The I3S LABORATORY

It's on the SophiaTech campus in the heart of the Sophia Antipolis technology park our laboratory conducts research in the field of information science and communication.
"Advancing knowledge, consider the economic and technological realities, while imagining tomorrow's solutions."

The I3S laboratory is one of the largest information and communication science laboratories in the French Riviera. it was one of first ones to settle down on Sophia Antipolis Science and Technology Park. It consists of a little less than 300 people. [+...]

In partnership with CNRS and INRIA, and numerous industrial collaborations, we work on the themes of innovative research at the cutting edge of science and technology: systems and networks ubiquitous, biology and digital health, modeling for environment interactions and practices. [+...]

 

 

 

 

The laboratory is organized in 4 teams:

COMRED team (French acronym for Communications, Networks, Embedded Systems, Distributed Systems)
MDSC team (French acronym for Discrete Models for Complex System)
SIS team (Signal, Image and Systems)
SPARKS team (Scalable and Pervasive softwARe and Knowledge Systems)

The 5 latest submissions recorded in HAL

 
Janna Burman, Ho-Lin Chen, Hsueh-Ping Chen, David Doty, Thomas Nowak, Eric Severson, Chuan Xu.
Time-Optimal Self-Stabilizing Leader Election in Population Protocols.
PODC '21: ACM Symposium on Principles of Distributed Computing, Jul 2021, Virtual Event Italy, Italy. pp.33-44, ⟨10.1145/3465084.3467898⟩
 
Chuan Xu, Joffroy Beauquier, Janna Burman, Shay Kutten, Thomas Nowak.
Data collection in population protocols with non-uniformly random scheduler.
Theoretical Computer Science, 2020, 806, pp.516-530. ⟨10.1016/J.TCS.2019.08.029⟩
Bastien Laville.
Off-the-grid curve reconstruction : theory and applications in fluorescence microscopy.
Traitement du signal et de l'image [eess.SP]. Université Côte d'Azur, 2023. Français. ⟨NNT : 2023COAZ4062⟩
Rudan Xiao.
Classification et segmentation du réseau vasculaire dans les images histologiques : application au carcinome à cellules rénales.
Image Processing [eess.IV]. Université Côte d'Azur, 2022. English. ⟨NNT : 2022COAZ4075⟩
Thomas Mahiout.
Reliable and explainable deep learning for classification of underwater acoustic signals.
Traitement du signal et de l'image [eess.SP]. Université Côte d'Azur, 2022. Français. ⟨NNT : 2022COAZ4034⟩