Keynote Speakers
Prof. Yan Zhang
IEEE Fellow, IET Fellow
University of Oslo, Norway
Speech Title: AI for Digital Twin
Abstract: In this talk, we mainly introduce our recent studies on digital twin. We first present the concept and model related to Digital Twin (DT). Then, we focus on new research challenges and results when machine learning is exploited in DT, including federated learing, deep reinforcement learning and transfer learning.
Bio: Yan Zhang is currently a professor at the Faculty of Information Engineering, University of Oslo, Norway. He is an IEEE Fellow and IET Fellow. He has been elected as an academician of the European Academy of Sciences, the Royal Norwegian Academy of Sciences, and the Norwegian Academy of Engineering. From 2018 to 2022, he was consecutively named one of the world's "Highly Cited Researchers." His recent research focuses on next-generation wireless communication networks and intelligent secure IoT. His research achievements have been cited over 38,000 times, with an H-index of 100. He serves as an editorial board member for several IEEETransactions/Magazine journals, including IEEE TWC, TH, TVT, TSUSC, TGCN, TNSE, NETWORK, IoT, VTM, and Systems Journal. Additionally, he is an editorial board member for multiple core journals in China, including Chinese Journal of Communications, Computer Science, Journal of Internet of Things, Journal of Network and Information Security, and Digital Communication and Network.
Prof. Lei Ren
National Science Fund for Distinguished Young Scholars
Beihang University, China
Speech Title: Industrial Internet of Things： Towards AI 3.0
Abstract: This report summarizes the hotspot technologies in the convergent innovation of the Industrial Internet and Artificial Intelligence (AI) 2.0, and explores the theoretical framework of Industrial Embodied Intelligence and Industrial Metaverse for the AI 3.0 era. Building on this foundation, it proposes the definition and connotation of Industrial Large Models, along with their system architectures, construction methodologies, and core key technologies. Centering on applications across the entire product lifecycle in industrial manufacturing, the report discusses typical scenarios for Industrial Large Models. Additionally, it addresses future challenges facing Industrial Large Models and outlines prospects for technological and industrial advancements.
Bio: Ren Lei, the first recipient of the National Science Fund for Distinguished Young Scholars in the field of Industrial Internet, serves as the Chief Scientist of the National Key R&D Program on Industrial Software. He is a Second-Class Professor and Blue Sky Distinguished Professor at Beihang University (BUAA), leading research in Industrial Internet and Industrial Software at the School of Automation and School of Software. He is also the Deputy Director of the Academic Committee at the National Key Laboratory for Complex Product Intelligent Manufacturing. His research focuses on Industrial Internet & Software, Industrial AI, and Industrial Large Models.
He has led over 30 national and provincial-level projects, including one 100 million-level project and three 10 million-level projects, such as the National Major Science and Technology Programs, National Key R&D Programs, and Major Research Plans of the National Natural Science Foundation. With 100+ papers published in top-tier journals (e.g., IEEE Transactions) and over 10,000 citations, he is recognized in Stanford's Global Top 2% Scientists Career Impact List. He has participated in drafting 15 international/national standards and holds 70+ patents and software copyrights, with core technologies serving hundreds of thousands of enterprises. He has received three provincial/ministerial first-class prizes.
Prof. Xiang-Yang Li
IEEE Fellow, ACM Fellow
University of Science and Technology of China, China
Speech Title:
Abstract:
Bio: Dr. Xiang-Yang Li, Professor, Doctoral Supervisor, and Xinchuang Chair Professor at the School of Computer Science and Technology, University of Science and Technology of China (USTC). He currently serves as the Executive Dean of the Faculty of Information and Intelligent Science at USTC, Executive Dean of the School of Computer Science and Technology, and Director of the Key Laboratory of Wireless Optoelectronic Communication, Chinese Academy of Sciences.
He is the Former Co-Chair of ACM China, a member of the ACM Publication Board, and currently serves as Chair of the ACM China Steering Committee and Co-Chair of ACM SIGMOBILE China. His honors include the National Long-Term Innovative Talent Program, ACM Fellow, IEEE Fellow, ACM Distinguished Scientist, National Science Fund for Distinguished Young Scholars, and Chief Scientist of the National Key R&D Program on IoT Security.
He leads the Next-Generation Mobile Computing and Data Innovation Team (LINKE), recognized as a National Huang Danian-Style Team of Chinese Universities (the first such team at USTC). His groundbreaking work achieved millimeter-level accuracy in RFID-based indoor positioning for the first time.
As Principal Investigator, he has directed over 20 major projects, including the National Key R&D Program, Distinguished Young Scholars Fund, Overseas Distinguished Young Scholars Fund, Key Projects of the National Natural Science Foundation of China, and Key Projects of the US National Science Foundation. He collaborates extensively with leading enterprises to drive regional economic growth and has supervised over 50 doctoral students, many of whom hold faculty positions at universities in the US and China.
His research areas: Wireless networks, Mobile computing, Intelligent IoT, Security and privacy, Data sharing and trading, Big data computing/network economics.
