Francesco Bronzino

squared_high.jpg

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

Aug 4, 2026 We have received an ANR award to develop the foundations for systematic synthetic data generation in Network Digital Twins! This is a collaboration with EURECOM, École polytechnique, Orange, and Nokia Bell Labs.
Jun 9, 2026 I am looking for a postdoc / research engineer to work on our project on home network performance monitoring.
Jun 4, 2026 We have organized our first Workshop on the Role of Generative AI in Networking at the University of Chicago Boyer Center in Paris. Stay tuned for our upcoming report!
May 26, 2026 Our work on developing a systematic methodology for analyzing the privacy implications of geolocation ecosystems has been accepted to PETS 2026. Congrats to Augustin for leading this work!
May 26, 2026 Many thanks to Comcast for supporting through their Innovation Fund our work on developing a framework for home networks performance analysis!
Click here for past news

Selected publications

  1. CoNEXT
    NetSSM: Multi-Flow and State-Aware Network Trace Generation using State-Space Models
    Andrew Chu, Xi Jiang, Shinan Liu, Arjun Nitin Bhagoji, Francesco Bronzino, Paul Schmitt, and Nick Feamster
    In ACM CoNEXT 2026
    PDF
  2. PETS
    SoK: Privacy Threats in Geolocation Ecosystems
    Augustin Laouar, Paul Lachat, Loïc Desgeorges, Vincent Roca, Mathieu Cunche, and Francesco Bronzino
    In PETS 2026
    PDF
  3. CoNEXT
    Less is More: Optimizing Probe Selection Using Shared Latency Anomalies
    Taveesh Sharma, Andrew Chu, Paul Schmitt, Francesco Bronzino, Nick Feamster, and Nicole Marwell
    In ACM CoNEXT 2026
    PDF
  4. SIGMETRICS
    Beyond Data Points: Regionalizing Crowdsourced Latency Measurements
    Taveesh Sharma, Paul Schmitt, Francesco Bronzino, Nick Feamster, and Nicole Marwell
    In ACM Sigmetrics 2025
    PDF
  5. NSDI
    CATO: End-to-end Optimization of ML Traffic Analysis Pipelines
    Gerry Wan, Shinan Liu, Francesco Bronzino, Nick Feamster, and Zakir Durumeric
    In USENIX NSDI 2025
    PDF
  6. CoNEXT
    JITI: Dynamic Model Serving for Just-in-Time Traffic Inference
    Xi Jiang, Shinan Liu, Saloua Naama, Francesco Bronzino, Paul Schmitt, and Nick Feamster
    In ACM CoNEXT 2025
    PDF
  7. 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
    In ACM Sigmetrics 2024
    PDF
  8. 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
    In IEEE/ACM SEC 2024
    PDF
  9. SEC
    VideoJam: Self-Balancing Architecture for Live Video Analytics
    Youssouph Faye, Francescomaria Faticanti, Shubham Jain, and Francesco Bronzino
    In IEEE/ACM SEC 2024
    PDF
  10. 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
    In ACM CoNEXT 2023
    PDF
  11. 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
    In ACM Sigmetrics 2022
    PDF
  12. 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
    In ACM Sigmetrics 2020
    PDF
  13. 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 SEC 2018
    PDF
  14. ICN
    MFTP: A Clean-Slate Transport Protocol for the Information Centric MobilityFirst Network
    Kai Su, Francesco Bronzino, KK Ramakrishnan, and Dipankar Raychaudhuri
    In ACM ICN 2015
    PDF