Status : PhD Student
Title of thesis : Theoretical Foundation of Performances
Research Topic / Interests : My research focuses on what is upstream and downstream of the entities performing the tasks of interest (e.g. machine learning algorithms and models). Upstream, I am interested in the acquisition (by simulations, 3D cameras, laser sensors, ...) and understanding of data. Downstream, I am interested in the notion of performance (the rigorous definition of these mathematical objects and the correct ways to manipulate them). Understanding these two extremes is one of the keys to develop reliable and robust AI entities.
ARIAC Work Package : WP1 -interactions between humans and AI: interactive/human-in-the-loop algorithms, user assistance/AI-in-the-loop, consensus mechanisms, imperfect multi-expert labels, explainable AI