Short Bio

I obtained a M.Sc degree in electrical engineering, with a major in signal and image processing, from the Grenoble Institute of Technology, France, in 2012. From January to June 2012, I was also a Predoctoral Fellow with Carnegie Institution for Science, Stanford University, USA 🇺🇸.

I received a PhD degree in signal and image processing from the Université Grenoble Alpes, France, in 2015. I conducted my research at GIPSA-lab under the supervision of Jocelyn Chanussot and Mauro Dalla Mura. I was also a visiting scholar with the Department of Mathematics, University of California, Los Angeles, USA 🇺🇸 from June to August 2013.

From 2015 to 2016, I was a Temporary Assistant Professor with the Grenoble Institute of Technology and GIPSA-lab.

Since September 2016, I am an Associate Professor with EPITA and I conduct my research with EPITA Research Laboratory, within the Image Processing and Pattern Recognition team, which I lead since March 2024.

Since September 2022, I am also an Associate Researcher with the Institut de Mécanique Céleste et de Calcul des Éphémérides (now Laboratoire Temps Espace, Paris Observatory), within the PEGASE team.

My research resume is accessible ➡️ here ⬅️

Research

Research interest

My research activities focus on the development of advanced algorithms integrating mathematical morphology, pattern recognition, machine learning and deep learning for image processing and analysis, with applications mostly for (but not restricted to) astronomy and satellite remote sensing imagery.

Examples of some on-going research topics:

• 🤖 The development of trainable morphological layers (in the spirit of convolutional layers) for the automatic learning of sequences of morphological operations (a.k.a the MorphoNet internal project)
• 🔭 The detection and classification of meteors and satellites in 1 second long exposure pictures of the night sky, as part of the CABERNET project driven by Jérémie Vaubaillon (Laboratoire Temps Espace (ex-IMCCE), Paris Observatory).
• 🪐 The large scale analysis of the CASSINI image database for space object detection and classification with the PhD work of Giulio Quaglia, jointly supervised with Valéry Lainey (Laboratoire Temps Espace (ex-IMCCE), Paris Observatory).
• 🌠 The semantic segmentation of mineral phases within chondrite meteorite samples acquired with scanning electron microscopy as well as the meta-classification of the meteorite based on its chemical and mineralogical composition, in collaboration with the Institute of Mineralogy, Physics of Materials and Cosmochemistry (Sorbonne University) and the Muséum National d’Histoire Naturelle.

Publications

For a full list of publications, you can check:

• Google Scholar Page
• DPLB

Teaching

I am currently teaching the following courses at EPITA:

ING1 level (last year of undergrad studies)

• Introduction to signal processing. Lectures: 14h / practical labs: 24h
• Introduction to image processing. Practical labs: 12h
• Vectorial Programming for Matrix Calculus. Practical labs: 12h
• Data compression. Lectures: 9h / practical labs: 3h

IMAGE specialization (grad studies, specialized in image processing and synthesis)

• Convex Optimisation (first year of grad studies). Lectures: 18h / Practical labs: 18h
• Introduction to Machine Learning (first year of grad studies). Lectures: 4h / practical labs: 12h
• Constrained optimization (second year of grad studies). Lectures: 10h / practical labs: 6h