Meng Li | Engineering | Best Researcher Award

Published on by China Scientist

Dr. Meng Li | Engineering | Best Researcher Award 

Li Meng is an Assistant Researcher at Northwestern Polytechnical University specializing in ultra-fast laser processing of advanced engineering materials. His research focuses on developing low-damage, high-precision processing technologies, particularly for turbine film cooling holes. He has contributed to national and university-level projects, secured multiple patents, and published in leading journals such as the Journal of Materials Processing Technology and Journal of Manufacturing Processes. Collaborating with top institutions, Li Meng continues to advance innovations in precision manufacturing, bridging academic research with industrial applications.

Dr. Meng Li | Northwestern Polytechnical University | China

Profiles

SCOPUS

ORCID

Education

  • Li Meng pursued higher studies with a strong focus on advanced manufacturing and materials processing. Throughout the academic journey, he developed expertise in laser processing technologies and the application of engineering principles to complex material challenges. His education provided him with a solid foundation in mechanical and aeronautical sciences, equipping him with both theoretical knowledge and hands-on skills to contribute effectively to high-level research in ultra-fast laser processing

Experience

  • Li Meng has dedicated his professional career to research in the field of ultra-fast laser processing of advanced engineering materials. He has actively contributed to major national projects and university-led innovations that focus on improving the quality and efficiency of laser-based manufacturing processes. His experience extends beyond academic work, as he has also contributed to consultancy and industry-based projects, bridging the gap between theoretical research and industrial application.

Awards and Recognition

  • Through consistent innovation and impactful research, Li Meng has earned recognition within the academic and professional community. His contributions to advancing low-damage laser processing techniques and collaborative works with esteemed institutions have strengthened his reputation as a promising researcher. The successful execution of funded projects and achievements in securing patents further reflect his ability to transform scientific ideas into practical outcomes that have long-term value.

Skills and Expertise

  • Li Meng has developed strong skills in ultra-fast laser processing, advanced materials engineering, and precision manufacturing. He demonstrates expertise in applying innovative approaches to reduce material damage while achieving high precision in processing. His collaborative spirit and ability to work across multidisciplinary teams further enhance his effectiveness in research. Additionally, his skills extend to project execution, problem-solving, and translating research into practical engineering solutions.

Research Focus 

  • Li Meng’s research primarily revolves around ultra-fast laser processing of advanced engineering materials. He has concentrated on optimizing processing methods to achieve superior quality and minimal material damage. His focus on turbine film cooling hole technology highlights his contribution to the aerospace and energy sectors, where precision and durability are essential. His work is paving the way for high-performance material applications that meet the demanding requirements of modern engineering industries.

Publications

Creep life prediction of Ni‐based single‐crystal superalloy plate with film‐cooling holes using a modified critical distance method based on the improved weight function
Authors: Ping Wang, Zhixun Wen, Meng Li, Guangxian Lu, Zhenwei Li, Pengfei He
Journal: Fatigue & Fracture of Engineering Materials & Structures

High temperature creep property of a novel porous double layer cooling structure for gas turbine blades
Authors: Ping Wang, Meng Li, Zhixun Wen, Chengjiang Zhang, Zhenwei Li, Pengfei He
Journal: Engineering Fracture Mechanics

Femtosecond laser high-quality drilling of film cooling holes in nickel-based single superalloy for turbine blades with a two-step helical drilling method
Authors: Meng Li, Zhi-xun Wen, Ping Wang, Yu-xing Liu, Zhen-wei Li, Zhu-feng Yue
Journal: Journal of Materials Processing Technology

Oxidation behavior of a nickel-based single crystal superalloy at 1100° C under different oxygen concentration
Author: Meng Li
Journal: Journal of Materials Science

Effect of aging heat treatment on microstructure of Ni-based single crystal superalloys
Authors: Zhengxing Feng, Zhixun Wen, Meng Li, Yanchao Zhao, Zhufeng Yue
Journal: AIP Advances

Conclusion

  • Li Meng stands out as a researcher who combines technical knowledge, innovative thinking, and practical application in the field of ultra-fast laser processing. His dedication to advancing precision manufacturing technologies and his strong collaborative network make him a valuable contributor to both academic and industrial research. With continued efforts, he is well-positioned to make further breakthroughs that will strengthen the future of advanced material processing and laser-based manufacturing technologies.

Wentao Li | Engineering Technology | Best Researcher Award

Published on by China Scientist

Dr. Wentao Li | Engineering Technology| Best Researcher Award

Innovative Contributions:

  • Wentao’s work has led to substantial innovations in railway safety, such as developing meteorological disaster monitoring and intelligent perimeter intrusion detection systems. His efforts have enhanced the accuracy and resilience of high-speed railway monitoring systems.
Dr. Wentao Li, China academy of railway sciences, China

Profile

Scopus

OrcID

🌱EARLY ACADEMIC PURSUITS

  • Wentao Li began his academic journey with a Bachelor’s degree in Automation, followed by a Master’s degree in Control Engineering. Building on this solid foundation, he has embarked on a Ph.D. in Traffic Engineering and Control, where he is focusing on innovations that drive the future of railway safety and operational efficiency. His early academic work provided him with a comprehensive understanding of automation and control systems, equipping him with the skills necessary to contribute significantly to railway research and innovation.

💼PROFESSIONAL ENDEAVORS

  • As an Assistant Researcher in the Postgraduate Department of the China Academy of Railway Sciences, Wentao has played a key role in advancing railway informatization. His research is primarily focused on three main areas: high-speed railway meteorological disaster monitoring, intelligent perimeter intrusion detection, and LiDAR sensing technology. His professional work has included participation in numerous projects—20 in total—aimed at boosting safety standards in high-speed rail systems. Additionally, his industry-focused research has led to 17 patents, demonstrating his commitment to applied solutions that address real-world challenges in rail transportation.

🔬CONTRIBUTIONS AND RESEARCH FOCUS 

  • Wentao’s research contributions focus on enhancing railway security and resilience. His work with meteorological disaster monitoring allows for better real-time tracking of extreme weather events, safeguarding railway operations. Through intelligent intrusion detection, he has contributed to the development of advanced image recognition algorithms that improve perimeter security, while his advancements in LiDAR sensing provide high-accuracy environmental awareness. His projects have brought novel solutions to the railway sector, directly impacting safety and operational continuity.

📚ACADEMIC CITES 

  • Wentao’s published work includes a notable contribution to IEEE Access, detailing a novel path-planning algorithm for warehouse robots based on a two-dimensional grid model. This publication has been cited 27 times, reflecting the academic community’s recognition of his work. He has also published articles in leading journals that highlight his expertise in image recognition and 3D object detection, especially as it applies to railway informatization and automation.

🌍IMPACT AND INFLUENCE

  • With a career marked by impactful research and innovations, Wentao’s work has significantly improved the accuracy and reliability of railway monitoring systems. His research on high-speed railway safety has provided robust frameworks for weather-related disaster management, as well as precise, automated security systems that enhance perimeter protection. These efforts have strengthened the resilience of railway infrastructure, making it more adaptable to adverse conditions and potential security threats.

🌟LEGACY AND FUTURE AND CONTRIBUTIONS

  • With his expertise and dedication to railway research, Wentao Li continues to push the boundaries of high-speed railway safety and intelligence. His innovative work in disaster monitoring, security detection, and environmental sensing will likely shape the future of railway safety standards and inspire ongoing advancements in railway technology.

📄Publications

  • “A Survey on Multi-Sensor Fusion Perimeter Intrusion Detection in High-Speed Railways”
    • Authors: Shi, T.; Guo, P.; Wang, R.; Fu, H.; Hu, H.
    • Journal: Sensors, 2024, 24(17), 5463
  • “Structure, Mechanical Properties and Water Vapor Corrosion Resistance of AlCrNbSiTiN High-Entropy Nitride Coatings Deposited by RF Magnetron Sputtering”
    • Authors: Wang, X.; Liu, J.; Liu, Y.; Chen, Y.; Yang, B.
    • Journal: Coatings, 2024, 14(8), 1006
  • “Improved Multi-Search Strategy A Algorithm to Solve Three-Dimensional Pipe Routing Design”*
    • Authors: Liu, C.; Wu, L.; Li, G.; Guo, J.; Li, W.
    • Journal: Expert Systems with Applications, 2024, 240, 122313
  • “Effect of Bias Voltage on Structure, Mechanical Properties, and High-Temperature Water Vapor Corrosion of AlCrNbSiTi High Entropy Alloy Coatings”
    • Authors: Wang, X.; Zeng, Z.; Wang, H.; Chen, Y.; Yang, B.
    • Journal: Coatings, 2023, 13(11), 1948
  • “A Novel Structural Damage Detection Method Using a Hybrid IDE–BP Model”
    • Authors: Mei, J.; Wu, L.; Chen, E.; Guo, J.; Li, W.
    • Journal: Knowledge-Based Systems, 2023, 273, 110606