國立陽明交通大學及IEEE Taipei Section特邀美國休士頓大學電機與電腦工程系 Prof. Zhu Han至陽明交通大學電機學院進行學術演講，敬祈各位共襄盛舉。
Prof. Zhu Han是美國休士頓大學電機與電腦工程系的教授。其研究專長涵蓋博弈論、無線網路、智慧電網以及大數據等領域，在學術界和科研領域具有重要影響力，是 IEEE Fellow、AAAS Fellow 和 ACM Fellow。Prof. Zhu Han在多個重要國際學術組織中擔任要職，並榮獲多項學術獎項，是IEEE高被引學者之一。
主 題：The Transformative Impact of Generative AI: Strategies, Applications, and Innovations
地 點：工程四館108 & 線上
日 期：2025/6/27(五)
時 間：15:00-16:20(14:55入場)
主持人：王蒞君終身講座教授 國立陽明交大電機學院院長 / IEEE Taipei Section理事長
Abstract：IThis speech explores the transformative potential of Generative AI (GAI) acrossvarious domains. Firstly, we examine the use of Large Language Models (LLMs) inrepeated games to develop practical strategies aligning with the folk theorem’sequilibrium conditions, enhancing cooperative behavior through future payoffconsiderations. Secondly, we address low-light image enhancement inteleoperation using diffusion-based AI-generated content (AIGC) models. A VisionLanguage Model (VLM)-empowered contract theory framework optimizes AIGCtask allocation and pricing under information asymmetry, improving resourcemanagement for teleoperators and edge servers. In the realm of autonomousdriving, we integrate Federated Learning (FL) with Vision-language models (VLMs)in Graph Visual Question Answering (GVQA), highlighting advancements inprivacy preservation, reduced communication costs, and maintained modelperformance. Lastly, an LLM-based semantic communication (SC) framework forunderwater communication is presented, demonstrating efficient data transmissionand resilience against noise and signal loss by performing semantic compressionand prioritization of image data. These innovations collectively illustrate the broadimpact of AI technologies, shaping strategies, and enhancing applications acrossvarious fields.
Bio：Zhu Han received the B.S. degree in electronic engineering from Tsinghua University,in 1997, and the M.S. and Ph.D. degrees in electrical and computer engineering fromthe University of Maryland, College Park, in 1999 and 2003, respectively. From 2000to 2002, he was an R&D Engineer of JDSU, Germantown, Maryland. From 2003 to2006, he was a Research Associate at the University of Maryland. From 2006 to 2008,he was an assistant professor at Boise State University, Idaho. Currently, he is a Johnand Rebecca Moores Professor in the Electrical and Computer EngineeringDepartment as well as in the Computer Science Department at the University ofHouston, Texas. His research interests include wireless resource allocation andmanagement, wireless communications and networking, game theory, big dataanalysis, security, and smart grid. Dr. Han received an NSF Career Award in 2010, theFred W. Ellersick Prize of the IEEE Communication Society in 2011, the EURASIP BestPaper Award for the Journal on Advances in Signal Processing in 2015, IEEE LeonardG. Abraham Prize in the field of Communications Systems (best paper award in IEEEJSAC) in 2016, and several best paper awards in IEEE conferences. Dr. Han was anIEEE Communications Society Distinguished Lecturer from 2015-2018, AAAS fellowsince 2019, ACM distinguished Member since 2019 and ACM distinguished speaker2022-2025. Dr. Han is a 1% highly cited researcher since 2017 according to Web ofScience. Dr. Han is also the winner of the 2021 IEEE Kiyo Tomiyasu Award, foroutstanding early to mid-career contributions to technologies holding the promise ofinnovative applications, with the following citation: “for contributions to game theoryand distributed management of autonomous communication networks.”
報名網址：https://reurl.cc/zq9V0N