Communication networks rely on a range of communication media that can be wireless, wired, optical etc., to transmit, retrieve and process data. Constraints are generally placed on the tasks that need to be carried out. These constraints take into account a number of performance metrics, such as complexity, reliability, latency and secrecy. Depending on the nature of the network, they can be addressed in a centralized or in a decentralized way.
Over the past five years, the Mathematics of Information & Communication (formerly Digital Communications) team has focused its research work on gaining a better understanding of the fundamental limits of communication networks and devising the means to reach them.
The Mathematics of Information & Communication team is particularly active in the following areas:
- Point-to-point co mmunications
- Network optimization
- Communications and device security
- Interdisciplinary tools derived from information theory and statistics
Team members
- Aslan Tchamkerten, Professor, team leader
- Hadi Ghauch, Associate Professor
- Ghaya Rekaya Ben Othman, Professor
- Olivier Rioul, Professor
Mots-clés
- Information theory
- Network data processing
- Coding
- Distributed optimization
- Security
LTCI latest news
Florence Tupin distinguished by IEEE Geoscience and Remote Sensing Society
Faculty Members, Modeling — 27/03/2025She develops innovative image processing and analysis methods, with recognised expertise in [...]
[Ideas] Sound revolution and machine listening
Data Science & AI, Faculty Members, Modeling — 14/03/2025Gaël Richard, "Hi-Audio": How does the machine learn to listen and create?
RAMSES platform, mission-critical real-time embedded systems
Digital Trust, Faculty Members — 10/03/2025RAMSES offers an AADL (Architecture Analysis and Design Language) compiler, a standardized language used [...]
Post-quantum cryptography according to Mélissa Rossi
Graduates, Digital Trust — 06/03/2025Mélissa Rossi is a graduate of Télécom Paris (class of 2016) and a cryptography expert at ANSSI (French [...]
“Denoising” radar satellite images with AI (IP Paris)
Data Science & AI, Faculty Members — 07/02/2025Florence Tupin uses deep learning to obtain images cleared from the fluctuations inherent in radar [...]
Putting power-hungry AI on an energy diet (IP Paris)
Data Science & AI, Faculty Members — 03/02/2025Enzo Tartaglione is trying to develop more energy-efficient Deep Learning models.
Ghaya Rekaya wins a Women TechEU grant! [update]
Faculty Members, Start-up — 17/01/2025This prestigious recognition highlights Ghaya and Mimopt Technology's commitment to a more diverse and inclusive [...]
EMOOCs 2025 at Télécom Paris, June 30 to July 2
Data Science & AI — 14/01/2025Bringing together leading researchers, practitioners, and experts from around the globe to explore cutting-edge topics in [...]
A reference book on cryptographic leaks: what are the threats?
Digital Trust, Faculty Members — 22/12/2024Wei Cheng, Sylvain Guilley, Olivier Rioul publish a book entitled Mathematical Foundations of [...]
[Ideas] Experiments in free optical transmission and chaotic encryption
PhD, Digital Trust, Faculty Members — 01/12/2024Frédéric Grillot & Sara Zaminga present two experiments demonstrating the benefits of free [...]
