Francesco Bronzino

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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 in the MiMove group at Inria, Paris. I obtained a Ph.D. from WINLAB at Rutgers University.

Recent news

Feb 27, 2023 Congratulations to Razanne for successfully defending her PhD
Jan 25, 2023 Our work on evaluating the performance of Apple’s iCloud Private Relay has been accepted and will appear at PAM 2023
Sep 1, 2022 While I currently have no PhD student positions open, I am always looking for master students interested in doing a research period in my group. Drop me an email if interested
Oct 4, 2021 Our work on developing a new framework and system that enables the joint evaluation of both machine learning performance and systems-level costs of different representations of network traffic has been accepted and will appear at ACM Sigmetrics 2022
Sep 16, 2021 We have received a joint ANR-NSF award to study new ways to model traffic for machine learning on modern networks! This is a collaboration with University of Chicago and Stanford University.
Click here for past news

Selected publications

  1. 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
  2. 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
  3. 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
  4. 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
    PDF