Embedded sensors such as in IoT appliances or industrial robots enhance our ability to monitor and optimize processes in various fields.
Research
Sensors convert physical information into actionable data, used for modeling, estimation, and prediction—in short, they provide us with decision-driving insights. Our team especially studies the mathematical foundations of different kinds of sensing systems:
- fundamental limits of sensing systems
- distributed estimation and detection over networks
- security in distributed sensing
- optimization of sensor networks
- estimation and detection in the context of machine learning
- integrated sensing and communication for future cellular networks and optical fibers
- quantum sensing systems
Team members
- Michèle Wigger, Professor, team leader
- Robert Graczyk, Associate Professor
- Mireille Sarkiss, Associate Professor Télécom SudParis
Keywords
- Information theory
- Statistics
- Estimation
- Detection
- Communications
Team publications
- [1] M. Ahmadipour, M. Kobayashi, M. Wigger, and G. Caire, « An Information-Theoretic Approach to Joint Sensing and Communication, » IEEE Trans. on Inf. Theory, Feb. 2024.
- [2] M. Hamad, M. Wigger, and M. Sarkiss, « Multi-hop Network with Multiple Decision Centers under Expected-Rate Constraints, » IEEE Trans. on Inf. Theory, July 2023.
- [3] M. Ahmadipour and M. Wigger, « An Information-Theoretic Approach to Collaborative Integrated Sensing and Communication for Two-Transmitter Systems, » Journal on Sel. Areas in Inf. Theory, June 2023.
- [4] R. Graczyk, A. Lapidoth, and M. Wigger, « Conditional and Relevant Common Information,” Information and Inference: A Journal of the IMA, 2022.
- [5] N. Le Gouic, R. Graczyk, and S. Moser, « Approximate Hypothesis Testing, » to be submitted to Int. Symp. Inf. Theory, July 2025.
- [6] A. Bounhar, M. Sarkiss, M. Wigger, “Covert Distributed Detection over Discrete Memoryless Channels”, Int. Symp. Inf. Theory 2024, 7-12 July 2024.
LTCI latest news
Ghaya Rekaya wins a Women TechEU grant! [update]
Faculty Members, Start-up — 15/01/2025This 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 [...]
"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 [...]
