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
"Reproducible Builds": improve software security
PhD, Faculty Members — 23/05/2025A paper by J. Malka, S. Zacchiroli and Th. Zimmermann is distinguished at the most prestigious conference in software [...]
Software heritage: ISO/IEC 18670 is now official
Faculty Members, Very Large Networks and Systems — 20/05/2025This standard enables unique, persistent and verifiable identification of software artefacts (source [...]
Quantum-Saclay: bringing quantum together (IP Paris)
Faculty Members, Very Large Networks and Systems — 15/05/2025Romain Alléaume: "We're developing new communication systems for quantum networks, and we're also [...]
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 [...]
