Masoud Vakili

Masoud Vakili

Higher Degree by Research Candidate

School of Mechanical Engineering (Inact)

Faculty of Sciences, Engineering and Technology

  • Journals
    Year Citation
    2023 Vakili, M., & Salehi, S. A. (2023). A review of recent developments in the application of machine learning in solar thermal collector modelling. Environmental Science and Pollution Research, 30(2), 2406-2439.
    DOI Scopus5 WoS1
    2022 Yahyaei, M., Vakili, M., & Paknezhad, B. (2022). Artificial brain structure-based modeling to predict the photo-thermal conversion performance of graphene nanoplatelets nanofluid using experimental data. Journal of Thermal Analysis and Calorimetry, 147(1), 109-121.
    DOI Scopus1 WoS1
    2021 Paknezhad, B., Vakili, M., Bozorgi, M., Hajialibabaie, M., & Yahyaei, M. (2021). A hybrid genetic–BP algorithm approach for thermal conductivity modeling of nanofluid containing silver nanoparticles coated with PVP. Journal of Thermal Analysis and Calorimetry, 146(1), 17-30.
    DOI Scopus6 WoS6
    2021 Vakili, M., Yahyaei, M., Ramsay, J., Aghajannezhad, P., & Paknezhad, B. (2021). Adaptive neuro-fuzzy inference system modeling to predict the performance of graphene nanoplatelets nanofluid-based direct absorption solar collector based on experimental study. Renewable Energy, 163, 807-824.
    DOI Scopus26 WoS23
    2021 Riahi, S., Abedini, E., Vakili, M., & Riahi, M. (2021). Providing an accurate global model for monthly solar radiation forecasting using artificial intelligence based on air quality index and meteorological data of different cities worldwide. Environmental Science and Pollution Research, 28(36), 49697-49724.
    DOI Scopus2 WoS2
    2017 Vakili, M., Karami, M., Delfani, S., Khosrojerdi, S., & Kalhor, K. (2017). Experimental investigation and modeling of thermal conductivity of CuO–water/EG nanofluid by FFBP-ANN and multiple regressions. Journal of Thermal Analysis and Calorimetry, 129(2), 629-637.
    DOI Scopus37 WoS32
    2017 khosrojerdi, S., Lavasani, A. M., & Vakili, M. (2017). Experimental study of photothermal specifications and stability of graphene oxide nanoplatelets nanofluid as working fluid for low-temperature Direct Absorption Solar Collectors (DASCs). Solar Energy Materials and Solar Cells, 164, 32-39.
    DOI Scopus58 WoS56
    2017 Vakili, M., Khosrojerdi, S., Aghajannezhad, P., & Yahyaei, M. (2017). A hybrid artificial neural network-genetic algorithm modeling approach for viscosity estimation of graphene nanoplatelets nanofluid using experimental data. International Communications in Heat and Mass Transfer, 82, 40-48.
    DOI Scopus68 WoS65
    2017 Vakili, M., Sabbagh-Yazdi, S. R., Khosrojerdi, S., & Kalhor, K. (2017). Evaluating the effect of particulate matter pollution on estimation of daily global solar radiation using artificial neural network modeling based on meteorological data. Journal of Cleaner Production, 141, 1275-1285.
    DOI Scopus73 WoS65
    2016 Vakili, M., Hosseinalipour, S. M., Delfani, S., Khosrojerdi, S., & Karami, M. (2016). Experimental investigation of graphene nanoplatelets nanofluid-based volumetric solar collector for domestic hot water systems. Solar Energy, 131, 119-130.
    DOI Scopus113 WoS107
    2016 Vakili, M., Karami, M., Delfani, S., & Khosrojerdi, S. (2016). Experimental investigation and modeling of thermal radiative properties of f-CNTs nanofluid by artificial neural network with Levenberg–Marquardt algorithm. International Communications in Heat and Mass Transfer, 78, 224-230.
    DOI Scopus28 WoS25
    2016 khosrojerdi, S., Vakili, M., Yahyaei, M., & Kalhor, K. (2016). Thermal conductivity modeling of graphene nanoplatelets/deionized water nanofluid by MLP neural network and theoretical modeling using experimental results. International Communications in Heat and Mass Transfer, 74, 11-17.
    DOI Scopus74 WoS71
    2016 Vakili, M., Hosseinalipour, S. M., Delfani, S., & Khosrojerdi, S. (2016). Photothermal properties of graphene nanoplatelets nanofluid for low-temperature direct absorption solar collectors. Solar Energy Materials and Solar Cells, 152, 187-191.
    DOI Scopus77 WoS73
    2016 Tahani, M., Vakili, M., & Khosrojerdi, S. (2016). Experimental evaluation and ANN modeling of thermal conductivity of graphene oxide nanoplatelets/deionized water nanofluid. International Communications in Heat and Mass Transfer, 76, 358-365.
    DOI Scopus73 WoS69
    2015 Vakili, M., Sabbagh-Yazdi, S. R., Kalhor, K., & Khosrojerdi, S. (2015). Using Artificial Neural Networks for Prediction of Global Solar Radiation in Tehran Considering Particulate Matter Air Pollution. Energy Procedia, 74, 1205-1212.
    DOI Scopus48 WoS40
  • 2023-2027      University of Adelaide Research Scholarships (UARS)

  • Review, Assessment, Editorial and Advice
    Date Title Type Institution Country
    2019 - ongoing Reviewer Journal Review International Journal of Energy Research Journal, Wiley Publishing United Kingdom
    2019 - ongoing Reviewer Journal Review Chemical Engineering and Technology Journal, Wiley Publishing Germany
    2019 - ongoing Reviewer Journal Review Neurocomputing, Elsevier Publishing Netherlands
    2019 - ongoing Reviewer Journal Review Renewable Energy Journal, Elsevier Publishing United Kingdom
    2018 - ongoing Reviewer Journal Review Journal of Thermal Analysis and Calorimetry, Springer Publishing Netherlands
    2018 - ongoing Reviewer Journal Review Neural Computing and Applications, Springer Publishing United Kingdom
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