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
Dec 25, 2024 | Our work developing a framework for end-to-end optimization of ML-based traffic analysis pipelines has been conditionally accepted at USENIX NSDI 2025. Congrats to Gerry for leading this work! |
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Dec 8, 2024 | I have many open positions at different levels, from Master internship, to PhD and Postdoc. Checkout the positions page. |
Dec 4, 2024 | Our Sigmetrics work was featured on the Internet Society’s Pulse Blog |
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! |
Selected publications
- SIGMETRICS
- NSDICATO: End-to-end Optimization of ML Traffic Analysis PipelinesUSENIX Symposium on Networked Systems Design and Implementation, 2025
- 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