- U14, Floor: 2, Room: 2035
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Marco Savi is an Assistant Professor (RTD-A) at University of Milano-Bicocca (Milano, Italy).
He received his BSc (2010) and MSc (2012, summa cum laude) in Telecommunications Engineering (Networking area) both from Politecnico di Milano (Milano, Italy). His master thesis investigated users' privacy concerns in a Smart Grid scenario.
In June 2016 he pursued a PhD degree in Information Technology at Politecnico di Milano. During his PhD studies he worked on Content Delivery and on the emerging Network Function Virtualization (NFV) paradigm.
From March 2016 to March 2020 he worked with Fondazione Bruno Kessler (Trento, Italy) initially as Postdoc Researcher, being promoted to Expert Researcher in 2018. He was involved on several research topics including Fog Computing, Network Monitoring, SDN Multi-layer Networks and NFV.
In April 2020 he joined the Department of Informatics, Systems and Communication (DISCo) of University of Milano-Bicocca, where he joined the REDS Lab and is currently working on Multi-Access Edge Computing and on Artificial Intelligence applied to telecommunications, being also carrying on teaching activities.
Sartori, F., Savi, M., & Talpini, J. (2022). Tailoring mHealth Apps on Users to Support Behavior Change Interventions: Conceptual and Computational Considerations. APPLIED SCIENCES, 12(8) [10.3390/app12083782]. Dettaglio
Savi, M., Banfi, A., Tundo, A., & Ciavotta, M. (2022). Serverless Computing for NFV: Is it Worth it? A Performance Comparison Analysis. In IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops 2022) (pp.680-685). IEEE [10.1109/PerComWorkshops53856.2022.9767495]. Dettaglio
Alvarez-Horcajo, J., Martinez-Yelmo, I., Lopez-Pajares, D., Carral, J., & Savi, M. (2021). A Hybrid SDN Switch based on Standard P4 Code. IEEE COMMUNICATIONS LETTERS, 25(5), 1482-1485 [10.1109/LCOMM.2021.3049570]. Dettaglio
DIng, D., Savi, M., Pederzolli, F., & Siracusa, D. (2021). INVEST: Flow-based Traffic Volume Estimation in Data-plane Programmable Networks. In IFIP Networking Conference (pp.1-9). IEEE [10.23919/IFIPNetworking52078.2021.9472826]. Dettaglio
Berto, R., Napoletano, P., & Savi, M. (2021). A LoRa-Based Mesh Network for Peer-to-Peer Long-Range Communication. SENSORS, 21(13), 1-12 [10.3390/s21134314]. Dettaglio
Research and teaching assignments
- Ricercatore universitario a t.d. - Università degli Studi di MILANO-BICOCCA, 2020 - 2023