About me

I am a lecturer (assistant professor) at the School of Electronic Engineering and Computer Science of Queen Mary University of London and Alan Turing Institute fellow.

My research interests cover a broad spectrum of topics in both networks and systems. Specifically, they span network monitoring, data plane offloading, end host networking and Software Defined Networking. Details of my publications can be found on my Google Scholar profile or my publications page.

My research has been awarded with the best paper at ACM SIGCOMM 2017, the EPSRC New Investigator and the Facebook Networking Systems Research RFP 2020.

I am always looking for motivated students willing to collaborate with me.

Selected Publications

  1. Ben Basat R., Ramanathan S., Li Y., Antichi G., Yu M., Mitzenmacher M.
    PINT: Probabilistic In-band Network Telemetry
    ACM SIGCOMM, New York, New York, US, 2020
    Acceptance ratio: 21%
    PDF BibTex Slides

  2. Chiesa M., Sedar R., Antichi G., Borokhovich M., Kamisinski A., Nikolaidis G., Schmid S.
    PURR: A Primitive for Reconfigurable Fast Reroute
    ACM CoNEXT, Orlando, Florida, US, 2019
    Acceptance ratio: 16%
    PDF BibTex Slides

  3. Neugebauer R., Antichi G., Zazo J.F., Audzevich Y., López-Buedo S., Moore A.W.
    Understanding PCIe performance for end host networking
    ACM SIGCOMM, Budapest, Hungary, 2018
    Acceptance ratio: 18%
    PDF BibTex Slides Video

  4. Handley M., Raiciu C., Agache A., Voinescu A., Moore A.W., Antichi G., Wójcik M.
    Re-architecting datacenter networks and stacks for low latency and high performance
    ACM SIGCOMM, Los Angeles, California, US, 2017
    Acceptance ratio: 14% BEST PAPER AWARD
    PDF BibTex Video

  5. Antichi G., Castro I., Chiesa M., Fernandes E., Lapeyrade R., Kopp D., Han J., Bruyere M., Dietzel C., Gusat M., Moore A.W., Owezarski P., Uhlig S., Canini M.
    ENDEAVOUR: A Scalable SDN Architecture for Real-World IXPs
    IEEE Journal on Selected Area of Communication, Special issue on Emerging Technologies in Software-driven Communication, 2017
    Impact factor: 8.085
    PDF BibTex