2020 North American School of Information Theory

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The 2020 North American School of Information Theory will be held July 8-10, 2020 at the University of British Columbia, Vancouver, Canada.

2020 North-American School of Information Theory

July 8-10, 2020, Vancouver, Canada

More information at http://conferences.ece.ubc.ca/nasit2020

Overview

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. Michelle Effros, California Institute of Technology 
Network Information Theory

Prof. Negar Kiyavash, Georgia Institute of Technology 
Causal Inference

Prof. David Tse, Stanford University 
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

More information at http://conferences.ece.ubc.ca/nasit2020