Associate professor at Institute of Artificial Intelligence, Donghua University, China
Dr. Youlong Lyu is an associate professor at the Institute of Artificial Intelligence, Donghua University. With a strong background in intelligent production, scheduling, and quality control, he has contributed significantly to the field of artificial intelligence applications in industrial settings. He has led multiple national and municipal research projects focused on optimizing manufacturing processes, integrating AI into production systems, and improving efficiency through data-driven methodologies. His expertise spans across various aspects of industrial AI, from smart healthcare to intelligent scheduling systems, making a notable impact in both academic and practical applications.
Profile
Scopus
Education
Dr. Lyu earned his doctoral degree from Shanghai Jiao Tong University, where he specialized in intelligent manufacturing and AI-driven optimization. His academic journey has been marked by a deep exploration of machine learning, genetic algorithms, and big data analytics, which have fueled his research into enhancing production processes. His educational background has equipped him with the technical and analytical skills necessary to advance AI applications in industrial and manufacturing domains.
Experience
Dr. Lyu has a wealth of experience in AI-driven industrial applications, having undertaken pivotal roles in numerous research projects. As a principal investigator, he has spearheaded national and municipal initiatives aimed at enhancing workshop scheduling, production line efficiency, and aerospace product assembly. His work in intelligent control systems and data-driven decision-making has led to the development of innovative methodologies for optimizing manufacturing processes. Additionally, he has played a crucial role in consulting for industry projects, particularly in the aerospace sector, where his expertise in simulation and optimization has been instrumental in improving production line operations.
Research Interests
Dr. Lyu’s research interests lie at the intersection of artificial intelligence, smart manufacturing, and industrial optimization. He focuses on intelligent production scheduling, AI-driven quality control, and big data applications in manufacturing. His work seeks to bridge the gap between theoretical AI models and practical industrial applications, leveraging machine learning algorithms, genetic regulatory networks, and deep reinforcement learning to optimize complex manufacturing processes. Additionally, he has contributed to research in smart healthcare, applying AI techniques to enhance medical imaging and diagnostic accuracy.
Awards
Dr. Lyu’s contributions to AI in industrial applications have been widely recognized. He has received multiple grants from prestigious institutions, including the Natural Science Foundation of China and the Shanghai Municipal Commission of Science and Technology. His work has also been acknowledged through awards in AI research and industrial big data analytics. As a dedicated scholar, he continues to push the boundaries of AI applications in manufacturing, earning accolades for his innovative research and impactful contributions to the field.
Publications
Zuo L, Zhang J, Lyu Y, et al. Multi-graph attention temporal convolutional network-based radius prediction in three-roller bending of thin-walled parts. Advanced Engineering Informatics, 2025. (Cited by X articles)
Yang B, Zhang J, Lyu Y, et al. Automatic computed tomography image segmentation method for liver tumor. Quantitative Imaging in Medicine and Surgery, 2025. (Cited by X articles)
Zhang J, Yang B, Lyu Y. Multi-objective optimization based robotic path planning for CT data reconstruction. Journal of Radiation Research and Applied Sciences, 2024. (Cited by X articles)
Lyu Y, Zhang J, Zuo L. Genetic regulatory network-based optimization of master production scheduling. International Journal of Bio-Inspired Computation, 2022. (Cited by X articles)
Lyu Y, Ji Q, Liu Y, Zhang J. Data-driven sensitivity analysis of contact resistance for fuel cells. Measurement and Control, 2020. (Cited by X articles)
Lyu Y, Zhang J. Genetic regulatory network-based method for sequencing in mixed-model assembly lines. Mathematical Biosciences and Engineering, 2019. (Cited by X articles)
Lyu Y, Qin W, Yang J, Zhang J. Adjustment mode decision using support vector data description. Industrial Management & Data Systems, 2018. (Cited by X articles)
Conclusion
Dr. Youlong Lyu’s research and contributions in AI-driven industrial optimization have made significant strides in intelligent manufacturing and quality control. His extensive experience in leading research projects, publishing in high-impact journals, and developing innovative AI applications has solidified his position as a leading expert in industrial artificial intelligence. His commitment to advancing smart manufacturing and AI-integrated production systems continues to drive progress in the field, setting new benchmarks for AI applications in industrial settings.