Jiyang Yi | Engineering | Best Researcher Award

Published on | Editorial Board by World Top Scientists

Best Researcher Award

Jiyang Yi
Affiliation Nanjing Forestry University
Country China
Scopus ID 58249403100
Documents 27
Citations 308
h-index 11
Subject Area Engineering
Event World Top Scientist Awards
ORCID 0009-0006-2838-7739

Jiyang Yi – Nanjing Forestry University

Jiyang Yi is a researcher at Nanjing Forestry University, China, specializing in structural engineering, construction materials, composite structures, and computational engineering. His research includes reinforced concrete, concrete-filled steel tubes, bamboo composites, structural strengthening, and machine-learning-based engineering prediction.

Abstract

Jiyang Yi’s documented research profile represents a multidisciplinary engineering portfolio combining experimental investigation, structural modelling, advanced materials, and machine-learning methods. His published research addresses structural capacity, mechanical behaviour, composite members, bamboo-based construction materials, and computational prediction. These themes position his work within contemporary structural and construction engineering research.[2]

Keywords

Structural Engineering; Bamboo Composites; Concrete-Filled Steel Tubes; Reinforced Concrete; Composite Structures; Structural Materials; Machine Learning; Structural Capacity; Sustainable Construction; Engineering Modelling.

Introduction

Modern structural engineering increasingly integrates laboratory experiments, numerical simulation, sustainable materials, and data-driven prediction. Yi’s documented publications reflect this development through research on structural members and materials together with computational techniques. The research record includes studies published in established engineering journals and covers both conventional and emerging structural systems. Examples include bamboo scrimber members, concrete-filled steel tubes, reinforced concrete columns, composite beams, structural connectors, and machine-learning prediction models. [1] [2]

Research Profile

The supplied ORCID information identifies Jiyang Yi as affiliated with Nanjing Forestry University in Nanjing, Jiangsu, China. His recent publications demonstrate continuing activity in structural performance assessment and computational modelling. Topics include axial compression, flexural behaviour, structural strengthening, connector mechanics, bamboo materials, and interpretable machine-learning approaches for predicting structural capacity. [3] [4]

Research Contributions

One important research theme is the engineering evaluation of bamboo and bamboo scrimber. The documented publications examine thermal modification, axial compression, flexural properties, and bamboo-integrated structural systems. Such studies contribute experimental evidence and modelling approaches for understanding the mechanical performance of alternative construction materials. [4] [5]

Publications

Jiyang Yi’s research reflects a broad interest in structural engineering and advanced construction materials. His work combines experimental investigation, numerical analysis, and computational methods to examine structural performance and material behaviour. The research also considers innovative materials and data-driven approaches in engineering. These areas demonstrate an interdisciplinary approach to contemporary structural research. [2]

Research Impact

The supplied bibliometric information reports 27 documents, 308 citations, and an h-index of 11. These indicators provide quantitative measures of scholarly visibility and citation activity. They can be considered alongside publication quality, research originality, collaboration, and the relevance of individual contributions when evaluating a researcher’s overall academic profile. [1]

Award Suitability

The documented profile contains several measurable elements relevant to an academic recognition assessment, including an established university affiliation, a defined engineering subject area, a substantial publication record, citation activity, and an h-index. The breadth of topics across structural materials, composite systems, and computational engineering further provides a basis for scholarly evaluation.[5]

Conclusion

Jiyang Yi’s documented research activity demonstrates a continuing focus on structural engineering, construction materials, composite systems, and computational analysis. His publication record includes experimental, numerical, and machine-learning studies involving bamboo, concrete, steel, and hybrid structural systems. [3]

References

  1. Elsevier. (n.d.). Scopus author details: Jiyang Yi, Author ID 58249403100. Scopus.https://www.scopus.com/pages/authors/58249403100
  2. Zhao, Z., Wei, Y., Yi, J., Chen, J., Ding, Y., Huang, L., & Lin, Y. (2026). Unified prediction of monotonic axial compression capacity of square and circular UHPC-filled steel tube columns: A machine learning-based approach. Thin-Walled Structures.https://doi.org/10.1016/J.TWS.2026.115384
  3. Xie, X., Wei, Y., Yi, J., Zhang, Z., Chen, J., & Huang, S. (2026). Aging effects on compressive behavior, micromechanisms, and constitutive modeling of laminated bamboo. Construction and Building Materials.https://doi.org/10.1016/J.CONBUILDMAT.2026.147987
  4. Zhang, Z., Wei, Y., Wang, J., Yi, J., & Wang, G. (2024). Effect of thermal modification on axial compression properties and hardness of laminated bamboo. Construction and Building Materials.https://doi.org/10.1016/j.conbuildmat.2023.134747
  5. Zhang, Y., Ren, C., Yi, J., Wei, Y., Li, G., & Zhao, H. (2024). Axial compression performance of concrete-filled steel tubular columns with damaged BFRP jackets. Construction and Building Materials.https://doi.org/10.1016/j.conbuildmat.2024.137640

Mohammed Albadrani | Materials Buildings | Best Researcher Award

Published on | Editorial Board by World Top Scientists

Assoc. Prof. Dr. Mohammed Albadrani | Materials Buildings | Best Researcher Award

Vice Dean | Qassim University | Saudi Arabia

Assoc. Prof. Dr. Mohammed Albadrani is a distinguished academic and engineering professional whose expertise spans mechanical, civil, and materials science engineering. Serving in both academic leadership and research capacities, he has contributed significantly to curriculum development, faculty management, and strategic academic planning. His multidisciplinary background strengthens his ability to lead innovative projects that integrate advanced engineering principles with educational excellence. He has also been active in professional training and consultancy, bridging academia and industry through impactful initiatives. His research focuses on advancing materials science and engineering applications, addressing both academic and industrial challenges. Recognized for his contributions, Dr. Albadrani continues to pursue opportunities that enhance innovation, collaboration, and knowledge transfer. His dedication to quality assurance and academic growth highlights his commitment to advancing higher education standards. His measurable research impact, as recorded in Scopus, includes 89 citations by 84 documents, 13 documents, and an h-index of 5.

Profile: Scopus | Google Scholar | ORCID

Featured Publications

1. M. Alharbi, I. Kong, and V. I. Patel, “Simulation of uniaxial stress–strain response of 3D-printed polylactic acid by nonlinear finite element analysis,” Applied Adhesion Science, vol. 8, no. 1, p. 5, 2020.

2. W. Tong and M. Alharbi, “Comparative evaluation of non-associated quadratic and associated quartic plasticity models for orthotropic sheet metals,” International Journal of Solids and Structures, vol. 128, pp. 133–148, 2017.

3. A. I. Alateyah, M. Alharbi, H. A. El-Hafez, and W. H. El-Garaihy, “The effect of equal-channel angular pressing processing on microstructural evolution, hardness homogeneity, and mechanical properties of pure aluminum,” SAE International Journal of Materials and Manufacturing, vol. 14, no. 2, pp. 113–126, 2021.

4. M. A. Albadrani, “Failure prediction in 3D printed Kevlar/glass fiber-reinforced nylon structures with a hole and different fiber orientations,” Polymers, vol. 14, no. 20, p. 4464, 2022.

5. M. A. Albadrani, “Effects of raster angle on the elasticity of 3D-printed polylactic acid and polyethylene terephthalate glycol,” Designs, vol. 7, no. 5, p. 112, 2023.

Peng Gu | Engineering | Best Researcher Award

Published on | Editorial Board by World Top Scientists

Assoc. Prof. Dr. Peng Gu | Engineering | Best Researcher Award

associate professor at donghua university, China

Dr. Gu Peng is an accomplished researcher specializing in ultra-precision manufacturing and intelligent processing equipment. He is currently an Associate Professor at Donghua University, following his postdoctoral research at Shanghai Jiao Tong University under the mentorship of esteemed scholars. His work focuses on advanced machining technologies, contributing to national and international research projects. With multiple high-impact publications, patents, and awards, Dr. Gu has established himself as a leading expert in precision engineering. His contributions extend beyond academia through industry collaborations, making significant advancements in manufacturing automation. He actively serves as a reviewer for top SCI journals and is recognized as an expert in China’s leading technology committees. His academic excellence, combined with his research leadership and industrial impact, positions him as a key figure in the field of intelligent manufacturing and ultra-precision machining.

Professional Profile

Education

Dr. Gu Peng obtained his Bachelor’s degree in Mechanical Design, Manufacturing, and Automation from Hefei University of Technology in 2016, graduating ranked first in his class. He pursued a Master’s-Doctoral continuous program in Mechanical Engineering at Tongji University, where he demonstrated outstanding research potential and academic excellence. During his doctoral studies, he participated in an international training program at Politecnico di Torino, Italy, expanding his expertise in advanced manufacturing technologies. His dedication to research earned him multiple national scholarships and institutional awards, including the Outstanding Doctoral Student Award at Tongji University. His education laid a solid foundation for his expertise in precision engineering, manufacturing automation, and optical surface processing.

Professional Experience

Dr. Gu Peng began his professional career as a Postdoctoral Researcher at Shanghai Jiao Tong University (2022-2024), where he worked on ultra-precision machining under the guidance of renowned scholars. In 2024, he joined Donghua University as an Associate Professor, leading projects on intelligent manufacturing technologies. He has played a critical role in multiple national research projects, including the National Natural Science Foundation of China (NSFC) Youth Fund and key industrial research initiatives. In addition to his academic roles, he has been an expert consultant for major industrial projects, contributing to the development of advanced machining equipment for aerospace, optics, and semiconductor industries. His professional experience bridges cutting-edge research and practical industrial applications, ensuring his work has both theoretical and real-world impact.

Research Interests

Dr. Gu Peng’s research focuses on ultra-precision machining, intelligent manufacturing, and automation technologies. He specializes in high-precision grinding and polishing techniques for complex optical surfaces, including microstructure arrays and freeform surfaces. His work also explores the integration of intelligent control systems and AI-driven manufacturing processes, improving efficiency and accuracy in high-performance manufacturing industries. As the Principal Investigator of multiple national research projects, he is pioneering new methodologies for ultra-precision machining, particularly in single-point oblique axis grinding and laser-assisted cutting. His research has direct applications in aerospace, semiconductor manufacturing, and high-precision optics, making significant contributions to the field.

Awards and Honors

Dr. Gu Peng has received numerous national and institutional awards for his academic excellence and research contributions. He was a recipient of the Shanghai Super Postdoctoral Fellowship, the National Scholarship for Undergraduate and Doctoral Students, and multiple Outstanding Graduate Awards from Tongji University. He has also been recognized in national technology competitions, securing top prizes in innovation and mathematical modeling contests. In addition to his academic accolades, he serves as a reviewer for leading SCI journals, including the Journal of Manufacturing Technology and Applied Surface Technology. His contributions to ultra-precision machining and automation technology have established him as a highly respected figure in both academic and industrial research communities.

Conclusion

Dr. Gu Peng is highly suitable for the Best Researcher Award, given his strong publication record, leadership in high-level research projects, and national recognition. With continued efforts in international collaborations, student mentorship, and diversification of research, he could further solidify his standing as a leading researcher in the field of ultra-precision manufacturing.

Publications Top Noted

  • Author: Gu, P., Zhu, C., Sun, Y., Wang, D., & Shi, Z.

    • Year: 2025
    • Title: Evaluation and Prediction of Wrapping Deformation in Sheet Part Grinding
    • Journal: Experimental Techniques
    • Citations: 0

  • Author: Sun, C., Gu, P., Wan, H., Lin, J., & Min, J.

    • Year: 2025
    • Title: Enhancements of Physical Microstructure and Chemical Activation on Interfacial Bonding Strength of Carbon Fiber Reinforced Polymer
    • Journal: Composites Part A: Applied Science and Manufacturing
    • Citations: 0