2021 IEEE North American School of Information Theory
- Start Date: 06/21/2021
- End Date: 06/25/2021
Online
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
For more details and to register for this event, please visit the main event site here.