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 ENSL, 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.

Email: francesco [dot] bronzino [at] ens-lyon [dot] fr
Work Address: Office GN1.354, 46 Allée d'Italie, 69003 Lyon, France
Full CV and Academic Record

Latest News:

  • 27/02/23: Congratulations to Razanne for successfully defending her PhD!
  • 25/01/23: Our work on evaluating the performance of Apple's iCloud Private Relay has been accepted and will appear at PAM 2023!
  • 04/11/22: I am looking for potential Post-Doc candidates interested in working with me at École normale supérieure de Lyon / LIP. The subject is open as long as it aligns to with my ongoing work (check my current projects). Drop me an email if interested!
  • 01/09/22: 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!
  • 22/11/21: I have PhD and internship positions available across a number of themes at the intersection of network systems and machine learning. If you are interested in joining my group, take a look at the available topics.
  • 4/10/21: 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! PDF
  • 16/09/21: 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.
  • 15/07/21: We have received an ANR award to study distributed allocation schemes for edge computing infrastructures tailored for AI-intensive processing tasks! This is a collaboration with Avignon Université, Inria, and CNAM.
  • 01/07/21: Congratulations to Pramodh and Francescomaria for two papers accepted at the HotEdgeVideo Workshop co-located with ACM Mobicom 2021! PDF 1PDF 2
  • 30/05/21: Many thanks to the France Chicago Center of the University of Chicago for supporting the collaboration between Prof. Feamster and I on "Modeling Modern Network Traffic: From Data Representation to Automated Machine Learning"! Link
  • 30/05/21: Congratulations to Razanne for getting her poster paper titled "Impact of Connectivity Degradation on Networked Robotic Swarm Cooperation" accepted at DCOSS 2021! PDF
  • 18/12/20: Our work on characterizing service provider response during the COVID-19 pandemic has been accepted to appear at PAM 2021. Congrats Shinan and the team! PDF
  • 13/11/20: I am looking for master level students interested in doing their thesis with me. Take a look at the available topics. Link
  • 13/11/20: Interested in knowing how the Internet/ISPs responded to COVID-19? Check out our paper on "Interconnection Changes in the United States" at the IAB COVID-19 Workshop (collaboration with UChicago and ComcastPDF
  • 16/10/20: Our work on AR using embedded edge devices has been accepted to IEEE CCNC 2021. Congrats Ayoub on his first accepted paper!
  • 18/09/20: Our work on NOVN will appear in the Elsevier Pervasive and Mobile Computing Journal. PDF
  • 01/09/20: I moved to Université Savoie Mont Blanc as an Assistant Professor
  • 09/06/20: We presented our paper on video quality inference at Sigmetrics 2020. Video
  • 16/10/19: Our work on video quality inference from encrypted traffic has been accepted and will appear at ACM Sigmetrics 2020 PDF
  • 21/08/19: Our research on residential broadband was highlighted in the Wall Street Journal: Link
    (available also on the Aug 21st edition)
  • 27/03/19: We presented our paper on Service Traceroute at PAM 19. PDF