IEEE Journal on Selected Areas in Information Theory
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.
Currently open JSAIT calls for papers are listed below.
Recent issues of JSAIT are listed below.
Proposals may be developed by anyone having interest and expertise in a technical area within the scope of the IEEE Information Theory Society.
All submissions to JSAIT must be in response to a specific Call for Papers and adhere to the deadlines and any specific instructions therein. Papers are submitted via Scholar One.