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DTSTAMP:20260603T133045Z
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DTSTART;TZID=Europe/Rome:20260713T110000
DTEND;TZID=Europe/Rome:20260713T120000
DESCRIPTION:IEEE ComSoc Italy Chapter Distinguished Lecture Tour\n\nSpeaker
 : Prof. Lina Mohjazi (IEEE ComSoc Distinguished Lecturer)\n\nTitle of Talk
 : Towards Zero-Touch 6G Networks: RIS\, AI-Native Intelligence\, and Proac
 tive Wireless Decision Making\n\nAbstract: The vision of 6G extends far be
 yond enhanced connectivity\, aiming to enable fully autonomous\, intellige
 nt\, and adaptive wireless ecosystems capable of supporting mission-critic
 al services\, immersive applications\, and massive machine-type communicat
 ions. Achieving this vision requires a paradigm shift from conventional re
 active network operation toward zero-touch networks that can sense\, learn
 \, reason\, and make decisions with minimal human intervention. This talk 
 explores the convergence of sensing\, communication\, and intelligence as 
 the foundation of future zero-touch 6G networks. It highlights how distrib
 uted intelligence\, AI-native architectures\, and real-time environmental 
 awareness can transform wireless systems into proactive and self-optimizin
 g infrastructures. The lecture will discuss emerging techniques for proact
 ive mobility and handover management\, intelligent IoT data collection\, a
 nd federated learning frameworks that enable scalable and privacy-preservi
 ng network intelligence across highly distributed environments. The talk w
 ill further examine the role of Reconfigurable Intelligent Surfaces (RIS) 
 in enabling programmable wireless environments capable of dynamically adap
 ting propagation conditions to enhance coverage\, reliability\, and energy
  efficiency. Practical considerations\, including scalability\, sustainabi
 lity\, trustworthiness\, and implementation challenges\, will also be disc
 ussed in the context of next-generation wireless systems. By bridging adva
 nces in AI\, sensing\, and wireless communications\, this lecture presents
  a holistic perspective on the evolution toward autonomous 6G ecosystems a
 nd outlines key research directions shaping the future of intelligent conn
 ectivity.\n\nCo-sponsored by: University of Cagliari\n\nSpeaker(s): Lina M
 ohjazi\n\nRoom: Aula B1\, Via Marengo 2\, Cagliari\, Sardegna\, Italy\, 09
 123
LOCATION:Room: Aula B1\, Via Marengo 2\, Cagliari\, Sardegna\, Italy\, 0912
 3
ORGANIZER:daniele.tarchi@unifi.it
SEQUENCE:45
SUMMARY:Towards Zero-Touch 6G Networks: RIS\, AI-Native Intelligence\, and 
 Proactive Wireless Decision Making
URL;VALUE=URI:https://events.vtools.ieee.org/m/562105
X-ALT-DESC:Description: <br /><p><strong>IEEE ComSoc Italy Chapter Distingu
 ished Lecture Tour</strong></p>\n<p><strong>Speaker:</strong> Prof. Lina M
 ohjazi (IEEE ComSoc Distinguished Lecturer)</p>\n<p><strong>Title of Talk:
 </strong> Towards Zero-Touch 6G Networks: RIS\, AI-Native Intelligence\, a
 nd Proactive Wireless Decision Making</p>\n<p><strong>Abstract:</strong> T
 he vision of 6G extends far beyond enhanced connectivity\, aiming to enabl
 e fully autonomous\, intelligent\, and adaptive wireless ecosystems capabl
 e of supporting mission-critical services\, immersive applications\, and m
 assive machine-type communications. Achieving this vision requires a parad
 igm shift from conventional reactive network operation toward&nbsp\;<em>ze
 ro-touch networks</em> that can sense\, learn\, reason\, and make decision
 s with minimal human intervention.&nbsp\;This talk explores the convergenc
 e of sensing\, communication\, and intelligence as the foundation of futur
 e zero-touch 6G networks. It highlights how distributed intelligence\, AI-
 native architectures\, and real-time environmental awareness can transform
  wireless systems into proactive and self-optimizing infrastructures. The 
 lecture will discuss emerging techniques for proactive mobility and handov
 er management\, intelligent IoT data collection\, and federated learning f
 rameworks that enable scalable and privacy-preserving network intelligence
  across highly distributed environments. The talk will further examine the
  role of Reconfigurable Intelligent Surfaces (RIS) in enabling programmabl
 e wireless environments capable of dynamically adapting propagation condit
 ions to enhance coverage\, reliability\, and energy efficiency. Practical 
 considerations\, including scalability\, sustainability\, trustworthiness\
 , and implementation challenges\, will also be discussed in the context of
  next-generation wireless systems. By bridging advances in AI\, sensing\, 
 and wireless communications\, this lecture presents a holistic perspective
  on the evolution toward autonomous 6G ecosystems and outlines key researc
 h directions shaping the future of intelligent connectivity.</p>
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