The Industrial Application of New Artificial Intelligence Technologies

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Please choose Special Session: The Industrial Application of New Artificial Intelligence Technologies

Introduction:

The industrial application of new AI technologies is gradually permeating various industries, bringing revolutionary changes to traditional sectors. From smart manufacturing to intelligent healthcare, from financial services to smart homes, AI is not only enhancing production efficiency but also optimizing user experiences. These innovative applications showcase the tremendous potential of AI technology and introduce new opportunities and challenges for industrial development.

We cordially invite you to share your insights and examples of innovative AI applications in industries. Whether your expertise lies in smart manufacturing, intelligent healthcare, intelligent transportation, or other fields, we eagerly anticipate your unique perspectives and in-depth analysis.

人工智能新技术产业应用正逐渐渗透到各个行业中，为传统产业带来革命性变革。从智能制造到智慧医疗，从金融服务到智能家居，人工智能的应用不仅提高了生产效率，还优化了用户体验。这些创新应用不仅展现了AI技术的巨大潜力，也为产业发展带来了新的机遇和挑战。

诚邀您分享关于人工智能新技术在产业中的创新应用案例与见解。无论您是在智能制造、智慧医疗、智能交通还是其他领域有所发现和实践，我们都期待您的独特视角和深度分析。

Organizers:

Bo Mi, Professor

Chongqing Jiaotong University, China

Bo Mi is a full professor and doctoral advisor. He serves as a council member of the Overseas Chinese Students Association in the Nanan District of Chongqing. Additionally, he is a member of the Committee of Data-Driven Control, Learning, and Optimization of the Chinese Association of Automation, as well as a member of the Chongqing Computer Society and the Association for Artificial Intelligence.

Shenghui Guo, Associate Professor

Suzhou University of Science and Technology, China

Shenghui Guo is an associate professor and master's supervisor, currently serving as the deputy director of the Department of Electrical Engineering. He is a member of the Chinese Association of Automation, the Jiangsu Province Association of Automation, the Committee of Data Driven Control, Learning, and Optimization of the Chinese Association of Automation, and the Youth Working Committee of the Jiangsu Province Association of Automation.

Yiyang Chen, Associate Professor

Soochow University, China

Yiyang Chen received the M.Eng. degree from Imperial College London, London, U.K., in 2013, and the Ph.D. degree from the University of Southampton, Southampton, U.K., in 2017. After that, he worked as a Research Fellow in control systems (2017–2018) and in traffic signal control (2018–2020) at the University of Southampton. He joined the School of Mechanical and Electrical Engineering, Soochow University, in 2020, as an Associate Professor. He is a member of the Committee of Data-Driven Control, Learning, and Optimization of the Chinese Association of Automation. He has published several papers in top control conferences and journals. His research interests include iterative learning control, optimization, artificial intelligence, image processing, and robotic systems.