Join the AI revolution
We are at the heart of the current AI revolution Learning and adaptation algorithms based on data constitue the core of the developed systems.Design Research Group
To achieve sustainable development goals, actors are reinventing themselves, transforming their ways of working. From living to AI.Quick look back
ETIS participated to the "Fête de la Science", October 2022.
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 Prof. Lola Canamero.
Getting started
Follow us
Ten inspiring women scientists from the four teams of the ETIS lab share their career path, their passion …
ETIS will be very happy to guide you and support you in the application process for the CNRS 2023 competitive …
ETIS is recruiting three new research professors for September 2023: You can consult the detailed profiles in the …
Alexandre Bordat, doctorant dans l’équipe CELL, participe à la finale régionale MT180 – CY Cergy Paris Université, le …
Katerina Tzompanaki a participé à la campagne “EUTOPIA pour la Journée internationale des femmes et des filles de …
Inbar Fijalkow (équipe ICI), une de nos “10 inspiring women of infomation and computer science” participe mercredi 1er …
The Interplay between Affect and Cognition in Development: from Humans to Robots and back Following up on the …
Very happy to announce that our last effort for developing Deep-Based Efficient Anomaly Detection Methods in the context …
Two publications by researchers from the MIDI Team were accepted for publication in the VLDB journal in 2023:
Fakreddine Ghaffari gave a talk at the conference SERESSA 2022, in Geneva. Title: Sensitivity characterization of SRAM-based FPGA …
In the framework of a long-term collaboration with IRD on blood-sucking insect population surveillance using machine learning …