Francesco Bronzino
name.lastname@ens-lyon.fr
Office GN1.354
46 Allée d'Italie
69003 Lyon, France
I am an Associate Professor (Maître de Conférences) in computer science at École Normale Supérieure de Lyon and I am a member of LIP. I’m also co-founder and CTO of NetMicroscope.
My research focuses broadly on leveraging emergent technologies to engineer software systems designed to measure and improve network service performance.
Before joining ENS Lyon, I was a Research Scientist at Nokia Bell Labs as well as a Post-Doc at Inria, Paris. I obtained a Ph.D. from WINLAB at Rutgers University.
Recent news
Sep 30, 2024 | Our work developing a spatial analysis technique on crowdsourced datasets to construct stable boundaries for sampling Internet performance has been accepted and will appear at ACM Sigmetrics 2025. Congrats to Taveesh for leading this work! |
---|---|
Sep 30, 2024 | Our work on developing VideoJam, a video analytics architecture capable of handling a mix of fixed and mobile cameras has been accepted and will appear at ACM/IEEE SEC 2024. Congrats to my PhD student Youssouph for leading this work! |
Sep 30, 2024 | I have defended my HDR! If you are interested in knowing more, you can checkout the defense recording or take a look at the manuscript. |
Sep 30, 2024 | We have received an ANR award to develop a new privacy-oriented geolocalization architecture! This is a collaboration with Inria and Sentiens. |
Apr 15, 2024 | If you are interested in hearing more about NetDiffusion and, in general, our work on ML for networks, checkout our new NetML blog! |
Selected publications
- SIGMETRICS
- SIGMETRICSNetDiffusion: Network Data Augmentation Through Protocol-Constrained Traffic GenerationProceedings of the ACM on Measurement and Analysis of Computing Systems, 2024
- SECOVIDA: Orchestrator for Video Analytics on Disaggregated ArchitectureIEEE/ACM Symposium on Edge Computing, 2024
- SECVideoJam: Self-Balancing Architecture for Live Video AnalyticsIEEE/ACM Symposium on Edge Computing, 2024
- CoNEXT
- SIGMETRICSTraffic Refinery: Cost-Aware Data Representation for Machine Learning on Network TrafficProceedings of the ACM on Measurement and Analysis of Computing Systems, 2021
- PMCNOVN: A named-object based virtual network architecture to support advanced mobile edge computing servicesElsevier Pervasive and Mobile Computing, 2020
- SIGMETRICSInferring Streaming Video Quality from Encrypted Traffic: Practical Models and Deployment ExperienceProceedings of the ACM on Measurement and Analysis of Computing Systems, 2019
- SECScalability and Performance Evaluation of Edge Cloud Systems for Latency Constrained ApplicationsIn IEEE/ACM Symposium on Edge Computing, 2018