2019 IEEE North American School of Information Theory

News

• Tutorial videos and PDFs of slides are now available here.

• Photos from the school are available on Google Photos.

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

• 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

• Prof. Adam Smith, Boston University
  Privacy, Stability, and Generalization

• Dr. Kalyan Veeramachaneni, Massachusetts Institute of Technology
  Hands-on Machine Learning Workshop

Program Organizers

• Prof. Salim El Rouayheb, Rutgers University, Poster Session Co-chair

• Prof. Arya Mazumdar, University of Massachusetts Amherst, Poster Session Co-chair

• Prof. Muriel Medard, Massachusetts Institute of Technology, Advisor

• Prof. Bobak Nazer, Boston University, General Chair

• Prof. Flavio du Pin Calmon, Harvard University, Publicity Chair

• Prof. Yury Polyansky, Massachusetts Institute of Technology, Technical Demos Chair

• Anand Sarwate, Rutgers University, Technical Program Chair

Sponsors