Research activities

Over the past I have worked on various topics, going back and forth between some of them:

  • I begun to work on discrete dynamical systems and high performance computing;
  • Then I investigated the use optimization methods, first to improve the lifetime of Wireless Sensor Networks (WSN) and second to predict the evolution of genomes in bioinformatics;
  • Finally, I studied the use of artificial neural networks to solve different prediction and classification tasks. From 2008 up to 2012, the considered network architecture was the multilayer perceptron, while since 2015 I am interested in deep learning ones and Reservoir Computing.

Graduate supervision

Co-supervision of 5 PhD

  1. 2018.11 - 2021.11 / Zhihao Chen
    • Dissertation: Deep learning for automatic detection and quantification of the disease areas of the myocardium from DE-MRI after myocardial infarction
  2. 2012.12 - 2015.12 / Bassam Alkindy
    • Dissertation: Combining Approaches for Predicting Genomic Evolution
    • Placement: Assistant Professor at University of Mustansiriyah, Baghdad, Iraq
  3. 2012.09 - 2015.10 / Ali Khadum Idrees
    • Dissertation: Distributed Coverage Optimization Techniques for Improving Lifetime of Wireless Sensor Networks
    • Placement: Professor at University of Babylon, Iraq
  4. 2008.09 - 2011.09 / Rémy Laurent
    • Dissertation: Simulation du mouvement pulmonaire personnalisé par réseau de neurones artificiels pour la radiothérapie externe
    • Placement: Working in a private company
  5. 2003.09 - 2007.06 / Amine Abbas
    • Dissertation: Optimisation de la durée de vie d'un réseau de capteurs
    • Placement: Working in a private company

Co-supervision of 7 Master of Science internships

  1. 2018.02 - 2018.09 / David Roche
    • Dissertation: Deep learning pour la conception d'une intelligence artificielle pour un jeu abstrait
  2. 2018.02 - 2018.08 / Pierre Feilles
    • Dissertation: Etude et mise en oeuvre d'une approche de type deep learning pour segmenter automatiquement le myocarde
  3. 2017.02 - 2017.09 / Pierre Primet 
    • Dissertation: Etude et mise en oeuvre d'une approche de type deep learning comme outil d'aide à la détection d'une pathologie
  4. 2015.02 - 2015.09 / Nils Schaetti
    • Dissertation: Reservoir Computing: Etude theorique et pratique en reconnaissance de chiffres manuscrits
    • Placement: PhD student at Computer Science department (IIUN) of the Université de Neuchâtel, Switzerland
  5. 2015.02 - 2015.09 / Jad Nassar
    • Dissertation: Parallelization of a Simulation Code for Neuromorphic Computing
    • Placement: was a PhD student at INRIA FUN Team, Lille, until October 2018 when he defended his thesis
  6. 2010.02 - 2010.10 / Arnaud Aubert
    • Dissertation: Contrôle actif d'écoulements aérodynamiques par réseaux de neurones
  7. 2003.02 - 2003.09 / Amine Abbas
    • Dissertation: Mixage synchronisme/asynchronisme dans les réseaux d'automates finis discrets

External research funding

Over the past years I was involved in writing proposals for several calls, in particular calls for proposals from the French National Research Agency (ANR).