September 22 (Mon), 2025, 13:30-14:00
Chair: You-Chiun Wang (National Sun Yat-sen University, Taiwan)
Jyh-Cheng Chen is the founder of free5GC, a Linux Foundation project for open-source 5G core networks, and currently serves as Chair of the project’s Technical Steering Committee (TSC). He received his Ph.D. from the State University of New York at Buffalo in 1998. He worked as a Research Scientist at Bellcore/Telcordia Technologies in Morristown, NJ, USA, from 1998 to 2001, and as a Senior Scientist at Telcordia Technologies in Piscataway, NJ, USA, from 2008 to 2010. From 2001 to 2008, he was with the Department of Computer Science at National Tsing Hua University (NTHU), Hsinchu, Taiwan, where he served as Assistant Professor, Associate Professor, and Full Professor. Since 2010, he has been a faculty member at National Yang Ming Chiao Tung University (NYCU), formerly National Chiao Tung University (NCTU). He is currently a Lifetime Chair Professor in the College of Computer Science, where he also served as Dean of the College from August 2020 to July 2025.
Dr. Chen has received numerous honors, including the Outstanding Teaching Award from both NCTU and NTHU, the Outstanding I.T. Elite Award, Taiwan, the Medal of Honor from the Institute of Information and Computing Machinery, the Outstanding Research Award from the National Science and Technology Council (NSTC), and the Telcordia CEO Award. He is a Fellow of the IEEE and a Distinguished Member of the ACM. He has also served as a member of the Fellows Evaluation Committee of the IEEE Computer Society.
Summary: The free5GC is an open-source project dedicated to the development of 5th-generation (5G) mobile core networks. The primary goal of the project is to implement the 5G Core (5GC) as defined in 3GPP Release 15 (R15) and beyond. Due to its comprehensive features, openness, and excellent interoperability with many commercial base stations and cellular phones that comply with international standards, free5GC has been increasingly adopted by researchers as a platform for system verification and has also been used as a foundation by companies worldwide. Currently, free5GC is advancing toward R18 and beyond. In this talk, I will first introduce free5GC and then present our recent research and development efforts with the platform, including data plane acceleration using P4 Tofino switches, 5G-TSN integration, Access Traffic Steering, Switching, and Splitting (ATSSS) to support both TCP and UDP traffic, active-active failover and load balancing for control plane traffic, ML-based 5G core network load prediction, and 5GLAN.
September 23 (Tue), 2025, 09:00-09:30
Chair: Haruo Oishi (Sojo University, Japan)
Hideyuki Shimonishi received M.E. and Ph.D. degrees from the Graduate School of Engineering Science, Osaka University, Osaka, Japan, in 1996 and 2002. He joined NEC Corporation in 1996 and has been engaged in research on traffic management in high-speed networks, Software-Defined Networking (SDN), Network Functions Virtualization (NFV), 5G and Beyond 5G networking. As a visiting scholar in the Computer Science Department at the University of California at Los Angeles, he studied next-generation transport protocols, from 2003 to 2004. From 2022, he had been cross appointed as a professor at the graduate school of information science and technology, Osaka University. He left NEC in 2022 and is now professor and deputy director at D3 Center, Osaka University. He is a member of IEEE and a fellow of IEICE.
Summary: In the Beyond 5G/6G era, digital twins are expected as a key enabling technology for advanced Cyber-Physical Systems (CPS) to solve real-world challenges such as human–robot collaboration, smart cities, and autonomous mobility. Digital twins are used not only to digitize and operate real-world CPS applications (Digital Twin by B5G), but also to enhance the operation and management of future network systems (Digital Twin for B5G). Furthermore, digital twins are envisioned to serve as a unifying framework that bridges CPS and network systems, thereby enabling their integrated and synergistic optimization. This talk will introduce a probabilistic representation of the digital twin for both CPS and network systems, with a particular focus on achieving a high level of reliability and efficiency in handling uncertainties associated with the perception and control of real-world environments and systems. Then, as examples of specific research topics, this talk will introduce several studies conducted in our laboratory that focus on constructing probabilistic digital twins of real-world environments and network systems, and utilizing them for the control of CPS, network systems, or their integrated coordination.
September 24 (Wed), 2025, 09:00-09:30
Chair: Wootae Kim (KT, Korea)
James Won-Ki Hong is Professor in the Dept. of Computer Science and Engineering, Director of Center for Crypto Blockchain Research, and Director of Distributed Processing and Network Management Lab at POSTECH, Pohang, Korea. James worked as CTO and Senior Executive Vice President for KT from March 2012 to Feb. 2014, where he was responsible for leading the R&D effort of KT and its 50 subsidiary companies, and where he initiated R&D on SDN (Software-Defined Networking). He was Chairman of National Intelligence Communication Enterprise Association, and Chairman of Telecommunications Technology Association (TTA) Standardization Board in Korea. He was a co-founder and Executive Director of SDN/NFV Forum from Oct. 2014 to May 2019 in Korea. He was a co-founder and chief technical advisor of Kedutech, a Korean startup developing and providing video conferencing service called Vmeeting. He was co-founder and CTO of Netstech, a Palo Alto, USA-based startup developing network integrated ultra-dense, blade servers from 2000 to 2002. His research interests include blockchain & cryptocurrency, AI-based network management, SDN and NFV, and LLM-based applications.
Over the past 35 years, James has been an active volunteer in various committees in IEEE, ComSoc, and KICS. He has served as Steering Committee Chair of IEEE ICBC, NOMS, IM, NetSoft, APNOMS and CNSM as well as Chair of CNOM and KNOM. He has also been serving as Editor-in-Chief of Wiley’s International Journal of Network Management as well as an editorial board member of IEEE TNSM, JNSM and JCN. He was General Co-Chair of IEEE ICBC 2025. He was General Chair of IEEE NOMS 2024, NetSoft 2016, IEEE ICBC 2019, IEEE NOMS 2018 and 2018 IEEE Blockchain Summit Korea.
James received his HBSc and MSc degrees in Computer Science from the University of Western Ontario, Canada in 1983 and 1985, respectively, and the PhD degree in Computer Science from the University of Waterloo, Canada in 1991.
Summary: The most transformative information technology in recent years is undoubtedly Generative Artificial Intelligence, particularly Large Language Models (LLMs). In this keynote, we will examine how LLMs are reshaping the field of network management. The long-standing vision of intent-based networking (IBN), once considered a distant goal, is now becoming attainable with the advent of LLMs. Yet, research on LLM-driven network management remains in its infancy, with many challenges still ahead. We will highlight current research efforts in automating software-defined network configuration and deployment through LLMs, and discuss both the opportunities and limitations of these approaches. Ultimately, this talk will explore not only the broad potential of LLMs across network management and related domains, but also the hurdles that must be overcome to achieve fully automated, LLM-empowered configuration management.