PRESENTATION

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

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

LISTIC develops its activities with specificities at the methodological level:

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

At the application level, two major fields, that increasingly use AI to answer environmental and societal issues, are investigated:

  • 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 grouped into two themes, each of which brings together about fifteen teacher-researchers and their doctoral students:

  • AFuTé: Learning, Fusion and Remote Sensing,
  • ReGaRD: Data Representation and Processing for Human.