Prof. Dr. Jian Chen | Engineering | Best Researcher Award

Prof. Dr. Jian Chen | Engineering | Best Researcher Award

Associate Researcher at Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, China

Dr. Jian Chen ๐ŸŽ“, an accomplished Associate Research Fellow at the Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences ๐Ÿ›๏ธ, brings over 20 years of rigorous academic and professional experience. With a steadfast foundation in Communication Engineering and a doctorate in Mechanical and Electrical Engineering, Dr. Chen has contributed extensively to the scientific community ๐Ÿ“š. His scholarly portfolio includes 39 academic articles, 3 granted patents ๐Ÿง ๐Ÿ”ง, and active participation as an editorial board member and reviewer for 25 prominent journals, including SCI and EI indexed publications ๐ŸŒ. His consistent commitment to research, innovation, and peer-review excellence marks him as a dedicated scholar in the field of optics and fine mechanics. His career trajectory is a testimony to persistence, insight, and global scientific collaboration ๐ŸŒŸ.

Professional Profileย 

ORCID Profile

๐ŸŽ“ Education

Dr. Jian Chen’s academic journey ๐ŸŒฑ began at Jilin University, where he pursued both his Bachelor’s (2001โ€“2005) and Master’s (2005โ€“2007) degrees in Communication Engineering ๐Ÿ›ฐ๏ธ. Driven by a passion for applied science, he later obtained his Doctorate in Mechanical and Electrical Engineering from the University of Chinese Academy of Sciences (2011โ€“2014) โš™๏ธ. His studies reflect a rare combination of precision communication systems and multi-disciplinary engineering expertise ๐Ÿง . This robust academic progression laid the intellectual groundwork for his future research in optics, electromechanics, and fine instrumentation. The strong theoretical foundations combined with practical insight enabled him to tackle cutting-edge challenges in optics and engineering technologies with a holistic mindset ๐Ÿ“˜๐Ÿ”ฌ.

๐Ÿง‘โ€๐Ÿ”ฌ Professional Experience

Since 2007, Jian Chen has served as an Associate Research Fellow at the prestigious Changchun Institute of Optics, Fine Mechanics and Physics, CAS ๐Ÿข. Over 14 years, he has cultivated deep expertise in electromechanical systems, optical instrumentation, and advanced mechanics ๐Ÿ’ก. His work is not just academic; it holds tangible value, evidenced by his 3 granted patents ๐Ÿ”๐Ÿ“‘. Dr. Chen also stands out as a peer-review gatekeeperโ€”serving on the editorial boards of 25 respected journals, including those indexed by SCI and EI ๐Ÿงพ๐Ÿ“–. His research environment fosters both independent innovation and collaborative exploration, positioning him as a central contributor to Chinaโ€™s optics and precision mechanics research domain ๐Ÿ”ง๐ŸŒ.

๐Ÿ”ฌ Research Interest

Jian Chenโ€™s research interests orbit around the convergence of optics, mechanical design, and electrical systems ๐Ÿ”ญโš™๏ธ. His studies delve into fine optical mechanics, signal processing, and advanced instrumentation, where accuracy meets innovation ๐Ÿ’ก๐Ÿ”ง. He has a keen focus on integrating communication systems with mechanical-electrical interfaces, aiming to improve efficiency, precision, and reliability across applied research platforms ๐Ÿ“ก๐Ÿ”. Through over 39 academic publications and patent filings, he continually addresses real-world problems with scientifically grounded solutions. His passion lies in turning theoretical concepts into functional technologies, especially those impacting optics and information transfer systems ๐Ÿš€. Dr. Chen’s vision includes pushing boundaries in smart optical devices and advancing China’s high-tech research infrastructure ๐Ÿ“ˆ.

๐Ÿ† Award and Honor

With a track record of consistent scholarly output, Jian Chen has earned high regard in his field ๐ŸŒŸ. His appointment as an Editorial Board Member and reviewer for 25 journals, including SCI and EI indexed ones ๐Ÿ…๐Ÿ“˜, speaks volumes about his recognition in the global academic community. This role is both prestigious and demanding, requiring sharp insight, peer leadership, and deep subject-matter expertise ๐Ÿง โœ’๏ธ. The successful granting of 3 patents in his field further confirms his inventive spirit and commitment to practical innovation. While specific awards are not listed, the honors bestowed upon him through editorial responsibilities, patents, and research publications reflect a career shaped by excellence, discipline, and global relevance ๐Ÿงฌ๐Ÿ•Š๏ธ.

Publications Top Notes

1. Multihop Anchor-Free Network With Tolerance-Adjustable Measure for Infrared Tiny Target Detection

This paper introduces a multihop anchor-free network designed to detect tiny infrared targets in complex backgrounds. The proposed method employs a tolerance-adjustable measure to enhance detection accuracy without relying on predefined anchor points. This approach improves the detection of small targets that are easily obscured by background noise.


2. A Novel Equivalent Combined Control Architecture for Electro-Optical Equipment: Performance and Robustness

This study proposes a novel equivalent composite control structure for electro-optical equipment. The architecture aims to balance tracking performance and robustness by adjusting the time coefficient of the compensation loop. The paper analyzes the impact of this adjustment on system dynamics, providing insights into optimizing performance without compromising stability.


3. CA-U2-Net: Contour Detection and Attention in U2-Net for Infrared Dim and Small Target Detection

This paper presents CA-U2-Net, an enhanced version of U2-Net tailored for detecting infrared dim and small targets. By integrating contour detection and attention mechanisms, the model achieves a detection rate of 97.17%, maintaining accurate target shapes even in challenging conditions.


4. A POCS Super Resolution Restoration Algorithm Based on BM3D

This research combines the Projection Onto Convex Sets (POCS) method with BM3D filtering to enhance super-resolution image restoration. The approach addresses the noise sensitivity of traditional POCS by incorporating BM3D’s denoising capabilities, resulting in improved restoration quality for low-resolution images affected by various noise types.

๐Ÿงพ Conclusion

Dr. Jian Chenโ€™s career is a synthesis of academic strength, research innovation, and peer leadership ๐Ÿ“š๐ŸŒŸ. From earning degrees in communication and electromechanical engineering to publishing influential papers and contributing patented solutions, his journey underscores a rare dedication to the advancement of science and technology ๐ŸŒ. His service as a reviewer and editor across 25 journals illustrates not only his expertise but also the respect he commands among peers. Jian Chen exemplifies what it means to be a scholar-practitionerโ€”someone who not only explores ideas but also brings them to life ๐Ÿ”ฌ๐Ÿ’ก. With two decades of impact in optics and mechanical systems, his legacy is both intellectual and tangible, influencing future researchers and technologies across the globe ๐ŸŒ๐Ÿ“ˆ.

Morteza Khorami | Engineering | Best Researcher Award

Assoc. Prof. Dr. Morteza Khorami | Engineering | Best Researcher Award

Associate Professor at Coventry University, United Kingdom

Morteza Khorami ๐ŸŽ“ is a distinguished civil engineer and academic at Coventry University, specializing in structural engineering, sustainable construction materials, and reinforced concrete. With over 20 years of experience ๐Ÿ—๏ธ, he has led research projects on innovative cement composites and green building materials. As a Chartered Engineer (CEng) and Senior Fellow of the Higher Education Academy (SFHEA) ๐ŸŽ–๏ธ, he has contributed significantly to academia through teaching, mentoring, and publishing in high-impact journals. His expertise in project management and material innovation makes him a key figure in sustainable infrastructure development. ๐ŸŒ๐Ÿข

Professional Profile:

Orcid

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Education & Experience

๐Ÿ“š Education:

๐Ÿ’ผ Experience:

  • Professor at Coventry University (2015 โ€“ Present) ๐Ÿ“–๐Ÿ—๏ธ

    • Conducts lectures and supervises research in structural engineering and construction materials.

    • Leads research on innovative materials for sustainable construction.

    • Publishes in high-impact journals and presents at international conferences.

    • Mentors postgraduate students in thesis development and engineering methodologies.

Professional Development

Morteza Khorami is a leading researcher in sustainable construction materials ๐Ÿ—๏ธ๐ŸŒฑ, focusing on reinforced concrete, cement composites, and eco-friendly building technologies. As a Chartered Engineer (CEng) ๐ŸŽ–๏ธ and Senior Fellow of the Higher Education Academy (SFHEA) ๐Ÿ…, he actively promotes innovation in civil engineering. He collaborates with global researchers to advance construction methodologies ๐ŸŒ and enhance material durability. His passion for teaching and mentorship ๐Ÿ‘จโ€๐Ÿซ has influenced many students in academia and industry. With extensive project management expertise ๐Ÿ“Š, he integrates cutting-edge research into practical engineering solutions for sustainable infrastructure. ๐Ÿข๐Ÿ”ฌ

Research Focus

Morteza Khoramiโ€™s research focuses on sustainable and innovative materials in civil engineering ๐Ÿ—๏ธ๐ŸŒฟ. His studies explore reinforced concrete durability, cement composites, and eco-friendly alternatives such as waste-based construction materials. He has conducted extensive research on fiber-reinforced cement boards, geopolymer mortars, and corrosion-resistant structures ๐Ÿ”ฌโš™๏ธ. His work contributes to reducing carbon footprints in construction by utilizing materials like scrap tires, bagasse fibers, and nano silica fume ๐ŸŒŽโ™ป๏ธ. Through his research, he aims to improve structural resilience and sustainability, making a lasting impact on the construction industry. ๐Ÿ›๏ธ๐Ÿ”

Awards & Honors

๐Ÿ… Chartered Engineer (CEng) โ€“ Recognized for professional excellence in engineering.
๐ŸŽ–๏ธ Senior Fellow of the Higher Education Academy (SFHEA) โ€“ Prestigious recognition in academia.
๐Ÿ† Published over 18 high-impact research papers in leading international journals.
๐Ÿ“š Authored multiple books and book chapters on structural engineering and materials science.
๐ŸŒ Presented research at international conferences, influencing global construction methodologies.

Publication Top Notes

  1. Effect of Low-Grade Calcined Clay on the Durability Performance of Blended Cement Mortar

    • Journal: Buildings

    • Publication Date: April 2, 2025

    • DOI: 10.3390/buildings15071159

    • Summary: This study investigates how incorporating low-grade calcined clay influences the durability of blended cement mortar. The research focuses on properties such as compressive strength, porosity, and resistance to chloride penetration.โ€‹

  2. Performance of Calcined Impure Kaolinitic Clay as a Partial Substitute for Portland Cement Concrete: A Review

    • Journal: Journal of Composites Science

    • Publication Date: March 21, 2025

    • DOI: 10.3390/jcs9040145

    • Summary: This review examines the viability of using calcined impure kaolinitic clay as a partial replacement for Portland cement. It evaluates the material’s impact on mechanical properties, durability, and environmental benefits.โ€‹

  3. Behaviour of Reinforced Concrete Beams Subjected to Corrosion Damage Under Cyclic Loading

    • Journal: Proceedings of the Institution of Civil Engineers – Structures and Buildings

    • Publication Date: March 7, 2025

    • DOI: 10.1680/jstbu.24.00104

    • Summary: This paper explores how corrosion damage affects the performance of reinforced concrete beams under cyclic loading conditions, focusing on changes in load-bearing capacity and structural integrity.โ€‹

  4. Development of Fiber Cement Boards Using Recycled Jute Fibers for Building Applications

    • Journal: Journal of Materials in Civil Engineering

    • Publication Date: January 2025

    • DOI: 10.1061/JMCEE7.MTENG-18084

    • Summary: This research focuses on creating fiber cement boards incorporating recycled jute fibers, assessing their mechanical properties, durability, and potential for sustainable building applications.โ€‹

  5. Assessment of the Mechanical and Microstructural Performance of Waste Kraft Fibre Reinforced Cement Composite Incorporating Sustainable Eco-Friendly Additives

    • Journal: Buildings

    • Publication Date: August 30, 2024

    • DOI: 10.3390/buildings14092725

    • Summary: This study evaluates the mechanical and microstructural properties of cement composites reinforced with waste kraft fibers and sustainable additives, aiming to enhance performance while promoting eco-friendly construction materials.

Conclusion

Dr. Morteza Khorami’s outstanding contributions to structural engineering, sustainable materials research, and academic leadership make him a highly deserving candidate for the Best Researcher Award. His work has not only advanced scientific knowledge but has also had practical applications in the construction industry, promoting sustainability and innovation.

Sahar Ghatrehsamani | Engineering | Best Scholar Award

Dr. Sahar Ghatrehsamani | Engineering | Best Scholar Award

Postdoctoral at Isfahan University of Technology, Iran

Dr. Sahar Ghatrehsamani is a passionate mechanical engineer specializing in tribology, with a strong background in machine learning and surface engineering. She earned her Ph.D. in Mechanical Engineering from Isfahan University of Technology (IUT), Iran (2022) and is currently a postdoctoral researcher at IUT, applying AI techniques to predict the tribological behavior of agricultural machinery. With expertise in CAD, FEA, and statistical analysis, she has contributed significantly to teaching, research, and mentoring students. Her work intersects materials science, additive manufacturing, and precision agriculture, making her a versatile and innovative researcher. ๐ŸŒ๐Ÿ”ฌ

Professional Profile:

Scopus

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Education & Experience

๐Ÿ“š Education:

  • ๐ŸŽ“ Ph.D. in Mechanical Engineering (Tribology) โ€“ Isfahan University of Technology, Iran (2017-2022)

  • ๐ŸŽ“ M.Sc. in Mechanical Engineering (Tribology) โ€“ Isfahan University of Technology, Iran (2015-2017)

  • ๐ŸŽ“ B.Sc. in Mechanical Engineering (Biosystem) โ€“ Shahrekord University, Iran (2009-2013)

๐Ÿ”ฌ Experience:

  • ๐Ÿ” Postdoctoral Researcher โ€“ Isfahan University of Technology, Iran (2024-Present)

  • ๐Ÿ‘ฉโ€๐Ÿซ Teaching Experience โ€“ Multiple undergraduate courses in mechanical engineering at IUT (2018-Present)

  • ๐Ÿค Co-Advisor โ€“ 2 Master’s & 6 Bachelor’s students

Professional Development

Dr. Sahar Ghatrehsamani is dedicated to research, teaching, and innovation in mechanical engineering, particularly in tribology, surface engineering, and AI-driven modeling. She has actively mentored students, guided research projects, and developed expertise in CAD, numerical simulation, and data analysis. Her teaching career at Isfahan University of Technology spans multiple engineering courses, and she has consistently ranked highly in teaching evaluations. Passionate about bridging the gap between mechanical engineering and materials science, she explores new technologies in additive manufacturing and precision agriculture to enhance sustainability and performance. ๐Ÿšœ๐Ÿ› ๏ธ

Research Focus

Dr. Sahar Ghatrehsamani’s research spans multiple engineering domains, focusing on:

  • ๐ŸŽ๏ธ Tribology โ€“ Studying friction, wear, and lubrication for various applications

  • ๐Ÿญ Surface Engineering โ€“ Enhancing material properties for durability and efficiency

  • ๐Ÿค– Machine Learning & AI โ€“ Applying predictive modeling in tribological behavior and material design

  • ๐Ÿ— Mechanical Behavior of Materials โ€“ Understanding stress, strain, and failure mechanics

  • ๐Ÿšœ Precision Agriculture โ€“ Developing efficient and smart agricultural machinery

  • ๐Ÿ–จ๏ธ Additive Manufacturing โ€“ Investigating 3D printing & advanced manufacturing

  • ๐Ÿ“Š Data Analysis & Numerical Modeling โ€“ Integrating simulation techniques for engineering solutions

Awards & Honors

Teaching Excellence:

  • ๐ŸŽ–๏ธ Ranked 1st in Mechanical Engineering Group (2021)

  • ๐Ÿ… Ranked 2nd in College of Engineering (2021)

  • ๐Ÿ† Ranked 13th among 569 faculty members at IUT (2021)

Research Contributions:

  • ๐Ÿ“œ Published multiple high-impact research papers in tribology and AI modeling

  • ๐ŸŒ Contributed to international collaborations in mechanical engineering research

๐Ÿš€ Her dedication to education, research, and innovation has established her as a rising expert in tribology and machine learning!

Publication Top Notes

  1. On the running-in nature of metallic tribo-components: A review

    • Authors: M.M. Khonsari, S. Ghatrehsamani, S. Akbarzadeh

    • Journal: Wear (Vol. 474, 2021)

    • Citations: 113

    • Summary: A comprehensive review of the running-in phase in metallic tribo-systems, examining the changes in friction, wear, and surface topography over time.

  2. Experimentally verified prediction of friction coefficient and wear rate during running-in dry contact

    • Authors: S. Ghatrehsamani, S. Akbarzadeh, M.M. Khonsari

    • Journal: Tribology International (Vol. 170, 2022)

    • Citations: 41

    • Summary: Experimental validation of predictive models for friction and wear rate during the running-in phase under dry contact conditions.

  3. Experimental and numerical study of the running-in wear coefficient during dry sliding contact

    • Authors: S. Ghatrehsamani, S. Akbarzadeh, M.M. Khonsari

    • Journal: Surface Topography: Metrology and Properties (Vol. 9, Issue 1, 2021)

    • Citations: 25

    • Summary: Investigates the wear coefficient during dry sliding contact using both experimental methods and numerical simulations.

  4. Predicting the wear coefficient and friction coefficient in dry point contact using continuum damage mechanics

    • Authors: S. Ghatrehsamani, S. Akbarzadeh

    • Journal: Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology (2019)

    • Citations: 23

    • Summary: Develops a predictive framework for wear and friction coefficients in dry point contact using continuum damage mechanics.

  5. Application of continuum damage mechanics to predict wear in systems subjected to variable loading

    • Authors: S. Ghatrehsamani, S. Akbarzadeh, M.M. Khonsari

    • Journal: Tribology Letters (Vol. 69, 2021)

    • Citations: 15

    • Summary: Extends continuum damage mechanics principles to predict wear in tribological systems under varying load conditions.

Conclusion

Sahar Ghatrehsamani is a strong candidate for the Best Scholar Award. Her contributions to tribology, AI-driven material predictions, and mechanical behavior research are significant. She excels in both academic and applied research, making notable interdisciplinary advancements. Given her teaching excellence, mentorship, and research output, she is highly deserving of recognition as a leading researcher in her field.

Shirko Faroughi | Engineering | Best Researcher Award

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

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

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

Orcid

Scopus

Google Scholar

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.

Shakil Ahmed | Engineering | Best Researcher Award

Prof. Shakil Ahmed | Engineering | Best Researcher Award

Assistant Processor, Term at Iowa State University, United States

Shakil Ahmed is an Assistant Teaching Professor in Computer Engineering at Iowa State University (ISU), specializing in AI/ML, cybersecurity, IoT, cloud computing, and advanced networking. With a Ph.D. in Computer Engineering from ISU (2023) and over 2,000 citations across 35+ publications, he leads cutting-edge research on AI-driven solutions, digital twins, and quantum networks. As a principal investigator (PI), he mentors undergraduate, MS, and Ph.D. students while actively securing external grants. His expertise spans reinforcement learning, large language models, explainable AI, and meta-learning, contributing to pioneering advancements in next-gen networking and intelligent systems. ๐Ÿš€๐Ÿ”

Professional Profile

Education & Experience ๐Ÿ“š๐Ÿ‘จโ€๐Ÿซ

  • Ph.D. in Computer Engineering โ€“ Iowa State University (2023) ๐ŸŽ“
  • M.S. in Electrical Engineering โ€“ Utah State University (2019) โšก
  • B.S. in Electrical and Electronic Engineering โ€“ Khulna University of Engineering & Technology, Bangladesh (2014) ๐Ÿ…
  • Assistant Teaching Professor โ€“ Iowa State University (2024โ€“Present) ๐ŸŽ“
  • Researcher & PI โ€“ Leading projects on AI, 6G, cybersecurity, IoT, and digital twins ๐Ÿ”ฌ
  • Advisor & Mentor โ€“ Supervising undergraduate, MS, and Ph.D. students in advanced networking and AI ๐Ÿง‘โ€๐ŸŽ“

Professional Development ๐Ÿ“ˆ๐Ÿง 

Shakil Ahmed actively contributes to AI-driven networking, secure systems, and IoT advancements. He plays a vital role in research funding, securing grants exceeding millions of dollars. As a guest editor at MDPI and reviewer for 150+ articles, he ensures high research standards. His teaching experience spans multiple STEM courses, where he integrates hands-on learning tools like Zybooks and Canvas. He has delivered invited talks on next-gen wireless technologies and collaborates with multidisciplinary teams to shape the future of AI, cloud computing, and quantum networking. His work has significantly impacted academia, research, and industry. ๐Ÿš€๐Ÿ”ฌ๐Ÿ“ก

Research Focus ๐Ÿ†๐Ÿ”

Shakil Ahmedโ€™s research is at the intersection of AI, networking, and cybersecurity, with a focus on:

  • AI/ML & Deep Learning โ€“ Reinforcement Learning (RL), Large Language Models (LLM), Explainable AI (XAI) ๐Ÿค–
  • Cybersecurity & Quantum Networking โ€“ Secure network protocols, quantum neural networks (QNN) ๐Ÿ”’
  • IoT & Cloud Computing โ€“ System design for connected environments, mobile edge computing โ˜๏ธ
  • Digital Twin & 6G+ Networks โ€“ AI-driven tactile internet, smart infrastructure, and futuristic networking ๐ŸŒ๐Ÿ“ก
    His work integrates cutting-edge AI techniques, optimization frameworks, and network simulations to solve real-world challenges.

Awards & Honors ๐Ÿ…๐ŸŽ–๏ธ

  • Professional Development Fund โ€“ Iowa State University ($10,000) ๐Ÿ’ฐ
  • Presidential Fellowship โ€“ Utah State University ($90,000) ๐Ÿ†
  • Best Paper Award โ€“ IEEE International Conference on Informatics, Electronics, and Vision (2016) ๐Ÿฅ‡
  • Graduate & Professional Student Senate Research Award โ€“ ISU ($700) ๐Ÿ“œ
  • ECpE Department Support Grant โ€“ ISU ($600) ๐ŸŽ“
  • Professional Advancement Grant (PAG) โ€“ ISU ($400) ๐ŸŽ–๏ธ
  • Military Communications Conference Student Travel Grants โ€“ 2021 & 2022 ($1,000) โœˆ๏ธ
  • Graduate & Professional Student Council Grant โ€“ ISU ($750) ๐Ÿ…
  • ECE Department Support Grant โ€“ Utah State University ($1,000) ๐Ÿ†

Publication Top Notes

  1. 6G Wireless Communication Systems: Applications, Requirements, Technologies, Challenges, and Research Directions

    • Authors: Mostafa Zaman Chowdhury, Md. Shahjalal, Shakil Ahmed, Yeong Min Jang
    • Journal: IEEE Open Journal of the Communications Society
    • Year: 2020
    • Citation: Chowdhury, M. Z., Shahjalal, M., Ahmed, S., & Jang, Y. M. (2020). 6G Wireless Communication Systems: Applications, Requirements, Technologies, Challenges, and Research Directions. IEEE Open Journal of the Communications Society, 1, 957โ€“975.
  2. Energy-Efficient UAV-to-User Scheduling to Maximize Throughput in Wireless Networks

    • Authors: Shakil Ahmed, Mostafa Zaman Chowdhury, Yeong Min Jang
    • Journal: IEEE Access
    • Year: 2020
    • Citation: Ahmed, S., Chowdhury, M. Z., & Jang, Y. M. (2020). Energy-Efficient UAV-to-User Scheduling to Maximize Throughput in Wireless Networks. IEEE Access, 8, 21215โ€“21225.
  3. Energy-Efficient UAV Relaying Communications to Serve Ground Nodes

    • Authors: Shakil Ahmed, Mostafa Zaman Chowdhury, Yeong Min Jang
    • Journal: IEEE Communications Letters
    • Year: 2020
    • Citation: Ahmed, S., Chowdhury, M. Z., & Jang, Y. M. (2020). Energy-Efficient UAV Relaying Communications to Serve Ground Nodes. IEEE Communications Letters, 24(4), 849โ€“852.
  4. Non-Orthogonal Multiple Access in a mmWave Based IoT Wireless System with SWIPT

    • Authors: Hao Sun, Qiang Wang, Shakil Ahmed, Rose Hu
    • Conference: IEEE Vehicular Technology Conference (VTC Spring)
    • Year: 2017
    • Citation: Sun, H., Wang, Q., Ahmed, S., & Hu, R. (2017). Non-Orthogonal Multiple Access in a mmWave Based IoT Wireless System with SWIPT. In 2017 IEEE 85th Vehicular Technology Conference (VTC Spring) (pp. 1โ€“5).
  5. A Disaster Response Framework Based on IoT and D2D Communication Under 5G Network Technology

    • Authors: Shakil Ahmed, Md Rashid, Farzana Alam, B. Fakhruddin
    • Conference: 2019 29th International Telecommunication Networks and Applications Conference (ITNAC)
    • Year: 2019
    • Citation: Ahmed, S., Rashid, M., Alam, F., & Fakhruddin, B. (2019). A Disaster Response Framework Based on IoT and D2D Communication Under 5G Network Technology. In 2019 29th International Telecommunication Networks and Applications Conference (ITNAC) (pp. 20โ€“25).

 

Shengnan Zhang | Engineering | Best Researcher Award

Dr. Shengnan Zhang | Engineering | Best Researcher Award

Noneย  at School of Mechatronic Engineering and Automation, Shanghai University

Short Bio

  • shengnan zhang is a Ph.D. researcher at Shanghai University specializing in electromagnetic flowmeters, signal processing, and mathematical modeling for industrial processes. With experience in engineering and automation, she integrates theoretical and applied research to enhance industrial measurement accuracy and efficiency.

Professional Profile

Educational Background

  • shengnan zhang is currently pursuing a Ph.D. in the School of Mechatronic Engineering and Automation at Shanghai University (2021โ€“2024). She earned her masterโ€™s degree in Control Science and Engineering (Automation) from Inner Mongolia University of Science and Technology in 2020.

Professional Experience

  • shengnan zhang has gained diverse experience in both industry and academia. She worked as a junior engineer in the Mechanical and Electrical Department at State Grid Xinyuan Chifeng Company, Inner Mongolia (2020โ€“2021). She later transitioned into roles as a Hardware R&D Engineer at JiDan Biotechnology Co., Ltd. and a High School Mathematics Teacher at Nanjing Yunjushi Education Co., Ltd. in 2021.

Research Interests

    • Her research focuses on electromagnetic flowmeters, signal processing, and mathematical modeling of complex industrial processes. She is particularly interested in developing advanced computational techniques for industrial automation and measurement systems.

Author Metrics

  • Currently, shengnan zhang is actively engaged in research and has contributed to scholarly publications in her field. Her work includes studies on signal processing applications in industrial automation and measurement technologies.

Publication Top Noted

  • Study on the Match-Filtering Ability of the Electromagnetic Flowmeter Signals Based on the Generalized Dual-Frequency Walsh Transform
    Flow Measurement and Instrumentation, March 2025
    DOI: 10.1016/j.flowmeasinst.2024.102767
  • Generalized Walsh Transform Sequency-Domain-Based Match Filtering for Electromagnetic Flowmeter Signal Measurement
    IEEE Sensors Journal, April 2024
    DOI: 10.1109/JSEN.2024.3366238
  • A Sequency Match Filtering Algorithm Based on the Generalized Walsh Transform for Processing Rectangular Wave Signals
    Review of Scientific Instruments, February 2024
    DOI: 10.1063/5.0175079
  • Study on Match Filtering Based on Sequency Spectrum Characteristics of the Walsh Transform for Electromagnetic Flowmeter Signal Measurement
    Measurement, February 2024
    DOI: 10.1016/j.measurement.2023.114021

Conclusion

  • Dr. shengnan zhang is a highly qualified researcher with notable contributions to signal processing and industrial measurement systems. Her innovative approaches using Generalized Walsh Transform have the potential to improve electromagnetic flowmeter accuracy significantly. With further collaboration, higher citation impact, and real-world application of her research, she would be an excellent candidate for the Best Researcher Award.