Canceled: 2020 North American School of Information Theory

Considering the world-wide situation and outlook regarding COVID-19, we have decided to cancel the 2020 IEEE North American School of Information Theory. Originally, the 2020 North American School of Information Theory had been scheduled to be held July 8-10, 2020 at the University of British Columbia, Vancouver, Canada.

Canceled: 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