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
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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