World's Best Scientists 2026 revealed!
Mahdi Shariati

Mahdi Shariati

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Engineering and Technology
Vietnam
2026

D-Index & Metrics

Engineering and Technology

D-Index
74
Citations
12375
World Ranking
838
National Ranking
1

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in Vietnam Leader Award
  • 2025 - Research.com Engineering and Technology in Vietnam Leader Award

Overview

Mahdi Shariati is affiliated with Duy Tan University in Vietnam and has a research focus primarily within the field of engineering. Their work predominantly explores areas related to civil and structural engineering, with significant contributions also in building and construction, mechanics of materials, materials chemistry, and safety, risk, reliability, and quality.

The main topics covered in their research include:

  • Structural Behavior of Reinforced Concrete
  • Structural Load-Bearing Analysis
  • Innovative Concrete Reinforcement Materials
  • Concrete and Cement Materials Research
  • Recycled Aggregate Concrete Performance
  • Concrete Corrosion and Durability
  • Structural Engineering and Vibration Analysis

Throughout their career, Shariati has published extensively in several scientific journals. The most frequent publication venues for their work are:

  • Steel and Composite Structures
  • Construction and Building Materials
  • Engineering With Computers
  • Fuel
  • Geomechanics and Engineering

Significant recent papers authored or co-authored by Shariati include:

  • "A novel hybrid extreme learning machine-grey wolf optimizer (ELM-GWO) model to predict compressive strength of concrete with partial replacements for cement," 2020, Engineering With Computers
  • "Improving construction and demolition waste collection service in an urban area using a simheuristic approach: A case study in Sydney, Australia," 2020, Journal of Cleaner Production
  • "Evaluating the use of recycled concrete aggregate and pozzolanic additives in fiber-reinforced pervious concrete with industrial and recycled fibers," 2020, Construction and Building Materials
  • "Effect of pumice powder and nano-clay on the strength and permeability of fiber-reinforced pervious concrete incorporating recycled concrete aggregate," 2021, Construction and Building Materials
  • "Effect of nanoparticles on the performance of polymer/surfactant flooding for enhanced oil recovery: A review," 2021, Fuel

Shariati has collaborated with several frequent co-authors, including:

  • T. Nguyen-Thoi
  • Ali Toghroli
  • Ali Shariati
  • Morteza Naghipour
  • Peyman Mehrabi

Best Publications

  • A novel hybrid extreme learning machine–grey wolf optimizer (ELM-GWO) model to predict compressive strength of concrete with partial replacements for cement

    Mahdi Shariati;Mohammad Saeed Mafipour;Behzad Ghahremani;Fazel Azarhomayun

  • Retraction Note to: Potential of soft computing approach for evaluating the factors affecting the capacity of steel–concrete composite beam

    Ali Toghroli;Meldi Suhatril;Zainah Ibrahim;Maryam Safa

  • Effect of nanoparticles on the performance of polymer/surfactant flooding for enhanced oil recovery: A review

    Unknown

  • Improving construction and demolition waste collection service in an urban area using a simheuristic approach: A case study in Sydney, Australia

    Maziar Yazdani;Kamyar Kabirifar;Boadu Elijah Frimpong;Mahdi Shariati

  • Evaluating the use of recycled concrete aggregate and pozzolanic additives in fiber-reinforced pervious concrete with industrial and recycled fibers

    Ali Toghroli;Peyman Mehrabi;Mahdi Shariati;Nguyen Thoi Trung

  • Application of a Hybrid Artificial Neural Network-Particle Swarm Optimization (ANN-PSO) Model in Behavior Prediction of Channel Shear Connectors Embedded in Normal and High-Strength Concrete

    Mahdi Shariati;Mohammad Saeed Mafipour;Peyman Mehrabi;Alireza Bahadori

  • Potential of adaptive neuro fuzzy inference system for evaluating the factors affecting steel-concrete composite beam's shear strength

    M. Safa;M. Shariati;Z. Ibrahim;A. Toghroli

  • Prediction of shear capacity of channel shear connectors using the ANFIS model

    Nor Hafizah Ramli Sulong;Ali Toghroli;Mohammad Mohammadhassani;Mahdi Shariati

  • Developed comparative analysis of metaheuristic optimization algorithms for optimal active control of structures

    Javad Katebi;Mona Shoaei-parchin;Mahdi Shariati;Nguyen Thoi Trung

  • Identification of a suitable ANN architecture in predicting strain in tie section of concrete deep beams

    Mohammad Mohammadhassani;Hossein Nezamabadi-pour;Meldi Suhatril;Mahdi Shariati

  • Application of support vector machine with firefly algorithm for investigation of the factors affecting the shear strength of angle shear connectors

    E. Sadeghipour Chahnasir;Y. Zandi;M. Shariati;E. Dehghani

  • Effect of pumice powder and nano-clay on the strength and permeability of fiber-reinforced pervious concrete incorporating recycled concrete aggregate

    Peyman Mehrabi;Mahdi Shariati;Kamyar Kabirifar;Majid Jarrah

  • Prediction of concrete strength in presence of furnace slag and fly ash using Hybrid ANN-GA (Artificial Neural Network-Genetic Algorithm)

    Mahdi Shariati;Mohammad Saeed Mafipour;Peyman Mehrabi;Masoud Ahmadi

  • A novel approach to predict shear strength of tilted angle connectors using artificial intelligence techniques

    Mahdi Shariati;Mohammad Saeed Mafipour;Peyman Mehrabi;Ali Shariati

  • Comparative performance of channel and angle shear connectors in high strength concrete composites: An experimental study

    M. Shariati;N.H. Ramli Sulong;A. Shariati;A.B.H. Kueh

  • Application of ANFIS technique on performance of C and L shaped angle shear connectors

    Yadollah Sedghi;Yousef Zandi;Mahdi Shariati;Ebrahim Ahmadi

  • Corrosion resistance evaluation of rebars with various primers and coatings in concrete modified with different additives

    Alireza Afshar;Soheil Jahandari;Haleh Rasekh;Mahdi Shariati

  • Development of neuro-fuzzy and neuro-bee predictive models for prediction of the safety factor of eco-protection slopes

    Maryam Safa;Puteri Azura Sari;Mahdi Shariati;Meldi Suhatril

  • Assessing the strength of reinforced concrete structures through Ultrasonic Pulse Velocity and Schmidt Rebound Hammer tests

    Mahdi Shariati;Nor Hafizah Ramli-Sulong;K H Mohammad Mehdi Arabnejad;Payam Shafigh

  • Comparison of behaviour between channel and angle shear connectors under monotonic and fully reversed cyclic loading

    Mahdi Shariati;N.H. Ramli Sulong;Meldi Suhatril;Ali Shariati

  • Application of Extreme Learning Machine (ELM) and Genetic Programming (GP) to design steel-concrete composite floor systems at elevated temperatures

    Mahdi Shariati;Mohammad Saeed Mafipour;Peyman Mehrabi;Yousef Zandi

  • RETRACTED ARTICLE: Analysis of influential factors forpredicting the shear strength of a V-shaped angle shear connector in composite beamsusing an adaptive neuro-fuzzy technique

    I. Mansouri;M. Shariati;M. Safa;Z. Ibrahim

Frequent Co-Authors

N.H. Ramli Sulong
N.H. Ramli Sulong Queensland University of Technology
Zainah Ibrahim
Zainah Ibrahim University of Malaya
Mahmood Md. Tahir
Mahmood Md. Tahir University of Technology Malaysia
Edy Tonnizam Mohamad
Edy Tonnizam Mohamad University of Technology Malaysia
Mohd Zamin Jumaat
Mohd Zamin Jumaat University of Malaya
Aminaton Marto
Aminaton Marto University of Technology Malaysia
Dieu Tien Bui
Dieu Tien Bui University of South-Eastern Norway
Alireza Bahadori
Alireza Bahadori Southern Cross University
Dalibor Petković
Dalibor Petković University of Nis
Jorge de Brito
Jorge de Brito Instituto Superior Técnico

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