ARTIST - Pervasive ARTIficial Intelligence for Next-G Softwarized neTworks
V EDITION | ON SITE | APPLICATION
Deadline for Registration
May 24th, 2026
Period
July 20th- 24th, 2026
Learning objectives
Future mobile network technologies (B5G, 6G, i.e. next-G) will allow the creation of new applications that will transform the way people live, work and interact with the environment. The educational objectives of the proposed seasonal school are to understand and to learn:
- the architectures of future cellular systems with regard to the radio interface, the wired segment and the software components such as virtualized entities, edge computing and AI-aided resource allocation;
- the main features of data traffic transport and routing technologies in 5G/6G networks, telemetry techniques and advanced traffic conditioning techniques; the role of AI in Next-G Softwarized neTworks, including how it can be used to automate network operations, optimize resource allocation, and enhance the overall user experience.
- the emerging services (VR, telemedicine, metaverse) that may be delivered by next-G networks and how they are able to meet the stringent requirements that such services require;
- the impact of the aforementioned services on the sustainability of the planet and the global challenges of the 21st century.
The Seasonal School ARTIST has been designed to critically evaluate and elaborate on these new technologies and the opportunities that are offered by next-G network architectures.
Teaching methodologies
ARTIST is entirely delivered in English and will include a mix of front teaching and hands-on sessions. The in-class teaching consists of focus sessions on key topics, industrial talks, brainstorming and break-out sessions. The hands-on part will take place through laboratory sessions organized over 4 afternoons.
Target participants
Main candidates for attendance are Master of Science (Laurea Magistrale) students in the area of Computer Science, Telecommunication Engineering, Electronic Engineering, Aerospace Engineering, Biomedical Engineering, Automation Engineering. Postgraduate students and PhD students in the aforementioned disciplines interested in the Seasonal School topics are also welcome.
Coordinator and key teaching staff
Coordinators: Prof. P. Castoldi; Prof. L. Valcarenghi; Dr. A. Sgambelluri:
Key teaching staff: Prof. Piero Castoldi, Prof. Luca Valcarenghi, Dr.ssa Molka Gharbaoui, Dr. Sgambelluri, Dr. Nadimi-Goki, Dr.ssa Anna Lina Ruscelli, Dr. Sujit SahuKumar, Dr. Gabriele Cecchetti
Hands-on: Dr. Sgambelluri, Dr. Ismail, Dr. Paolini, Dr. Cossu
SDGs (https://sdgs.un.org/goals)
SDG9 - Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
SDG11 - Make cities and human settlements inclusive, safe, resilient and sustainable