PhD in Software Engineering, 2018
Université de Rennes 1
M.Sc. in Data and Image Processing, 2013
Université de Rennes 1
Paul is a Postdoctoral Researcher working mainly with Gilles Perrouin on software variability with a focus on systems that embed an ML component. Because of this component, traditional software testing techniques need to be adapted to validate the behavior of such components.
Before this, he obtained a PhD in France (Université de Rennes 1), in the DiverSE team at IRISA lab under the supervision of Mathieu Acher and Jean-Marc Jézéquel. The goal was to reduce the complexity of testing configurable systems by limiting the number of configurations to consider and/or limiting the number of tests to pass.
His Master’s (from the Université de Rennes 1, France) was focused on data and image processing. He did an internship in the LinkMedia team under the supervision of Ewa Kijak and Laurent Amsaleg on adversarial Machine Learning for the security of ML models.