IEEE ITS promotes the mathematical foundations of information processing by advancing research and applications in coding theory, data compression, and network theory. Through innovation, collaboration, and education, it supports the development of efficient algorithms and techniques that enhance data transmission, storage, and security across various communication and computing systems.
IEEE Information Theory Society
Vision
To be the leading global community for advancing the mathematical underpinnings of information processing, fostering innovation, and enabling transformative applications in science and engineering.
Mission
To promote the discovery, development, and application of information theory by facilitating research, collaboration, and knowledge dissemination. The society supports education, organizes conferences, publishes high-quality journals, and fosters interdisciplinary interactions to drive technological advancements and address emerging challenges in information science and engineering.
Objectives
- Organize workshops on data compression
- Promote secure communication technologies
- Conduct competitions in data science
- Offer mentorship in cryptography
- Encourage innovation in signal processing
- Collaborate with industry experts in data theory
- Host lectures on emerging IT applications
- Encourage research in quantum information
Our Team
Experts united, outcomes delivered.
Events
- A workshop on Entropy and its Applications in Data Science on 26.10.2024.
- A workshop on Information Theory of Deep Learning on 14-11-2024.
- An expert talk on “Advancements in Artificial Intelligence and Machine Learning” on 22.02.2025.
- An expert talk on Design Thinking and Innovation Strategies on 17.03.2025.
- A Webinar on “Recent Trends in Image Processing for AI Implementation” on 08-04-2025.