The school will cover some selected hot topics in the evolution of telecommunications networks. All speakers have worldwide recognition of being at the top in their fields so as the event is projected to be of a very high level.

Every speaker is assigned a ‘slot’ with three slots/day plus one fourth slot left for students presentations Students are invited to propose their own presentations which will be possibly grouped according with the topic of the day to maximize interaction with the speakers.

Slots will be reserved for attendees willing to discuss their research activity.

On Friday afternoon an exam will be organized for all those who will need credits.

We strongly believe that direct interaction cannot be replaced by online meeting, therefore to foster interaction and resume normal activity after the lockdown, the event will be organized in mixed mode: both online and onsite. For more information see the registration page.



  • Emilio Calvanese Strinati: From 5G to 6G
  • Ioannis Kirikidis: Wireless powered communications

Semantic communications.

Theory and applications of the new paradigm that goes “beyond Shannon”

  • Emilio Calvanese Strinati: Goal oriented semantic communications
  • Merouane Debbah: Distributed applications for semantic learning
  • Jean-Claude Belfiore: Topos for semantic communications
  • Sergio Barbarossa: Topological Signal Processing

New network architectures.

Increasing the network density and operating frequencies to find new channel opportunities leads to new challenges. Our spekers will provide some of the fundamentals and outline the impact on the network architecture

  • Vincenzo Sciancalepore: O-RAN the opportunity bridging 5G to 6G
  • George Alexandropoulos: From Cell-Free architectures to RIS empowered Environments: the RISE 6G case
  • Josep Jornet: Teraherz Communications
  • Ioannis Krikidis: Wireless Powered Communications in the era of future 6G Networks
  • Michele Zorzi: Non terrestrial communications

AI foundations.

Artificial Intelligence is becoming pervasive, but can we get insights from the original ‘Intelligence’? What are the tradeoffs and opportunities from distributed AI

  • Egidio D’Angelo: From human brain to artificial intelligence
  • Giovanni Neglia: Federated Learning