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Mahdi Hasanipanah

Mahdi Hasanipanah

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Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
52
Citations
6403
World Ranking
283
National Ranking
2

Engineering and Technology

D-Index
56
Citations
7247
World Ranking
2914
National Ranking
5

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Mahdi Hasanipanah is affiliated with Duy Tan University in Vietnam and specializes in engineering with a focus on civil and structural engineering. Their research spans multiple subfields including mechanics of materials, mechanical engineering, safety, risk, reliability and quality, as well as ocean engineering.

The primary areas of study in their research include rock mechanics and modeling, tunneling and rock mechanics, mineral processing and grinding, drilling and well engineering, dam engineering and safety, geoscience and mining technology, and geotechnical engineering and analysis.

Frequent publication venues for Mahdi Hasanipanah's work are:

  • Engineering With Computers
  • Natural Resources Research
  • Sustainability
  • Applied Sciences
  • Transportation Geotechnics

Significant recent papers authored by or involving Hasanipanah include:

  • A novel systematic and evolved approach based on XGBoost-firefly algorithm to predict Young's modulus and unconfined compressive strength of rock, 2021, Engineering With Computers
  • Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks, 2021, Transportation Geotechnics
  • Examining Hybrid and Single SVM Models with Different Kernels to Predict Rock Brittleness, 2020, Sustainability
  • On the Use of Neuro-Swarm System to Forecast the Pile Settlement, 2020, Applied Sciences
  • A new auto-tuning model for predicting the rock fragmentation: a cat swarm optimization algorithm, 2020, Engineering With Computers

Collaborations have been frequent with several researchers, notably:

  • Danial Jahed Armaghani
  • Ahmed Salih Mohammed
  • Panagiotis G. Asteris
  • Menad Nait Amar
  • Xiaohua Ding

The work conducted by Hasanipanah addresses various engineering challenges related to rock mechanics, modeling, and material strength prediction. The combination of computational methods such as XGBoost-firefly algorithms, soft computing, and swarm optimization in their research highlights the integration of advanced computational intelligence approaches to engineering problems.

Best Publications

  • 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

  • Feasibility of PSO-ANN model for predicting surface settlement caused by tunneling

    Mahdi Hasanipanah;Majid Noorian-Bidgoli;Danial Jahed Armaghani;Hossein Khamesi

  • Forecasting blast-induced ground vibration developing a CART model

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

  • Airblast prediction through a hybrid genetic algorithm-ANN model

    Danial Jahed Armaghani;Mahdi Hasanipanah;Amir Mahdiyar;Muhd Zaimi Abd Majid

  • Application of PSO to develop a powerful equation for prediction of flyrock due to blasting

    Mahdi Hasanipanah;Danial Jahed Armaghani;Hassan Bakhshandeh Amnieh;Muhd Zaimi Abd Majid

  • A new combination of artificial neural network and K-nearest neighbors models to predict blast-induced ground vibration and air-overpressure

    Maryam Amiri;Hassan Bakhshandeh Amnieh;Mahdi Hasanipanah;Leyli Mohammad Khanli

  • Feasibility of PSO–ANFIS model to estimate rock fragmentation produced by mine blasting

    Mahdi Hasanipanah;Hassan Bakhshandeh Amnieh;Hossein Arab;Mohammad Saber Zamzam

  • Prediction of air-overpressure caused by mine blasting using a new hybrid PSO---SVR model

    Mahdi Hasanipanah;Azam Shahnazar;Hassan Bakhshandeh Amnieh;Danial Jahed Armaghani

  • A hybrid artificial bee colony algorithm-artificial neural network for forecasting the blast-produced ground vibration

    Khalil Taheri;Mahdi Hasanipanah;Saeid Bagheri Golzar;Muhd Zaimi Majid

  • Prediction of blast-produced ground vibration using particle swarm optimization

    Mahdi Hasanipanah;Reyhaneh Naderi;Javad Kashir;Seyed Ahmad Noorani

  • A combination of the ICA-ANN model to predict air-overpressure resulting from blasting

    Danial Jahed Armaghani;Mahdi Hasanipanah;Edy Tonnizam Mohamad

  • Performance evaluation of hybrid FFA-ANFIS and GA-ANFIS models to predict particle size distribution of a muck-pile after blasting

    Jian Zhou;Chuanqi Li;Chelang A. Arslan;Mahdi Hasanipanah

  • Feasibility of ICA in approximating ground vibration resulting from mine blasting

    Danial Jahed Armaghani;Mahdi Hasanipanah;Hassan Bakhshandeh Amnieh;Edy Tonnizam Mohamad

  • Intelligent Prediction of Blasting-Induced Ground Vibration Using ANFIS Optimized by GA and PSO

    Haiqing Yang;Mahdi Hasanipanah;M. M. Tahir;Dieu Tien Bui

  • Several non-linear models in estimating air-overpressure resulting from mine blasting

    Mahdi Hasanipanah;Danial Jahed Armaghani;Hossein Khamesi;Hassan Bakhshandeh Amnieh

  • Risk assessment and prediction of rock fragmentation produced by blasting operation: a rock engineering system

    Mahdi Hasanipanah;Danial Jahed Armaghani;Masoud Monjezi;Samira Shams

  • A new design of evolutionary hybrid optimization of SVR model in predicting the blast-induced ground vibration

    Wusi Chen;Mahdi Hasanipanah;Hima Nikafshan Rad;Danial Jahed Armaghani

  • Risk Assessment and Prediction of Flyrock Distance by Combined Multiple Regression Analysis and Monte Carlo Simulation of Quarry Blasting

    Danial Jahed Armaghani;Amir Mahdiyar;Mahdi Hasanipanah;Roohollah Shirani Faradonbeh

  • A novel systematic and evolved approach based on XGBoost-firefly algorithm to predict Young’s modulus and unconfined compressive strength of rock

    Jing Cao;Juncheng Gao;Hima Nikafshan Rad;Ahmed Salih Mohammed

  • Developing a least squares support vector machine for estimating the blast-induced flyrock

    Hima Nikafshan Rad;Mahdi Hasanipanah;Mohammad Rezaei;Amin Lotfi Eghlim

  • Estimation of air-overpressure produced by blasting operation through a neuro-genetic technique

    Edy Tonnizam Mohamad;Danial Jahed Armaghani;Mahdi Hasanipanah;Bhatawdekar Ramesh Murlidhar

Frequent Co-Authors

Danial Jahed Armaghani
Danial Jahed Armaghani University of Technology Sydney
Mahmood Md. Tahir
Mahmood Md. Tahir University of Technology Malaysia
Panagiotis G. Asteris
Panagiotis G. Asteris School of Pedagogical and Technological Education
Masoud Monjezi
Masoud Monjezi Tarbiat Modares University
Manoj Khandelwal
Manoj Khandelwal Federation University Australia
Muhd Zaimi Abd Majid
Muhd Zaimi Abd Majid University of Technology Malaysia
Mohammadreza Koopialipoor
Mohammadreza Koopialipoor Amirkabir University of Technology
Behrooz Keshtegar
Behrooz Keshtegar Zabol University
Edy Tonnizam Mohamad
Edy Tonnizam Mohamad University of Technology Malaysia
Dieu Tien Bui
Dieu Tien Bui University of South-Eastern Norway

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