Special Session: Computer Intelligent Manufacturing Technology

This topic is grounded in the essence of manufacturing, closely aligned with intelligent characteristics, focusing on manufacturing processes and equipment as the core. It emphasizes the in-depth application and integrated innovation of artificial intelligence (AI) in the field of computer numerical control (CNC) manufacturing. The core areas of discussion include: fundamental processes and key technologies of CNC manufacturing; embodied intelligent technologies in manufacturing scenarios; AI-driven motor control and multi-axis coordination algorithms; how industrial Internet of Things (IIoT) communication protocols for complex systems can meet AI's requirements for real-time and reliable data interaction; intelligent trajectory planning technology; digital twins and computer simulation; as well as AI-driven virtual validation, predictive maintenance, and process optimization.

Topics

• Intelligent CNC technology;
• Intelligent robotics technology;
• Intelligent servo drive technology;
• Computer Aided Design and Manufacturing;
• Intelligent Equipment Digital Twin Technology;
• AI assisted decision-making in processing technology;
• Embodied intelligence and world models;
• Industrial Internet of Things;

The manuscript should be submitted via the submission link (http://confsys.iconf.org/submission/iccc2025), or to  iccc2015@vip.163.com before the submission deadline (September 25, 2025).

Chair: Researcher, Jingang Yu, Shenyang Institute of Computing Technology, Chinese Academy of Sciences, China

Jingang Yu, is a researcher with a Ph.D. and postdoctoral experience, currently serves as the Director of the Department of Science & Technology at the Shenyang Institute of Computing Technology, Chinese Academy of Sciences, and Director of the Liaoning Provincial Center of Technology Innovation for Telemedicine Information. He also holds several key concurrent positions, including Standing Committee Member of the Liaoning Provincial Association for Science and Technology, Executive Secretary-General of the Liaoning Computer Society, Vice President of the Shandong Lunan Engineering Technology Research Institute, Vice President of the Liaoning Provincial Technology Transfer Promotion Association, and Council Member of the China Computer Federation (CCF). His primary research focuses on Artificial Intelligence, Blockchain, and Converged Communication Technologies. Dr. Yu has led or participated in over 20 significant projects, including national major R&D programs and Ministry of Industry and Information Technology (MIIT) high-quality development initiatives. He has authored more than 20 academic papers, applied for nearly 20 invention patents, and contributed to the formulation of 4 regional/local standards. His distinguished contributions have earned him prestigious honors such as "Outstanding Scientific and Technological Worker of Liaoning Province", the "Liaoning Youth Science and Technology Award" (a provincial-level accolade), recognition as a Thousand-Level Candidate in Liaoning's "Hundred-Thousand-Ten Thousand Talent Project", and designation as a "Leading Talent of Shenyang City", among other accolades.

Chair: Associate Researcher, Beibei Li, Shenyang Institute of Computing Technology, Chinese Academy of Sciences, China

Beibei Li, Ph.D. (Engineering) and Postdoctoral Fellow, graduated from the University of Chinese Academy of Sciences (UCAS). Recognized as a Class C High-Level Talent (Leading Talent) in Shenyang City, he is an Associate Researcher and serves as a Master's Supervisor at UCAS. Currently, Dr. Li holds the position of Technical Director of the Automation Equipment Division at Shenyang CASNC Technology Co., Ltd. (National Engineering Research Center for High-End CNC). He has long been engaged in the research, development, and implementation of domestically-developed high-end CNC systems, robotic automation integration technologies, and intelligent integrated manufacturing systems and equipment. Based on his core technology breakthroughs and innovations in high-end CNC systems and robotic automation, he has applied for over 10 national invention patents (with 8 granted), participated in formulating 3 industry standards. His distinguished achievements include winning the First Prize of the Machinery Industry Science and Technology Progress Award and two Third Prizes of the Liaoning Natural Science Academic Achievement Award.

Chair: Assoc. Prof. Shujie Sun, Yan Tai University, China

Dr. Sun, received his Ph.D. degree from the National Engineering Research Center for High-Grade CNC at the University of Chinese Academy of Sciences. From 2017 to 2019, he worked as a postdoctoral researcher at Shenyang Institute of Computing Technology Co., Ltd. and Northeastern University, Chinese Academy of Sciences. From 2019 to 2021, he worked as a postdoctoral researcher at the University of British Columbia (co-supervised by Prof. Yusuf Altintas). Since 2011, he has been engaged in CNC-related research work and has presided over projects funded by the Shandong Province Higher School Science and Technology Program, the Shandong Province Natural Science Foundation, the China Postdoctoral Science Foundation, the National Natural Science Foundation of China, and the Yantai International Science and Technology Cooperation Project. He has also participated in many projects, including the “High-grade CNC Machine Tools and Basic Manufacturing Equipment” National Science and Technology Major Special Project. He has published more than 20 papers in the CIRP Journal of Manufacturing Science and Technology, the Journal of Mechanical Engineering, and the Journal of Manufacturing Processes, and has authored 8 invention patents.

Chair: Associate Researcher, Shiyu Wang, Shenyang Institute of Computing Technology, Chinese Academy of Sciences, China

Shiyu Wang, Ph.D. (Engineering), Postdoctoral Fellow, and Associate Researcher, graduated from the University of Chinese Academy of Sciences (UCAS). Recognized as a Shenyang High-Level Talent and serving as a UCAS Master's Supervisor, Dr. Wang specializes in research on machine vision and intelligent production lines. He has secured competitive funding as Principal Investigator for projects including the Shenyang Young and Middle-aged Scientific and Technological Innovation Talent Support Project (RC210488) and the Liaoning Provincial Doctoral Research Start-up Foundation Program (BS-2023-214). His research achievements include authoring multiple granted invention patents and software copyrights, as well as publishing several first-author and corresponding-author papers in prominent domestic and international journals and conferences. His scholarly work has been honored with awards such as the Excellent Paper Award from the Chinese Mechanical Engineering Society (1/4), the Liaoning Natural Science Academic Achievement Award (1/5), and recognition as a member of the "13th Five-Year Plan" Outstanding Innovation Team in Machinery Industry awarded by the China Machinery Industry Federation (ranked 4th of 18 members).

Chair: Researcher, Hongliang Wang, Shenyang Institute of Computing Technology, Chinese Academy of Sciences, China

Hongliang Wang, Ph.D. (Engineering) and Professor (Researcher), serves as a Doctoral Supervisor at the University of Chinese Academy of Sciences (UCAS) and Director of the Liaoning Provincial Engineering Research Center for Digital Twin-Based Interactive Systems. Recognized as a Technical Expert by the Ministry of Industry and Information Technology (MIIT), his primary research focuses on digital twin, artificial intelligence, and computer simulation. Dr. Wang has led or participated in over 20 national, provincial, and municipal research projects, including Major National Science and Technology Projects, National Key R&D Programs, and MIIT High-Quality Development Initiatives. His research output includes 20 applied-for national invention patents and the publication of more than 40 SCI/EI-indexed papers in prominent domestic and international journals and conferences. His distinguished contributions have earned him prestigious awards such as the China Patent Award, Liaoning Provincial Science and Technology Progress Award, Liaoning Youth Science and Technology Award, Liaoning Patent Award, and the Liaoning Natural Science Academic Achievement Award.

Chair: Dr. Anying Chai, Shenyang University of Technology, China

Anying Chai, Ph.D., is a Member of the Chinese Communist Party and serves as a Master's Supervisor and Teaching Director of the Department of Computer Science and Technology at Shenyang University of Technology. Recognized as a Shenyang Outstanding Talent (Class D), he holds membership in the China Computer Federation (CCF) and serves on the CCF Young Computer Scientists & Engineers Forum (YOCSEF) Shenyang committee. Dr. Chai earned his doctoral degree in Computer Application Technology from the University of Chinese Academy of Sciences (UCAS). He actively contributes to the academic community as a reviewer for numerous prestigious domestic and international journals and conferences, including IEEE Internet of Things Journal, IEEE Transactions on Consumer Electronics, International Journal of Machine Learning and Cybernetics, Journal of Supercomputing, Scientific Reports (Nature Portfolio), Sensors (MDPI), various Bentham Science journals, Miniature and Microcomputer Systems, and the Journal of Jilin University. His research excellence has been recognized through prestigious honors including the CAS President's Excellence Award, designation as an Outstanding Expert by the Fanke Review Quality Research Institute, the Third Prize for Outstanding Paper at the Liaoning Computer Society Annual Conference, and the Third Prize for "Outstanding Research Project" awarded by the China Academy of Industrial Internet, among other accolades.