Élie Michel

Arts & Technologies de l'Image, Université Paris 8 (Paris)

Computer Graphics, Computer Arts, 3D Modeling, Rendering, Compositing, Game Engines, Animation, VFX

M.Sc. in Computer Science — M2 MVA, École normale supérieure de Cachan (Cachan)

Applied Mathematics, Machine Learning, Graphical Models, Reinforcement Learning, Computer Vision, Medical Imaging, Computational Photography, 3D Point Clouds

M.Sc. in Computer Science — M1 MPRI, École normale supérieure (Paris)

Category theory, Computer Vision, Machine learning, Robotics, Software engineering, Quantum Computing.

B.Sc. in Computer Science, École normale supérieure (Paris)

Algorithmics, Compilation, Formal languages, Lambda calculus, Hardware systems, Operating systems, Networks, Signal processing. Passed with Mention Très Bien (highest honors)

Classes Préparatoires aux Grandes Écoles (MPSI, MP*), Lycée Saint-Louis (Paris)

Admitted at the École normale supérieure in Mathematics, Physics and Computer Science, ranked 20 (out of 1480)

Scientific Baccalauréat, Lycée Les Pierres Vives (Carrières sur Seine)

With music minor, Passed with Mention Très Bien

Research intern in Computer Graphics, Télécom ParisTech, Paris, France

Geometry-Material-Lighting synchronized models for multi-resolution real-time rendering, supervised by Pr. Tamy Boubekeur.

Software Developer, rise|fx, Berlin, Germany

Development of render farm manager and pipeline tools for Visual Effects artists.

Independent Contractor in Deep Learning R&D, Interactions, Tele-working

Assist with Deep Neural Networks optimization activities for Automatic Speech Recognition.
Development of a flexible experimentation setup.

Research intern in Deep Learning, Interactions, New York, US

Exploration of applications of Deep and Recurrent Neural Networks to Automatic Speech Recognition, supervised by Dr. Patrick Haffner.

Research intern in Computer Graphics, IMAGINE, Inria Grenoble, France

Procedural generation of terrain from simple vector map using plate tectonics and erosion simulation on GPU, supervised by Pr. Marie-Paule Cani.

Developer and designer of CitizenWatt, http://citizenwatt.paris

Electrical consumption sensor and easy-to-use data visualization interface, supported by Paris city hall.

Generation of Folded Terrains from Simple Vector Maps

Élie Michel, Arnaud Emilien, Marie-Paule Cani. In Eurographics. 2015. [PDF]

M.Sc. Internship Report Thesis

Élie Michel. M.Sc. Internship Report Thesis, at Télécom ParisTech - CG Group, with Tamy Boubekeur. [PDF]

Paper review about acoustical radiosity

Élie Michel. For MVA lecture Audio Signal Analysis, Indexing and Transformation. 2016-2017. [slides]

Review of Image Fusion with Guided Filtering

Élie Michel. For MVA lecture Introduction à l'image numérique. 2016-2017. [HTML] [slides]

Communication in Collaborative Multi-Agent Reinforcement Learning

Élie Michel. For MVA lecture Reinforcement Learning. 2016-2017. [PDF] [slides]

Review of GPU-based Fast-FFD implementation

Mathilde Bateson, Élie Michel. For MVA lecture Introduction to Medical Image Analysis. 2016-2017. [PDF] [slides]

Using Deep Neural Networks for Automated Speech Recognition

Élie Michel. M.Sc. first year internship report. 2015. [PDF]

Génération procédurale de paysages à partir de cartes vectorielles

Élie Michel. B.Sc. internship report. 2014. [PDF]

Projet de microprocesseur

Élie Michel, Nicolas Jeannerod, Louis Garrigue, Aurélien Delobelle. For ENS lecture Système digital. 2013-2014. [PDF] [slides]

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