CV

Current Position

Postdoctoral researcher at the Institute for Neuroinformatics, Ruhr University Bochum, working on online hyperparameter optimization (HPO), reinforcement learning (RL) and applied machine learning (ML).

Education

• January 2017

I received my PhD in Computer Science from University of Paris-Saclay (formerly Paris-Sud 11), under the supervision of Nikolaus Hansen and Anne Auger. My most prominent contribution was the design and analysis of an augmented Lagrangian-based constraint handling mechanism for CMA-ES–the state-of-the-art optimizer for black-box numerical optimization.

• 2013

Master's degree in Artificial Intelligence at University of Paris-Saclay (formerly Paris-Sud 11)

• 2011

Engineer's degree in Computer Science at the National School of Computer Science, Algiers, Algeria

Past Experience

• 2019–2020

Postdoctoral researcher at the LTCI, Télécom Paris. Designed a recurrent neural network (RNN) for user engagement analysis in Human-Robot Interaction.

• 2018–2019

Postdoctoral researcher at the ICMPE (CNRS—UPEC). Worked on the generation of metal hydrides for hydrogen storage using ML approaches, namely Generative Models (GANs) and Graph Neural Networks (GNNs).

• 2017–2018

Postdoctoral researcher at the CMAP, RandOpt team. Worked on benchmarking algorithms for black-box continuous constrained optimization.

• 2013–2017

PhD student at University of Paris-Saclay  and Inria. Analyzed and designed various Evolution Strategies—a class of adaptive stochastic algorithms for black-box continuous optimization—for constrained optimization in particular.