[Keynote I]: 11:20 ~ 11:50, February 25, 2026 (Wednesday)
Prof. Ning Zhang (University of Windsor, Canada)
Task Offloading in Mobile Edge Computing for Internet of Things
Abstract:
Internet of things (IoT) lays the foundation for various emerging applications. As IoT devices are generally constrained with resources, mobile edge computing is proposed whereby data generated by IoT devices can be offloaded to nearby edge servers, so that their tasks can be served locally in real-time. Due to the dynamic, heterogenous, and time-varying operating environment, it is very challenging to utilize heterogeneous resources in an efficient way to meet the service requirements. In this talk, two research works on offloading will be presented, including i) deep reinforcement learning aided dynamic task offloading for IoT; and ii) multi-agent deep reinforcement learning for offloading in vehicular edge computing. Finally, future research directions are discussed.
Biography
Dr. Ning Zhang is a Full Professor and Canada Research Chair in the Department of Electrical and Computer Engineering at University of Windsor. He received the Ph.D degree in Electrical and Computer Engineering from University of Waterloo, Canada, in Jan. 2015. After that, he was a postdoc research fellow at University of Waterloo and University of Toronto, respectively. His research interests include connected vehicles, mobile edge computing, wireless networking, and security. He is a member of Royal Society of Canada College, a Distinguished Lecturer of IEEE, and a Highly Cited Researcher (Web of Science). He serves as the Chair for IEEE Technical Committee on Cognitive Networks and the Vice Chair for IEEE Technical Committee on Big Data. He also serves/served as an Associate Editor of IEEE Transactions on Mobile Computing, IEEE Communications Surveys and Tutorials, IEEE Internet of Things Journal, and IEEE Transactions on Cognitive Communications and Networking.
[Keynote II]: 11:50 ~ 12:20, February 25, 2026 (Wednesday)
Dr. Sei Naito (KDDI Research, Japan)
TBD
Abstract:
TBD
Biography
TBD