Presentation of the LISTIC

The scientific orientations of the LISTIC are in line with the priorities given in France at research in Artificial Intelligence (AI) and digital development. More specifically, the LISTIC focuses on two fundamental aspects:

  • learning (statistical, deep, data mining),
  • networks (security, storage, distribution).

The LISTIC develops its activities with specific methodological features:

  • the new theories of uncertainty for information fusion,
  • multivariate analysis for signal processing.

This work is being applied in particular in two main areas that are increasingly using AI to address environmental and societal issues:

  • remote sensing for Earth observation,
  • ambient intelligence associated with the Internet of Things for the measurement of human activity and industrial performance.

These orientations are divided into two themes, each of which brings together about fifteen teacher-researchers and their doctoral students:

  • AFuTé: Learning, Fusion and Remote Sensing,
  • ReGaRD: Representation, Management and Processing of Data for Humans.