Francesco Bronzino
name.lastname@ens-lyon.fr
Office M7.303
46 Allée d'Italie
69003 Lyon, France
I am an Associate Professor (Maître de Conférences HDR) in computer science at École Normale Supérieure de Lyon and I am a member of LIP. I’m also a Junior fellow of the Institut universitaire de France (2025-2030).
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
| Jan 14, 2026 | Checkout our guest blog post at the Internet Society Pulse on our plans for Internet Geolocation. |
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| Dec 19, 2025 | I am extremely proud of Johann and Youssouph who successfully defended their PhD thesis! |
| Dec 13, 2025 | Our work developing NetSSM, a tool to generate synthetic multi-flow and state-aware network traffic, will appear at ACM CoNEXT 2026. Congrats to Andrew for leading this work! |
| Dec 5, 2025 | Great to see Augustin present our ideas for the future of geolocation at the IAB workshop on IP address geolocation. Checkout the video. |
| Nov 20, 2025 | We’ve launched NetML.io, a hub for our research applying machine learning to network performance, security, and traffic analysis—featuring our latest projects, publications, datasets, and course materials. |
Selected publications
- CoNEXTNetSSM: Multi-Flow and State-Aware Network Trace Generation using State-Space ModelsProceedings of the ACM on Networking, 2026
- SIGMETRICS
- NSDICATO: End-to-end Optimization of ML Traffic Analysis PipelinesUSENIX Symposium on Networked Systems Design and Implementation, 2025
- CoNEXTJITI: Dynamic Model Serving for Just-in-Time Traffic InferenceProceedings of the ACM on Networking, 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 , 2018