Data Analytics (2017 – 2019)

Qwant develops classic semantic search engine solutions and child-friendly search engines. One of Qwant’s main objectives is to respect the privacy of its users. This chair under the scientific responsibility of Professor Dan Vodislav had the following objectives

  • Deepen R&D topics on the following themes: Data Analytics on web and social network content, efficient processing of multi-criteria top-k queries on social network feeds or on the web, ranking and visual content mining of images and videos.
  • Promote the recruitment of students from the University in strategic professions.
  • Prototype and develop proof of concepts.


Connected objects and intelligent services

The purpose of this chair is to explore R&D topics in the field of connected objects and intelligent services, to promote the development of training in this field and to support prototyping. Several actors are involved at the university: the ETIS laboratory, the FacLab and the students of the Master’s Degree in Engineering, specialising in intelligent and communicating systems.

CY Initiative ASIA Chair (2018 - 2021)

Learning in Autonomous Intelligent Systems

ASIA is part of the field of artificial intelligence in connection with the theme of complex systems and their societal impact. The scientific objective is to enable the development of disruptive fundamental approaches in application frameworks responding to major societal challenges (IoT, 5G, autonomous vehicles, health, data security, intelligent buildings). This chair will also strengthen the site’s international visibility and attractiveness in the field of responsible intelligent systems.

CY Initiative NEUROBOT Chair (2020 - 2023)

Understanding cognitive mechanisms is one of the major challenges of science in the 21st century. Advances in this field closely combine neuroscience, Artificial Intelligence and Big Data. Recent advances in Artificial Intelligence are based on neural network algorithms developed in the 1980s and now applied on a large scale thanks to the increase in computing power and the volume of data processed. However, these algorithms, even if they use formal neurons arranged in layers, do not explain the biological mechanisms of cognition. To explore this dimension, the consideration of results found by neurobiologists and neuropsychologists is crucial. The dialogue with these disciplines allows us to propose models of cognitive processes. These models can be simulated on intelligent software agents.

They can also be tested on robots. In particular, the robot makes it possible to study the physicality of cognitive processes, especially the perception/action coupling and the “embodiment” of cognitive processes. Robotic experiments then allow feedback to neurobiologists and neuropsychologists to propose new experiments on animals or in humans. This chair project supported by the UCP thus aims to place at the heart of the Paris-Seine Initiative’s dynamics the strategic issues related to the understanding of cognitive mechanisms by questioning both neuroscience and robotics.

This chair is held since September 2020 by Professor Lola Cañamero.