Prof. Shirko Faroughi | Engineering | Best Researcher Award

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. 📚🌍

Professional Profile:

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Education & Experience 🎓📜

• Ph.D. in Mechanical Engineering (2010) – Iran University of Science and Technology 🏛️

• M.S. in Mechanical Engineering (2005) – Iran University of Science and Technology 🏗️

• B.S. in Mechanical Engineering (2003) – Tabriz University 🚗

🔹 Academic Roles

• Professor (2020 – Present) – Urmia University of Technology 👨‍🏫

• Associate Professor (2015 – 2020) – Urmia University of Technology 🔬

• Assistant Professor (2011 – 2015) – Urmia University of Technology 📖

• Visiting Researcher (2008 – 2009) – KTH University, Sweden 🇸🇪

🔹 Administrative & International Positions

• Dean of Mechanical Engineering Department (2022 – Present) 🏢

• CICOPS Scholar – University of Pavia, Italy (2022) 🇮🇹

• Research Collaborator – Swansea University, UK (2015 – Present) 🇬🇧

• Research Collaborator – New Mexico State University, USA (2016 – Present) 🇺🇸

• Research Collaborator – Bauhaus University Weimar, Germany (2017 – Present) 🇩🇪

Professional Development 🌍📚

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. 🌎💡

Research Focus 🔍🧠

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:

• Superconvergent mass and stiffness matrices 📐🔬

• Isogeometric and finite element methods 🏗️📊

• Fracture mechanics and phase-field modeling 🏚️💥

• Tensegrity structures and energy harvesting ⚡🔩

• Machine learning and transfer learning in mechanical simulations 🤖📈

• 3D printing simulations and advanced material modeling 🖨️🧩

His research bridges traditional mechanical engineering with AI and computational techniques, pushing engineering boundaries through innovative numerical simulations. 🚀🔢

Awards & Honors 🏆🎖️

• CICOPS Scholarship – University of Pavia, Italy (2022) 🇮🇹

• Visiting Researcher – KTH University, Sweden (2008-2009) 🇸🇪

• Research Collaborator – Swansea University, UK (2015-Present) 🇬🇧

• Research Collaborator – Bauhaus University Weimar, Germany (2017-Present) 🇩🇪

• Research Collaborator – New Mexico State University, USA (2016-Present) 🇺🇸

• Dean of Mechanical Engineering Department – Urmia University of Technology (2022-Present) 🏛️

• Multiple Grants for Advanced Computational Mechanics Research 🎓🔍

Publication Top Notes

1. Wave Propagation in 2D Functionally Graded Porous Rotating Nano-Beams

   • Authors: S. Faroughi, A. Rahmani, M.I. Friswell

   • Published in Applied Mathematical Modelling (2020)

   • Citations: 71

   • Focus: Investigates wave propagation in porous nano-beams using a general nonlocal higher-order beam theory, considering functionally graded materials and rotation effects.

2. Vibration of 2D Imperfect Functionally Graded Porous Rotating Nanobeams

   • Authors: A. Rahmani, S. Faroughi, M.I. Friswell

   • Published in Mechanical Systems and Signal Processing (2020)

   • Citations: 54

   • Focus: Examines vibration behavior of imperfect functionally graded porous rotating nanobeams based on a generalized nonlocal theory.

3. Non-linear Dynamic Analysis of Tensegrity Structures Using a Co-Rotational Method

   • Authors: S. Faroughi, H.H. Khodaparast, M.I. Friswell

   • Published in International Journal of Non-Linear Mechanics (2015)

   • Citations: 47

   • Focus: Develops a co-rotational method for analyzing nonlinear dynamics of tensegrity structures.

4. Physics-Informed Neural Networks for Solute Transport in Heterogeneous Porous Media

   • Authors: S.A. Faroughi, R. Soltanmohammadi, P. Datta, S.K. Mahjour, S. Faroughi

   • Published in Mathematics (2023)

   • Citations: 40

   • Focus: Uses physics-informed neural networks (PINNs) with periodic activation functions to model solute transport in heterogeneous porous media.

5. Nonlinear Transient Vibration of Viscoelastic Plates Using a NURBS-Based Isogeometric HSDT Approach

   • Authors: E. Shafei, S. Faroughi, T. Rabczuk

   • Published in Computers & Mathematics with Applications (2021)

   • Citations: 30

   • Focus: Investigates nonlinear transient vibrations of viscoelastic plates using an isogeometric high-order shear deformation theory (HSDT) approach.