I’m in charge of the Stories research group (for Semantic Trajectories) at the Grenoble Computer Science Laboratory, created on January 1, 2025.

The Stories team’s research focuses on the concept of semantic trajectories, dedicated to the representation and analysis of the evolution of objects or phenomena.

In particular, my researches address essentially the problems related to Semantic Trajectories, mainly those of Territories (political, administrative, socio-economic trajectories, etc.) and those of  Individuals (family, residential, professional, health trajectories, etc.).

To study these composite and complex spatio-temporal objects, I rely on the representation and analysis tools of the Semantic Web and Machine Learning.

In terms of modeling, existing ontology languages and standard vocabularies make it possible to account for the multidimensional aspect (temporal, spatial and multi-thematic) of semantic trajectories.

In terms of analysis, these semantic trajectories are understood as temporal sequences of multidimensional and heterogeneous data. The analysis axes mainly concern the classification and the search for recurrent patterns. The underlying challenges are the design of adapted similarity measures and the reduction of the high dimensionality of these data sequences.