Lin Xu – Materials Science and Engineering – Best Researcher Award

Published on by Civil Engineering

Lin Xu - Materials Science and Engineering - Best Researcher Award

Office Director of Graduate School | Shenyang Institute of Engineering | China

Lin Xu is an accomplished researcher and academic in the field of electromagnetic hydromechanics and superconductors for energy storage coils, currently serving as Associate Professor at Shenyang Institute of Engineering. With a strong international academic background, including visiting scholar experience at Ilmenau University of Technology in Germany, Lin Xu has built expertise recognized through membership in the Weize Expert Database for Mechanical Engineering, the Chemical Industry Association of China, and the Liaoning Engineering Thermodynamics Society. Acknowledged as Shenyang High-Level “Leading” Talent, SYEU Young Talent, and Science & Technology Pioneer, Lin Xu plays a significant role as a backbone faculty member in Power and Thermal Engineering at SYEU. Contributions extend beyond teaching and mentoring, with active involvement in editorial and review work for respected journals such as Journal of Metals, Ironmaking & Steelmaking, and membership in the Youth Editorial Board of Steel Vanadium Titanium and Contemporary Chemical Industry Research. Research achievements include leading five provincial and municipal vertical projects and four horizontal projects, with total funding surpassing 310,000 RMB, alongside participation in national and international collaborations such as NSFC projects, National Discipline Innovation Projects, and a DFG-supported initiative with Germany. Scholarly output is notable, with more than twenty high-level publications in prestigious journals, including nine SCI-indexed papers as first author, as well as three EI papers, covering topics such as electromagnetic braking, heat transfer, melt flow, and solidification processes in continuous casting. Practical impact is evident in the acquisition of five invention patents granted across China, Japan, and Europe, with successful technology transfers valued at 200,000 RMB. This strong balance of theoretical innovation, applied research, and industry contribution underscores Lin Xu’s continuing influence in advancing mechanical engineering and materials science, particularly in the areas of superconducting applications and metallurgical process optimization.

Profile: Scopus | ORCID
Publications:

  • Xu, L., Pei, Q., & Gao, J. (2025). Analysis of mechanical and quench behavior in high-temperature superconductors for energy storage coils. Physica C: Superconductivity and its Applications.

  • Li, N., Feng, P., Xu, L., Tang, M., & He, Z. (2025). Pore scale numerical simulation of flow and heat transfer non-equilibrium in randomly packed bed. Numerical Heat Transfer, Part A: Applications.

  • Xu, L., Tang, M., Lyu, Z., Li, N., Liu, C., & Pei, Q. (2024). Influence of operating parameters on metal flow and thermal characteristics in an EMBr-single-ruler controlled CSP funnel-shaped mould. Metallurgical Research & Technology.

  • Xu, L., Pei, Q., Han, Z., Cui, J., Pan, H., & Yao, Y. (2022). Influences of the braking effect of ruler EMBr on molten steel flow and steel–slag interface fluctuation in a continuous casting mold. Processes.

Yixiao Chen – Transportation Engineering – Best Researcher Award

Published on by Civil Engineering

Yixiao Chen | Transportation Engineering | Best Researcher Award

Doctoral Student | Jiangsu University | China

Yixiao Chen is a highly accomplished PhD candidate at Jiangsu University specializing in vehicle engineering, with a strong academic and research profile centered on autonomous driving, acceleration evaluation, steer-by-wire systems, scene generation, and SLAM. The academic journey began with a bachelor’s degree in transportation from Nantong University in 2020, followed by a master’s degree in vehicle engineering at Jiangsu University, focusing on visual SLAM, and continued into doctoral studies from 2023 onward. Recognized for excellence, multiple honors have been earned, including the Best Researcher Prize in 2025 for a significant paper on scenario virtual testing technology for autonomous vehicles, third place in the 3rd National Onsite Autonomous Driving Challenge, and several awards during graduate studies such as Outstanding Graduate Student Cadre and Best Paper Award. Research contributions include impactful journal publications in esteemed outlets like Symmetry, IEEE Transactions on Automation Science and Engineering, and the Journal of Automobile Engineering, addressing key advancements in scenario testing, acceleration evaluation, visual mapping algorithms, and vehicle dynamics. Alongside publications, multiple patents have been secured, focusing on accelerated testing methods, virtual acceleration test systems, and semantic mapping for indoor parking, reflecting innovation and applied research outcomes. Beyond academic work, leadership has been demonstrated by managing large-scale projects, including serving as project leader for the Jiangsu Province Graduate Research and Innovation Program and acting as a core member in projects on virtual simulation scenario modeling, drive-by-wire systems, and millimeter-wave detection. Currently, a dedicated team of eight postgraduates has been established under guidance, advancing research on drive-by-wire chassis control and virtual simulation platforms, strengthening both theoretical development and real-world application. The career trajectory illustrates a blend of rigorous academic achievement, practical innovation, and leadership, positioning Yixiao Chen as an emerging expert contributing significantly to the fields of autonomous driving and intelligent vehicle systems.

Profile:  ORCID

Publications:

  • Chen, Y., Jiang, H., & Sun, T. (2025). Review of scenario virtual testing technology for autonomous vehicles: Migration challenges between symmetric frameworks and asymmetric scenarios. Symmetry.

  • Chen, Y. (2025). Design of variable steering ratio for steer-by-wire system based on driver’s steering characteristics. Machines.

  • Li, A., Su, M., Jiang, H., Chen, Y., & Chen, W. (2024). A two-dimensional lane-changing dynamics model based on force. IEEE Transactions on Intelligent Transportation Systems.

  • Jiang, H., Chen, Y., Shen, Q., Yin, C., & Cai, J. (2024). Semantic closed-loop based visual mapping algorithm for automated valet parking. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering.

  • Chen, Y. (2020). An empirical study of virtual simulation technology replacing real car test in college teaching. Research and Exploration in Laboratory.

  • Chen, Y. (2019). Optimization for pure electric buses body structure based on improved response surface method. Journal of Machine Design.

Yuan Shengfu | Martensite stainless steel | Best Researcher Award

Published on by Civil Engineering

Yuan Shengfu | Martensite stainless steel | Best Researcher Award

lecturer at Guangdong Laboratory for Materials Science and Technology | China

Yuan Shengfu is a highly accomplished researcher specializing in Materials Science and Engineering, with extensive expertise in developing advanced steel materials for marine and offshore applications. With a strong academic foundation and over a decade of experience, Yuan has contributed significantly to research on corrosion analysis, high-strength steel development, and microstructural characterization. Yuan’s work bridges industrial applications and scientific innovation, making impactful contributions to material design and performance optimization. Through collaboration with top universities, government agencies, and industry leaders, Yuan has built a reputation as a skilled researcher with strong technical and analytical capabilities.

Professional Profile

Scopus

Education

Yuan Shengfu completed a Bachelor’s, Master’s, and PhD in Materials Science and Engineering from the University of Science and Technology Beijing, where Yuan developed expertise in steel materials and their applications. Yuan also gained international exposure through a study exchange at National Taiwan University. These educational experiences provided a solid foundation in microstructure-property relationships, corrosion prevention strategies, and steel development for marine engineering. Yuan’s academic training emphasizes innovation and problem-solving, preparing for impactful contributions to research and development in both academic and industrial settings, further enriching expertise in advanced materials engineering and metallurgical science.

Professional Experience

Yuan Shengfu has worked extensively on high-level projects in materials science, including the development of E460-E690 high-strength steel for marine engineering and corrosion failure analysis for petroleum equipment. Yuan has collaborated with major organizations, including Jiangyin Xingcheng Special Steel, Shell, and the Ministry of Science and Technology, delivering practical solutions for industrial challenges. Yuan’s expertise extends to expansion tube technology, advanced steel design, and offshore material innovation. With a career focused on bridging research and application, Yuan demonstrates exceptional skill in material characterization, failure analysis, and developing solutions tailored to challenging engineering environments.

Research Interest

Yuan Shengfu focuses on materials innovation, emphasizing high-strength, corrosion-resistant steels and their applications in offshore and marine environments. Yuan’s research explores microstructure-property relationships, phase transformations, and steel processing to enhance mechanical performance. Areas of interest include grain refinement techniques, advanced characterization methods, and alloy design for low-cost, high-performance solutions. Yuan’s dedication to advancing metallurgical science is reflected in impactful research outcomes and international collaborations. By integrating computational modeling, experimental design, and industrial partnerships, Yuan drives advancements that support sustainable and efficient engineering practices, with a focus on steel production and its real-world applications.

Award and Honor

Yuan Shengfu’s contributions to materials science have been recognized through collaboration with government and industrial leaders, leading to evaluations and approvals by expert panels from organizations such as the Ministry of Science and Technology and Shell. These acknowledgments highlight Yuan’s expertise in addressing real-world engineering problems through innovative material solutions. The development of industrial technologies for submarine oil and gas production and corrosion analysis for petroleum equipment showcase Yuan’s impact in bridging research with practical results. These honors reflect Yuan’s leadership and excellence in advancing the field of materials engineering and providing solutions for critical infrastructure.

Research Skill

Yuan Shengfu demonstrates expertise in mechanical properties testing, scanning electron microscopy, and EBSD operations, showcasing advanced analytical and characterization skills essential to metallurgy. Yuan’s proficiency in microstructural analysis and materials evaluation contributes to significant innovations in high-strength steel and corrosion-resistant alloys. Yuan is also skilled in international communication, supported by certification in the National English Test Band 6. These competencies allow for seamless collaboration across research institutions and industry, advancing solutions in materials development. Yuan’s technical skill set reflects deep expertise in laboratory techniques, data interpretation, and precision in experimental design for engineering applications.

Publications

Yuan Shengfu has authored impactful research papers published in respected journals, including Materials Science and Engineering A, International Steel Research, and Metals. Yuan’s publications focus on topics such as microstructure-property relationships, grain refinement, phase transformation, and high-strength steel innovation for offshore applications. These works demonstrate expertise in bridging fundamental research with industrial needs, contributing to advancements in alloy design and production processes. Through international collaborations, Yuan has shared knowledge with experts worldwide, enhancing the global understanding of steel performance. These publications establish Yuan’s role as a leading researcher in materials science and engineering.

Title: Study on galvanic corrosion of Cr-Mn high strength structural steel and titanium alloy in simulated atmospheric environment
Citations: 0

Title: Study on microbiologically influenced corrosion of HSLA-65 steel
Year: 2024
Citations: 2

Conclusion

Yuan Shengfu’s academic achievements, technical expertise, and contributions to the steel industry highlight an exceptional career in materials science. Yuan’s ability to integrate advanced characterization techniques with industrial problem-solving has resulted in practical solutions and innovative steel technologies. The combination of international experience, research excellence, and collaboration with leading institutions reflects Yuan’s dedication to advancing engineering practices. Yuan’s commitment to innovation in steel design and corrosion resistance research has set new standards in metallurgical science. With a focus on sustainability, performance optimization, and industrial application, Yuan continues to lead impactful advancements in engineering.

Beibei He – Materials Science and Engineering – Best Researcher Award

Published on by Civil Engineering

Beibei He - Materials Science and Engineering - Best Researcher Award

Professor (PhD Supervisor）at Hainan University | China

Beibei He is a highly accomplished researcher with extensive expertise in materials science, solid-state electrochemistry, ceramic materials, and energy conversion technologies. With a strong academic and research background, she has contributed significantly to the field through innovative solutions for fuel cells, batteries, and sustainable energy systems. Her research focuses on advancing energy efficiency and developing high-performance materials to address global energy challenges. She has built a reputation for excellence through impactful publications, patents, and international collaborations, making her a respected figure in advanced materials research.

Professional Profile

ORCID | Scopus

Education

Beibei He holds a Ph.D. in Materials Science from the University of Science and Technology of China, where she honed her expertise in solid-state materials and advanced energy systems. She earned her undergraduate degree in Chemical Engineering from Central South University, further establishing a strong foundation in chemical and materials engineering principles. This combination of theoretical knowledge and practical experience has allowed her to drive innovation in electrochemistry and materials science, laying the groundwork for her remarkable career as a professor and leading researcher in the energy sector.

Professional Experience

With an impressive academic career, Beibei He currently serves as a Professor in the Department of Materials Science and Engineering at Hainan University, contributing to research and mentoring future scientists. She previously held a long tenure as an Assistant Professor at China University of Geosciences, where she expanded her research in ceramic materials and fuel cells. Her postdoctoral work at Curtin University in Australia added an international dimension to her expertise, enhancing her research scope and establishing her as a globally recognized scientist in advanced materials and energy technology.

Research Interest

Her research interests revolve around solid-state electrochemistry, inorganic membranes, ceramic materials, and energy storage and conversion devices such as solid oxide fuel cells and advanced batteries. Beibei He’s work emphasizes creating efficient, sustainable, and robust solutions to address energy demands and environmental concerns. She is particularly known for her contributions to developing novel electrode materials, improving reaction kinetics, and engineering nanoscale interfaces, all of which have advanced performance benchmarks in energy applications. These interdisciplinary research areas highlight her innovative mindset and technical leadership.

Award And Honor

Beibei He has been recognized globally for her exceptional contributions to science, earning accolades such as being listed among Stanford/Elsevier’s Top 2% Scientists in both 2023 and 2024. These honors highlight her impact on materials science and electrochemistry, showcasing her research excellence and dedication to advancing energy solutions. Her awards reflect her role as a thought leader in her field and underscore her efforts to develop transformative energy technologies. Through these recognitions, she continues to inspire peers and upcoming researchers in the global scientific community.

Research Skill

Beibei He possesses extensive skills in designing and synthesizing advanced ceramic and electrochemical materials, employing cutting-edge experimental techniques for energy device innovation. Her expertise spans from molecular-level material engineering to scalable device optimization, demonstrating versatility in addressing research challenges. She is proficient in experimental design, characterization techniques, and electrochemical performance analysis. In addition, she has strong collaborative and leadership skills, evidenced by her extensive co-authored publications and interdisciplinary projects. Her abilities position her as a leading researcher committed to solving real-world energy problems.

Publications

Beibei He has authored over 140 peer-reviewed journal articles, contributing groundbreaking insights into electrochemical materials and devices. Her extensive body of work reflects her dedication to advancing knowledge in solid oxide fuel cells, zinc-air batteries, and catalytic materials for energy applications. In addition, she has filed multiple patent applications, reinforcing her role as both a scientific innovator and practical problem-solver. Her publications in top-tier journals like Advanced Materials and Applied Catalysis B demonstrate her influence and leadership in cutting-edge research on energy-efficient solutions.

Title: Entropy-engineered perovskite cathodes: A novel approach for efficient and durable CO2 electrolysis
Journal: Journal of Colloid and Interface Science, 2025

Title: Enhancing CO2 electrolysis efficiency via in-situ exsolution in high-entropy perovskite electrodes
Journal: Separation and Purification Technology, 2025

Title: Synergistic Vertical Graphene-Exsolved Perovskite to Boost Reaction Kinetics for Flexible Zinc–Air Batteries
Journal: Advanced Functional Materials, 2025

Title: Enhanced stability of perovskite cathode via entropy engineering for CO2 electrolysis
Journal: Rare Metals, 2025

Title: Rational design of LDH-Derived NiFe layered double oxides as capacitive deionization anode for efficient chlorine ion storage with a “memory effect”
Journal: Applied Surface Science, 2025

Conclusion

Beibei He stands out as a globally recognized scientist dedicated to revolutionizing energy technology through advanced materials research. Her exceptional career trajectory demonstrates expertise, innovation, and leadership, positioning her as a role model for aspiring researchers. Through impactful publications, international collaboration, and numerous honors, she continues to shape the future of sustainable energy solutions. Her dedication to bridging scientific discovery with practical applications underscores her vision for advancing environmental sustainability, making her an invaluable contributor to the scientific and engineering community.

Shiyu Liu – Engineering – Best Researcher Award

Published on by Civil Engineering

Shiyu Liu - Engineering - Best Researcher Award

Hebei University - China

AUTHOR PROFILE

SCOPUS

SHIYU LIU: RESEARCHER IN AI-BASED MONITORING 🔬

Shiyu Liu, currently a lecturer and postdoctoral researcher at Hebei University, has been making significant contributions in the field of spectral detection and analysis using artificial intelligence. His primary research revolves around spectral detection, machine learning, and AI-driven health monitoring systems for lithium-ion batteries, bringing innovative solutions to environmental monitoring and engineering applications.

AI-DRIVEN BATTERY MONITORING 🔋

Liu's work focuses on the health monitoring of lithium-ion batteries through artificial intelligence techniques. He combines electrochemical impedance spectroscopy with machine learning to accurately predict battery capacity and health. This research is vital for improving battery longevity, particularly in electric vehicles and sustainable energy systems, where battery performance is crucial.

SPECTRAL ANALYSIS & AI ALGORITHMS 📊

Liu's expertise extends to spectral detection and analysis, utilizing AI-based algorithms for processing near-infrared (NIR) spectroscopy data. His research aims to address issues such as high noise interference and spectral peak overlap, which often hinder accurate detection of complex organic compounds. By integrating machine learning and chemometric methods, he strives for precision in environmental pollutant measurement and industrial applications.

INNOVATIVE PROJECTS & PARTNERSHIPS 🤝

Shiyu Liu has actively contributed to several national and provincial projects, including the National Natural Science Foundation of China. His projects range from detecting environmental pollutants using spectral analysis to developing remote sensing image processing algorithms for space applications. These collaborations underscore his role in advancing both environmental science and technology.

CUTTING-EDGE PUBLICATIONS 📚

Liu has published extensively in prestigious journals, such as Fuel and Spectrochimica Acta, with a focus on using AI techniques for diesel fuel analysis and NIR spectroscopy. His innovative approach combines deep learning with spectral data to enhance the accuracy of fuel property detection, contributing to advancements in both energy and environmental fields.

PROFESSIONAL ENGAGEMENTS & PRESENTATIONS 🎤

Liu actively participates in international conferences, presenting his research findings to global audiences. Notably, he presented at the 2023 UNIfied International Conference in the UK, where he shared insights on battery health monitoring using AI. His academic activities also include contributions to forums on infrared technology, further solidifying his reputation in AI-driven research.

AWARDS & RECOGNITIONS 🏆

Shiyu Liu has received several prestigious awards, including the CSC Scholarship for his visiting PhD tenure at the University of Huddersfield. His accolades also include national scholarships, recognition as an “excellent graduate,” and top prizes in mathematical and physics competitions. These honors reflect his commitment to academic excellence and innovation in his field.

NOTABLE PUBLICATION

Title: Series fusion of scatter correction techniques coupled with deep convolution neural network as a promising approach for NIR modeling
Authors: Liu, S., Wang, S., Hu, C., Kong, D., Yuan, Y.
Journal: Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy
Year: 2023

Title: A MLP-Based Transfer Learning Model Using EIS Health Features for State of Health Estimation of Lithium-Ion Battery
Authors: Zhao, X., Wang, Z., Liu, S., Gu, F., Ball, A.
Conference: ICAC 2023 - 28th International Conference on Automation and Computing
Year: 2023

Title: Markov Transform Field Coupled with CNN Image Analysis Technology in NIR Detection of Alcohols Diesel
Authors: Liu, S., Wang, S., Hu, C., Kong, D.
Conference: Mechanisms and Machine Science
Year: 2023

Title: Rapid and accurate determination of diesel multiple properties through NIR data analysis assisted by machine learning
Authors: Liu, S., Wang, S., Hu, C., Kong, D., Wang, J.
Journal: Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy
Year: 2022

Title: Determination of alcohols-diesel oil by near infrared spectroscopy based on gramian angular field image coding and deep learning
Authors: Liu, S., Wang, S., Hu, C., Bi, W.
Journal: Fuel
Year: 2022