Academic at Urmia University of Technoloy, Iran
Dr. Shirko Faroughi, an esteemed Professor of Mechanical Engineering at Urmia University of Technology, Iran, specializes in Computational Mechanics, Isogeometric Analysis, and Finite Element Methods. With a Ph.D. from Iran University of Science and Technology, he has held research positions at KTH University (Sweden), Swansea University (UK), and Bauhaus University Weimar (Germany). His work spans fracture mechanics, machine learning, and 3D printing simulations. As a CICOPS Scholar at the University of Pavia, Italy, Dr. Faroughi actively collaborates on international research projects, contributing significantly to advanced numerical methods. ๐๐
Professional Profile:
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Education & Experience ๐๐
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Ph.D. in Mechanical Engineering (2010) โ Iran University of Science and Technology ๐๏ธ
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M.S. in Mechanical Engineering (2005) โ Iran University of Science and Technology ๐๏ธ
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B.S. in Mechanical Engineering (2003) โ Tabriz University ๐
๐น Academic Roles
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Professor (2020 โ Present) โ Urmia University of Technology ๐จโ๐ซ
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Associate Professor (2015 โ 2020) โ Urmia University of Technology ๐ฌ
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Assistant Professor (2011 โ 2015) โ Urmia University of Technology ๐
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Visiting Researcher (2008 โ 2009) โ KTH University, Sweden ๐ธ๐ช
๐น Administrative & International Positions
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Dean of Mechanical Engineering Department (2022 โ Present) ๐ข
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CICOPS Scholar โ University of Pavia, Italy (2022) ๐ฎ๐น
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Research Collaborator โ Swansea University, UK (2015 โ Present) ๐ฌ๐ง
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Research Collaborator โ New Mexico State University, USA (2016 โ Present) ๐บ๐ธ
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Research Collaborator โ Bauhaus University Weimar, Germany (2017 โ Present) ๐ฉ๐ช
Professional Development ๐๐
Dr. Shirko Faroughi has made remarkable contributions to mechanical engineering through computational mechanics, finite element analysis, and machine learning. His research advances superconvergent mass and stiffness matrices, isogeometric methods, phase-field methods, and energy harvesting. He also integrates AI-driven techniques to enhance engineering simulations. His collaborations span Europe and the U.S., working with top researchers on thin structures, 3D printing, and structural dynamics. As a department dean and international collaborator, he plays a pivotal role in engineering education and research innovations, fostering global academic partnerships. ๐๐ก
Research Focus ๐๐ง
Dr. Faroughi’s research primarily revolves around Computational Mechanics and Advanced Numerical Methods, integrating Artificial Intelligence and Machine Learning for engineering applications. His work focuses on:
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Superconvergent mass and stiffness matrices ๐๐ฌ
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Isogeometric and finite element methods ๐๏ธ๐
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Fracture mechanics and phase-field modeling ๐๏ธ๐ฅ
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Tensegrity structures and energy harvesting โก๐ฉ
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Machine learning and transfer learning in mechanical simulations ๐ค๐
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3D printing simulations and advanced material modeling ๐จ๏ธ๐งฉ
His research bridges traditional mechanical engineering with AI and computational techniques, pushing engineering boundaries through innovative numerical simulations. ๐๐ข
Awards & Honors ๐๐๏ธ
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CICOPS Scholarship โ University of Pavia, Italy (2022) ๐ฎ๐น
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Visiting Researcher โ KTH University, Sweden (2008-2009) ๐ธ๐ช
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Research Collaborator โ Swansea University, UK (2015-Present) ๐ฌ๐ง
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Research Collaborator โ Bauhaus University Weimar, Germany (2017-Present) ๐ฉ๐ช
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Research Collaborator โ New Mexico State University, USA (2016-Present) ๐บ๐ธ
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Dean of Mechanical Engineering Department โ Urmia University of Technology (2022-Present) ๐๏ธ
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Multiple Grants for Advanced Computational Mechanics Research ๐๐
Publication Top Notes
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Wave Propagation in 2D Functionally Graded Porous Rotating Nano-Beams
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Authors: S. Faroughi, A. Rahmani, M.I. Friswell
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Published in Applied Mathematical Modelling (2020)
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Citations: 71
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Focus: Investigates wave propagation in porous nano-beams using a general nonlocal higher-order beam theory, considering functionally graded materials and rotation effects.
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Vibration of 2D Imperfect Functionally Graded Porous Rotating Nanobeams
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Authors: A. Rahmani, S. Faroughi, M.I. Friswell
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Published in Mechanical Systems and Signal Processing (2020)
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Citations: 54
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Focus: Examines vibration behavior of imperfect functionally graded porous rotating nanobeams based on a generalized nonlocal theory.
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Non-linear Dynamic Analysis of Tensegrity Structures Using a Co-Rotational Method
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Authors: S. Faroughi, H.H. Khodaparast, M.I. Friswell
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Published in International Journal of Non-Linear Mechanics (2015)
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Citations: 47
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Focus: Develops a co-rotational method for analyzing nonlinear dynamics of tensegrity structures.
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Physics-Informed Neural Networks for Solute Transport in Heterogeneous Porous Media
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Authors: S.A. Faroughi, R. Soltanmohammadi, P. Datta, S.K. Mahjour, S. Faroughi
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Published in Mathematics (2023)
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Citations: 40
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Focus: Uses physics-informed neural networks (PINNs) with periodic activation functions to model solute transport in heterogeneous porous media.
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Nonlinear Transient Vibration of Viscoelastic Plates Using a NURBS-Based Isogeometric HSDT Approach
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Authors: E. Shafei, S. Faroughi, T. Rabczuk
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Published in Computers & Mathematics with Applications (2021)
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Citations: 30
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Focus: Investigates nonlinear transient vibrations of viscoelastic plates using an isogeometric high-order shear deformation theory (HSDT) approach.