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Engineering and Technology

D-Index
55
Citations
8703
World Ranking
3085
National Ranking
42

Overview

Masoud Monjezi is affiliated with Tarbiat Modares University in Iran and specializes in the engineering field, with a focus on several subfields including mechanical engineering, civil and structural engineering, mechanics of materials, safety, risk, reliability and quality, and control and systems engineering.

Their primary research interests cover a range of topics related to mineral processing, rock mechanics, and mining technology. Major topics in their work include:

  • Mineral Processing and Grinding
  • Rock Mechanics and Modeling
  • Tunneling and Rock Mechanics
  • Geoscience and Mining Technology
  • Mining Techniques and Economics
  • Tailings Management and Properties
  • Geotechnical Engineering and Analysis

Monjezi's publication record includes numerous articles concentrated in well-regarded journals such as Natural Resources Research, Engineering With Computers, Sustainability, Arabian Journal of Geosciences, and Rock Mechanics and Rock Engineering. The journal Natural Resources Research stands out as the most frequent venue of publication.

Some recent papers authored or coauthored by Monjezi include:

  • A hybrid metaheuristic approach using random forest and particle swarm optimization to study and evaluate backbreak in open-pit blasting, 2022, Neural Computing and Applications
  • Performance of Hybrid SCA-RF and HHO-RF Models for Predicting Backbreak in Open-Pit Mine Blasting Operations, 2021, Natural Resources Research
  • Six Novel Hybrid Extreme Learning Machine-Swarm Intelligence Optimization (ELM-SIO) Models for Predicting Backbreak in Open-Pit Blasting, 2022, Natural Resources Research
  • Prediction of Dust Emission Due to Open Pit Mine Blasting Using a Hybrid Artificial Neural Network, 2021, Natural Resources Research
  • Optimization of blasting design in open pit limestone mines with the aim of reducing ground vibration using robust techniques, 2020, Geomechanics and Geophysics for Geo-Energy and Geo-Resources

The scientist collaborates frequently with several coauthors, reflective of a network in the mining and engineering research community. Frequent collaborators include Manoj Khandelwal, Jian Zhou, Shahab Hosseini, Amin Mousavi, and Danial Jahed Armaghani.

Best Publications

  • Prediction of seismic slope stability through combination of particle swarm optimization and neural network

    Behrouz Gordan;Danial Jahed Armaghani;Mohsen Hajihassani;Masoud Monjezi

  • Feasibility of indirect determination of blast induced ground vibration based on support vector machine

    Mahdi Hasanipanah;Masoud Monjezi;Azam Shahnazar;Danial Jahed Armaghani

  • Evaluation and prediction of blast-induced ground vibration at Shur River Dam, Iran, by artificial neural network

    Masoud Monjezi;Mahdi Hasanipanah;Manoj Khandelwal

  • Prediction of blast-induced ground vibration using artificial neural networks

    M. Monjezi;M. Ghafurikalajahi;A. Bahrami

  • Prediction and optimization of back-break and rock fragmentation using an artificial neural network and a bee colony algorithm

    Ebrahim Ebrahimi;Masoud Monjezi;Mohammad Reza Khalesi;Danial Jahed Armaghani

  • Evaluation of effect of blasting pattern parameters on back break using neural networks

    M. Monjezi;H. Dehghani

  • Blast-induced air and ground vibration prediction: a particle swarm optimization-based artificial neural network approach

    Mohsen Hajihassani;Danial Jahed Armaghani;Masoud Monjezi;Edy Tonnizam Mohamad

  • Prediction of the strength and elasticity modulus of granite through an expert artificial neural network

    Danial Jahed Armaghani;Edy Tonnizam Mohamad;Ehsan Momeni;Masoud Monjezi

  • An ANN-based approach to predict blast-induced ground vibration of Gol-E-Gohar iron ore mine,Iran

    Mahdi Saadat;Manoj Khandelwal;M. Monjezi

  • Prediction of ground vibration due to quarry blasting based on gene expression programming: a new model for peak particle velocity prediction

    R Shirani Faradonbeh;D Jahed Armaghani;M. Z. Abd Majid;M. Md Tahir

  • Prediction of flyrock and backbreak in open pit blasting operation: a neuro-genetic approach

    Masoud Monjezi;H. Amini Khoshalan;A. Yazdian Varjani

  • Forecasting blast-induced ground vibration developing a CART model

    Mahdi Hasanipanah;Roohollah Shirani Faradonbeh;Hassan Bakhshandeh Amnieh;Danial Jahed Armaghani

  • A comparative study on the application of various artificial neural networks to simultaneous prediction of rock fragmentation and backbreak

    A. Sayadi;M. Monjezi;N. Talebi;Manoj Khandelwal

  • Development of a fuzzy model to predict flyrock in surface mining

    M. Rezaei;M. Monjezi;A. Yazdian Varjani

  • Prediction of rock fragmentation due to blasting using artificial neural network

    A. Bahrami;M. Monjezi;K. Goshtasbi;A. Ghazvinian

  • Predicting blast-induced ground vibration using various types of neural networks

    M. Monjezi;M. Ahmadi;M. Sheikhan;A. Bahrami

  • Combination of neural network and ant colony optimization algorithms for prediction and optimization of flyrock and back-break induced by blasting

    Amir Saghatforoush;Masoud Monjezi;Roohollah Shirani Faradonbeh;Danial Jahed Armaghani

  • Simultaneous prediction of fragmentation and flyrock in blasting operation using artificial neural networks

    M. Monjezi;A. Bahrami;A. Yazdian Varjani

  • Environmental impact assessment of open pit mining in Iran

    M. Monjezi;K. Shahriar;H. Dehghani;F. Samimi Namin

  • Prediction of rock fragmentation due to blasting in Gol-E-Gohar iron mine using fuzzy logic

    M. Monjezi;M. Rezaei;A. Yazdian Varjani

Frequent Co-Authors

Danial Jahed Armaghani
Danial Jahed Armaghani University of Technology Sydney
Manoj Khandelwal
Manoj Khandelwal Federation University Australia
T. N. Singh
T. N. Singh Indian Institute of Technology Bombay
Mahdi Hasanipanah
Mahdi Hasanipanah Duy Tan University
Edy Tonnizam Mohamad
Edy Tonnizam Mohamad University of Technology Malaysia
Muhd Zaimi Abd Majid
Muhd Zaimi Abd Majid University of Technology Malaysia
Mohsen Hajihassani
Mohsen Hajihassani Urmia University
Aminaton Marto
Aminaton Marto University of Technology Malaysia
Diyuan Li
Diyuan Li Central South University
Raoof Gholami
Raoof Gholami University of Stavanger

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