Journal on Selected Areas in Information Theory (JSAIT)

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Journal on Selected Areas in Information Theory (JSAIT)

The IEEE Journal on Selected Areas in Information Theory (JSAIT) seeks high quality technical papers on all aspects of Information Theory and its applications. JSAIT is a multi-disciplinary journal of special issues focusing on the intersections of information theory with fields such as machine learning, statistics, genomics, neuroscience, theoretical computer science, and physics. Any field that utilizes the fundamentals of information theory, including concepts such as entropy, compression, coding, mutual information, divergence, capacity, and rate distortion theory are excellent candidates for JSAIT special issues.There will also be special issues for hot topics firmly within information theory, such as new types of codes, short-packet communication, advances in multi-terminal information theory, quantum information theory, information theoretic security, and other emerging topics.

Read the most recent issue of JSAIT on IEEE Xplore.

Current CFPs:

  • JSAIT's sixth issue will focus on Coded Computing. Read the call for papers here. Papers are due March 1, 2021 (extended from Feb. 15). 
  • JSAIT's seventh issue will focus on Coding for Data Management and Delivery in Networks. Read the call for papers here. Papers are due May 1. 

Past CFPs: 

Propose a Special Issue

JSAIT welcomes proposals for special issues focusing on the intersection of information theory with other disciplines as well as on emerging areas and hot topics. Details on how to propose a special issue can be found here

Manuscript Submission Website

 Submit your manuscripts on Manuscript Central:

Editorial Board


Senior Editors

  • Rich Baraniuk, Rice University
  • Giuseppe Caire, Technical University of Berlin
  • Emmanuel Candés, Stanford University
  • Alex Dimakis, The University of Texas at Austin
  • Yonina Eldar, Weizmann Institute of Science
  • Rob Nowak, University of Wisconsin
  • Alon Orlitsky, University of California San Diego
  • David Tse, Stanford University
  • Andreas Winter, Universitat Autònoma de Barcelona
  • Aylin Yener, Pennsylvania State University
  • Raymond Yeung, The Chinese University of Hong Kong

Steering Committee (term)

  • Chair: Jeffrey Andrews, The University of Texas at Austin  (2017-2023)
  • A. Robert Calderbank, Duke University (2017-2022)
  • Negar Kiyavash, EPFL (2021-2024)
  • H. Vincent Poor, Princeton University (2017-2021)

Industrial Advisory Board (IAB) Members

  • Corinna Cortes, Google
  • Merouane Debbah, Huawei
  • Gerhard Fettweis, National Instruments; TU Dresden
  • Kristin Lauter, Microsoft
  • Nambi Seshadri, UCSD
  • Nadia Fawaz, LinkedIn
  • Tom Richardson, Qualcomm
  • Amin Shokrollahi, Kandou Bus; EPFL