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Mohsen Hajihassani

Mohsen Hajihassani

D-Index & Metrics

Engineering and Technology

D-Index
33
Citations
4715
World Ranking
9398
National Ranking
139

Overview

Mohsen Hajihassani is affiliated with Urmia University in Iran and has contributed extensively to the field of engineering, with a primary focus on civil and structural engineering. Their scholarly work spans multiple subfields including safety, risk, reliability and quality, ocean engineering, artificial intelligence, and mechanical engineering. The breadth of their research addresses a variety of engineering challenges and applies interdisciplinary approaches.

The scientist's work concentrates particularly on geotechnical engineering and underground structures, as well as geotechnical engineering and analysis. Additional topics of focus include tunneling and rock mechanics, drilling and well engineering, grouting, rheology and soil mechanics, innovative concrete reinforcement materials, and cognitive science and mapping.

Key recent publications by Mohsen Hajihassani include the following:

  • "Revealing the nature of metakaolin-based concrete materials using artificial intelligence techniques," 2022, published in Construction and Building Materials
  • "Soft computing-based models for the prediction of masonry compressive strength," 2021, published in Engineering Structures
  • "Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks," 2021, published in Transportation Geotechnics
  • "Genetic prediction of ICU hospitalization and mortality in COVID-19 patients using artificial neural networks," 2022, published in Journal of Cellular and Molecular Medicine
  • "An ANN-Fuzzy Cognitive Map-Based Z-Number Theory to Predict Flyrock Induced by Blasting in Open-Pit Mines," 2022, published in Rock Mechanics and Rock Engineering

Frequent co-authors collaborating with Hajihassani include:

  • Panagiotis G. Asteris
  • Mehdi Kharghani
  • Roohollah Kalatehjari
  • Alireza Rashiddel
  • Shahab Hosseini

The scientist's research has been published repeatedly in specific venues such as:

  • The Open Construction and Building Technology Journal
  • Applied Sciences
  • Transportation Geotechnics
  • Rock Mechanics and Rock Engineering
  • Structures

Best Publications

  • Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization

    D. Jahed Armaghani;M. Hajihassani;E. Tonnizam Mohamad;A. Marto

  • Prediction of uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks

    Ehsan Momeni;Danial Jahed Armaghani;Mohsen Hajihassani;Mohd For Mohd Amin

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

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

  • Ground vibration prediction in quarry blasting through an artificial neural network optimized by imperialist competitive algorithm

    Mohsen Hajihassani;Danial Jahed Armaghani;Aminaton Marto;Edy Tonnizam Mohamad

  • Prediction of airblast-overpressure induced by blasting using a hybrid artificial neural network and particle swarm optimization

    M. Hajihassani;D. Jahed Armaghani;H. Sohaei;E. Tonnizam Mohamad

  • Revealing the nature of metakaolin-based concrete materials using artificial intelligence techniques

    Unknown

  • 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

  • Applications of Particle Swarm Optimization in Geotechnical Engineering: A Comprehensive Review

    R Kalatehjari;M Hajihassani;D Jahed Armaghani

  • A novel approach for blast-induced flyrock prediction based on imperialist competitive algorithm and artificial neural network.

    Aminaton Marto;Mohsen Hajihassani;Danial Jahed Armaghani;Edy Tonnizam Mohamad

  • Application of several non-linear prediction tools for estimating uniaxial compressive strength of granitic rocks and comparison of their performances

    Danial Jahed Armaghani;Edy Tonnizam Mohamad;Mohsen Hajihassani;Saffet Yagiz

  • Evaluation and prediction of flyrock resulting from blasting operations using empirical and computational methods

    D. Jahed Armaghani;E. Tonnizam Mohamad;M. Hajihassani;S. V. Alavi Nezhad Khalil Abad

  • Indirect measure of shale shear strength parameters by means of rock index tests through an optimized artificial neural network

    Danial Jahed Armaghani;Mohsen Hajihassani;Behnam Yazdani Bejarbaneh;Aminaton Marto

  • Application of two intelligent systems in predicting environmental impacts of quarry blasting

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

  • Neuro-fuzzy technique to predict air-overpressure induced by blasting

    Danial Jahed Armaghani;Mohsen Hajihassani;Houman Sohaei;Edy Tonnizam Mohamad

  • Soft computing-based models for the prediction of masonry compressive strength

    Panagiotis G. Asteris;Paulo B. Lourenço;Mohsen Hajihassani;Chrissy-Elpida N. Adami

  • A Gene Expression Programming Model for Predicting Tunnel Convergence

    Mohsen Hajihassani;Shahrum Shah Abdullah;Panagiotis G. Asteris;Danial Jahed Armaghani

  • Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks

    Panagiotis G. Asteris;Anna Mamou;Mohsen Hajihassani;Mahdi Hasanipanah

  • Simulation of blasting-induced air overpressure by means of artificial neural networks

    Edy Tonnizam Mohamad;Mohsen Hajihassani;Daniel Jahed Armaghani;Aminaton Marto

  • Prediction of blast-induced air overpressure: a hybrid AI-based predictive model

    Danial Jahed Armaghani;Mohsen Hajihassani;Aminaton Marto;Roohollah Shirani Faradonbeh

  • Application of reliability-based back-propagation causality-weighted neural networks to estimate air-overpressure due to mine blasting

    Unknown

  • The effects of method of generating circular slip surfaces on determining the critical slip surface by particle swarm optimization

    R. Kalatehjari;Nazri Ali;M. Kholghifard;M. Hajihassani

  • The stability of shallow circular tunnels in soil considering variations in cohesion with depth

    Nima Khezri;Hisham Mohamad;Mohsen HajiHassani;Behzad Fatahi

Frequent Co-Authors

Aminaton Marto
Aminaton Marto University of Technology Malaysia
Danial Jahed Armaghani
Danial Jahed Armaghani University of Technology Sydney
Edy Tonnizam Mohamad
Edy Tonnizam Mohamad University of Technology Malaysia
Panagiotis G. Asteris
Panagiotis G. Asteris School of Pedagogical and Technological Education
Masoud Monjezi
Masoud Monjezi Tarbiat Modares University
Ahmad Safuan A. Rashid
Ahmad Safuan A. Rashid University of Technology Malaysia
Daniel Dias
Daniel Dias Grenoble Alpes University
Mohammadreza Koopialipoor
Mohammadreza Koopialipoor Amirkabir University of Technology
Mahdi Hasanipanah
Mahdi Hasanipanah Duy Tan University
Paulo B. Lourenço
Paulo B. Lourenço University of Minho

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