IoT Thrust Seminar | Digital Twin Networks
Supporting the below United Nations Sustainable Development Goals:支持以下聯合國可持續發展目標：支持以下联合国可持续发展目标：
In this talk, we first present the concept and model related to Digital Twin (DT) and Digital Twin Networks. Then, we define and analyze three unique research questions: DT building, DT placement and DT transfer. We exploit different machin learning approaches to addree these new research challenges, including federated learing, deep reinforcement learning and transfer learning. We also point out several open issues in this field.
Yan Zhang is currently a Full Professor with the Department of Informatics, University of Oslo, Norway. His research interests include next-generation wireless networks leading to 6G, green and secure cyber-physical systems. Dr. Zhang is an Editor for several IEEE transactions/magazine. Since 2018, Prof. Zhang has been listed as a Highly Cited Researcher by Clarivate Analytics (i.e., Web of Science). He is Fellow of IEEE, Fellow of IET, elected member of Academia Europaea (MAE), elected member of the Royal Norwegian Society of Sciences and Letters (DKNVS), and elected member of Norwegian Academy of Technological Sciences (NTVA).