Dr. Kun-Ying Li | Sustainable Engineering | Best Researcher Award

Published on by Superior Awards

Dr. Kun-Ying Li | Sustainable Engineering | Best Researcher Award

Dr. Kun-Ying Li | National Chin-Yi University of Technology | Taiwan

Dr. Kun-Ying Li is an accomplished researcher in sustainable engineering and intelligent manufacturing, focusing on low-carbon technologies and energy-efficient machine tools. His research encompasses ISO14064-1:2018 greenhouse gas inventory, industrial energy-saving methods, intelligent thermal error analysis, cooling optimization, multi-objective optimization, and precision machinery design. His work emphasizes the integration of reliability engineering, applied mathematics, smart manufacturing systems, and computer-assisted engineering within the framework of Industry 4.0. He has contributed to several industry-academic collaboration projects aimed at optimizing cooling systems for multi-axis machine tools and implementing carbon inventory strategies in manufacturing transformation programs. These projects have involved partnerships with precision machinery and metal manufacturing companies, supported by national funding agencies. His expertise extends to developing innovative approaches for reducing energy consumption, enhancing process reliability, and improving the performance of advanced machine tools. Through a combination of technical insight and practical application, his research supports the transition toward intelligent, sustainable, and high-efficiency production systems that align with global goals for carbon reduction and green industry innovation. He has 220 citations by 151 documents, 29 published documents, and an h-index of 9, reflecting his consistent research contributions and growing academic influence in the fields of precision engineering and green manufacturing.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

  • Liu, Y. C., Li, K. Y., & Tsai, Y. C. (2021). Spindle thermal error prediction based on LSTM deep learning for a CNC machine tool. Applied Sciences, 11(12), 5444.

  • Li, K. Y., Luo, W. J., & Wei, S. J. (2020). Machining accuracy enhancement of a machine tool by a cooling channel design for a built-in spindle. Applied Sciences, 10(11), 3991.

  • Hsieh, M. C., Maurya, S. N., Luo, W. J., Li, K. Y., Hao, L., & Bhuyar, P. (2022). Coolant volume prediction for spindle cooler with adaptive neuro-fuzzy inference system control method. Sensors & Materials, 34, 28.

  • Li, K. Y., Luo, W. J., Hong, X. H., Wei, S. J., & Tsai, P. H. (2020). Enhancement of machining accuracy utilizing varied cooling oil volume for machine tool spindle. IEEE Access, 8, 28988–29003.

  • Li, K. Y., Maurya, S. N., Lee, Y. H., Luo, W. J., Chen, C. N., & Wellid, I. (2023). Thermal deformation and economic analysis of a multi-object cooling system for spindles with varied coolant volume control. The International Journal of Advanced Manufacturing Technology, 126(3), 1807–1821.

  • Maurya, S. N., Li, K. Y., Luo, W. J., & Kao, S. Y. (2022). Effect of coolant temperature on the thermal compensation of a machine tool. Machines, 10(12), 1201.

 

Mr. Leyan Ding | Engineering | Best Researcher Award

Published on by Superior Awards

Mr. Leyan Ding | Engineering | Best Researcher Award

Mr. Leyan Ding , Wuhan University , China.

Mr. Leyan Ding 🎓 is a dedicated Master’s student at Wuhan University 🏫, known for her passion for scientific discovery and innovation in advanced engineering and computational domains. With a growing academic footprint, she is engaged in impactful research 📊, contributing to scholarly journals and exploring interdisciplinary collaborations 🌐. Leyan has demonstrated excellence through various ongoing projects, showcasing a commitment to research-driven solutions 🔍. Her contributions reflect a clear focus on emerging technologies and academic rigor 📘. As a rising scholar, she is actively involved in professional development while maintaining ethical and intellectual integrity 🧠💼.

Professional Profile

Scopus

Education & Experience 

  • 🎓 Master’s Degree in progress at Wuhan University

  • 📅 Enrolled since 2019

  • 🔬 Participated in advanced research initiatives

  • 📘 Strong academic foundation in computational and engineering sciences

  • 🧪 Hands-on experience in scientific methodologies and lab-based projects

  • 💻 Exposure to industry-level tools and analytical platforms

  • 🌐 Active participant in university academic networks and events

Summary Suitability

Leyan Ding, a Master’s candidate at Wuhan University, is a promising young researcher demonstrating exceptional academic dedication and research potential. As an emerging talent in their field, Leyan has actively contributed to research innovation through active involvement in cutting-edge projects, scholarly publications, and academic collaborations. With a strong foundation in scientific inquiry and practical research methodologies, Leyan’s work aligns with the objectives of the Best Researcher Award, which recognizes outstanding early-career researchers committed to meaningful and high-impact contributions.

Professional Development

Mr. Leyan Ding 💼 is constantly evolving in her professional journey through research, knowledge exchange, and interdisciplinary engagement. She has contributed to collaborative research environments 🔄, worked with advanced modeling tools, and maintained a consistent academic record 📈. Her professional growth is marked by contributions to reputed journals 📚, ongoing patent work 🧾, and emerging consulting initiatives with academic institutions 🏛️. She’s also building connections through editorial opportunities and research forums 🌍. Leyan is an active member of professional bodies and takes part in global knowledge-sharing platforms to strengthen her academic and professional expertise 🧠🌟.

Research Focus

Leyan Ding’s 🔬 research focuses on cutting-edge developments in computational modeling, data analysis, and engineering systems integration ⚙️. She explores topics that blend scientific computing 🖥️, engineering principles 🏗️, and real-world problem solving 🌏. Her academic endeavors are directed toward impactful innovation, targeting improvements in technology performance and process optimization 📈. Her contributions span multiple disciplines, including fluid dynamics, machine learning applications, and system engineering 🔄. Leyan aims to develop scalable and efficient solutions that advance both theoretical understanding and practical application 🚀. Her focus aligns with future-ready research that bridges academia and industry 🌐.

Awards & Honors 

  • 🏅 Nominated for research excellence awards at Wuhan University

  • 🥇 Recognized for outstanding academic performance in graduate studies

  • 📜 Honored in university-led research symposiums

  • 🧑‍🔬 Participant in elite research training workshops and scientific forums

  • 🏆 Shortlisted for innovation-based student competitions

Publication Top Notes

  • Title: Feedback inertia control and energy-based inertia estimation for frequency response enhancement in V2G-enabled charging stations

  • Authors: Leyan Ding, Y. Liu, M. Zhang

  • Journal: International Journal of Electrical Power & Energy Systems

  • Volume: 145

  • Pages: 108526

  • Year: 2023

  • DOI: 10.1016/j.ijepes.2023.108526

  • Publisher: Elsevier

  • Indexing: SCI, Scopus

  • URL: https://doi.org/10.1016/j.ijepes.2023.108526

Conclusion

With a solid academic record, active research engagement, and evident potential for leadership in scholarly inquiry, Leyan Ding represents the qualities celebrated by the Best Researcher Award. Their commitment to research excellence, academic integrity, and meaningful contributions to the field make them a highly deserving nominee for this recognition.