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. Yongrong Zhou | Smart Grid Systems | Best Researcher Award

Published on by Superior Awards

Mr. Yongrong Zhou | Smart Grid Systems | Best Researcher Award

Mr. Yongrong Zhou | NARI Group Co., Ltd. | China

Mr. Yongrong Zhou is an accomplished engineer specializing in power systems at NARI Group Company Limited in Nanjing. He earned his Bachelor of Science degree in Electrical Engineering from Southeast University in Nanjing and has since built a strong career in research, development, and engineering applications within the power sector. His expertise spans power system analysis, automation, testing, and renewable energy integration, contributing to the advancement of smart grid technologies and protection systems. With years of practical and research experience, he has played an integral role in developing innovative solutions that enhance the efficiency, reliability, and sustainability of modern power systems.

Professional Profile

Scopus

Education and Experience

Mr. Yongrong Zhou completed his Bachelor of Science degree in Electrical Engineering at Southeast University in Nanjing. Following his graduation, he began his professional journey at NARI Group Company Limited, where he continues to serve as an engineer. Over the years, he has gained extensive experience in the areas of power system research, design, and engineering applications, particularly focusing on automation, system testing, and renewable energy integration. His work has involved contributing to several major projects in smart grid development, ensuring his expertise aligns with the growing needs of modern and sustainable power infrastructure.

Summary Suitability

 

Mr. Yongrong Zhou is a highly suitable candidate for the Best Researcher Award due to his remarkable contributions to the field of electrical power systems. With a strong academic foundation, holding a Bachelor’s degree in Electrical Engineering from Southeast University in Nanjing, he has developed extensive expertise as an engineer at NARI Group Company Limited. His career is defined by a dedication to advancing research, development, and engineering applications that address critical challenges in modern power networks.

Professional Development

Mr. Yongrong Zhou has consistently engaged in professional development to expand his technical expertise and leadership in power systems engineering. At NARI Group Company Limited, he has contributed to advanced projects in smart grid technologies, system protection, and renewable integration, which has sharpened his ability to bridge theory with practical applications. He has participated in research collaborations and technical workshops, continuously upgrading his knowledge in automation, system testing, and advanced engineering practices. His professional growth reflects a commitment to advancing sustainable energy solutions while maintaining high standards of efficiency, safety, and reliability in modern power systems.

Research Focus 

Mr. Yongrong Zhou conducts research in the category of Electrical Power Systems and Smart Grids. His focus includes power system analysis, automation technologies, and the integration of renewable energy sources into the grid. He is particularly interested in advancing power system protection and testing methods, ensuring stability and resilience in modern infrastructures. His work contributes to the development of smart grid solutions that enhance operational efficiency, reduce environmental impact, and support sustainable energy transitions. By aligning his research with industry needs, he plays a vital role in addressing challenges related to reliability, flexibility, and innovation in next-generation power systems.

Awards and Honors

Mr. Yongrong Zhou has contributed significantly to smart grid development and renewable energy integration projects, earning recognition within his organization and professional community. While specific awards and honors have not been publicly listed, his career reflects consistent achievement in leading engineering applications and research that support the modernization of power systems. His involvement in key projects has positioned him as a trusted professional in advancing power system automation, testing, and protection. These contributions highlight his dedication to technical excellence and his role in driving forward innovations that strengthen the future of power infrastructure.

Publication Top Notes

  • Title: Research on Fault Detection Technology for Direct Current Side Cables of Inverters in Power Network
    Year: 2025

Conclusion

In recognition of his deep technical expertise, impactful research contributions, and commitment to innovation in sustainable energy systems, Mr. Yongrong Zhou stands out as an outstanding candidate for the Best Researcher Award. His work continues to shape the future of smart grids and renewable energy integration, making him a valuable leader in the global power systems community.