2026年5月26日に価値創造教育研究センター外国人客員教員（村瀬 勉研究室受け入れ）Shih-Chun LIN先生(ノースカロライナ州立大学)による講演会が行われます。ご興味のある方は是非ご参加ください。なお事前登録の必要はありません。

 

日 時：2026年5月26日（火）13:00-14:30 参加自由

場 所：IB電子情報館 013講義室

講演者：Shih-Chun LIN先生（ノースカロライナ州立大学 准教授）

言 語：英 語

問合せ先：村瀬勉研究室 内線 : 6552

価値創造教育研究センター事務室 内線：4247

office-fvcrcnu@t.mail.nagoya-u.ac.jp

 

題 目： Network Digital Twins and AI-Driven Edge Intelligence for 6G Wireless Systems

概 要：

In this talk, I will introduce the motivation for using network digital twins to support increasingly complex wireless systems, including Wi-Fi, cellular, and future 6G networks. As wireless networks become more heterogeneous, programmable, and AI-driven, digital twins can provide a powerful framework for modeling, what-if analysis, validation, and safe closed-loop control before deployment in real systems. The talk will discuss how network digital twins can enable AI-in-the-loop edge intelligence, O-RAN and 6G network automation, and trustworthy adaptation across wireless and edge infrastructures. I will also highlight potential applications in vehicular networks, aerial networks, and non-terrestrial networks, where mobility, uncertainty, and dynamic environments make real-time control particularly challenging.

 

略 歴：

Dr. Shih-Chun Lin is an Associate Professor in the Department of Electrical and Computer Engineering at North Carolina State University and Director of the Intelligent Wireless Networking Laboratory. His research spans wireless communications and networking, including software-defined networking, IoT and vehicular networks, satellite and low-Earth-orbit systems, digital twins, and AI-native edge intelligence. He has published more than 90 peer-reviewed papers and holds 12 U.S. patents. His work has received over 3,500 citations with an h-index of 26 according to Google Scholar. His research contributions include programmable SDN-based edge clouds, cross-domain network slicing, digital twin-enabled vehicular systems, federated IoT networking, and resilient wireless and non-terrestrial network systems.