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

Mr. Zhongzhi Li, Fudan University, China

Zhongzhi Li, is a male graduate student specializing in Aeronautics and Astronautics at Fudan University, where he maintains a GPA of 3.41/4.0, ranking 1st among 45 students. His academic journey began at Shenyang Aerospace University, where he earned a Bachelor’s degree in Computer Science and Technology, achieving an impressive GPA of 93/100 and ranking 1st out of 155. Zhongzhi has published three first-author papers in SCI-indexed journals and has applied for a patent, reflecting his research focus on time series analysis. He has received several scholarships, including the National Scholarship and the Zhang Mingwei Inspirational Scholarship. His practical experience includes internships as an AI Engineer Intern at Huawei Technologies, where he developed predictive models for cloud services, and as an Algorithm Intern at Gotion High-tech, where he created algorithms for battery fault prediction with high accuracy. Zhongzhi also served as a student assistant at Fudan University’s Party Building Service Center and currently leads the Graduate Student Union’s Practice Department. In addition to his academic pursuits, he is an avid sports enthusiast, enjoying basketball, volleyball, and running, and has participated in several marathons, including the 2022 Shanghai Half Marathon.

Summary of Suitability for the Best Researcher Award: Zhongzhi Li

Academic Excellence and Research Experience: Zhongzhi Li demonstrates a strong academic foundation and expertise in both time series analysis and fault detection in various engineering applications. His achievements at Fudan University, where he ranks 1st out of 45 peers with a GPA of 3.41/4.0, along with his numerous scholarships (National Scholarship, Zhang Mingwei Inspirational Scholarship, etc.), reflect his academic dedication and capabilities. His undergraduate performance was equally impressive, ranking 1st out of 155 students at Shenyang Aerospace University.

Education

Fudan University
Master of Science in Aeronautics and Astronautics
Duration: September 2022 – June 2025

GPA: 3.41/4.0

Rank: 1/45

Scholarships: National Scholarship, Freshman Scholarship, Zhang Mingwei Inspirational Scholarship, Zhang Yongming Scholarship

Shenyang Aerospace University
Bachelor of Science in Computer Science and Technology
Duration: September 2018 – June 2022

GPA: 93/100

Rank: 1/155

Scholarships: National Scholarship, “Top Ten Figures of the Year” at SAU, Six Academic Excellence Scholarships, Enterprise Scholarships

Work Experience

Huawei Technologies Co., Ltd.
AI Engineer Intern, Huawei Cloud Algorithm Innovation Lab
Duration: July 2023 – August 2023

Analyzed current usage data on Huawei Cloud, visualizing trends in VM core counts and types using stacked area charts.

Developed a multimodal XAI predictive model for VM request sequence forecasting, integrating large-scale semantic information. Utilized an improved Transformer-based algorithm, achieving less than 10% prediction error on monthly and yearly scales.

Gotion High-tech Co., Ltd.
Algorithm Intern, Big Data Engineering Department
Duration: September 2022 – March 2023

Developed supervised and unsupervised algorithms for predicting thermal runaway faults in lithium and ternary lithium batteries, achieving detection accuracy above 95%.

Proposed an improved thermal runaway detection algorithm using Stacking, achieving nearly 100% accuracy, which was successfully deployed on Alibaba Cloud PAI.

Dongguan Securities Co., Ltd.
Research Intern, Quantitative Investment Department
Duration: May 2022 – August 2022

Managed FTP data downloads (30GB) using verification scripts to tackle large data volume and speed limits.

Conducted stock data preprocessing and historical data analysis with Python and C++. Practiced basic quantitative investment strategies, including dual moving average, multi-factor stock selection, Bollinger Bands, and PEG strategies.

Fudan University Party Building Service Center
Student Assistant
Duration: September 2022 – July 2023

Fudan University Department of Aeronautics and Astronautics
Head of Graduate Student Union Practice Department / Office Assistant
Duration: September 2023 – September 2024