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Talk on "Task Offloading in Mobile Edge Computing for Internet of Things" by Professor Ning Zhang from the University of Windsor in Canada

We are pleased to inform you about the upcoming seminar by Professor Ning Zhang from the University of Windsor in Canada titled:"Task Offloading in Mobile Edge Computing for Internet of Things" Everyone interested is cordially invited to attend!

Title:

Task Offloading in Mobile Edge Computing for Internet of Things

Abstract:

Internet of things (IoT) lays the foundation for various emerging applications, such as environmental monitoring, smart city, and intelligent transportation systems. 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.

Speaker:

Dr. Ning Zhang is an Associate Professor and Canada Research Chair in the Department of Electrical and Computer Engineering at University of Windsor. 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/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. He also serves/served as a TPC/General chair for numerous conferences. He received several Best Paper Awards from conferences and journals, such as IEEE Globecom, IEEE ICC, IEEE ICCC, IEEE WCSP, and Journal of Communications and Information Networks. He serves as the Chair for IEEE Technical Committee on Cognitive Networks and the Vice Chair for IEEE Technical Committee on Big Data.
More information: https://ningece.wordpress.com/