Recent & Upcoming Talks

Toward a noise perception model for photorealistic image synthesis.

Toward a noise perception model for photorealistic image synthesis.

Sharing of the progress of the thesis during the seminar for the ANR Prise3D.

Teaching

All courses given during thesis

Courses

2018 - 2019

  • DUT 1 (first year degree in IT) : Begin of OOP with Java
  • License 1 (first year degree in IT) : Algorithmic (in C)
  • License 2 (second year degree in IT) : Advanced algorithmic with OOP (in C++)

2019 - 2020

  • DUT 1 (first year degree in IT) : Algorithmic (in Python)
  • DUT 1 (first year degree in IT) : Begin of OOP with Java
  • DUT 2 (second year degree in IT) : Artificial Intelligence
  • License 2 (second year degree in IT) : Advanced algorithmic with OOP (in C++)

2020 - 2021

Others

Skills

AI

80%

Statistics

70%

Development

90%

Projects

Most important projects developed

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Minimalist And Customisable Optimisation Package

Image Processing For Machine Learning is a Python package developed during my thesis.

Adaptive Operator Selection into the MOEA/D algorithm. This AOS called FRRMAB_DK is based on MAB algorithm for each sub problem with shares of information.

Second version of photo album QAP using ParadisEO C++ library in order to make statistics faster (MOEA/D, NSGA-II, Adaptative Operator Selection).

Abstract simple implementation of Monte Carlo Tree Search (UCT) using Upper Confidence Bound (UCB) algorithm developed in C++. An example is available to show how implements it.

Contact

For any questions !