Francesco Bronzino

squared_high.jpg

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.

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. I’m also co-founder and CTO of NetMicroscope.

Recent news

Jun 10, 2025 I am honored to be nominated Junior member of the Institut universitaire de France starting October 2025!
Dec 25, 2024 Our work developing a framework for end-to-end optimization of ML-based traffic analysis pipelines has been accepted at USENIX NSDI 2025. Congrats to Gerry for leading this work!
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!
Click here for past news

Selected publications

  1. SIGMETRICS
    Beyond Data Points: Regionalizing Crowdsourced Latency Measurements
    Taveesh Sharma, Paul Schmitt, Francesco Bronzino, Nick Feamster, and Nicole Marwell
    Proceedings of the ACM on Measurement and Analysis of Computing Systems, 2025
    PDF
  2. NSDI
    CATO: End-to-end Optimization of ML Traffic Analysis Pipelines
    Gerry Wan, Shinan Liu, Francesco Bronzino, Nick Feamster, and Zakir Durumeric
    USENIX Symposium on Networked Systems Design and Implementation, 2025
    PDF
  3. SIGMETRICS
    NetDiffusion: Network Data Augmentation Through Protocol-Constrained Traffic Generation
    Xi Jiang, Shinan Liu, Aaron Gember-Jacobson, Arjun Nitin Bhagoji, Paul Schmitt, Francesco Bronzino, and Nick Feamster
    Proceedings of the ACM on Measurement and Analysis of Computing Systems, 2024
    PDF
  4. SEC
    OVIDA: Orchestrator for Video Analytics on Disaggregated Architecture
    Manavjeet Singh, Sri Pramodh Rachuri, Bryan Bo Cao, Abhinav Sharma, Venkata Bhumireddy, Francesco Bronzino, Samir R. Das, Anshul Gandhi, and Shubham Jain
    IEEE/ACM Symposium on Edge Computing, 2024
    PDF
  5. SEC
    VideoJam: Self-Balancing Architecture for Live Video Analytics
    Youssouph Faye, Francescomaria Faticanti, Shubham Jain, and Francesco Bronzino
    IEEE/ACM Symposium on Edge Computing, 2024
    PDF
  6. CoNEXT
    LEAF: Navigating Concept Drift in Cellular Networks
    Shinan Liu, Francesco Bronzino, Paul Schmitt, Arjun Nitin Bhagoji, Nick Feamster, Hector Garcia Crespo, Timothy Coyle, and Brian Ward
    Proceedings of the ACM on Networking, 2023
    PDF
  7. SIGMETRICS
    Traffic Refinery: Cost-Aware Data Representation for Machine Learning on Network Traffic
    Francesco Bronzino, Paul Schmitt, Sara Ayoubi, Hyojoon Kim, Renata Teixeira, and Nick Feamster
    Proceedings of the ACM on Measurement and Analysis of Computing Systems, 2021
    PDF
  8. PMC
    NOVN: A named-object based virtual network architecture to support advanced mobile edge computing services
    Francesco Bronzino, Sumit Maheshwari, Ivan Seskar, and Dipankar Raychaudhuri
    Elsevier Pervasive and Mobile Computing, 2020
    PDF
  9. SIGMETRICS
    Inferring Streaming Video Quality from Encrypted Traffic: Practical Models and Deployment Experience
    Francesco Bronzino, Paul Schmitt, Sara Ayoubi, Guilherme Martins, Renata Teixeira, and Nick Feamster
    Proceedings of the ACM on Measurement and Analysis of Computing Systems, 2019
    PDF
  10. SEC
    Scalability and Performance Evaluation of Edge Cloud Systems for Latency Constrained Applications
    Sumit Maheshwari, Dipankar Raychaudhuri, Ivan Seskar, and Francesco Bronzino
    In IEEE/ACM Symposium on Edge Computing, 2018
    PDF