Associate professor at Hubei University of Technology,China
Publication Profile
Scopus
📚 Early Academic Pursuits
Xixing Li demonstrated an early aptitude for mechanical engineering, completing his B.S. in Mechanical Engineering and Automation in 2011 from the University of Jinan. He pursued advanced studies at Wuhan University of Technology, earning an M.S. in Mechanical Engineering in 2013. His dissertation focused on the transformation of customer need information into actionable models for textile machinery enterprises, showcasing his interest in integrating customer-centric processes with mechanical engineering principles. Continuing at Wuhan University, he completed his Ph.D. in Mechanical Engineering in 2017, under the supervision of Prof. Shunsheng Guo. His dissertation tackled the challenges of production scheduling and optimization in textile machinery manufacturing, laying the foundation for his future research.
👨🏫 Professional Endeavors
Xixing Li embarked on his teaching career as a Lecturer at the School of Mechanical Engineering, Hubei University of Technology, in 2017. His dedication and expertise earned him a promotion to Associate Professor in 2020, marking a significant milestone. In 2023, he expanded his professional reach by joining Ningbo University and Ningbo Cixing Co., Ltd., as a Postdoctoral Fellow, where he continues to blend academic research with industrial applications.
🧠 Contributions and Research Focus
Li’s research spans optimization algorithms, production scheduling, and supply chain management, with applications in flexible job shop scheduling, green manufacturing, and fault diagnosis. He has authored over 35 high-impact journal articles in fields ranging from manufacturing systems to intelligent fault diagnosis. Notable works include innovative methods in multi-objective optimization, artificial intelligence applications in manufacturing, and fault detection using YOLOv5s-GC for surface defects. His studies bridge theoretical advancements with practical industrial solutions, driving progress in modern manufacturing.
🏆 Accolades and Recognition
Xixing Li’s publications in leading journals such as the Journal of Manufacturing Systems, Journal of Cleaner Production, and Tsinghua Science and Technology have earned widespread acclaim. His innovative approaches in manufacturing scheduling and optimization algorithms have not only advanced academic discourse but also provided actionable solutions for industrial challenges. His ongoing postdoctoral work continues to attract recognition in the research community.
🌍 Impact and Influence
Li’s contributions have had a transformative impact on the fields of industrial engineering and manufacturing systems. His focus on integrating green scheduling and intelligent fault diagnosis reflects his commitment to sustainable and efficient production methods. By bridging academia and industry, he has influenced both educational practices and industrial processes, inspiring peers and students alike.
🌟 Legacy and Future Contributions Highlight
As a dedicated educator, researcher, and innovator, Xixing Li is set to leave a lasting legacy in mechanical engineering. His work continues to inspire advancements in smart manufacturing, sustainable practices, and fault-tolerant systems. With his expanding collaborations and ongoing postdoctoral research, his future contributions are poised to further shape the global manufacturing landscape.