Luca Becchetti
Position:
- December 2012 - present: Associate Professor at Dipartimento di Ingegneria Gestionale "Antonio Ruberti", Sapienza University of Rome.
- March 2001 - December 2012: Research associate at Dipartimento di Ingegneria Gestionale "Antonio Ruberti", Sapienza University of Rome.
Education:
- PhD in computer engineering at Dipartimento di Ingegneria Gestionale "Antonio Ruberti", Sapienza University of Rome, 1998
- M. Sc. in computer engineering at Dipartimento di Ingegneria Gestionale "Antonio Ruberti", Sapienza University of Rome, 1995
Vitae:
A longer version of my curriculum can be found at this link
I have a background interest in the design and analysis of algorithms for NP-hard and on-line optimization problems, with emphasis on network efficient design and resource allocation. More recently, I studied problems arising in the modelling and analysis of algorithms and techniques for the mining and analysis of large scale information networks, such as Internet and the Web.
Current research directions include the application of spectral graph theory techniques to fully distributed graph clustering and the algorithmic modelling and analysis of large complex systems. A new further research direction is the application of advanced graph mining and spectral analysis techniques in the emerging area of Network Medicine.
Membro di
Ultime pubblicazioni
| The Minority Dynamics and the Power of Synchronicity on Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms | 2024 |
| Assessment of community efforts to advance network-based prediction of protein-protein interactions on NATURE COMMUNICATIONS | 2023 |
| Expansion and flooding in dynamic random networks with node churn on RANDOM STRUCTURES & ALGORITHMS | 2023 |
| On a Voter Model with Context-Dependent Opinion Adoption on Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence | 2023 |
| On the Role of Memory in Robust Opinion Dynamics on Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence | 2023 |
| Biased opinion dynamics: when the devil is in the details on INFORMATION SCIENCES | 2022 |
| Biological Random Walks: multi-omics integration for disease gene prioritization on BIOINFORMATICS | 2022 |