MESSAGE OF THE DIRECTOR
Join the AI revolution
The ETIS laboratory is at the heart of the current AI revolution. Learning and adaptation algorithms based on data constitue the core of the developed systems. Our skills are in the field of learning, optimization, large scale smart processing and low footprint computing.
Welcome to Etis
UMR CNRS 8051
ETIS is a joint research department between CYU Cergy Paris University, ENSEA Graduate School of Electrical Engineering and CNRS/INS2I. The department is currently headed by Prof. Olivier Romain assisted by Dr. Veronica Belmega.
Getting started
Meet one of us !
(randomly picked among our people)
MCF HDR, ENSEA
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From February 2022, Mathias Quoy will spend 6 months at IPAL. From February 2022, Mathias Quoy will spend …
Call for Posters, Workshop on “Body Image & Cross-sensory Correspondences: What about Infants and Robots” at IEEE ICDL …
Prof. Arsenia Chorti, co-head of ICI group, becomes Associate Editor-in-Chief for the IEEE Communications Society Best Readings for …
Entretien croisé avec Valérie Lee et Camille Simon-Chane Surveiller des fonds, préparer des chantiers de collections, trier des …
Tarek Elhouari (PhD), Alexandre Bordat (PhD), Amine Khelif (MCF ESIEE-IT)) and Jordane Lorandel (MCF CY) from the CELL …
Co-edited by Rachid Chelouah (ICI Group), co-published by Wiley. “Machine learning and optimization techniques are revolutionizing our world. …
Prof. Chorti, co-head of ICI group, is an invited speaker at the following three major events around 6G …
Lola Cañamero and Philippe Gaussier are the general chair of the 16th International Conference on the Simulation of …
In collaboration with ETIS, Central Washington University (USA) and Transilvania University of Brasov (Romania), we organise the 2nd …
Lola Cañamero (PU et Chaire INEX Neurosciences et Robotique au laboratoire ETIS, dans l’équipe Neurocybernétique) a donné une …
Clara Brémond introduces “Micro-Unet” architecture for brightfield image segmentation during GDR ISIS workshop. On 26th of November, Clara …
Student Paper Award for Sebastien Thomet at 34th DFT IEEE Conference Sebastien Thomet (PhD student, CELL team, STMicro) …
