Scope & Topics

International Journal on Information Theory (IJIT) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Information Theory. Authors are solicited to contribute to the journals by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Information Theory and applications.

Topics of interest include but are not limited to, the following

The topics suggested by this journal can be discussed in term of concepts, surveys, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to

  • Algorithmic information theory and Kolmogorov complexity
  • Coding theory: polar codes, LDPC, fountain codes, and modern code design
  • Communication complexity and distributed computation
  • Cryptography and complexity from an informationtheoretic perspective
  • Distributed learning, federated learning, and communicationefficient ML
  • Emerging applications of information theory in finance, genomics, and physics
  • Entropy, divergence measures, and new informationtheoretic metrics
  • Information bottleneck methods and rate distortion theory for ML systems
  • Information theoretic security, privacy, and confidentiality
  • Information theory for 6G, massive MIMO, mmWave, THz, and intelligent surfaces
  • Information theory for autonomous systems and cyberphysical systems
  • Information theory for biological, neural, and cognitive systems
  • Information theory for distributed storage, caching, and edge computing
  • Information theory for machine learning and deep learning
  • Information theory for neural compression and learned source/channel coding
  • Information theory for sensing, radar, and joint communicationsensing systems
  • Information theory in data science, big data, and highdimensional statistics
  • Informationtheoretic generalization, representation learning, and optimization
  • Informationtheoretic limits of generative models and diffusion models
  • Informationtheoretic methods for networks, graphs, and social systems
  • Interference management, coordination, and multiterminal communication
  • Joint source channel coding and endtoend learned communication systems
  • Learningaided signal processing and adaptive inference
  • Multiuser and network information theory
  • Optical and photonic communication systems (modern IT perspectives)
  • Physical layer security and secure communication protocols
  • Quantum information theory, quantum coding, and quantum communication
  • Ratedistortion theory for machine perception and taskoriented compression
  • Semantic and goal oriented communications
  • Shannon theory, finite blocklength analysis, and fundamental limits
  • Statistical signal processing, detection, and estimation theory

Important Dates

  • Submission Deadline : January 17, 2026
  • Notification                   : January 28, 2026
  • Final Manuscript Due : January 31, 2026
  • Publication Date          : Determined by the Editor-in-Chief
Call for Papers

H-Index


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