Overview
The Ubiquitous Internet research group at the Institute of Informatics and Telematics (IIT) of the National Research Council studies new paradigms and technologies for the Next-Generation Internet, envisioned as a continuous fabric of data, devices, and networked systems.
Our focus is on the edge of the Internet, where people, sensors, and intelligent systems interact and where real-time decisions increasingly take place. We develop technologies for pervasive, human-centric intelligence, enabling systems to learn from data, adapt autonomously, and collaborate across heterogeneous environments.
Our research spans distributed AI, edge orchestration, 5G/6G, as well as radically innovative Internet paradigms and technologies, such as the Quantum Internet. These solutions are applied in several application domains, like intelligent mobility, digital health, and Industry contexts, with the goal of making digital services adaptive, resilient, and deeply aligned with human needs and societal impact.
Research Laboratories
The group is structured into four laboratories, each addressing a specific set of research challenges while contributing to a common scientific vision.
AI & DATA SCIENCE
- Decentralized AI
- Resource-efficient AI
- (LLM) Computational Cognitive/Social Science
- Causal AI & hybrid human-AI decision making
PERVASIVE NETWORKING & COMPUTING
- 5G/6G networks
- Edge/cloud computing
- Programmable data networks
- Networks of Connected Autonomous Vehicles (CAVs)
- TSN & Metaverse
- Digital research infrastructures
DIGITAL HEALTH
- AI-empowered m-Health systems (Experimental design and evaluation through clinical trials)
- GenAI4HumanSensing (synthetic generation of wearable sensor data through GAN and foundational models, LLMs for physiological and behavioural data analysis)
- Personalized Federated Learning for m-Health
|QUANTUM⟩
- Quantum Key Distribution
- Quantum Internet Applications & Protocols
- Modular/Distributed Quantum Computing
- Quantum Machine Learning
Opportunities for PhD Students
We are always seeking highly motivated university graduates with a strong academic background who are interested in pursuing a PhD on different topics.
Prospective students are encouraged to contact the group to discuss collaboration opportunities, research topics, and ongoing projects:
- AI & Data science: Dr. Chiara Boldrini
- Pervasive Networking & Computing: Dr. Raffaele Bruno
- Digital health: Dr. Franca Delmastro
- |Quantum⟩: Dr. Claudio Cicconetti