علایق پژوهشی : آنالیز المان محدود، شکست، خستگی، خوردگی، نانو، نانوگرافن، شبکه عصبی (هوش مصنوعی)، شبکه فازی، شبکه عصبی فازی، بهینه سازی، ساخت و تولید، طراحی کاربردی، مکانیک خودرو

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داور نخستین رویداد استارت آپ ملی تابش مهارت، ایده نوآورانه، شهر هوشمند (تاش)

داور و عضو هیات تحریریه مجله Sound and Vibration

داور و عضو کمیته علمی مجله Material Science: Advanced Composite Material

داور و عضو کمیته علمی انتشارات Global Open Share Publishing

داور مجله International Journal of Industrial Electronics Control and Optimization

داور مجله Computer Modeling in Engineering and Sciences

 ISI: 1.      Application of Artificial Intelligence Techniques in Assessing the Safety of Lifting Equipment, e-Journal of Nondestructive Testing

ISI: 2.      Application of scaled boundary finite element method in failure probability estimation of square nanographene sheet, Ain Shams Engineering, Q1, Netherlands, IF:6, DOI:10.1016/j.asej.2023.102420

ISI: 3.      Prediction the dynamic viscosity of MWCNT-Al2O3 (30:70)/ Oil 5W50 hybrid nano-lubricant using Principal Component Analysis (PCA) with Artificial Neural Network (ANN), Egyptian Informatics Journal, Q1, Netherlands, IF5.2, DOI: 10.1016/j.eij.2022.03.004

ISI: 4.      Designing the best ANN topology for predicting the dynamic viscosity and rheological behavior of MWCNT-CuO (30:70)/ SAE 50 nano-lubricant Colloids and Surfaces A: Physicochemical and Engineering Aspects,Q1, Netherlands, IF5.2, DOI: 10.1016/j.colsurfa.2022.129691

ISI: 5.      Applying Artificial Neural Networks (ANNs) for prediction of the thermal characteristics of engine oil –based nanofluids containing tungsten oxide -MWCNTs Case Studies in Thermal Engineering,Q1, Netherlands, IF6.8, DOI: 10.1016/j.csite.2021.101122

ISI: 6.      Addition of MWCNT-Al2O3 nanopowders to water-ethylene glycol (EG) base fluid for enhancing the thermal characteristics: Design an optimum feed-forward neural network Case Studies in Thermal Engineering,Q1, Netherlands, IF6.8, DOI: 10.1016/j.csite.2021.101293

ISI: 7.      Designing of Artificial Neural Network (ANN) to predict the dynamic viscosity of Silver/Ethylene glycol nanofluid at different temperatures and solid volume fractions Physica A: Statistical Mechanics and its Applications, Q2, Netherlands, IF3.3, DOI: 10.1016/j.physa.2019.122142

ISI: 8.     Empowering the boiling condition of Argon flow inside a rectangular microchannel with suspending silver nanoparticles by using of molecular dynamics simulation, Journal of Molecular Liquid, Q1, Netherlands, IF6.633, DOI: 10.1016/j.physa.2019.122142

ISI: 9.      Stochastic response analysis of cracked nanographene sheets by scaled boundary finite element method Engineering analysis with boundary elements, Q1, England, IF3.3, DOI: 10.1016/j.enganabound.2018.10.005

ISI: 10.      Modeling different structures in perturbed flow in a nanochannel by using of statistical mechanics:study of equilibrium, Physica A: Statistical Mechanics and its Applications, Q2, Netherlands, IF3.3, DOI: 10.1016/j.physa.2018.09.177

ISI: 11.      Molecular dynamics simulation of fluid flow passing through a nanochannel:Effect of geometric shape of roughnesses, Journal of Molecular Liquid, Q1, Netherlands, IF6.633 , DOI: 10.1016/j.molliq.2018.11.057

ISI: 12.      Information technologies (IT) applications for construction: case study: The tallest silo of the world in Zurich, American journal of civil and environmental engineering

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