Tutorial 1 (Monday, June 21, 9am-12pm PDT): Prof. Wei Yu, University of Toronto Massive Random Access and Massive MIMO
Tutorial 2 (Tuesday, June 22, 9am-12pm PDT): Prof. Negar Kiyavash, École polytechnique fédérale de Lausanne A Tutorial on Network Causal Inference: Theory and Applications
Tutorial 3 (Tuesday + Wednesday, June 22 + 23, 1:00-2:30pm PDT): Prof. Michelle Effros, California Institute of Technology Network Information Theory
Tutorial 4 (Wednesday, June 23, 9am-12pm PDT): Prof. Douglas Stebila, University of Waterloo Post-quantum Cryptography From the Learning with Errors Problem
Tutorial 5 (Thursday, June 24, 9am-12pm PDT): Prof. Lizhong Zheng, Massachusetts Institute of Technology Understanding Deep Learning With an Information Geometric Method
Tutorial 6 (Friday, June 25, 9am-12pm PDT): Prof. David Tse, Stanford University, Padovani Lecturer Speeding up Bitcoin
Poster Session 1: Monday, June 21, 1:00-2:30 pm PDT
Poster Session 2: Thursday, June 24, 1:00-2:30 pm PDT