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2025

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43
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5096
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544
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26

Engineering and Technology

D-Index
43
Citations
4927
World Ranking
6342
National Ranking
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  • 2025 - Research.com Rising Stars Award

Overview

Alireza Baghban is affiliated with Amirkabir University of Technology in Iran and has contributed to research primarily within the field of Engineering. Their work spans several subfields including Mechanical Engineering, Biomedical Engineering, Materials Chemistry, Renewable Energy, Sustainability and the Environment, and Control and Systems Engineering.

The scientist's research focuses on a range of topics such as Phase Equilibria and Thermodynamics, Metal-Organic Frameworks: Synthesis and Applications, Carbon Dioxide Capture Technologies, Process Optimization and Integration, Advanced Photocatalysis Techniques, Ionic liquids properties and applications, and Gas Sensing Nanomaterials and Sensors.

Frequent coauthors in their publications include Sajjad Habibzadeh, Narjes Nabipour, Amin Esmaeili, Amir Mosavi, and Shahaboddin Shamshirband.

Alireza Baghban has published extensively in several academic venues. The most frequent publication outlets include Scientific Reports, RSC Advances, Engineering Applications of Computational Fluid Mechanics, Environmental Progress & Sustainable Energy, and Applied Surface Science.

Notable recent papers by Alireza Baghban include:

  • Estimation of adsorption capacity of CO2, CH4, and their binary mixtures in Quidam shale using LSSVM: Application in CO2 enhanced shale gas recovery and CO2 storage, 2020, Journal of Natural Gas Science and Engineering
  • Estimating biofuel density via a soft computing approach based on intermolecular interactions, 2020, Renewable Energy
  • An insight into tetracycline photocatalytic degradation by MOFs using the artificial intelligence technique, 2022, Scientific Reports
  • Estimating CO2-Brine diffusivity using hybrid models of ANFIS and evolutionary algorithms, 2020, Engineering Applications of Computational Fluid Mechanics
  • Towards estimation of CO2 adsorption on highly porous MOF-based adsorbents using gaussian process regression approach, 2021, Scientific Reports

Best Publications

  • Prediction carbon dioxide solubility in presence of various ionic liquids using computational intelligence approaches

    Alireza Baghban;Mohammad Ali Ahmadi;Bahram Hashemi Shahraki

  • Sensitivity analysis and application of machine learning methods to predict the heat transfer performance of CNT/water nanofluid flows through coils

    Alireza Baghban;Mostafa Kahani;Mohammad Alhuyi Nazari;Mohammad Hossein Ahmadi

  • Evaluation of electrical efficiency of photovoltaic thermal solar collector

    Mohammad Hossein Ahmadi;Alireza Baghban;Milad Sadeghzadeh;Mohammad Zamen

  • Rigorous modeling of CO2 equilibrium absorption in ionic liquids

    Alireza Baghban;Amir H. Mohammadi;Amir H. Mohammadi;Mohammad Soodbakhsh Taleghani

  • Estimation of air dew point temperature using computational intelligence schemes

    Alireza Baghban;Mohammad Bahadori;Jake Rozyn;Moonyong Lee

  • Developing an ANFIS-based swarm concept model for estimating the relative viscosity of nanofluids

    Alireza Baghban;Ali Jalali;Mojtaba Shafiee;Mohammad Hossein Ahmadi

  • Modeling of cetane number of biodiesel from fatty acid methyl ester (FAME) information using GA-, PSO-, and HGAPSO- LSSVM models

    Amin Bemani;Qingang Xiong;Alireza Baghban;Sajjad Habibzadeh

  • Estimating hydrogen sulfide solubility in ionic liquids using a machine learning approach

    Ali Shafiei;Mohammad Ali Ahmadi;Seyed Hayan Zaheri;Alireza Baghban

  • Phase equilibrium modeling of semi-clathrate hydrates of seven commonly gases in the presence of TBAB ionic liquid promoter based on a low parameter connectionist technique

    Alireza Baghban;Mohammad Ali Ahmadi;Mohammad Ali Ahmadi;Behzad Pouladi;Behnam Amanna

  • Prediction of CO2 loading capacities of aqueous solutions ofabsorbents using different computational schemes

    Alireza Baghban;Alireza Bahadori;Amir H. Mohammadi;Amir H. Mohammadi;Amirreza Behbahaninia

  • An insight into tetracycline photocatalytic degradation by MOFs using the artificial intelligence technique

    Unknown

  • Developing an ANFIS-PSO Model to Predict Mercury Emissions in Combustion Flue Gases

    Shahaboddin Shamshirband;Masoud Hadipoor;Alireza Baghban;Amir Mosavi;Amir Mosavi;Amir Mosavi

  • Experimental, kinetic, and thermodynamic studies of adsorptive desulfurization and denitrogenation of model fuels using novel mesoporous materials.

    Maryam Ahmadi;Mohammad Mohammadian;Mohammad Reza Khosravi-Nikou;Alireza Baghban

  • Estimation of Adsorption Capacity of CO2, CH4, and their Binary Mixtures in Quidam Shale using LSSVM: Application in CO2 Enhanced Shale Gas Recovery and CO2 Storage

    Amin Bemani;Alireza Baghban;Amir H. Mohammadi;Pål Østebø Andersen

  • An insight into the estimation of fatty acid methyl ester based biodiesel properties using a LSSVM model

    Razieh Razavi;Amin Bemani;Alireza Baghban;Amir H. Mohammadi

  • Evolving machine learning models to predict hydrogen sulfide solubility in the presence of various ionic liquids

    Hamid Reza Amedi;Alireza Baghban;Mohammad Ali Ahmadi

  • Prediction viscosity of ionic liquids using a hybrid LSSVM and group contribution method

    Alireza Baghban;Mohammad Navid Kardani;Sajjad Habibzadeh

  • Towards estimation of CO2 adsorption on highly porous MOF-based adsorbents using gaussian process regression approach.

    Majedeh Gheytanzadeh;Alireza Baghban;Sajjad Habibzadeh;Sajjad Habibzadeh;Amin Esmaeili

  • Estimating biofuel density via a soft computing approach based on intermolecular interactions

    Narjes Nabipour;Reza Daneshfar;Omid Rezvanjou;Mohammad Mohammadi-Khanaposhtani

  • Application of ANFIS and LSSVM strategies for estimating thermal conductivity enhancement of metal and metal oxide based nanofluids

    Razieh Razavi;Aida Sabaghmoghadam;Amin Bemani;Alireza Baghban

  • Rigorous prognostication of permeability of heterogeneous carbonate oil reservoirs: Smart modeling and correlation development

    Alireza Rostami;Alireza Baghban;Amir H Mohammadi;Abdolhossein Hemmati-Sarapardeh

  • Evolving connectionist approaches to compute thermal conductivity of TiO2/water nanofluid

    Mohammad Hossein Ahmadi;Alireza Baghban;Milad Sadeghzadeh;Masoud Hadipoor

  • Improved estimation of Cetane number of fatty acid methyl esters (FAMEs) based biodiesels using TLBO-NN and PSO-NN models

    Alireza Baghban;Mohammad Navid Kardani;Amir H. Mohammadi

Frequent Co-Authors

Amir H. Mohammadi
Amir H. Mohammadi University of KwaZulu-Natal
Amir Mosavi
Amir Mosavi Óbuda University
Alireza Bahadori
Alireza Bahadori Southern Cross University
Mohammad Hossein Ahmadi
Mohammad Hossein Ahmadi Shahrood University of Technology
Shahab S. Band
Shahab S. Band National Yunlin University of Science and Technology
Mohammad Ali Ahmadi
Mohammad Ali Ahmadi University of Calgary
Milad Sadeghzadeh
Milad Sadeghzadeh University of Tehran
Moonyong Lee
Moonyong Lee Yeungnam University
Zhien Zhang
Zhien Zhang The Ohio State University
Kwok-wing Chau
Kwok-wing Chau Hong Kong Polytechnic University

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