Machine Learning for Resilient 6G Communications: From RF Security to Edge Intelligence : vTools Events

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Machine Learning for Resilient 6G Communications: From RF Security to Edge Intelligence

#communications #collaboration #communication-systems #6G #IEEE #learning#signalprocessing

Join us for the seventh session of the exciting webinar series on "New Frontiers in Signal Processing in 6G Wireless Networks", a collaboration between IEEE Signal Processing, IEEE Communications Society chapters in Ottawa, and IEEE ComSoC Young Professionals.

Register now and stay tuned for updates on upcoming speakers and topics!

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Starts 17 November 2025 05:00 AM UTC
Ends 20 November 2025 05:00 PM UTC
No Admission Charge

Speakers

Prof. Burak Kantarci

Biography:

Dr. Burak Kantarci is currently a Full Professor and the University Research Chair in AI-Enabled Secure Networking for Smart Critical Infrastructures, Faculty of Engineering, University of Ottawa, Canada. He is also the Founding Director of the Smart Connected Vehicles Innovation Centre (SCVIC) and the Next Generation Communications and Computing Networks (NEXTCON) Research Laboratory, University of Ottawa. He holds a Ph.D. degree in computer engineering from ITU in 2009. He is the author/co-author of more than 300 publications in established journals and conferences. His research has attracted more than 10,000 citations. He is a Senior Member of the IEEE and of the ACM. Continuously listed among the top-cited scientists in telecommunications and networking based on the data reported by Stanford University since 2020, and since 2021, based on data collected from Microsoft Academic Graph, research.com has listed him among Canada’s top computer scientists. He is a recipient of King Charles III Coronation Medal (Canadian Version), and was a recipient of the Minister’s Award of Excellence from Ontario Ministry of Colleges and Universities (2021) and the 2023 Technical Achievement Award of IEEE ComSoc Communications Software Technical Committee. He is also the winner of the 2024–2025 George S. Glinski Award for Excellence in Research in the Faculty of Engineering at University of Ottawa. He holds the Exemplary Editor Award from IEEE Communications Surveys and Tutorials (2021), and multiple best paper awards from various conferences, most recently from IEEE Globecom 2024, IEEE VCC 2023, IEEE ICC 2023, Wireless World Research Forum 2022, and IEEE Globecom 2021. He was a Distinguished Speaker of the Association of Computing Machinery (ACM) 2019–2021. He is also a Distinguished Lecturer of the IEEE Communications Society and the IEEE Systems Council. He has been a keynote/invited speaker or panelist in mire than 40 events. In 2019 and 2020, he chaired the Communications Systems Integration and Modeling Technical Committee of the Institute of Electrical and Electronics Engineers (IEEE). He has been the general chair, the program chair, or the track chair of more than 30 international conferences. He is an Editor of the IEEE Communications Surveys and Tutorials and IEEE Transactions on Network Science and Engineering, an Associate Editor of IEEE Networking Letters and Vehicular Communications (Elsevier), a former Associate Editor of Internet of Things (2021–2024), and a former Area Editor of IEEE Transactions on Green Communications and Networking (2016–2021).

Address:University of Ottawa , , Ottawa, Canada

Agenda

The move from 5G to 6G will transform wireless systems into intelligent and resilient communication networks. This presentation will highlight how machine learning and artificial intelligence can enhance the reliability, adaptability, and security of 6G communications. Recent advances in RF-level security, deep ensemble learning, and jamming detection will be discussed, showing how AI models can detect hidden patterns in the spectrum and protect mission-critical applications such as connected vehicles, smart cities, and industrial IoT. The talk will also cover emerging directions including generative models, federated learning, and multi-agent reinforcement learning, which support robust and distributed communication systems. By embedding intelligence at the network edge, 6G can evolve into context-aware, low-latency, and self-optimizing systems that are capable of learning, reasoning, and defending against threats in real time.