ML INFN
ML_INFN is the national initiative of INFN to coordinate the effort towards the widespread application of machine learning technologies to the research activities on Particle Physics, Nuclear Physics, Theoretical Physics, and Applied Physics. The project aims at improving the skills of INFN researchers in the use of AI-driven technologies (machine learning, deep learning) by providing them with a common, expandable hardware platform as well as the possibility to share the knowledge that already exists at various levels within the community.
Websites:
Thesis Opportunities:
For information regarding thesis opportunities, please contact: Stefano Giagu.
Local Coordinator
Stefano Giagu| Name | Surname | Role | Position |
|---|---|---|---|
| Giulia | De Bonis | Dipendente | Ricercatrice |
| Alessandro | De Salvo | Dipendente | Primo Tecnologo |
| Stefano | Giagu | Associato | Prof. Associato |
| Alessandro | Lonardo | Dipendente | Tecnologo |
| Carlo | Mancini Terracciano | Associato | Ricercatore TD-A |
| Francesco | Safai Tehrani | Dipendente | Primo Ricercatore |
| Marco | Serra | Dipendente | Dirigente Tecnologo |
| Francesco | Simula | Dipendente | Ricercatore |
| Piero | Vicini | Dipendente | Primo Ricercatore |
| Cecilia | Voena | Associato | Prof. Associato |