2019 IEEE North American School of Information Theory

About the School

The 2019 IEEE North American School of Information Theory will be held Tuesday, July 2 through Friday, July 5, 2019 in the Photonics Center at Boston University. This will be the 12th 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.

Lecturers

Speaker Photos 
  • Prof. Alexander Barg, University of Maryland, College Park
    Erasure codes for distributed storage and related problem

  • Prof. Tara Javidi, University of California, San Diego
    Sequential Acquisition of Information: From Active Hypothesis Testing to Active Learning

  • Prof. Maxim Raginsky, University of Illinois, Urbana-Champaign
    Information, Concentration, and Learning

  • Prof. Kannan Ramchandran, Padovani Lecturer, University of California, Berkeley
    On duality, encryption, sampling and learning: the power of codes

Program Organizers

Sponsors

Sponsor Logos