LISTIC presentation

LISTIC's scientific orientations are in line with the priorities given in France to Artificial Intelligence (AI) research and digital development. LISTIC focuses more specifically on two fundamental aspects:

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

LISTIC develops its activities with specific methodological features:

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

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

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

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

  • AFuTé: Learning, Fusion and Remote Sensing,
  • ReGaRD: Data representation, management and processing for humans.