• We are organising LSIT 2021 as a virtual event!


    The sixth London Symposium on Information Theory (LSIT) will be held on 19-21 May 2021 as a fully virtual event. This will be a three-day event, with the first day devoted to Information-Theoretic Foundations of Learning Algorithmsthe second day dedicated to Information-Theoretic Security and Privacy and the last day dedicated to Information-Theoretic Methods in Distributed Learning.

    For more information see the event program and register via the event pageWe look forward to seeing you, wherever you will be connecting from! 



  • Congratulations to our team from IPC LAB for winning the 3rd award in the ITU AI/ML in 5G challenge competing against 911 teams. Well done!

  • Congratulations to both IPC LAB teams to make it to the Grand Finale in the ITU AI/ML in 5G challenge. Team rankings can be found here.
    Team1: "Imperial_IPC1", Members: Mahdi Boloursaz Mashhadi, Mikolaj Jankowski, Tze-Yang Tung, Szymon Kobus, Challenge: "ML5G-PHY Beam-Selection"
    Team2: "I******L diagnostics", Members: Mohammad Malekzadeh, Burak Hasircioglu, Nitish Mital, Mehmet Emre Ozfatura, Kunal Katarya, Challenge: "Privacy Preserving AI/ML in 5G networks for healthcare applications" 


  • Congratulations to IPC-Lab alumnus Mohammad Mohammadi Amiri for receiving the Eryl Cadwallader Davies Outstanding PhD Thesis Award of the Department of Electrical and Electronic Engineering at Imperial College London.
    His PhD thesis titled “Wireless coded caching and computing” can be accessed from the following link:

  • Our paper “Communication without interception: Defense against modulation detection” has received the Best Paper Award at the 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) in Ottawa, Canada.

  • Congratulations to IPC-Lab alumnus Giulio Giaconi, for receiving the IEEE Information Theory Society UK and Ireland Chapter Best PhD Thesis Award in 2018.
    His thesis is titled “Information-theoretic privacy in smart meters”, and can be accessed at:
  • Call for Papers for the IEEE JSAC Special Issue on Machine Learning in Wireless Communication. 
    Consider submitting your high-quality research results involving applications of machine learning techniques to wireless communication systems. Deadline is December 15th, 2018 (No extensions!)