15th International Conference on Information Theory (IT 2026)<\/p>\n
March 14 ~ 15, 2026, Vienna, Austria<\/p>\n
https:\/\/ccseit2026.org\/it\/index<\/p>\n
Scope<\/p>\n
15th International Conference on Information Theory (IT 2026) serves 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.<\/p>\n
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.<\/p>\n
Topics of interest<\/p>\n
\u2022 Shannon Theory, Finite Blocklength Analysis, And Fundamental Limits
\n\u2022 Coding Theory: Polar Codes, LDPC, Fountain Codes, And Modern Code Design
\n\u2022 Multi User And Network Information Theory
\n\u2022 Information Theory For Machine Learning And Deep Learning
\n\u2022 Information Theoretic Generalization, Representation Learning, And Optimization
\n\u2022 Information Bottleneck Methods And Rate Distortion Theory For ML Systems
\n\u2022 Distributed Learning, Federated Learning, And Communication Efficient ML
\n\u2022 Information Theory For Neural Compression And Learned Source\/Channel Coding
\n\u2022 Semantic And Goal Oriented Communications
\n\u2022 Joint Source Channel Coding And End To End Learned Communication Systems
\n\u2022 Information Theory For 6G, Massive MIMO, Mmwave, Thz, And Intelligent Surfaces
\n\u2022 Interference Management, Coordination, And Multi Terminal Communication
\n\u2022 Statistical Signal Processing, Detection, And Estimation Theory
\n\u2022 Informationtheoretic Security, Privacy, And Confidentiality
\n\u2022 Physicallayer Security And Secure Communication Protocols
\n\u2022 Cryptography And Complexity From An Information Theoretic Perspective
\n\u2022 Quantum Information Theory, Quantum Coding, And Quantum Communication
\n\u2022 Communication Complexity And Distributed Computation
\n\u2022 Information Theory For Biological, Neural, And Cognitive Systems
\n\u2022 Information Theory In Data Science, Big Data, And High Dimensional Statistics
\n\u2022 Information Theoretic Methods For Networks, Graphs, And Social Systems
\n\u2022 Optical And Photonic Communication Systems (Modern IT Perspectives)
\n\u2022 Information Theory For Sensing, Radar, And Joint Communication Sensing Systems
\n\u2022 Information Theory For Autonomous Systems And Cyber Physical Systems
\n\u2022 Learning Aided Signal Processing And Adaptive Inference
\n\u2022 Emerging Applications Of Information Theory In Finance, Genomics, And Physics
\n\u2022 Information Theoretic Limits Of Generative Models And Diffusion Models
\n\u2022 Rate Distortion Theory For Machine Perception And Task Oriented Compression
\n\u2022 Information Theory For Distributed Storage, Caching, And Edge Computing
\n\u2022 Algorithmic Information Theory And Kolmogorov Complexity
\n\u2022 Entropy, Divergence Measures, And New Information Theoretic Metrics<\/p>\n","protected":false},"parent":0,"template":"","class_list":["post-136567","event","type-event","status-publish","hentry","event-category-other-events"],"acf":[],"yoast_head":"\n