15 th International Conference on Information Theory
March 14~ 15, 2026, Vienna, Austria Scope & Topics 15th International Conference on Information Theoryserves as a premier global forum for presenting and discussing advances in the theory, methodology, and applications of Information Theory. The conference aims to bring together leading researchers, academics, and industry professionals to explore modern developments in the field and to foster meaningful collaboration across disciplines.
We invite authors to submit high quality contributions showcasing original research results, innovative projects, comprehensive survey studies, and industrial case studies that highlight significant progress in Information Theory and its diverse applications.
Topics of interest include, but are not limited to, the following - Shannon Theory, Finite Blocklength Analysis, And Fundamental Limits
- Coding Theory: Polar Codes, LDPC, Fountain Codes, And Modern Code Design
- Multi User And Network Information Theory
- Information Theory For Machine Learning And Deep Learning
- Information Theoretic Generalization, Representation Learning, And Optimization
- Information Bottleneck Methods And Rate Distortion Theory For ML Systems
- Distributed Learning, Federated Learning, And Communication Efficient ML
- Information Theory For Neural Compression And Learned Source/Channel Coding
- Semantic And Goal Oriented Communications
- Joint Source Channel Coding And End To End Learned Communication Systems
- Information Theory For 6G, Massive MIMO, Mmwave, Thz, And Intelligent Surfaces
- Interference Management, Coordination, And Multi Terminal Communication
- Statistical Signal Processing, Detection, And Estimation Theory
- Informationtheoretic Security, Privacy, And Confidentiality
- Physicallayer Security And Secure Communication Protocols
- Cryptography And Complexity From An Information Theoretic Perspective
- Quantum Information Theory, Quantum Coding, And Quantum Communication
- Communication Complexity And Distributed Computation
- Information Theory For Biological, Neural, And Cognitive Systems
- Information Theory In Data Science, Big Data, And High Dimensional Statistics
- Information Theoretic Methods For Networks, Graphs, And Social Systems
- Optical And Photonic Communication Systems (Modern IT Perspectives)
- Information Theory For Sensing, Radar, And Joint Communication Sensing Systems
- Information Theory For Autonomous Systems And Cyber Physical Systems
- Learning Aided Signal Processing And Adaptive Inference
- Emerging Applications Of Information Theory In Finance, Genomics, And Physics
- Information Theoretic Limits Of Generative Models And Diffusion Models
- Rate Distortion Theory For Machine Perception And Task Oriented Compression
- Information Theory For Distributed Storage, Caching, And Edge Computing
- Algorithmic Information Theory And Kolmogorov Complexity
- Entropy, Divergence Measures, And New Information Theoretic Metrics
Paper Submission Authors are invited to submit papers through the conference Submission System by January 10, 2026. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from IT 2026, after further revisions, will be published in the special issue of the following journals. Important Dates | Submission Deadline | : | January 10, 2026 | | Authors Notification | : | January 24, 2026 | | Final Manuscript Due | : | January 31, 2026 |
Co - Located Event ***** The invited talk proposals can be submitted to it@ccseit2026.org
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