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

Carlos Loeffler – Boundary Element Method – Best Researcher Award 

Published on by AMO Physics

Prof. Dr. Carlos Loeffler embarked on his academic path with a solid background in engineering, obtaining his undergraduate degree from Universidade Gama Filho, Brazil, where he completed a mechanical and structural project as his thesis. He pursued a Master’s degree at the Instituto Militar de Engenharia (IME) focused on the dynamic elastoplastic analysis of cable-stayed towers, demonstrating early specialization in structural mechanics and numerical methods. His doctoral studies at Universidade Federal do Rio de Janeiro (UFRJ) further solidified his expertise, with a thesis titled “Uma Formulação Alternativa do Método dos Elementos de Contorno Aplicada a Problemas de Campo Escalar”, which focused on innovative approaches to the Boundary Element Method. This foundation established his lifelong dedication to advancing numerical methods in engineering.

💼 Professional Endeavors

Prof. Loeffler has maintained a distinguished professional career primarily at the Universidade Federal do Espírito Santo (UFES), where he has served as a full professor since 1996 with exclusive dedication to teaching and research. His professional engagements include extensive teaching in mechanical engineering courses and leadership roles, such as coordinating the Mechanical Engineering Master's program and participating actively in institutional research committees. He also completed multiple postdoctoral fellowships at prominent institutions such as UFRJ and Brunel University London, expanding his expertise in applied mathematics and mechanical engineering. Throughout his career, he has consistently applied and enhanced the Boundary Element Method  in both academic and practical engineering contexts.

🔬 Contributions and Research Focus

Prof. Dr. Loeffler’s main research focus lies in the Boundary Element Method  and its applications in continuum mechanics and structural analysis. He has contributed significantly to numerical-experimental fatigue analysis in mechanical threads and has developed alternative formulations for the Boundary Element Method  to solve scalar field problems. His research lines also encompass structural dynamics, wave propagation using boundary elements, and advanced computational techniques for mechanical systems. These contributions have advanced the practical use and theoretical understanding of the Boundary Element Method  within engineering, particularly in structural and mechanical applications.

🌍 Impact and Influence

Prof. Loeffler’s influence extends widely across Brazilian engineering education and research. His pioneering work on the Boundary Element Method has influenced numerous students, researchers, and practitioners. He has shaped curricula through the courses he teaches, including advanced boundary elements and applied mechanics, impacting multiple generations of engineers. His leadership roles in research committees and academic councils at UFES and other institutions have helped foster a strong research culture in computational mechanics. Moreover, his research outcomes have practical industrial relevance, notably in fatigue analysis and structural mechanics.

🏆Academic Cites

Prof. Loeffler’s scholarly work on the Boundary Element Method has been cited extensively in academic publications related to computational mechanics and numerical methods. His innovative alternative formulations and applied research have served as key references for advancing boundary element applications. His postdoctoral research and contributions to variational principles and numerical methods have been well-recognized in both national and international engineering communities, demonstrating a sustained impact in the field.

🌟 Legacy and Future Contributions

Prof. Dr. Carlos Loeffler’s legacy is firmly rooted in his dedication to the advancement and dissemination of the Boundary Element Method in engineering. As a mentor and educator, he continues to inspire new researchers and engineers in Brazil. Looking forward, his future contributions are expected to expand the applications of boundary element techniques in complex mechanical systems and continue influencing computational mechanics research. His ongoing involvement in academic and professional committees ensures his role in shaping future research directions and educational programs.

📝Boundary Element Method

Prof. Loeffler’s career is deeply intertwined with the Boundary Element Method, which he has applied to various mechanical and structural problems. His expertise in Boundary Element Method formulations and numerical techniques has significantly advanced both theoretical and applied aspects of this method. Continuing work in the Boundary Element Method promises to further enhance computational solutions in engineering disciplines under his guidance.

✍️ Notable Publication

📝The Direct Interpolation Boundary Element Method for Solving Acoustic Wave Problems in the Time Domain

Authors: G.A.R. Dos Santos, Gyslane Aparecida Romano; C.F. Loeffler, Carlos Friedrich; A. Bulcão, André; L.O. Lara, L. O.C.

Journal: Computational and Applied Mathematics

Year: 2025

Citations: 0

📝A Novel Direct Interpolation Boundary Element Method Formulation for Solving Diffusive–Advective Problems

Authors: C.F. Loeffler, Carlos Friedrich; V.P. Pinheiro, Vitor Pancieri; L.O. Lara, L. O.C.

Journal: Engineering Analysis with Boundary Elements

Year: 2024

Citations: 0

📝A New Strategy for a Faster Matrix Assembly in the Boundary Element Method

Authors: L.S. Campos, Lucas Silveira; C.F. Loeffler, Carlos Friedrich

Journal: Computers and Mathematics with Applications

Year: 2024

Citations: 0