I am a lecturer (assistant professor) at the School of Electronic Engineering and Computer Science of Queen Mary University of
London. I am also Alan Turing Institute fellow and PI on the EPSRC New Investigator Award project
My research interests cover a broad
spectrum of topics in both networks and systems. Specifically, they span network monitoring, networking systems
performance characterization and Software Defined Networking. Lately, I have been also focusing on understanding how better
dataplane programmability can impact the design of networks as well as their services. Details of my publications can be found
on my Google Scholar profile
or my publications page. I co-authored “Re-architecting datacenter networks and stacks for low
latency and high performance”, awarded with the best paper at ACM SIGCOMM 2017, which proposes a new congestion control approach
for datacenter networks that leverage dataplane programmability. I also acted as joint investigator on multiple projects, both
EU H2020 (ENDEAVOUR and SSICLOPS) and UK EPSRC (EARL).
I am always looking for motivated students willing to collaborate with me.
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
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
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
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