Xiangnan Liu – Mechanical Engineering – Best Researcher Award 

Published on by AMO Physics

Assist. Prof. Dr. Xiangnan Liu, born in Shaoyang, Hunan, began his academic journey with an early interest in Mechanical Engineering and measurement technologies. His dedication to scientific research led him to pursue a PhD in Mechanical Engineering at the South China University of Technology. During this time, he developed a strong foundation in fatigue analysis, vibration response, and durability testing, laying the groundwork for his future academic and research contributions. His outstanding doctoral work established him as a promising scholar in the field of Mechanical Engineering.

💼 Professional Endeavors

Dr. Liu has cultivated a distinguished career in both academia and industry. He is currently an Associate Professor at the School of Mechanical and Electrical Engineering, Hunan University of Science and Technology (2025–present), where he also serves as Deputy Director of the Department of Mechanical Electronics and Measurement and Control Instruments. Alongside his university role, he is a Postdoctoral Fellow at Xuelong Group Co., Ltd. since July 2025. His professional endeavors extend to significant administrative and collaborative roles, such as serving as a correspondence review expert for the National Natural Science Foundation of China, a senior member of the Chinese Society of Mechanical Engineers, and Director of the Hunan Instrument Society. His dual commitment to academia and applied research underscores his dedication to advancing Mechanical Engineeringin China and internationally.

🔬 Contributions and Research Focus

Dr. Liu’s research focuses on fatigue strength, life prediction, and durability testing of rubber vibration damping products. His contributions include pioneering work in vibration response and strength analysis of rubber materials, fatigue testing of automotive parts, and innovative methods for cooling fan blade fatigue analysis. He leads major projects such as the National Natural Science Foundation Youth Project on fatigue damage evolution mechanisms, as well as multiple school-enterprise collaborations focusing on automotive rubber components, air spring hysteresis performance, and fatigue life of metal pipes. His research is not only theoretical but also highly practical, bridging the gap between Mechanical Engineering theory and industrial application.

🌍 Impact and Influence

The impact of Dr. Liu’s work is reflected in his leadership roles, his contributions to national-level projects, and his extensive publications in high-impact journals, including the International Journal of Fatigue, Fatigue & Fracture of Engineering Materials & Structures, Measurement, and the Chinese Journal of Mechanical Engineering. His studies have advanced understanding of multi-axial fatigue, probabilistic fatigue life prediction, and artificial intelligence applications in structural fatigue. He has also played an influential role in education reform by integrating ideological and political elements into engineering curricula. His influence extends through mentorship, as he has guided students to publish in leading journals and win prestigious competitions.

🏆Academic Cites

Dr. Liu’s body of work, consisting of more than 20 high-quality papers, is widely cited in the field of Mechanical Engineering, underscoring the scholarly value of his research. His contributions to probabilistic fatigue models, neural network-based life prediction, and load spectrum editing are frequently referenced by academics and professionals alike. His recognition as part of the 2024 Wiley China Excellent Author Program further highlights the significance and global reach of his academic work.

🌟 Legacy and Future Contributions

Looking ahead, Dr. Liu is poised to further solidify his legacy in Mechanical Engineering His ongoing projects in fatigue strength and life prediction are expected to result in innovative technologies and predictive models that will benefit both academia and industry. His leadership in research, combined with his commitment to education and mentorship, ensures that his influence will extend to future generations of engineers. By bridging academic theory with industrial applications, Dr. Liu’s future contributions promise to strengthen the durability and reliability of mechanical systems in automotive, aerospace, and energy sectors.

📝Mechanical Engineering

Assist. Prof. Dr. Xiangnan Liu has established himself as a leading scholar in Mechanical Engineering, with impactful research on fatigue strength, vibration damping, and durability testing. His numerous publications, projects, and academic achievements have advanced the global field of Mechanical Engineering, while his mentorship and educational reforms contribute to shaping the discipline’s future. His legacy in Mechanical Engineering continues to grow through innovative research, applied industrial collaborations, and academic leadership.

✍️ Notable Publication

Physics‐Informed Neural Network Model for Predicting the Fatigue Life of Natural Rubber Under Ambient Temperature Effects

Authors: Yujia Liu; Wen‐Bin Shangguan; Xiangnan Liu; Xuepeng Qian

Journal: Fatigue & Fracture of Engineering Materials & Structures

Year: 2025

Accelerated fatigue bench test method for rubber vibration isolators based on load spectrum compilation

Authors: Xiangnan Liu; Xuepeng Qian; Yi Xi

Journal: Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

Year: 2025

Comparison and experiment validation of fatigue data editing methods for vehicle component

Authors: Jingwei Xu; Xiangnan Liu

Journal: Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

Year: 2025

Improving Fatigue Life Prediction of Natural Rubber Using a Physics‐Informed Neural Network Model

Authors: Yingshuai Sun; Xiangnan Liu; Qing Yang; Xuelai Liu; Kuanfang He

Journal: Fatigue & Fracture of Engineering Materials & Structures

Year: 2025

Multi-axis fatigue load spectrum editing for automotive components using generalized S-transform

Authors: Xiangnan Liu; Jinghai Tan; Shangbin Long

Journal: International Journal of Fatigue

Year: 2024

A unified probabilistic fatigue life prediction model for natural rubber components considering strain ratio effect

Authors: Xiangnan Liu; Xuezhi Zhao; Xiao‐Ang Liu

Journal: Fatigue & Fracture of Engineering Materials & Structures

Year: 2023

Natural rubber components fatigue life estimation through an extreme learning machine

Authors: Xiangnan Liu; Xiao-Li Wang

Journal: Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications

Year: 2023

Zengwei Guo – Solid Mechanics – Best Researcher Award 

Published on by AMO Physics

Prof. Zengwei Guo began his academic journey with a deep interest in civil engineering and structural mechanics, focusing on the durability, safety, and dynamic behavior of infrastructures. His early academic pursuits were marked by rigorous training in engineering mechanics, reinforced concrete structures, and applied mathematics, which built the foundation for his later expertise in corrosion modeling, structural health monitoring, and wind engineering. This early exposure to both theoretical and applied aspects of solid mechanics allowed him to develop a research vision that integrates advanced modeling approaches with practical engineering applications.

💼 Professional Endeavors

Throughout his career, Prof. Guo has worked extensively in civil and structural engineering research, with academic affiliations that enabled him to collaborate with leading scholars in China and internationally. His professional endeavors include serving as a corresponding author in high-impact journals, leading interdisciplinary projects, and supervising graduate students in structural health monitoring and bridge engineering. His active collaborations across structural durability, corrosion modeling, and aerodynamic performance of long-span bridges underscore his contributions to solid mechanics in both theoretical frameworks and practical applications.

🔬 Contributions and Research Focus

Prof. Guo’s contributions have significantly advanced the fields of infrastructure resilience and reliability. His research focus includes probabilistic modeling for reinforcement corrosion, corrosion state prediction using electrochemical indicators, and wind-induced vibration control of long-span bridges. He has introduced Bayesian-network-based frameworks for corrosion evaluation, developed hybrid prediction models for nondestructive testing, and applied wavelet analysis to characterize wind dynamics. Additionally, his work in applying physics-informed neural networks for parameter identification in prestressed concrete beams demonstrates his forward-looking integration of artificial intelligence into solid mechanics and structural engineering research.

🌍 Impact and Influence

Prof. Guo’s impact is evident through his wide-ranging publications across prestigious international journals such as Journal of Nondestructive Evaluation, Computer-Aided Civil and Infrastructure Engineering, Journal of Wind Engineering & Industrial Aerodynamics, and Journal of Vibration and Control. His studies have influenced both academic researchers and practicing engineers, particularly in the domains of structural health monitoring, durability of concrete infrastructures, and wind-induced responses of bridges. By addressing real-world challenges, his research has enhanced safety standards, optimized predictive models, and improved design strategies for long-term infrastructure resilience. His influence extends to interdisciplinary areas where solid mechanics intersects with materials science, artificial intelligence, and reliability engineering.

🏆Academic Cites

Prof. Guo’s scholarly works are widely cited, reflecting the academic community’s recognition of their significance. Key publications on Bayesian probabilistic models, chloride diffusion, and modal damping of suspension bridges have become reference points in the literature. His high citation record highlights the robustness of his methodologies and the relevance of his findings to both theoretical developments and practical engineering applications. The frequent referencing of his work in journals and conferences underlines his authority in solid mechanics-driven approaches for infrastructure safety and monitoring.

🌟 Legacy and Future Contributions

Prof. Zengwei Guo’s legacy is being built upon his pioneering integration of probabilistic models, machine learning, and advanced experimental methods into civil and structural engineering. Looking forward, his future contributions are likely to expand into intelligent infrastructure systems, advanced materials durability, and real-time structural monitoring through sensor integration. His commitment to bridging theoretical advances in solid mechanics with practical engineering challenges ensures that his research will continue to shape the field. As a mentor, researcher, and innovator, his legacy will inspire future generations of engineers dedicated to infrastructure resilience and safety.

📝Solid Mechanics

Prof. Guo’s body of work consistently integrates principles of solid mechanics into the evaluation of reinforcement corrosion, bridge aerodynamics, and structural health monitoring. His application of computational methods, probabilistic modeling, and AI techniques advances solid mechanics research beyond traditional boundaries. Through publications, collaborations, and innovative projects, he has positioned solid mechanics as a cornerstone of modern civil and structural engineering solutions.

✍️ Notable Publication

Title: Machine-learning-aided shear-capacity solution of RC girders with web stirrups based on the modified compression field theory

Journal: KSCE Journal of Civil Engineering

Year: 2024

Citations: 1

Title: Bayesian-network-based evaluation for corrosion state of reinforcements embedded in concrete by multiple electrochemical indicators

Journal: Journal of Nondestructive Evaluation

Year: 2024

Citations: 1

Title: Corrigendum to “Corrosion protection failure test analysis of the initial damaged cable ICCP mechanism” [Case Stud. Constr. Mater. 20 (2024) e03227]

Journal: Case Studies in Construction Materials

Year: 2024

Citations: 0

Title: Corrosion protection failure test analysis of the initial damaged cable ICCP mechanism

Journal: Case Studies in Construction Materials

Year: 2024

Citations: 4

Title: Hybrid prediction model for reinforcements' corrosion stage by multiple nondestructive electrochemical indices

Journal: Journal of Building Engineering

Year: 2024

Citations: 8

Title: Bayesian probabilistic model for reinforcement corrosion ratio of reinforcement in concrete prediction based on modified half-cell potential

Journal: Journal of Civil Structural Health Monitoring

Year: 2024

Citations: 4

Mohammad Yaser Abajy | Molecular Biology and Nanotechnology | Best Researcher Award 

Published on by AMO Physics

Assoc. Prof. Dr. Mohammad Yaser Abajy | Molecular Biology and Nanotechnology | Best Researcher Award 

Dean of Faculty of Pharmacy at Arab University for Science and Technology, Syria

Assoc. Prof. Dr. Mohammad Yaser Abajy is an accomplished molecular biologist and biopharmaceutical researcher whose academic journey includes a PhD in Molecular Biology from the Technical University of Berlin (2003–2007) where he studied the type IV secretion-like (T4SLS) system in Enterococcus faecalis, and a postdoctoral fellowship at Karl-Franzens University, Graz (2007–2009) focused on the isolation, purification, and characterization of recombinant proteins of a bacterial Type IV secretion system. His foundational training began with a BSc in Pharmacy (industrial branch) from Aleppo University (1994–1999). In his academic career, he has designed and taught advanced courses in Molecular Biology, Pharmaceutical Biotechnology, and Pharmaceutical Microbiology, while guiding and mentoring graduate and undergraduate students. His research interests span recombinant protein expression and purification, bacterial genetics, pharmacogenetics, gene toxicity, biopharmaceutical compounds, and the discovery and evaluation of new herbal medicines. According to Google Scholar, he has an h-index of 11 and a total citation count nearing 600 (with 61 publications on ResearchGate, 458 citations reported). His publication record includes work on type IV secretion systems (e.g., TraG in pIP501 conjugative plasmid) PMC, antimicrobial/antioxidant studies of plant extracts, nanoparticle-based therapeutics, gene polymorphism analyses, pharmaceutical biotechnology textbooks, and investigational studies (e.g. Molecular diagnosis of cutaneous Leishmaniasis, anti-inflammatory actions of Cedrus libani and Pinus brutia). He has also been recognized with a 2022 patent for a natural gel derived from Cedrus libani and Pinus brutia, and earlier honors including “Best Researcher of the Year” from Aleppo University and the Bronze Medal at Al-Basil Exhibition for his Electronic Drug Reference (ESD) project. He remains active in scientific societies and continues to contribute to interdisciplinary research bridging biotechnology, pharmacology, microbiology, and herbal therapeutics.

Profiles: Scopus | Google Scholar