Axis ICS : Information and Communication Systems

Person(s) in charge

Axis 2 ICS (Information and Communication Systems) focuses on the acquisition, transfer, processing and analysis of data. These data are generally massive, incomplete and heterogeneous. They can be acquired and transmitted through a wireless sensor network, and are stored in a database which can be distributed. They are processed and analyzed in order to identify their properties.

Axis 2 consists of two themes:

  • the theme "wireless sensor networks", dedicated to the acquisition and data transfer,
  • and the theme "data, services, intelligence", dedicated to data processing and analysis.

Themes

last publications

Osama Allabwani, Olivier Blazy, Pascal Lafourcade, Charles Olivier-Anclin, Olivier Raynaud - June 1, 2026 - ACM Asia Conference on Computer and Communications Security (ASIA CCS '26)
Sanitizable Signatures with Different Admissibility Policies for Multiple Sanitizers

Durande Kamga Nguifo, Jerry Lonlac, Anthony Fleury, Engelbert Mephu Nguifo - March 23, 2026 - The 41st ACM/SIGAPP Symposium On Applied Computing (SAC)
Unleashing the Power of Gradual Patterns for Explainable AI

Charbel Al Tannoury, Anis Hoayek, Youssef Salman, Hyam Abboud, Mireille Batton-Hubert - Feb. 3, 2026
A Record-Based Block Method for Anomaly Detection in Nonlinear Time Series

Michael Franklin Mbouopda, Emille E.O. Ishida, Engelbert Mephu Nguifo, Emmanuel Gangler - Jan. 22, 2026 - Big Data Research
Explainable classification of astronomical uncertain time series

Andrei Ciortea, Matteo Castellucci, Kai Schultz, Jérémy Lemée, Danai Vachtsevanou, Fabien Gandon, Simon Mayer, Valentin Berger, Samuele Burattini, Alessandro Ricci, Olivier Boissier - Jan. 8, 2026
Yggdrasil: An Artifact-Based Framework for Hypermedia Multi-Agent Systems

All publications are here

Current projects

Chair Reliable and Confident Use of LLMs

Chair Reliable and Confident Use of LLMs



SCALE: Strengthening C-ITS Adoption and Lining-up across Europe

PRIVA-SIQ

ASTRAL

Anomaly Detection in Spectral Data Stream

NAIMAN: Normative Artificial Intelligence for regulating MANufacturing



CIFRE PFEIFFER VACUUM







PHC Sakura





Team

Persons in charge of themes

Theme Data, Services, Intelligence Theme Network and Security

Lecturing Researchers : 38

Emeritus professor : 1

Postdocs : 9

PHDs : 27

ATER : 2

Research support : 3

Assistant master : 1