备注 |
简介：张彦，挪威奥斯陆大学信息工程学院教授，IEEE Fellow, IET Fellow。入选欧洲科学院院士，挪威皇家科学院院士，挪威工程院院士，2018-2020连续三年全球“高被引科学家”，2021/2020年Guide2Research 世界顶尖 1000名计算机科学和电子领域科学家榜单。近期主要研究方向为新一代无线通信网络和智能安全物联网。现任IEEE绿色通信与计算技术委员会主席，IEEE通信学会杰出讲师, IEEE车载技术学会杰出讲师，11个IEEE Transactions/Magazine期刊编委，包括IEEE Network Magazine; IEEE Communications Surveys & Tutorials；IEEE Transactions on Industrial Informatics; IEEE Transactions on Vehicular Technology; IEEE Transactions on Sustainable Computing; IEEE Transactions on Green Communications and Networking; IEEE Transactions on Networks Science and Engineering；IEEE Internet of Things Journal；IEEE Systems Journal; IEEE Vehicular Technology Magazine；以及IEEE Blockchain Technical Briefs。
报告简介：In this talk, we mainly introduce our recent studies on Digital Twin (DT) for edge computing, 6G, Internet of Vehicles, air-ground networks, and IoT. We will first introduce the main concepts and challenges related to Digital Twin. Then, we present a novel scenario DITEN (Digital Twin Edge Networks) and the research challenges related to offloading, edge association, and fault-tolerance. Throughout the talk, we join DT with machine learning to add intelligence (e.g., deep reinforcement learning, federated learning) for low-latency, privacy-preservation, and energy-efficiency in IoT systems. |
