2021 IEEE North American School of Information Theory

  • Start Date: 06/21/2021
  • End Date: 06/25/2021
Location: 

Online

Description: 

The 2021 IEEE North American School of Information Theory will be held Monday, June 21 through Friday, June 25 2021. 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

 

Lecturers:

Prof. Michelle Effros, California Institute of Technology

Network Information Theory

 

Prof. Negar Kiyavash, École polytechnique fédérale de Lausanne

Causal Inference

 

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 

Other Information: 

For more details and to register for this event, please visit the main event site here.