SENELLART Pierre

Project in Prairie

Pierre Senellart’s research deals with management and mining of large-scale structured and semi-structured data in general, and large-scale networks in particular, addressing issues such as management of the provenance, privacy, and uncertainty of data, and scalability through leveraging the structure of data. He is a co-coordinator of the PSL graduate program on Computer science, in particular teaching within the PSL IASD Master. He is in charge of Year 1 of PSL’s International Bachelor of Science on Artificial Intelligence. He is also the Vice-President for Digital Infrastructure and IT Convergence of PSL University.

Uncertain data are pervasive in artificial intelligence systems: input data are often imprecise, incomplete, or even contradictory, while automatic tools run on these data often produce imperfect annotations or predictions. A major challenge is to properly manage this uncertainty in data, keeping track of the confidence in individual data items throughout complex processes. For explicability and traceability purposes, it is also important to keep track of the provenance of data: where it comes from, how it was produced, etc. Uncertainty and provenance management are two of the main research issues in modern data management.

SENELLART Pierre