Michaël Roynard

Michaël Roynard
  • Site: Paris
  • Group: image processing and pattern recognition
  • Axis:

Short Bio

I am currently a postdoctoral researcher in Image Processing at EPITA Research Laboratory (LRE). I obtained my Ph.D. in 2022 at Sorbonne University and my Master degree from CY-Tech (former EISTI) in 2015. I briefly worked at the CEA and then Murex before starting my Ph.D. thesis.

Contact information
Email michael.roynard@epita.fr


My ORCID is 0000-0001-8469-4131.

MY main research interest are related to Genericity and Performance applied to Image Processing. My thesis is about bringing constrained Genericity (from C++20) to Image Processing to improve efficiency and ease of use. My thesis work is available in Pylene and Github (manuscript). Currently, I am surveying the possibilities of constrained Genericity in the Rust programming language. I will also soon be working in the notion of interactivity for a Generic C++ templated library and how to bring it to the Python world without compromising on performance (dynamic genericity + JIT).


For a full list of publications, you can check: