I worked as a teaching assistant at the University of Paris-Saclay during my PhD. In this role, I led tutorials and practical sessions for first- and second-year undergraduate computer science students, totaling 192 teaching hours.
Below is a list of my teaching activities:
Algorithmics – Tutorial, 1st-year students (2013–2016)
Advanced Algorithmics – Tutorial, 2nd-year students (2014–2016)
C++ – Lab, 1st-year students (2014–2016)
Object-Oriented Programming in Java – Lab, 1st-year students (2013–2014)
Robotics project supervision – Development of a soccer match between two humanoid robots (Nao) in Python – 1st-year students (2013–2014)
B. C. Nothelle – Evaluating the Impact of an Alternative Network Architecture within Proximal Policy Optimization
Bachelor's Thesis, Ruhr University Bochum, 2024
J. Große Perdekamp – Evolutionary Optimization for Learning Policies in Industrial Resource Allocation
Bachelor's Thesis, Ruhr University Bochum, 2023
I. Laiche, M. Atamna – Graph Neural Networks, A Comparative Study
Joint Engineering & Master's thesis, École Nationale Politechnique, Algeria, 2020
Invited speaker. Dagstuhl Seminar 24271 "Theory of Randomized Optimization Heuristics". Dagstuhl, Germany, 30.06–05.07.2024
Understanding the Fitness Landscape of a Real-World Sequential Decision Making Problem
Invited contributor. Dagstuhl Seminar 22091 "AI for the Social Good". Dagstuhl, Germany, 27.02–04.03.2024
Invited contributor. Dagstuhl Seminar 24082 "AI for the Social Good". Dagstuhl, Germany, 18–23.02.2022
Event assistant. MLAI 2019 – International Workshop on Machine Learning and Artificial Intelligence. Paris, France, 07–08.07.2019
Invited speaker. AI and Chemistry Workshop. Lens, France, 24.05.2019
Generative Adversarial Networks for Finding New Crystal Structures
Invited speaker. 4th International Conference on Optimization Methods and Software. Havana, Cuba, 17.12.2017
COCO: A Platform for Benchmarking Derivative-Free Optimizers
Tutorial co-organizer & lecturer. CEA-EDF-INRIA Summer School "Design and optimization under uncertainty of large-scale numerical models". Paris, France, 03–07.07.2017
Introduction to Randomized Black-Box Numerical Optimization and CMA-ES