Kuo Liu | Engineering | Best Researcher Award

Prof. Kuo Liu | Engineering | Best Researcher Award

Deputy director at Dalian University of Technology, China

Liu Kuo is a distinguished professor and doctoral supervisor at the School of Mechanical Engineering, Dalian University of Technology. He serves as the deputy director of the Intelligent Manufacturing Longcheng Laboratory and has been recognized as a young top talent in China’s “Ten Thousand People Plan.” He has also been honored under the Liaoning Province “Xingliao Talent Plan” and is regarded as a high-end talent in Dalian City. In addition to his academic and administrative roles, Liu Kuo holds significant positions in national standardization committees. He is a member of the National Industrial Machinery Electrical System Standardization Technical Committee (TC231) and the National Metal Cutting Machine Tool Standard Committee Five-Axis Machine Tool Evaluation Standards Working Group (TC22/WG3). Furthermore, he serves as a review expert for the Chinese Mechanical Engineering Society on “Machine Tool Equipment Manufacturing Maturity.” His expertise spans precision maintenance theory, real-time thermal error compensation, intelligent monitoring technology, and performance optimization for CNC machine tools. With extensive contributions to research, Liu Kuo has led over 20 major scientific projects and has published more than 80 high-impact papers. His work has resulted in numerous patents and software copyrights, reinforcing his status as a leading researcher in intelligent manufacturing and CNC technology.

Professional Profile

Education

Liu Kuo has pursued an extensive academic journey in mechanical engineering, culminating in his current role as a professor at Dalian University of Technology. He obtained his bachelor’s, master’s, and doctoral degrees in Mechanical Engineering from prestigious institutions in China. His academic training provided a strong foundation in advanced manufacturing, precision engineering, and intelligent monitoring systems. Throughout his education, Liu Kuo specialized in CNC machine tools, focusing on precision maintenance theory and real-time error compensation. His doctoral research was instrumental in developing innovative methodologies for optimizing machine tool performance. As a committed scholar, he actively engaged in interdisciplinary studies, integrating mechanical design, automation, and artificial intelligence into manufacturing processes. His education was complemented by extensive hands-on research, allowing him to develop groundbreaking solutions for intelligent manufacturing. Additionally, Liu Kuo has participated in international academic exchange programs, collaborating with leading universities and research institutions worldwide. His strong educational background has been pivotal in shaping his contributions to CNC technology and intelligent manufacturing. Through his academic journey, he has mentored numerous graduate students, fostering the next generation of researchers in mechanical engineering. His commitment to education continues to inspire innovation in the field of precision manufacturing and intelligent machine tool systems.

Professional Experience

Liu Kuo has built an illustrious career in mechanical engineering, particularly in CNC machine tool research and intelligent manufacturing. Currently a professor and doctoral supervisor at the School of Mechanical Engineering at Dalian University of Technology, he also serves as the deputy director of the Intelligent Manufacturing Longcheng Laboratory. His expertise has led him to significant roles in national standardization efforts, including membership in the National Industrial Machinery Electrical System Standardization Technical Committee (TC231) and the National Metal Cutting Machine Tool Standard Committee Five-Axis Machine Tool Evaluation Standards Working Group (TC22/WG3). He has been instrumental in defining industry standards and improving machine tool manufacturing processes. Over the years, Liu Kuo has led numerous high-impact research projects, including those funded by the National Natural Science Foundation and the national key research and development plans. His work extends beyond academia, as he collaborates with industrial leaders to implement intelligent monitoring and real-time thermal error compensation solutions in CNC machines. His professional contributions have significantly advanced China’s intelligent manufacturing capabilities, positioning him as a thought leader in the field. With a career spanning research, teaching, and policy-making, Liu Kuo continues to influence the evolution of modern manufacturing technologies.

Research Interests

Liu Kuo’s research interests are centered on advancing intelligent manufacturing and optimizing CNC machine tool performance. His primary focus areas include precision maintenance theory and technology for CNC machine tools, real-time thermal error compensation, intelligent monitoring technology, and performance testing and optimization. His research aims to improve the reliability, efficiency, and accuracy of CNC machines by integrating artificial intelligence and real-time diagnostics into the manufacturing process. One of his notable contributions is the development of intelligent monitoring systems that enable predictive maintenance and automated fault detection in machine tools. He has led multiple high-profile research projects, including key initiatives under the National Natural Science Foundation and national key research and development programs. His work not only advances academic knowledge but also has practical implications for industrial applications, leading to improved productivity and cost savings in manufacturing. Additionally, Liu Kuo’s interdisciplinary approach involves integrating computational modeling, sensor technology, and data-driven analytics to enhance CNC machine efficiency. His research has gained international recognition, contributing significantly to the evolution of smart manufacturing systems. By continuously pushing the boundaries of CNC technology, he is helping to shape the future of intelligent and precision-driven manufacturing industries.

Research Skills

Liu Kuo possesses a diverse set of research skills that have contributed to significant advancements in CNC machine tools and intelligent manufacturing. His expertise includes precision maintenance theory, real-time thermal error compensation, intelligent monitoring, and machine tool performance optimization. He is adept at integrating artificial intelligence with manufacturing processes, enhancing the efficiency and reliability of CNC systems. His research methodologies involve computational modeling, sensor-based diagnostics, and machine learning applications in predictive maintenance. Over the years, Liu Kuo has led more than 20 major research projects funded by prestigious organizations, demonstrating his strong project management and problem-solving skills. He has successfully authored over 80 SCI/EI-indexed papers and secured more than 50 Chinese invention patents, 8 American invention patents, and 15 software copyrights. His technical expertise extends to developing industry standards for CNC machine tools, collaborating with national committees, and formulating guidelines for intelligent manufacturing systems. With a strong foundation in mechanical engineering, automation, and data analytics, he continues to pioneer innovative research that bridges academia and industry. His extensive research skills have made him a leading figure in advancing precision engineering and smart manufacturing technologies worldwide.

Awards and Honors

Liu Kuo’s contributions to mechanical engineering and intelligent manufacturing have been recognized through numerous prestigious awards and honors. He has been named a young top talent under China’s “Ten Thousand People Plan,” a highly competitive program aimed at fostering top-tier researchers. Additionally, he has been selected for the Liaoning Province “Xingliao Talent Plan,” which acknowledges outstanding professionals in engineering and technology. His recognition as a high-end talent in Dalian City further underscores his influence in the field. Beyond these honors, Liu Kuo has received multiple awards for his groundbreaking research in CNC machine tools and precision manufacturing. His patents and scientific publications have earned national and international acclaim, contributing to advancements in intelligent machine tool systems. His role in national standardization committees highlights his leadership in shaping the future of CNC technology. Through his dedication to research, innovation, and knowledge dissemination, he has significantly impacted China’s industrial and academic landscapes. Liu Kuo’s achievements demonstrate his commitment to excellence and his continuous pursuit of cutting-edge solutions in mechanical engineering and manufacturing.

Conclusion

Liu Kuo is a highly accomplished professor and researcher whose contributions have significantly advanced CNC machine tool technology and intelligent manufacturing. His work in precision maintenance, real-time error compensation, and intelligent monitoring has positioned him as a leader in mechanical engineering. As a professor at Dalian University of Technology and deputy director of the Intelligent Manufacturing Longcheng Laboratory, he plays a crucial role in shaping future advancements in manufacturing technology. His extensive portfolio of research projects, patents, and scientific publications underscores his dedication to innovation. Recognized as a young top talent in China, he has received numerous prestigious awards and honors for his contributions. His leadership in national standardization committees further highlights his influence in the field. By integrating artificial intelligence and real-time monitoring into CNC machines, Liu Kuo continues to revolutionize intelligent manufacturing. His research and expertise bridge the gap between academia and industry, fostering technological advancements that drive economic growth. As he continues to push the boundaries of precision engineering, Liu Kuo remains a key figure in the development of cutting-edge manufacturing solutions. His work not only enhances industrial efficiency but also paves the way for the future of smart manufacturing.

Publication Top Notes

  1. Title: Characteristics of time series development and formation mechanism of icing interface strain under three-dimensional freezing conditions

    • Authors: L. Zeng, Lingqi; H. Liu, Haibo; H. Zhang, Hao; K. Liu, Kuo; Y. Wang, Yongqing
    • Year: 2025
  2. Title: Research on precision machining for ultra-thin structures based on 3D in-situ ice clamping

    • Authors: L. Zeng, Lingqi; H. Liu, Haibo; H. Zhang, Hao; K. Liu, Kuo; Y. Wang, Yongqing
    • Year: 2025
  3. Title: Cryogenic fluid labyrinth sealing characteristics considering cavitation effect

    • Authors: L. Han, Lingsheng; Y. Cheng, Yishun; X. Duan, Xinbo; K. Liu, Kuo; Y. Wang, Yongqing
    • Year: 2025
  4. Title: Defect formation mechanism in the shear section of GH4099 superalloy honeycomb under milling with ice fixation clamping

    • Authors: S. Jiang, Shaowei; D. Sun, Daomian; H. Liu, Haibo; K. Liu, Kuo; Y. Wang, Yongqing
    • Year: 2025
  5. Title: Multi-objective topology optimization for cooling element of precision gear grinding machine tool

    • Authors: C. Ma, Chi; J. Hu, Jiarui; M. Li, Mingming; X. Deng, Xiaolei; S. Weng, Shengbin
    • Year: 2025
    • Citations: 4
  6. Title: A semi-supervised learning method combining tool wear laws for machining tool wear states monitoring

    • Authors: M. Niu, Mengmeng; K. Liu, Kuo; Y. Wang, Yongqing
    • Year: 2025
    • Citations: 1
  7. Title: Influence of feed entrance angle on transverse tearing burr formation in the milling of superalloy honeycomb with ice filling constraint

    • Authors: S. Jiang, Shaowei; H. Liu, Haibo; Y. Zuo, Yueshuai; Y. Wang, Yongqing; S.Y. Liang, Steven Y.
    • Year: 2024
  8. Title: Hole position correction method for robotic drilling based on single reference hole and local surface features

    • Authors: T. Li, Te; B. Liang, Bochao; T. Zhang, Tianyi; K. Liu, Kuo; Y. Wang, Yongqing
    • Year: 2024
  9. Title: Modeling and compensation of small-sample thermal error in precision machine tool spindles using spatial–temporal feature interaction fusion network

    • Authors: Q. Chen, Qian; X. Mei, Xuesong; J. He, Jialong; J. Zhou, Jianqiang; S. Weng, Shengbin
    • Year: 2024
    • Citations: 38
  10. Title: A tool wear monitoring approach based on triplet long short-term memory neural networks

  • Authors: B. Qin, Bo; Y. Wang, Yongqing; K. Liu, Kuo; M. Niu, Mengmeng; Y. Jiang, Yeming
  • Year: 2024

 

Jiakun Zhu | | Engineering | Best Researcher Award

Dr. Jiakun Zhu | Engineering | Best Researcher Award

Teaching Assistant,  College of Post and Telecommunication of WIT,  China

Jiakun Zhu is a promising researcher in the field of Civil Engineering with a strong academic background, holding both a Bachelor’s and Ph.D. from Huazhong University of Science and Technology. His research focuses on materials science, nanotechnology, and engineering applications, reflected in his diverse publications in prestigious journals like ACS Applied Materials & Interfaces and Analytical Chemistry. Zhu has contributed to cutting-edge research on dielectric elastomers, hydrogels, and lithium-ion batteries, showcasing his expertise across interdisciplinary fields. His work has been widely cited, and he has taken a leadership role as a corresponding author on a 2024 publication, further establishing his prominence in the research community. Currently employed at the College of Post and Telecommunication of WIT, Zhu continues to make significant strides in engineering research. His growing list of accomplishments positions him as a strong candidate for the Research for Best Researcher Award, with the potential for continued impact in his field.

Profile

Education 

Jiakun Zhu has an impressive academic background rooted in Civil Engineering, having completed both his Bachelor’s and Ph.D. degrees at Huazhong University of Science and Technology (HUST), one of the leading institutions in China. He earned his Bachelor’s degree in 2015, laying a strong foundation in engineering principles. Motivated to pursue advanced research, Zhu continued his academic journey at HUST, where he earned his Ph.D. in 2021. His doctoral studies enabled him to specialize in complex areas such as dielectric elastomers and nanotechnology, equipping him with the skills necessary to contribute to groundbreaking research in the field of civil engineering. HUST’s rigorous academic environment and Zhu’s research focus on cutting-edge materials science have significantly shaped his expertise. This robust educational background, combined with his research experience, places him in an excellent position to excel as a leading researcher in civil engineering and related interdisciplinary fields.

Professional Experience

Jiakun Zhu has established himself as a dedicated researcher in Civil Engineering, with a focus on the mechanical behavior of advanced materials. Currently serving at the College of Post and Telecommunication of WIT, Zhu’s professional experience is marked by significant contributions to materials science, particularly in dielectric elastomers, hydrogels, and nanotechnology. His work on in-situ transmission electron microscopy has advanced understanding of lithium-ion battery materials, while his expertise in polymer chain entanglements and finite extensibility has influenced the development of novel hydrogels. As a corresponding author, Zhu has demonstrated leadership in collaborative research, contributing to journals with high impact factors. His interdisciplinary approach, spanning civil engineering and applied materials science, reflects a professional career committed to innovation and solving complex engineering challenges. Zhu’s ability to bridge theoretical research with practical applications marks him as an asset to the engineering and materials science community.

Research Interests

Jiakun Zhu’s research interests lie at the intersection of civil engineering, materials science, and nanotechnology. His work focuses on the mechanical behavior and stability of advanced materials, particularly dielectric elastomers and hydrogels, which are crucial for developing flexible and durable engineering structures. Zhu is also deeply invested in understanding the effects of polymer chain entanglements and finite extensibility on the mechanical performance of these materials, which has significant implications for their application in smart materials and soft robotics. Additionally, his research extends to the field of energy storage, where he investigates the chemical and structural evolution of nanomaterials in lithium-ion batteries. Zhu’s interdisciplinary approach allows him to address both theoretical challenges and practical applications, contributing to advancements in materials engineering, energy storage, and sustainable infrastructure. His ongoing work aims to explore the potential of engineered nanocomposites in marine environments, further broadening the scope of his research interests.

Research Skills

Jiakun Zhu demonstrates exceptional research skills through his ability to address complex problems in civil engineering and materials science. His expertise spans various domains, including the mechanical behavior of hydrogels, dielectric elastomers, and lithium-ion batteries, showcasing his versatility. Zhu’s research on the influence of polymer chain entanglements and finite extensibility on mechanical stability illustrates his capability to merge theoretical analysis with experimental techniques. Additionally, his proficiency in using advanced tools, such as In-Situ Transmission Electron Microscopy, highlights his technical acumen. His role as a corresponding author reflects strong leadership and collaboration in multi-disciplinary research. Moreover, Zhu’s work has been published in prestigious journals with high impact factors, such as ACS Applied Materials & Interfaces and Analytical Chemistry, further underscoring the significance and rigor of his contributions. His innovative approach, combined with technical expertise, positions him as a highly skilled researcher making meaningful advancements in his field.

Awards and Honors

Jiakun Zhu has been recognized for his outstanding contributions to civil engineering and materials science. His research achievements have earned him several prestigious awards and honors, highlighting his commitment to academic excellence and innovation. He was honored with the “Outstanding Ph.D. Dissertation Award” from Huazhong University of Science and Technology in 2021, acknowledging the groundbreaking nature of his doctoral research on dielectric elastomers and hydrogels. Zhu’s work has also been recognized internationally, as evidenced by his publications in top-tier journals like ACS Applied Materials & Interfaces and Analytical Chemistry, both of which have significantly advanced the understanding of nanotechnology and energy storage materials. Additionally, Zhu has been invited to present his findings at numerous international conferences, further solidifying his reputation in the research community. His leadership as a corresponding author in recent publications showcases his growing influence in the field. These accolades underscore his potential for continued success and his suitability for further recognition in the form of research awards.

Conclusion 

Jiakun Zhu’s educational pedigree, professional field, and an impressive list of high-impact publications make him a strong candidate for the Research for Best Researcher Award. His diverse research contributions in materials science, civil engineering, and nanotechnology position him as an innovative scholar with the potential to make significant future advances. The recognition Zhu has garnered thus far through his publications suggests he is both an established and emerging leader in his field.

Publication Top Notes

  1. “Effects of entanglements and finite extensibility of polymer chains on the mechanical behavior of hydrogels”
    • Authors: Jun Luo, Jiakun Zhu
    • Year: 2018
    • Journal: Acta Mechanica
    • DOI: 10.1007/S00707-017-2060-8
    • Citations: Check Web of Science for updated citation count
    • WOSUID: WOS:000430184900015
  2. “Snap-through instability analysis of dielectric elastomers with consideration of chain entanglements”
    • Authors: Zhongmin Xiao, Jun Luo, Jiakun Zhu
    • Year: 2018
    • Journal: Materials Research Express
    • DOI: 10.1088/2053-1591/AAC6FE
    • Citations: Check Web of Science for updated citation count
    • WOSUID: WOS:000434485600004
  3. “Bending gel beam with consideration of entanglements and finite extensibility”
    • Authors: Jiakun Zhu
    • Year: 2018
    • Journal: EPL (Europhysics Letters)
    • Citations: Check Web of Science for updated citation count
  4. “Effect of entanglements on the electromechanical stability of dielectric elastomers”
    • Authors: Jun Luo, Jiakun Zhu
    • Year: 2017
    • Journal: EPL (Europhysics Letters)
    • DOI: 10.1209/0295-5075/119/26003
    • Citations: Check Web of Science for updated citation count
    • WOSUID: WOS:000414715000014
  5. “Ionic Conduction in Composite Polymer Electrolytes: Case of PEO

    Composites”

    • Authors: Jiakun Zhu
    • Year: (No year provided; more information required)
  6. “Ultrahigh Malleability of the Lithiation-Induced LixSi Phase”
    • Authors: Jiakun Zhu
    • Year: (No year provided; more information required)