2021 IEEE North American School of Information Theory
Welcome
Please check out this brief Welcome video with a few words about the school and logistics from the organizers.
Updates
Tutorials including Q&A will be synchronous events, without recording.
We would like to encourage interactions between tutorial speakers and (student) attendees, in the spirit of the School with and for students, and similar to the in-person NASIT events. Therefore we will also not record sessions.
Questions can be asked during the tutorials, and tutorial moderators will help with asking and addressing questions that have been posted in the chat.
About the School
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
The school will be a virtual event held over five days and will consists of
Senior lecturers presenting long-format (2 1/2 hour) tutorials;
Students presenting their own work in poster sessions.
Participation
The tutorials will be delivered in zoom meetings and the poster sessions will take place in virtual poster rooms using the web-conferencing space Gather.town.
Links to these events will be sent out to registered participants on June 20, 2021.
Lecturers
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(for tutorial schedule, see Schedule)
Tutorial 1 (Monday, June 21):
Prof. Wei Yu, University of Toronto
Massive Random Access and Massive MIMO
Tutorial 2 (Tuesday, June 22):
Prof. Negar Kiyavash, École polytechnique fédérale de Lausanne
A Tutorial on Network Causal Inference: Theory and Applications
Tutorial 3 (Tuesday + Wednesday, June 22 + 23):
Prof. Michelle Effros, California Institute of Technology
Network Information Theory
Tutorial 4 (Wednesday, June 23):
Prof. Douglas Stebila, University of Waterloo
Post-quantum Cryptography From the Learning with Errors Problem
Tutorial 5 (Thursday, June 24):
Prof. Lizhong Zheng, Massachusetts Institute of Technology
Understanding Deep Learning With an Information Geometric Method
Tutorial 6 (Friday, June 25):
Prof. David Tse, Stanford University, Padovani Lecturer
Speeding up Bitcoin
Program Organizers
Prof. Lutz Lampe, University of British Columbia, General Co-chair
Prof. Lele Wang, University of British Columbia, General Co-chair
Prof. Ian Blake, University of British Columbia, Advisor
Prof. Anas Chaaban, University of British Columbia, Okanagan, Treasurer
Prof. Yu Xiang, University of Utah, NSF Travel Grants Chair
Prof. Robert Rohling, ICICS, University of British Columbia, Liaison
Prof. Brian Marcus, PIMS, University of British Columbia, Liaison
Prof. Ozgur Yilmaz, PIMS, University of British Columbia, Liaison
Prof. Kevin Leyton-Brown, CAIDA, University of British Columbia, Liaison
Prof. Mark Schmidt, CAIDA, University of British Columbia, Liaison
Prof. Chen Feng, University of British Columbia, Okanagan, Liaison
Prof. Aaron Gulliver, University of Victoria, Liaison
Prof. Jie Liang, Simon Fraser University, Liaison
Past Schools
Sponsors / Partners
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