Dr. Ying Li | Mechanical Properties | Best Researcher Award

Posted on by ScienceFather

Dr. Ying Li | Mechanical Properties | Best Researcher Award 

Dr. Ying Li, Wuhan university of technology, China

Ying Li is a researcher and technician at the School of Materials Science and Engineering, Wuhan University of Technology, with a strong background in composite materials and self-healing cementitious systems. She earned her Ph.D. in Materials Science and Engineering from Wuhan University of Technology in 2022 and holds a Bachelor’s degree in Composite Materials and Engineering from Wuhan Textile University. Her research focuses on thermal diagnostics, self-healing microcapsule systems, electromagnetic-controlled materials, and sustainable concrete technologies. Ying Li has played key roles in multiple enterprise-funded research projects involving cement production lines, steel slag pavements, and innovative concrete formulations. She has authored several high-impact publications in top journals like Construction and Building Materials and Journal of Building Engineering, with notable contributions to microencapsulated self-repairing agents and CO₂-cured cement materials. Her work demonstrates a commitment to advancing eco-efficient and intelligent construction materials through interdisciplinary approaches combining materials science, environmental engineering, and industrial application.

Professional Profile:

SCOPUS

Summary of Suitability: Dr. Ying Li – Best Researcher Award

Dr. Ying Li stands out as a dynamic and impactful researcher in the field of materials science and engineering, with a specialization in self-healing concrete materials, electromagnetic microcapsules, and carbon sequestration in cement-based systems. Her significant scholarly output, leadership in research projects, and practical contributions to industry mark her as an outstanding candidate for the Best Researcher Award.

🎓 Education

  • Doctoral Degree in Materials Science and Engineering
    Wuhan University of Technology (2016.09 – 2022.10)

  • Bachelor’s Degree in Composite Materials and Engineering
    Wuhan Textile University (2012.09 – 2016.06)

🧪 Work Experience & Research Projects

  • 👩‍🔬 Technician at School of Materials Science and Engineering, Wuhan University of Technology

  • 📊 Participated in multiple enterprise and provincial-level horizontal research projects, including:

    • 🏭 Thermal diagnosis of clinker production lines (Chongyang Changhua, Qinghai Huzhu, and Qinghai Hongyang)

    • 🧱 Self-repairing concrete via electromagnetic heating microcapsules

    • 🛣 Steel slag composite pavement performance

    • 🧪 Advanced fiber material platform project (Principal Investigator)

🏆 Representative Achievements & Awards

  • 📄 Published in top journals such as:

    • Construction and Building Materials

    • Journal of Building Engineering

    • Journal of Environmental Chemical Engineering

  • 🔬 Notable Research:

    • Developed microwave-ruptured microcapsules for self-healing concrete

    • Innovated nano-Fe₃O₄/paraffin encapsulated isocyanate systems for smart materials

    • Studied CO₂ curing and carbon sequestration in cementitious materials

🌟 Highlights

  • 🥇 Published multiple high-impact research papers with contributions as first and co-author

  • 🔧 Specializes in smart self-healing materials, cement chemistry, and sustainable construction technology

Publication Top Notes:

Effect of chelator on carbon sequestration and mechanical properties of CO2-cured cement pastes with different pore structures

Ms. Bailin Fan | High-Speed Impact Awards | Best Researcher Award

Posted on by ScienceFather

Ms. Bailin Fan | High-Speed Impact Awards | Best Researcher Award 

Ms. Bailin Fan, University of Science and Technology Beijing, China

Bailin Fan is a distinguished professor at the School of Mechanical Engineering, University of Science and Technology Beijing. He serves as a graduate tutor and head of practical teaching in the national teaching team. As the lead contributor to the nationally recognized “Xinhua Ideology and Politics” course in engineering drawing, he has helped establish two national-level projects and supported colleagues in winning national awards. He has taught 18 diverse courses, including mechanical manufacturing and automotive engineering, authored or contributed to 18 academic books, and earned recognition in five prominent magazines such as China Today. Prof. Fan has received seven awards in international and national competitions, holds 15 invention and utility model patents, and contributed to the development of five national standards. His research focuses on mechanical structural parts, intelligent perception in vehicles, and quality inspection in intelligent manufacturing. He has led and participated in several provincial, ministerial, and horizontal research projects. He holds positions on various national and international technical committees, including SAC/TC27 and IEC TC3. His societal honors include being named among the “Top Ten People in China” (2015), “Outstanding Worker” (2016), and “Art Leader” (2022). He has also been recognized as the “Most Beautiful Worker in the New Era” in 2024 and holds multiple consultative and editorial roles in influential Chinese publications and encyclopedias.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award – Prof. Bailin Fan

Prof. Bailin Fan is a highly accomplished academic and researcher in mechanical engineering whose broad spectrum of contributions makes him an outstanding candidate for the Best Researcher Award. With a career rooted in technical excellence, educational innovation, and applied engineering research, Prof. Fan’s achievements reflect leadership, innovation, and significant societal impact.

🎓 Education & Academic Background

  • 🎓 Likely holds advanced degrees in Mechanical or Automotive Engineering (specific degrees not mentioned in the biography).

  • 📚 Currently a Professor and Graduate Tutor at the School of Mechanical Engineering, University of Science and Technology Beijing.

💼 Work Experience

  • 🏫 Head of Practical Teaching in the National Teaching Team.

  • 📘 Taught 18 courses related to mechanical manufacturing, automotive engineering, and engineering drawing.

  • 📕 Edited 7 textbooks, contributed to 7 books, and authored 4 books.

  • 🧑‍🏫 Actively involved in curriculum innovation—“Xinhua Ideology and Politics” course awarded nationally.

  • 🛠️ Participated in 2 national projects as the main builder and supported others in winning national awards.

  • 🧪 Led or participated in:

    • 1 unveiling project

    • Several horizontal projects

    • 3 provincial and ministerial-level projects

🏆 Achievements

  • 📰 Featured in 5 magazines, including China Today.

  • 🥇 7 awards from international, provincial, and ministerial competitions.

  • 🧠 Holder of 15 invention patents and new utility models.

  • 📏 Contributed to the creation of 5 national standards.

  • 🔬 Research focus:

    • Invisible life of mechanical structural parts

    • Intelligent perception in vehicle structural parts

    • Intelligent manufacturing and quality inspection

🏅 Awards & Honors

  • 🧪 1 Metallurgical Science and Technology Award – China Iron and Steel Association

  • 🏆 2 First Prizes – Beijing Teaching Achievement Award (Ranked 5th)

  • 📖 2015: “Top Ten People in China” – Decision and Information Magazine

  • 🌟 2016: “Outstanding Worker” – Beijing ZOSE Observation International

  • 🖼️ 2022: “Art Leader” – Chinese Poetry, Calligraphy, and Painting Alliance

  • 📚 Featured in:

    • National Memory: Art and Homeland

    • Long Live the People – World Culture Publishing House

  • 📘 2023:

    • “Chief Consultant” – China’s Influential Figures Database, Celebrity Encyclopedia

    • “Specially Invited Review Expert” – Celebrity Encyclopedia Expert Committee

    • Honored as “Industry Influential Figure 2023”

    • Profiled in Monument of the Times – Moving Banner Figures of the New Era

  • 🧑‍🔧 2024: “Most Beautiful Worker in the New Era” – International May Day Celebration Committee

Publication Top Notes:

Intelligent vehicle lateral control based on radial basis function neural network sliding mode controller