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DTSTAMP:20251117T113857Z
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DTSTART;TZID=America/New_York:20251120T120000
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DESCRIPTION:Join us for the seventh session of the exciting webinar series 
 on "New Frontiers in Signal Processing in 6G Wireless Networks"\, a collab
 oration between IEEE Signal Processing\, IEEE Communications Society chapt
 ers in Ottawa\, and IEEE ComSoC Young Professionals.\n\nRegister now and s
 tay tuned for updates on upcoming speakers and topics!\n\nSpeaker(s): Prof
 . Burak Kantarci \n\nAgenda: \nThe move from 5G to 6G will transform wirel
 ess systems into intelligent and resilient communication networks. This pr
 esentation will highlight how machine learning and artificial intelligence
  can enhance the reliability\, adaptability\, and security of 6G communica
 tions. Recent advances in RF-level security\, deep ensemble learning\, and
  jamming detection will be discussed\, showing how AI models can detect hi
 dden patterns in the spectrum and protect mission-critical applications su
 ch as connected vehicles\, smart cities\, and industrial IoT. The talk wil
 l also cover emerging directions including generative models\, federated l
 earning\, and multi-agent reinforcement learning\, which support robust an
 d distributed communication systems. By embedding intelligence at the netw
 ork edge\, 6G can evolve into context-aware\, low-latency\, and self-optim
 izing systems that are capable of learning\, reasoning\, and defending aga
 inst threats in real time.\n\nVirtual: https://events.vtools.ieee.org/m/51
 5425
LOCATION:Virtual: https://events.vtools.ieee.org/m/515425
ORGANIZER:monireh.vamegh@ieee.org
SEQUENCE:17
SUMMARY:Machine Learning for Resilient 6G Communications: From RF Security 
 to Edge Intelligence
URL;VALUE=URI:https://events.vtools.ieee.org/m/515425
X-ALT-DESC:Description: <br /><p style="margin: 5.25pt 0in .0001pt 0in\;"><
 em><span style="font-size: 13.5pt\; color: black\;">Join us for the sevent
 h session of the exciting webinar series on "New Frontiers in Signal Proce
 ssing in 6G Wireless Networks"\, a collaboration between IEEE Signal Proce
 ssing\, IEEE Communications Society chapters in Ottawa\, and IEEE ComSoC Y
 oung Professionals.&nbsp\;</span></em></p>\n<p style="margin: 5.25pt 0in .
 0001pt 0in\;"><em><span style="font-size: 13.5pt\; color: black\;">Registe
 r now and stay tuned for updates on upcoming speakers and topics!</span></
 em></p>\n<p style="margin: 5.25pt 0in .0001pt 0in\;">&nbsp\;</p>\n<p style
 ="margin: 5.25pt 0in .0001pt 0in\;"><em><span style="font-size: 13.5pt\; c
 olor: black\;"><img src="https://events.vtools.ieee.org/vtools_ui/media/di
 splay/0c6a84e9-3d21-41b8-985b-8a23122484b1"></span></em></p><br /><br />Ag
 enda: <br /><div>The move from 5G to 6G will transform wireless systems in
 to intelligent and resilient communication networks. This presentation wil
 l highlight how machine learning and artificial intelligence can enhance t
 he reliability\, adaptability\, and security of 6G communications. Recent 
 advances in RF-level security\, deep ensemble learning\, and jamming detec
 tion will be discussed\, showing how AI models can detect hidden patterns 
 in the spectrum and protect mission-critical applications such as connecte
 d vehicles\, smart cities\, and industrial IoT. The talk will also cover e
 merging 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 i
 n real time.</div>
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