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, Professorr
Mots-clés
- Information theory
- Network data processing
- Coding
- Distributed optimization
- Security
LTCI latest news
Ghaya Rekaya wins a Women TechEU grant!
Faculty Members, Start-up — 22/11/2024This prestigious recognition highlights Ghaya and Mimopt Technology's commitment to a more diverse and inclusive technology [...]
"Top 2%": our faculty members among them
Faculty Members — 26/09/2024This ranking of excellence drawn up by Stanford features more than 210,000 researchers out of more than 8 million active scientists [...]
[Ideas] Securing AI: issues, challenges, solutions
PhD, Digital Trust, Data Science & AI — 20/09/2024Katarzyna Kapusta: What are the challenges, threats and innovative solutions for securing AI?
The first Student Research Workshop in Vietnam, a resounding success!
PhD, Masters, International Partnerships — 16/09/2024The first Student Research Workshop was organized at VIASM in September 2024, by Minh Ha [...]
EDS 2024: ELLIS Doctoral Symposium on Machine Learning Research
Data Science & AI — 03/09/2024Focusing on AI & Sustainability, it was held on August 26-30, 2024. It gathered PhD students to present and [...]
Please, Listen to This! A direct sound experience in an urban environment
Engineers — 22/07/2024The project is inspired by the launch of Sony's first Walkman in 1979, and aims to recreate a similar [...]
[Ideas] Intelligent wind turbines for optimised energy production
PhD, Very Large Networks and Systems — 10/06/2024Elie Kadoche: How reinforcement learning enables wind turbines to orientate themselves with the [...]
[Ideas] Hybrid, explainable AI for medical imaging
Data Science & AI, Faculty Members — 07/06/2024Isabelle Bloch: Hybrid, explainable AI combines knowledge-based approaches with data-driven learning methods.
Manvi Agarwal 2nd place in the 3-Minute Thesis® Competition
PhD — 06/06/2024She took part alongside five other doctoral students from Université Paris Saclay, Télécom Paris, and Université Clermont [...]
[Ideas] Optical communications in free space: the security challenge
Digital Trust, Faculty Members — 27/05/2024Frédéric Grillot: how to solve the vulnerability of optical wireless communications?
