Dongdong Liu | Fabrication and application of CVD diamond coatings | Best Researcher Award

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Dr. Dongdong Liu | Fabrication and application of CVD diamond coatings | Best Researcher Award

Dr. Dongdong Liu ,Shanghai Jiao Tong University, China

Dongdong Liu, is a Ph.D. candidate in the School of Mechanical Engineering at Shanghai Jiao Tong University (SJTU), one of China’s most prestigious research institutions. A direct-entry Ph.D. student, Dongdong is quickly emerging as a rising star in the field of advanced materials engineering, particularly in CVD (chemical vapor deposition) coatings and diamond tool technologies. He is mentored by Professor Fanghong Sun, a well-known expert in manufacturing and materials science.

Profile

Scopus

📘 Early Academic Pursuits

Dongdong began his academic journey with a B.Eng. in Mechanical and Electrical Engineering from the Nanjing University of Aeronautics and Astronautics (2017–2021), where he was recognized with the National Encouragement Scholarship (twice) and named both a University Outstanding Student and an Outstanding Graduate. His early achievements, including a second prize in a provincial mechanics competition, laid the foundation for his excellence in engineering and innovation.

🧑‍🔬 Professional Endeavors

Currently pursuing his Ph.D. since September 2021 at SJTU, Dongdong has led and co-led multiple major research projects. These include grants from the National Natural Science Foundation of China, international cooperative research, and industry-university collaboration projects. Notably, he has contributed to the design and industrial implementation of automated doping equipment for diamond coatings in cooperation with Mitsubishi (Japan)—a remarkable feat for a Ph.D. student.

🔬 Contributions and Research Focus

Dongdong’s research is centered on the fabrication and application of CVD coatings, especially diamond abrasive grains, doped/undoped single crystal diamond (SCD), and cutting and grinding tool technologies. His expertise includes simulation and experimental investigation of micro-edge diamond abrasive grains, the development of novel CVD-based grinding tools, and the design of high-performance doped diamond films. His innovations have applications in precision grinding of hard-brittle materials like SiC ceramics, quartz glass, and silicon wafers.

🌍 Impact and Influence

Despite still being a student, Dongdong’s research has already crossed academic and industrial boundaries. He has facilitated the industrialization of diamond coating technologies, a rare achievement at the doctoral level. His work bridges the gap between fundamental materials science and real-world engineering applications, contributing to sectors such as semiconductor manufacturing, automotive, and aerospace materials processing.

📚 Academic Cites

Dongdong has authored multiple first-author articles in high-impact journals, including:

  • Journal of Materials Research and Technology (IF: 6.2)

  • Journal of Manufacturing Processes (IF: 6.1)

  • Applied Surface Science (IF: 6.3)

  • Diamond and Related Materials (IF: 4.3)

  • Ceramics International (IF: 5.1)

These publications, combined with his participation in international symposia like ISAAT 2023 and 2024, have made his work visible to a global research community.

🧪 Research Skills

Dongdong brings a rare combination of theoretical depth and experimental mastery. His skills span:

  • CVD process simulation and optimization

  • Diamond doping technologies (B, N, Si, and multi-doping)

  • Advanced tool design and fabrication

  • Materials characterization

  • Finite element simulations of grinding mechanisms

His ability to translate complex scientific theories into functional industrial applications underscores his exceptional research acumen.

🎓 Teaching Experience

While not explicitly mentioned, his extensive project leadership, publication record, and conference presentations strongly imply mentorship and knowledge transfer skills, crucial for teaching and academic development roles in the future.

🏅 Awards and Honors

Dongdong has accumulated numerous accolades that reflect his academic excellence and innovation:

  • 🥈 2024 Silver Award (Team Leader), CICSIC Industry Track, Shanghai Division

  • 🎓 BYD Scholarship, 2024 (Industry-recognized)

  • 🏆 National Encouragement Scholarship, twice

  • 🥈 Second Prize, Provincial Mechanics Competition

  • 🌟 Outstanding Student & Graduate, Nanjing University of Aeronautics and Astronautics

These honors are a testament to his leadership, creativity, and technical excellence.

🚀 Legacy and Future Contributions

Dongdong Liu is poised to become a leading researcher and innovator in materials engineering and tool technology. His contributions to CVD-based diamond tool development, particularly in precision grinding and semiconductor processing, have already demonstrated industrial scalability and societal relevance. With his momentum, he is expected to contribute to next-generation manufacturing technologies, mentor future engineers, and bridge academic research with industrial implementation.

Top Publications

Simulation and experimental investigation of single CVD micro-edge diamond abrasive grain grinding

  • Authors: Liu D, Zhu H, Shen R, et al.
    Journal: Journal of Materials Research and Technology
    Year: 2025 (Accepted)

 Numerical simulation and experimental researches on different abrasive grain arrangements of monolayer   diamond grinding tools fabricated by HFCVD method

  • Authors: Liu D, Zhu H, Lu M, et al.
    Journal: Journal of Manufacturing Processes
    Year: 2024

 Fabrication and grinding performance of CVD diamond coated Ni-based brazed diamond grinding tools

  • Authors: Liu D, Zhu H, Shen R, et al.
    Journal: Journal of Manufacturing Processes
    Year: 2025 (Accepted)

 Optimization of deposition parameters for the growth of micro-edge diamond abrasive grains using HFCVD method

  • Authors: Liu D, Lu M, Zhang C, et al.
    Journal: Diamond and Related Materials
    Year: 2023

DFT calculations and experiments of oxidation resistance research on B, N, and Si multi-doped diamond films

  • Authors: Lu M, Liu D, Zhang C, et al.
    Journal: Applied Surface Science
    Year: 2023

Shiyu Liu | Engineering and Technology | Best Researcher Award

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Dr. Shiyu Liu | Engineering and Technology | Best Researcher Award

Lecturer and Postdoctoral researcher at Hebei University, China

Shiyu Liu is a dedicated researcher and lecturer at the College of Quality and Technical Supervision, Hebei University, with extensive experience in spectral detection and battery health monitoring using artificial intelligence methods. He holds a Ph.D. in Engineering from Yanshan University and has furthered his expertise as a visiting PhD student at the University of Huddersfield. Liu has contributed significantly to his field, publishing numerous articles in reputable journals and participating in various national research projects. His strong technical skills in big data analysis and machine learning complement his innovative research endeavors, earning him several prestigious awards and recognition as an excellent graduate. Liu’s commitment to advancing technology and addressing complex issues positions him as a leading figure in his areas of study.

Publication profile

Scopus Profile

Education Background

Shiyu Liu has an extensive educational background in engineering, with a focus on Instrument Science and Technology. He is currently pursuing a Ph.D. at Yanshan University, where he has been enrolled since September 2018, under the supervision of Shutao Wang. His research during this period has primarily centered on spectral detection and analysis using artificial intelligence methods. Liu also gained international experience as a visiting Ph.D. student at the University of Huddersfield from October 2022 to October 2023, where he focused on health monitoring of lithium-ion batteries. This combination of rigorous academic training and hands-on research experience positions him well within his field.

Research Experience

Shiyu Liu has over a decade of research experience, currently serving as a lecturer and postdoctoral researcher at the College of Quality and Technical Supervision at Hebei University since April 2014. He holds a Ph.D. in Engineering from Yanshan University, specializing in Instrument Science and Technology. His research primarily focuses on the application of artificial intelligence in spectral detection and battery health monitoring. Liu’s work includes capacity prediction and health monitoring of lithium-ion batteries, employing data-driven methods and electrochemical impedance spectroscopy. He has also researched spectral detection algorithms based on near-infrared spectroscopy, addressing challenges such as weak absorption intensity and high noise interference. His involvement in various national projects, coupled with an impressive publication record in reputable journals, highlights his significant contributions to advancing technology in his fields of expertise. Additionally, his experience as a visiting PhD student at the University of Huddersfield further broadens his research perspective and collaborative opportunities.

Teaching and Mentoring Experience

Shiyu Liu has accumulated substantial teaching and mentoring experience as a lecturer at the College of Quality and Technical Supervision, Hebei University, since April 2014. In this role, he has effectively delivered course content on Instrument Science and Technology, fostering a deep understanding of complex subjects among his students. Liu is dedicated to creating an engaging learning environment, employing innovative teaching methods to cater to diverse learning styles. Additionally, he has actively mentored undergraduate and graduate students, guiding them in their research projects and fostering their academic development. His commitment to student success is evident in the positive feedback he receives, reflecting his ability to inspire and motivate learners. Liu’s experience in teaching and mentoring has not only enhanced his pedagogical skills but also contributed to the academic growth of his students, preparing them for future challenges in the field.

Work Experience

Shiyu Liu has accumulated extensive work experience since April 2014, serving as a lecturer and postdoctoral researcher at the College of Quality and Technical Supervision at Hebei University. His academic journey includes pursuing a Ph.D. in Instrument Science and Technology at Yanshan University from September 2018 to January 2024, where he focused on spectral detection and analysis using artificial intelligence methods. Additionally, Liu gained valuable international exposure as a visiting PhD student at the University of Huddersfield from October 2022 to October 2023, specializing in battery health monitoring through artificial intelligence. His roles have enabled him to engage in various research projects, contributing to advancements in environmental pollution

Awards, Honours & Certificates

Shiyu Liu has received numerous awards and honors that reflect his academic excellence and research contributions. Notably, he was awarded the CSC Scholarship in July 2022 for his participation as a visiting PhD student. He has also been recognized as an “excellent graduate” of Hebei Province and Yanshan University in 2021, showcasing his outstanding academic performance. Additionally, Liu received a national scholarship for postgraduates in December 2020, along with several accolades in competitions, including a second prize in the third mathematical modeling competition for postgraduates in Hebei and a first prize in the national university students’ electrical math modeling competition organized by the Chinese Society for Electrical Engineering. His commitment to academic and extracurricular excellence is further evidenced by his recognition as a “three good student” at both the university and provincial levels. Overall, these awards and honors underscore Liu’s dedication, talent, and contributions to his field.

Publication Top Notes

  • State of Health Estimation of Lithium-Ion Batteries via Electrochemical Impedance Spectroscopy and Machine Learning
    • Authors: Liu, S., Wang, S., Hu, C., Zhao, X., Gu, F.
    • Year: 2024
    • Citations: 0
  • 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.
    • Year: 2023
    • Citations: 12
  • 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.
    • Year: 2023
    • Citations: 0
  • Markov Transform Field Coupled with CNN Image Analysis Technology in NIR Detection of Alcohols Diesel
    • Authors: Liu, S., Wang, S., Hu, C., Kong, D.
    • Year: 2023
    • Citations: 0
  • 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.
    • Year: 2022
    • Citations: 11

Conclusion

Shiyu Liu is an exemplary candidate for the Best Researcher Award, with a strong foundation in research, impressive academic credentials, and a significant contribution to his field through publications and projects. His innovative work in health monitoring and spectral analysis, combined with his technical skills and recognition within the academic community, make him a standout researcher. By addressing areas for improvement, particularly in interdisciplinary collaboration and public engagement, Liu can enhance his research impact and continue to be a leading figure in his field.