The research areas of the Autonomous Critical Embedded Systems team address concurrent systems, including parallel systems and distributed systems, for which non-operational properties such as performance and security need to be guaranteed.
In order to cover the entire spectrum of concurrent systems, the ACES team has chosen to structure its work in two themes:
Loosely coupled systems
- Complex autonomous systems
- Fault-tolerant and asynchronous distributed computing
- Model-based testing
- Internet of Things security
- Distributed services
Strongly coupled systems
- Real-time systems
- Deterministic platform
- Critical system design process
- Safety and security
- Energy consumption of computation
Key words
- Safe and secure critical systems
- Concurrent and distributed systems
- Autonomic systems
LTCI latest news
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 [...]
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 [...]
