Bruno Casella
Ph.D. student in Modeling and Data Science, University of Turin
Parallel Computing group
Via Pessinetto 12, 10149 Torino – Italy
Email: bruno.casella@unito.it
Short Bio
Bruno Casella is a postdoctoral researcher at the Computer Science Department of the University of Turin. His research focuses on federated, distributed, and theoretically grounded learning methods. In less than four years of research activity, he has achieved 18 scientific publications (in conference and workshop proceedings, and in journals) and an H-index of 8 (source: Google Scholar).
He received his PhD in Modeling and Data Science at UniTO on the 26.06.2025 with a thesis entitled “Advancing Federated Learning. Towards Decentralization and Personalized Models“.
He graduated in Computer Engineering in 2020 with a thesis on the performance of AlphaZero in different scenarios.
He also received the Master’s Degree in Data Science for management in 2021 with a thesis on Federated Transfer Learning.
Fields of interest
- Federated Learning
- Deep learning
- Time Series
- Computer Vision
- Continual Learning
- High Performance Computing