MEL

 In the past decades, Information and Communication Technologies (ICT) have enabled the modernization of the power grid and have led to many advances in smart grid technologies, as well as smart cities. Smart grid communications facilitate a large number of grid operations, including advanced metering, fault monitoring, microgrid control, transactive energy systems, and so on. In parallel with advances in smart grids, communication technologies have been continuously evolving to provide better service to mobile users and vertical industries. Recently, machine learning has shown promising performance improvements in communication networks; benefiting many verticals around smart cities. In this talk, we introduce novel AI-based tools that will allow a P2P energy trading platform, consisting of microgrids, to become a part of future transactive energy systems. The energy trading platform relies on robust smart grid communications. We will show our recent results on low-latency communications that use reinforcement learning to support the communication needs of such energy trading platforms.

Biography:

Melike (Mel) Erol-Kantarci is a highly cited prolific researcher and an influential industry leader in AI in telecom. She is the Chief Cloud RAN AI\ML Data Scientist at Ericsson and Canada Research Chair in AI-enabled Next-Generation Wireless Networks and Full Professor at the University of Ottawa, Canada. Throughout her 15+ years of career in communications, she has received numerous awards and recognitions from technical societies. Dr. Erol-Kantarci is the co-editor of three books on smart grids, smart cities, and intelligent transportation. She has over 200+ peer-reviewed publications with citations over 8000 and h-index 43. She is a sought-after speaker with 70+ keynotes, plenary talks and tutorials around the globe both at industry events and academic conferences. Dr. Erol-Kantarci serves on the editorial board of several IEEE transactions. She has acted as the general chair and the technical program chair for many international conferences and workshops. Most recently, she is General Co-Charing the IEEE International Conference on Machine Learning for Communication and Networking 2024. She is also the Vice-chair of IEEE ComSoc emerging technologies initiative on Machine Learning for Communications. Her main research interests are AI-enabled wireless networks, 5G and 6G wireless communications, smart grid, and Internet of Things. She is an IEEE ComSoc Distinguished Lecturer, IEEE Senior member and ACM Senior Member.

Address:Canada