AI & Companies Week

  • Partnerships
  • Student life
  • Research
Published on June 11, 2021 Updated on February 28, 2022

from November 22, 2021 to November 26, 2021


The Concept

AI & Companies Week or MSGI (Mathematics Study Groups with Industry) aims to foster interaction between industry and academia through a week-long workshop focusing on problems raised by industry that require innovative mathematical approaches.

On the first day, the industrial partners present and discuss the problems. Groups of 4 to 6 young researchers (doctoral and poѕt-doctoral students, or even pre-doctoral students) then work on them throughout the week. On the last day, they give an oral presentation of the results achieved in the presence of the industrial partners. Each group may receive additional support from more experienced researchers, but retain complete freedom in the leadership of their work.

In the months that follow, they prepare a report and make it available to the public.


The topics

Each industrial participant in MSGI proposes a study topic for a group of four to five young researchers. This topic must be non-academic and for which innovative solutions are expected. The organizers of the MSGI are available to discuss the topics upstream in order to best adjust them to the objectives, in order to ensure reasonable perspectives to the work that will be carried out and effective supervision during the week. From a logistical point of view, the presence of a representative of the industrial partner is necessary the first half day of the MSGI (Monday morning) in order to be able to introduce himself, introduce the subject and meet the group that will work on it. The presence is also necessary another half day, on the last day of the MSGI (Friday morning) to attend the restitution of the work and make a review. It is also desirable that a person remain reachable during the week in case a discussion about the subject is necessary.

View topics:

CEA: Deblurring images by deconvolution for a high-energy scanner
MyDataModels: Explicable unsupervised clustering strategies with mixed data on small data
Thales Alenia Space: PINN (physics informed neural networks) for PDE solving based on the simulation of a ray tracing method 
Metropole Nice Cote d’Azur: Estimating accessibility to health care facilities by public transport

Mojix: AI and RFID for accurate localization

View student presentations:

Nice Côte d'Azur Metropolis
Thales Alenia Space


Monday morning - topics presentations:     

  • 09:30-09:40    Introduction

  • 09:40-10:30    MyDataModels, MNCA- Instant Systems (25mn each)

  • 10:30-11:00    Coffee break

  • 11:00-12:15    CEA, TAS, Mojix (25mn each) 

  • 12:15-14:00    Lunch

Monday afternoon:    

  • 14:00-17:30    Working groups (coffe break 15:30)

Tuesday, Wednesday, Thursday:    

  • 09:00-12:30    Working groups (coffee break at 10:30)

  • 12:30-14:00    Lunch

  • 14:00-17:30    Working groups (coffee break at 15:30)

Friday morning - presentations of group works:    

  • 09:30-10:30    2 groups; 30mn each

  • 10:30-11:00    Coffee break

  • 11:00-12:30    3 groups; 30mn each

  • 12:30-14:00    Lunch

Dates and location

The study week will be held from November 22 to 26, 2021 on the SophiaTech campus (home of the Polytech Nice-Sophia engineering school of Université Côte d’Azur, the Learning Centre, and INRIA Sophia Antipolis Méditerranée).

Organizing Committee

  • Didier Auroux (Université Côte d'Azur)

  • Marc Barret (Université Côte d'Azur) 

  • Amar Bouali (Inria)

  • Charles Bouveyron (Université Côte d'Azur)

  • Laurent Busé (Université Côte d'Azur, Inria)

  • Jean-Baptiste Caillau (Université Côte d'Azur)

  • Stéphane Descombes (Université Côte d'Azur)


Registration reserved for doctoral and post-doctoral students of 3IA Côte d'Azur and its partners (Inria, CNRS, Eurecom, Skema...)

Register here




Industrial partners

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logo instant system


Academic partner