (2019). Predicting tunnel boring machine performance through a new model based on the group method of data handling. Bulletin of Engineering Geology and the Environment, 78(5), 3799-3813. (ISI-Indexed)
  • Koopialipoor, M., Fallah, A., Armaghani, D. J., Azizi, A., & Mohamad, E. T. (2019). Three hybrid intelligent models in estimating flyrock distance resulting from blasting. Engineering with Computers, 35(1), 243-256. (ISI-Indexed)
  • Armaghani, D. J., Sohaei, H., Namazi, E., & Marto, A. (2019). Investigation of Uplift Capacity of Deep Foundation in Various Geometry Conditions. The Open Construction & Building Technology Journal, 13(1). (SCOPUS-Indexed)
  • Armaghani, D. J., Hatzigeorgiou, G. D., Karamani, C., Skentou, A., Zoumpoulaki, I., & Asteris, P. G. (2019). Soft computing-based techniques for concrete beams shear strength. Procedia Structural Integrity, 17, 924-933. (SCOPUS-Indexed)
  • Chen, H., Asteris, P. G., Jahed Armaghani, D., Gordan, B., & Pham, B. T. (2019). Assessing dynamic conditions of the retaining wall: Developing two hybrid intelligent models. Applied Sciences, 9(6), 1042. (ISI-Indexed)
  • Guo, H., Nguyen, H., Bui, X. N., & Armaghani, D. J. (2019). A new technique to predict fly-rock in bench blasting based on an ensemble of support vector regression and GLMNET. Engineering with Computers, 1-15. (ISI-Indexed)

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. (ISI-Indexed)
  • Hasanipanah, M., Amnieh, H. B., Khamesi, H., Armaghani, D. J., Golzar, S. B., & Shahnazar, A. (2018). Prediction of an environmental issue of mine blasting: an imperialistic competitive algorithm-based fuzzy system. International journal of environmental science and technology, 15(3), 551-560. (ISI-Indexed)
  • Momeni, E., Armaghani, D. J., Fatemi, S. A., & Nazir, R. (2018). Prediction of bearing capacity of thin-walled foundation: a simulation approach. Engineering with Computers, 34(2), 319-327. (ISI-Indexed)
  • Armaghani, D. J., 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. (ISI-Indexed)
  • 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), 351. (ISI-Indexed)
  • Armaghani, D. J., Hasanipanah, M., Amnieh, H. B., & Mohamad, E. T. (2018). Feasibility of ICA in approximating ground vibration resulting from mine blasting. Neural Computing and Applications, 29(9), 457-465. (ISI-Indexed)
  • Armaghani, D. J., Hasanipanah, M., Mahdiyar, A., Majid, M. Z. A., Amnieh, H. B., & Tahir, M. M. (2018). Airblast prediction through a hybrid genetic algorithm-ANN model. Neural Computing and Applications, 29(9), 619-629. (ISI-Indexed)

2017
  • Faizi, K., Rashid, A. S. A., Armaghani, D. J., Nazir, R., & Momeni, E. (2017). The influence of bituminous coating on uplift resistance of short pile foundations in sand. Soil Mechanics and Foundation Engineering, 54(3), 177-182. (ISI-Indexed)
  • Mohamad, E. T., Armaghani, D. J., Mahdyar, A., Komoo, I., Kassim, K. A., Abdullah, A., & Majid, M. Z. A. (2017). Utilizing regression models to find functions for determining ripping production based on laboratory tests. Measurement, 111, 216-225. (ISI-Indexed)
  • Armaghani, D. J., Raja, R. S. N. S. B., Faizi, K., & Rashid, A. S. A. (2017). Developing a hybrid PSO–ANN model for estimating the ultimate bearing capacity of rock-socketed piles. Neural Computing and Applications, 28(2), 391-405. (ISI-Indexed)
  • Raja Shoib, R. S. N. S., Rashid, A. S. A., & Armaghani, D. J. (2017). Shaft resistance of bored piles socketed in Malaysian granite. Proceedings of the Institution of Civil Engineers-Geotechnical Engineering, 170(4), 335-352. (ISI-Indexed)
  • Armaghani, D. J., Mohamad, E. T., Narayanasamy, M. S., Narita, N., & Yagiz, S. (2017). Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition. Tunnelling and Underground Space Technology, 63, 29-43. (ISI-Indexed)

2016
  • Armaghani, D. J., Mohamad, E. T., Hajihassani, M., Yagiz, S., & Motaghedi, H. (2016). Application of several non-linear prediction tools for estimating uniaxial compressive strength of granitic rocks and comparison of their performances. Engineering with Computers, 32(2), 189-206. (ISI-Indexed)
  • 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. (ISI-Indexed)
  • 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. (ISI-Indexed)
  • Abad, S. A. N. K., Tugrul, A., Gokceoglu, C., & Armaghani, D. J. (2016). Characteristics of weathering zones of granitic rocks in Malaysia for geotechnical engineering design. Engineering Geology, 200, 94-103. (ISI-Indexed)
  • Motaghedi, H., & Armaghani, D. J. (2016). New method for estimation of soil shear strength parameters using results of piezocone. Measurement, 77, 132-142. (ISI-Indexed)
  • Gordan, B., Armaghani, D. J., Hajihassani, M., & Monjezi, M. (2016). Prediction of seismic slope stability through combination of particle swarm optimization and neural network. Engineering with Computers, 32(1), 85-97. (ISI-Indexed)
  • Armaghani, D. J., Amin, M. F. M., 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. (ISI-Indexed)
  • Armaghani, D. J., Mohamad, E. T., Momeni, E., Monjezi, M., & Narayanasamy, M. S. (2016). Prediction of the strength and elasticity modulus of granite through an expert artificial neural network. Arabian Journal of Geosciences, 9(1), 48. (ISI-Indexed)

2015
  • Armaghani, D. J., Mohamad, E. T., Momeni, E., & Narayanasamy, M. S. (2015). An adaptive neuro-fuzzy inference system for predicting unconfined compressive strength and Young’s modulus: a study on Main Range granite. Bulletin of engineering geology and the environment, 74(4), 1301-1319. (ISI-Indexed)
  • Armaghani, D. J., Faizi, K., Hajihassani, M., Mohamad, E. T., & Nazir, R. (2015). Effects of soil reinforcement on uplift resistance of buried pipeline. Measurement, 64, 57-63. (ISI-Indexed)
  • Momeni, E., Armaghani, D. J., Hajihassani, M., & Amin, M. F. M. (2015). Prediction of uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks. Measurement, 60, 50-63. (ISI-Indexed)
  • Momeni, E., Nazir, R., Armaghani, D. J., & Sohaie, H. (2015). Bearing capacity of precast thin-walled foundation in sand. Proceedings of the Institution of Civil Engineers-Geotechnical Engineering, 168(6), 539-550. (ISI-Indexed)
  • Momeni, E., Nazir, R., Armaghani, D. J., & Maizir, H. (2015). Application of artificial neural network for predicting shaft and tip resistances of concrete piles. Earth Sciences Research Journal, 19(1), 85-93. (ISI-Indexed)
  • Armaghani, D. J., Hajihassani, M., Monjezi, M., Mohamad, E. T., Marto, A., & Moghaddam, M. R. (2015). Application of two intelligent systems in predicting environmental impacts of quarry blasting. Arabian Journal of Geosciences, 8(11), 9647-9665. (ISI-Indexed)
  • Faizi, K., Armaghani, D. J., Sohaei, H., Rashid, A. S. A., & Nazir, R. (2015). Deformation model of sand around short piles under pullout test. Measurement, 63, 110-119. (ISI-Indexed)
  • Armaghani, D. J., Momeni, E., Abad, S. V. A. N. K., & Khandelwal, M. (2015). Feasibility of ANFIS model for prediction of ground vibrations resulting from quarry blasting. Environmental earth sciences, 74(4), 2845-2860. (ISI-Indexed)
  • Armaghani, D. J., Hajihassani, M., Marto, A., Faradonbeh, R. S., & Mohamad, E. T. (2015). Prediction of blast-induced air overpressure: a hybrid AI-based predictive model. Environmental monitoring and assessment, 187(11), 666. (ISI-Indexed)

2014
  • Armaghani, D. J., Hajihassani, M., Bejarbaneh, B. Y., Marto, A., & Mohamad, E. T. (2014). Indirect measure of shale shear strength parameters by means of rock index tests through an optimized artificial neural network. Measurement, 55, 487-498. (ISI-Indexed)
  • Hajihassani, M., Armaghani, D. J., Sohaei, H., Mohamad, E. T., & Marto, A. (2014). Prediction of airblast-overpressure induced by blasting using a hybrid artificial neural network and particle swarm optimization. Applied Acoustics, 80, 57-67. (ISI-Indexed)
  • Faizi, K., Armaghani, D. J., Momeni, E., Nazir, R., & Mohamad, E. T. (2014). Uplift resistance of buried pipelines enhanced by geogrid. Soil Mechanics and Foundation Engineering, 51(4), 188-195. (ISI-Indexed)
  • Armaghani, D. J., Hajihassani, M., Mohamad, E. T., Marto, A., & Noorani, S. A. (2014). Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization. Arabian Journal of Geosciences, 7(12), 5383-5396. (ISI-Indexed)

AREAS OF RESEARCH
(Project title), (Role), (From)-(Until), (Level), (Source).



AWARDS AND RECOGNITIONS
(Name of Award), (Awarding Institution), (Year Awarded), (Level).



SUPERVISION


POST GRADUATE STUDENT
(Name of Degree), (Name of Candidates), (Title of Thesis), (Academic Session)

Completed
  • Doctoral Degree (phd), Ramesh Murlidhar Bhatawdekar, Rock mass classification for predicting environmental impact of blasting on tropically weathered rock, 2019/2020