Francesco Bronzino


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

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!
Dec 12, 2023 Our work on developing NetDiffusion, a tool to generate synthetic network traffic that is high fidelity and conforms to protocol specifications, has been accepted and will appear at ACM Sigmetrics 2024. Congrats to Chase for leading this work!
Oct 17, 2023 Congratulations to Johann for his first accepted paper! In this work we present an adaptive system to support ML models on network traffic and it will appear at ACM CoNEXT’s student workshop.
Sep 10, 2023 Our work on developing a new way to generate high-fidelity network traffic traces has been accepted and will appear at ACM HotNets 2023. Congrats to Chase for the great work!
Jul 4, 2023 We have received an award from the FIL to study the synthetic generation of network traffic in real time! This is a collaboration with INSA Lyon.
Click here for past news

Selected publications

    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
  2. 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
    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
  4. 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
    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
  6. 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 (SEC), 2018