2020 IEEE North American School of Information Theory

Covid-19 Update

Considering the world-wide situation and outlook regarding COVID-19, we have decided to cancel the 2020 IEEE North American School of Information Theory.

We hope the Board of Governors of the IEEE Information Theory Society will allow us to host NASIT 2021 sometime in the summer of 2021 and that the original set of speakers will be available to participate.

Best wishes,

Lutz, Lele, Ian

About the School

The 2020 IEEE North American School of Information Theory will be held Wednesday, July 8 through Friday, July 10, 2020 at the University of British Columbia, Vancouver in Canada. This will be the 13th Annual North American School of Information Theory and follows a series of events designed to provide graduate students with opportunities to:

  • Learn from senior lecturers in the field who will present long-format tutorials;

  • Participate in a stimulating and inviting forum of scientists;

  • Present their own work for feedback and potential collaboration;

  • Deepen their connections with the community.

Program

The school will be held over three days and will consists of

  • Senior lecturers presenting long-format (2 1/2 hour) tutorials;

  • Students presenting their own work in poster sessions.

Lecturers

Speaker Photos 
  • Prof. Douglas Stebila, University of Waterloo
    Post-quantum Cryptography From the Learning with Errors Problem

  • Prof. David Tse, Stanford University, Padovani Lecturer for 2020
    Operating Blockchains at Physical Limits

  • Prof. Wei Yu, University of Toronto
    Massive Random Access and Massive MIMO

  • Prof. Lizhong Zheng, Massachusetts Institute of Technology
    Understanding Deep Learning With an Information Geometric Method

Program Organizers

Past Schools

Sponsors / Partners

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