I completed a PhD in the Computer Science department of the University of Mons (UMONS) in Belgium. I was co-supervised by Véronique Bruyère (UMONS) and Jean-François Raskin (Université libre de Bruxelles). My research interests regarded solving parity and generalized parity games efficiently and notions of equilibria in non-zero-sum multiplayer games. I am also very interested in the field of machine learning.
PhD in Computer Science, 2022
University of Mons
University Certificate in AI, 2020
University of Mons
MSc in Computer Science, 2018
University of Mons
BSc in Computer Science, 2016
University of Mons
2022
2021
2020
2019
2018
A prototype symbolic implementation of partial solvers for (generalized) parity games applied to LTL realizability.
The goal of this project is to forecast future web traffic for Wikipedia articles using different techniques ranging from statistical models to deep neural networks.
Using convolutional neural networks (CNN) to detect the presence or the start of a forest fire in an image. This model could be applied to detect a fire or a start of a fire from (aerial) surveillance footage of a forest.
Python implementation of reachability/safety games solver as well as weak parity and strong parity games solver.