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25–30 June 2023, Taipei, Taiwan
The 2023 IEEE International Symposium on Information Theory (ISIT)

The IEEE International Symposium on Information Theory (ISIT) is the premier international conference series dedicated to the advancement of information theory and related areas. It brings together an international community of researchers and practitioners each year to present and discuss new research results and perspectives on future developments relevant to all areas of information theory, including big data analytics, source and channel coding, communication theory and systems, cryptography and security, detection and estimation, emerging applications, networks, network coding, signal processing, and statistical/machine learning.

Hosted by the IEEE Information Theory Society, ISIT features contributed papers, the Shannon lecture, and plenary talks, as well as invited and tutorial sessions.

The ISIT 2023 will include a list of interesting topics related to information theory but not limited to the following areas:

  • Big data analytics;
  • Coding for communication and storage;
  • Coding theory;
  • Combinatorics and information theory;
  • Communication theory;
  • Complexity and computation theory;
  • Compressed sensing and sparsity;
  • Cryptography and security;
  • Deep learning for communication networks;
  • Distributed storage;
  • Emerging applications of information theory;
  • Information theory and statistics;
  • Information theory in biology;
  • Information theory in computer science;
  • Network coding and applications;
  • Network data analysis;
  • Network information theory;
  • Pattern recognition and machine learning;
  • Quantum information and coding theory;
  • Shannon theory;
  • Signal processing;
  • Source and channel modeling;
  • Source coding and data compression;
  • Wireless communication and networks.

https://isit2023.org/

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