IP Paris Thesis Prizes: Two PhD students from Télécom Paris honoured

02 July 2026

Julien Béguinot & Maxime Cornet (photographs IP Paris)

Joint winners of Department Best PhD Thesis Awards

Julien Béguinot, Department of Information, Communication and Electronics, from Information Processing and Communications Laboratory (LTCI)

Evaluation of Information Leakage in Side Channels

A simple blinking LED… and a secret key is revealed. In some electronic systems, tiny variations in light intensity can be enough to compromise information that is supposed to remain secure. This is the type of vulnerability that Julien Beguinot investigated during his PhD. His research focuses on the information that encryption devices unintentionally leak while they are operating.

Maxime Cornet, Department of Social sciences and Management, from Center for Management Studies (i3)

Data work and data for work: Uncertainty management and risk delegation in Artificial Intelligence production chains

Behind artificial intelligence lies a reality far less automated than it might suggest. “We often sell a magical image of AI, as if everything worked on its own,” observes Maxime Cornet. “In reality, these systems rely on largely invisible human labor.” During his PhD, the researcher focused on a still underexplored topic: the economics of producing the data used to train AI models.