Shirko Faroughi | Engineering | Best Researcher Award

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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. ๐Ÿ“š๐ŸŒ

Professional Profile:

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Education & Experience ๐ŸŽ“๐Ÿ“œ

  • Ph.D. in Mechanical Engineering (2010) โ€“ Iran University of Science and Technology ๐Ÿ›๏ธ

  • M.S. in Mechanical Engineering (2005) โ€“ Iran University of Science and Technology ๐Ÿ—๏ธ

  • B.S. in Mechanical Engineering (2003) โ€“ Tabriz University ๐Ÿš—

๐Ÿ”น Academic Roles

  • Professor (2020 โ€“ Present) โ€“ Urmia University of Technology ๐Ÿ‘จโ€๐Ÿซ

  • Associate Professor (2015 โ€“ 2020) โ€“ Urmia University of Technology ๐Ÿ”ฌ

  • Assistant Professor (2011 โ€“ 2015) โ€“ Urmia University of Technology ๐Ÿ“–

  • Visiting Researcher (2008 โ€“ 2009) โ€“ KTH University, Sweden ๐Ÿ‡ธ๐Ÿ‡ช

๐Ÿ”น Administrative & International Positions

  • Dean of Mechanical Engineering Department (2022 โ€“ Present) ๐Ÿข

  • CICOPS Scholar โ€“ University of Pavia, Italy (2022) ๐Ÿ‡ฎ๐Ÿ‡น

  • Research Collaborator โ€“ Swansea University, UK (2015 โ€“ Present) ๐Ÿ‡ฌ๐Ÿ‡ง

  • Research Collaborator โ€“ New Mexico State University, USA (2016 โ€“ Present) ๐Ÿ‡บ๐Ÿ‡ธ

  • Research Collaborator โ€“ Bauhaus University Weimar, Germany (2017 โ€“ Present) ๐Ÿ‡ฉ๐Ÿ‡ช

Professional Development ๐ŸŒ๐Ÿ“š

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. ๐ŸŒŽ๐Ÿ’ก

Research Focus ๐Ÿ”๐Ÿง 

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 ๐Ÿ“๐Ÿ”ฌ

  • Isogeometric and finite element methods ๐Ÿ—๏ธ๐Ÿ“Š

  • Fracture mechanics and phase-field modeling ๐Ÿš๏ธ๐Ÿ’ฅ

  • Tensegrity structures and energy harvesting โšก๐Ÿ”ฉ

  • Machine learning and transfer learning in mechanical simulations ๐Ÿค–๐Ÿ“ˆ

  • 3D printing simulations and advanced material modeling ๐Ÿ–จ๏ธ๐Ÿงฉ

His research bridges traditional mechanical engineering with AI and computational techniques, pushing engineering boundaries through innovative numerical simulations. ๐Ÿš€๐Ÿ”ข

Awards & Honors ๐Ÿ†๐ŸŽ–๏ธ

  • CICOPS Scholarship โ€“ University of Pavia, Italy (2022) ๐Ÿ‡ฎ๐Ÿ‡น

  • Visiting Researcher โ€“ KTH University, Sweden (2008-2009) ๐Ÿ‡ธ๐Ÿ‡ช

  • Research Collaborator โ€“ Swansea University, UK (2015-Present) ๐Ÿ‡ฌ๐Ÿ‡ง

  • Research Collaborator โ€“ Bauhaus University Weimar, Germany (2017-Present) ๐Ÿ‡ฉ๐Ÿ‡ช

  • Research Collaborator โ€“ New Mexico State University, USA (2016-Present) ๐Ÿ‡บ๐Ÿ‡ธ

  • Dean of Mechanical Engineering Department โ€“ Urmia University of Technology (2022-Present) ๐Ÿ›๏ธ

  • Multiple Grants for Advanced Computational Mechanics Research ๐ŸŽ“๐Ÿ”

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.

Mahmood Shakiba | Engineering | Best Researcher Award

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Assist. Prof. Dr. Mahmood Shakiba | Engineering | Best Researcher Award

Faculty member at Ferdowsi University of Mashhad, Iran

Dr. mahmood shakiba ๐Ÿ‡ฎ๐Ÿ‡ท is an assistant professor at Ferdowsi University of Mashhad, specializing in petroleum engineering with expertise in hydrocarbon reservoirs and enhanced oil recovery (EOR) ๐Ÿ›ข๏ธ. He earned his Ph.D. from Amirkabir University of Technology (2020) ๐ŸŽ“, focusing on nano-assisted smart water for sand production control. With extensive experience in COโ‚‚ and Hโ‚‚ underground storage projects, reservoir characterization, and formation damage remediation, he has held key academic and industrial roles. As a researcher and educator, he has contributed significantly to petroleum engineering, guiding students and leading innovative studies in reservoir engineering and geomechanics ๐Ÿ”ฌ๐Ÿ“š.

Professional Profile

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Education & Experience

Education ๐ŸŽ“

โœ… Ph.D. in Petroleum Engineering (Hydrocarbon Reservoirs), Amirkabir University of Technology (2016-2020)

  • Thesis: Nano-assisted smart water for sand production in unconsolidated sandstone reservoirs.

โœ… M.Sc. in Petroleum Engineering (Hydrocarbon Reservoirs), Shiraz University (2012-2014)

  • Thesis: Enhanced oil recovery & COโ‚‚ storage via carbonated water injection.

โœ… B.Sc. in Petroleum Engineering (Reservoir Engineering), Shiraz University (2008-2012)

  • Thesis: Simulation of solution gas drive in fractured reservoirs.

Work Experience ๐Ÿ› ๏ธ

๐Ÿ”น Assistant Professor โ€“ Ferdowsi University of Mashhad (2023-Present)
๐Ÿ”น Project Supervisor โ€“ Underground COโ‚‚ Storage (2023-Present)
๐Ÿ”น Researcher โ€“ Underground Hโ‚‚ Storage, RIPI (2023-Present)
๐Ÿ”น Technical Manager โ€“ Upstream Oil Research Center, Sharif University (2020-2022)
๐Ÿ”น Technical Supervisor โ€“ MAPSA Co., Tehran (2019-2020)
๐Ÿ”น Industrial Consultant โ€“ MAPSA Co., Tehran (2019-2020)
๐Ÿ”น Senior Lab Equipment Designer โ€“ MAPSA Co., Tehran (2018-2019)
๐Ÿ”น Researcher โ€“ Advanced EOR Research Center, Shiraz University (2011-2014)

Professional Development ๐ŸŒŸ

Dr. mahmood shakiba has significantly contributed to petroleum engineering through teaching, research, and industrial consulting ๐Ÿ“–๐Ÿ”ฌ. His expertise spans reservoir engineering, well testing, and gas reservoirs ๐Ÿš€. At Ferdowsi University, he educates students on reservoir management and maintenance, while leading projects on underground COโ‚‚ and Hโ‚‚ storage. His industry experience includes technical supervision, reservoir characterization, and EOR techniques ๐Ÿญ. Dr. shakiba has also played a key role in laboratory equipment design and geomechanical feasibility studies. His dedication to advancing sustainable energy storage and petroleum recovery has established him as a leader in the field ๐ŸŒ๐Ÿ’ก.

Research Focus ๐Ÿ”ฌ

Dr. shakibaโ€™s research primarily focuses on enhanced oil recovery (EOR), underground storage of COโ‚‚ and Hโ‚‚, and reservoir geomechanics ๐Ÿ—๏ธ. His experimental and simulation studies have explored innovative methods for improving oil recovery and mitigating environmental impact ๐ŸŒฑ. He has investigated nano-assisted smart water flooding, formation damage remediation, and COโ‚‚ sequestration to optimize hydrocarbon reservoir performance. His geological and geomechanical feasibility studies have contributed to safe underground hydrogen storage โšก. His work advances sustainable energy solutions while improving oil and gas recovery efficiency for the future ๐ŸŒ๐Ÿ”‹.

Awards & Honors ๐Ÿ†

๐Ÿ… Technical Leadership Award โ€“ Upstream Oil Research Center, Sharif University
๐Ÿ… Outstanding Research Contribution โ€“ Research Institute of Petroleum Industry (RIPI)
๐Ÿ… Best Thesis Award โ€“ Amirkabir University of Technology (2020)
๐Ÿ… Top Researcher Recognition โ€“ Shiraz University EOR Research Center
๐Ÿ… Best Instructor Award โ€“ Ferdowsi University of Mashhad (2023)

Publication Top Notes

  1. Investigation of oil recovery and COโ‚‚ storage during secondary and tertiary injection of carbonated water in an Iranian carbonate oil reservoir

    • Journal of Petroleum Science and Engineering (2016)
    • Citations: 79
    • Examines how carbonated water injection (CWI) enhances oil recovery and COโ‚‚ storage efficiency in carbonate reservoirs under secondary and tertiary injection scenarios.

  2. A mechanistic study of smart water injection in the presence of nanoparticles for sand production control in unconsolidated sandstone reservoirs

    • Journal of Molecular Liquids (2020)
    • Citations: 35
    • Investigates how smart water, combined with nanoparticles, helps mitigate sand production in weakly consolidated sandstone reservoirs while improving oil recovery.

  3. The impact of connate water saturation and salinity on oil recovery and COโ‚‚ storage capacity during carbonated water injection in carbonate rock

    • Chinese Journal of Chemical Engineering (2019)
    • Citations: 29
    • Analyzes how variations in connate water saturation and salinity influence oil displacement efficiency and COโ‚‚ trapping during CWI in carbonate formations.

  4. Effects of type and distribution of clay minerals on the physico-chemical and geomechanical properties of engineered porous rocks

    • Scientific Reports (2023)
    • Citations: 21* (recently published)
    • Studies how different clay minerals affect the structural integrity and chemical behavior of engineered porous rocks, impacting reservoir performance.

  5. An experimental insight into the influence of sand grain size distribution on the petrophysical and geomechanical properties of artificially made sandstones

    • Journal of Petroleum Science and Engineering (2022)
    • Citations: 15
    • Explores the role of sand grain size variations in determining the permeability, porosity, and mechanical strength of artificial sandstone samples.

Zhou Zhiwu | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Zhou Zhiwu | Engineering | Best Researcher Award

School of Civil and Environmental Engineering at Hunan University of Science and Engineering, China

Zhou zhiwu, a senior engineer and registered tester, is an associate professor and masterโ€™s supervisor at hunan university of science and engineering. he earned his ph.d. in transportation infrastructure and territory from the polytechnic university of valencia (๐Ÿ‡ช๐Ÿ‡ธ) with top honors, including the UPV Outstanding Doctorate and the 2023 Spanish Outstanding Doctoral Award ๐Ÿ†. with 15 years in national engineering projects, he has led major constructions, published 28 research papers ๐Ÿ“„, and serves as a reviewer for 20 SCI journals. his expertise spans (ancient) bridge monitoring, high-speed railway track optimization, and sustainable structural design.

Professional Profile

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Education & Experience ๐ŸŽ“๐Ÿ‘ทโ€โ™‚๏ธ

๐Ÿ“š Education:

  • ๐ŸŽ“ Bachelorโ€™s in Architectural Engineering โ€“ Lanzhou Jiaotong University (2000-2004)
  • ๐ŸŽ“ Masterโ€™s in Transportation Engineering โ€“ Lanzhou Jiaotong University (2013-2016)
  • ๐ŸŽ“ Ph.D. in Transport Infrastructure & Territory โ€“ Polytechnic University of Valencia, Spain (2019-2023) ๐Ÿ…

๐Ÿ’ผ Work Experience:

  • ๐Ÿ— Project Manager โ€“ China Railway 15th Bureau Group (2002-2017)
  • ๐Ÿข Chief Engineer โ€“ Xinjiang Highway Science & Technology Research Institute (2017-2018)
  • ๐Ÿ“– Full-time Teacher & Leader โ€“ Chongqing Public Vocational Transport College (2018-2019)
  • ๐Ÿ”ฌ Doctor & Associate Researcher โ€“ Polytechnic University of Valencia, Spain (2019-2023)
  • ๐ŸŽ“ Associate Professor & Master Supervisor โ€“ Hunan University of Science and Engineering (2023-Present)

Professional Development ๐Ÿš€๐Ÿ”ฌ

Zhou zhiwu is a multidisciplinary researcher and engineer specializing in transportation infrastructure, structural health monitoring, and sustainable development. with over 15 years of experience in large-scale construction projects ๐Ÿ—, he has contributed to high-speed railways ๐Ÿš„, highways ๐Ÿ›ฃ, and industrial buildings ๐Ÿข. he has led and participated in 11 international and national research projects, collaborated with top institutions, and published extensively in SCI-indexed journals ๐Ÿ“š. in addition to research, he is a dedicated educator ๐Ÿ“– and serves as an editorial board member for the American Journal of Environmental Science and Engineering, actively reviewing 148+ research articles.

Research Focus ๐Ÿ”๐Ÿ—

Zhou zhiwuโ€™s research lies in transportation engineering, structural monitoring, and sustainable infrastructure:

  • ๐Ÿ› (Ancient) Bridge & Building Health Monitoring โ€“ Studying structural integrity & durability
  • ๐ŸŒฑ Sustainable Infrastructure โ€“ Coupling optimization for large-scale structures
  • ๐Ÿš„ High-Speed Railway Track Optimization โ€“ Preventing track diseases & enhancing efficiency
  • ๐Ÿ— Indeterminate Structural Design โ€“ Improving extra-large bridge sustainability
  • ๐Ÿ”ฌ Engineering Project Management โ€“ Enhancing efficiency in large-scale construction

his work integrates modern monitoring techniques ๐Ÿ“ก, advanced materials ๐Ÿ—, and sustainable engineering ๐ŸŒฑ to enhance long-term infrastructure performance.

Awards & Honors ๐Ÿ†๐ŸŽ–

  • ๐Ÿ… UPV Outstanding Doctorate Award โ€“ Polytechnic University of Valencia, Spain
  • ๐Ÿ† 2023 Spanish Outstanding Doctoral Award โ€“ Top honor for doctoral research
  • ๐Ÿ— National Engineering Construction Quality Management Award (First Class)
  • ๐Ÿ† First-Class Science & Technology Award โ€“ China Railway Construction Corporation
  • ๐Ÿ… Provincial & Ministerial-Level Awards โ€“ Henan Province (Two awards)
  • ๐Ÿ† China Civil Engineering Society “National Second Prize”
  • ๐ŸŽ– Reviewer for 20 SCI Journals โ€“ Reviewed 148+ articles

Publication Top Notes

  1. Research on spatial deformation monitoring and numerical coupling of deep foundation pit in soft soil

    • Journal of Building Engineering, 2025.
    • DOI: 10.1016/j.jobe.2024.111636
    • Citation (APA):
      Author(s). (2025). Research on spatial deformation monitoring and numerical coupling of deep foundation pit in soft soil. Journal of Building Engineering, XX, 111636.

  2. Three-dimensional finite element-coupled optimisation assessment of extra-large bridges

    • Structures, 2024.
    • DOI: 10.1016/j.istruc.2024.107743
    • Citation (APA):
      Author(s). (2024). Three-dimensional finite element-coupled optimisation assessment of extra-large bridges. Structures, XX, 107743.

  3. Research on coupling optimization of carbon emissions and carbon leakage in international construction projects

    • Scientific Reports, 2024.
    • DOI: 10.1038/s41598-024-59531-4
    • Citation (APA):
      Zhou, Z. (2024). Research on coupling optimization of carbon emissions and carbon leakage in international construction projects. Scientific Reports, XX, 59531. Building the future: Smart concrete as a key element in next-generation construction
    • Construction and Building Materials, 2024.
    • DOI: 10.1016/j.conbuildmat.2024.136364
    • Citation (APA):
      Zhou, Z. (2024). Building the future: Smart concrete as a key element in next-generation construction. Construction and Building Materials, XX, 136364.

  4. The centennial sustainable assessment of regional construction industry under the multidisciplinary coupling model

    • Sustainable Cities and Society, 2024.
    • DOI: 10.1016/j.scs.2024.105201
    • Citation (APA):
      Author(s). (2024). The centennial sustainable assessment of regional construction industry under the multidisciplinary coupling model. Sustainable Cities and Society, XX, 105201.

Thi Hong Nhung Vu | Engineering | Best Researcher Award

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Dr. Thi Hong Nhung Vu | Engineering | Best Researcher Awardย 

Dr. Thi Hong Nhung V,ย  Vietnam National University of Forestry at Dong Nai, Vietnam

Dr. thi hong nhung v is a dedicated researcher and educator with nearly two decades of experience in teaching and research. Her studies have spanned multiple disciplines, focusing on the development of nanofibrous materials and composite biomaterials for medical and ecological applications. Her contributions include enhancing the fabrication and efficiency of PVA and PVA-chitosan nanofibers, with practical applications in drug delivery systems. An active participant in the academic community, she has attended numerous international conferences and has a strong publication record in high-impact journals. Dr. thi hong nhung v continues to innovate in the fields of nano biomaterials and bioengineering, driving advancements in both academia and applied sciences.

PROFILE

Orcidย  Profile

Educational Detail

Dr. thi hong nhung v holds advanced degrees in fields related to biopolymers, nanomaterials, and bioengineering. She pursued her studies both in Vietnam and the Russian Federation. In Vietnam, she specialized in natural component extraction, while in the Russian Federation, her focus shifted to the development of nanofibrous materials for drug integration. Her education was complemented by projects involving artificial intelligence, optotechnics, bioengineering, and composite biomaterials.

Professional Experience

Dr. thi hong nhung v has 19 years of experience as a secondary school teacher and university lecturer in Vietnam. She has participated in and contributed to three significant research projects:

Artificial intelligence methods for cyber-physical systems.

Development of methods and tools for applied problems in optotechnics and bioengineering.

Composite biomaterials and technologies for ecophotonics and medicine.

Over the past five years, she has attended 12 international scientific conferences and published nine research articles in reputable journals indexed in SCI and Scopus. She has also contributed to book publications, with one carrying the ISBN 978-3-031-26907-3.

Research Interests

Dr. thi hong nhung v’s research interests include:

Biopolymers and polymers

Nano biomaterials and electrospinning

Nano biochemistry and nanomaterials

Her work focuses on developing and improving PVA and PVA-chitosan nanofibers, emphasizing solution composition, technological parameters, and the use of multicomponent solvent systems to enhance material properties and drug incorporation efficiency.

Top Notable Publications

thi hong nhung v, Study on Fabrication and Properties of Polyvinyl Alcohol/Chitosan Nanofibers Created from Aqueous Solution with Acetic Acid and Ethanol by the Electrospinning Method. Polymers, 2024, 16(23), 3393. DOI: 10.3390/polym16233393.

thi hong nhung v, Study on Fabrication and Properties of Polyvinyl Alcoholโ€”Chitosan Nanofibers from Aqueous Solution with Acetic Acid and Ethanol by Electrospinning Method. Preprint, 2024. DOI: 10.20944/preprints202410.0296.v1.

thi hong nhung v, The Influence of Acetic Acid and Ethanol on the Fabrication and Properties of Poly(Vinyl Alcohol) Nanofibers Produced by Electrospinning. Polymer Bulletin, 2024, 81, 768-780. DOI: 10.1007/s00289-024-05168-2.

thi hong nhung v, A Systematic Investigation of Solution and Technological Parameters for the Fabrication and Characterization of Poly(Vinyl Alcoholโ€“Chitosan) Electrospun Nanofibers. Polymers for Advanced Technologies, 2024, 35(5), 6423. DOI: 10.1002/pat.6423.

thi hong nhung v, Tafamidis Drug Delivery Systems Based on Chitosan/Polyvinyl Alcohol Matrix. ASEC 2023 Conference Proceedings, 2023. DOI: 10.3390/ASEC2023-15905.

thi hong nhung v, Fabrication of Polyvinyl Alcohol Nanofibers for the Delivery of Biologically Active Molecules. 2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), 2022, pp. 117-123. DOI: 10.1109/iecbes54088.2022.10079434.

thi hong nhung v, Investigation of the Fabrication of Nanofibers from Aqueous Polyvinyl Alcohol Solutions by Electrospinning. Proceedings of the Voronezh State University of Engineering Technologies, 2022, 2, 210-220. DOI: 10.20914/2310-1202-2022-2-210-220.

Conclusionย 

Based on her academic achievements, impactful research contributions, and interdisciplinary approach, Dr. Thi Hong Nhung V is an exemplary candidate for the Research for Best Researcher Award. Her work has significantly advanced the fields of nanotechnology and biomaterials, contributing to both scientific progress and practical applications in medicine and engineering.