Explore our projects & studies
Explore our projects & studies
From Artificial Intelligence to Human-Computer Interaction and Software Architecture, our research team tackles complex problems across many domains. We seek at providing the best of modern technology for public services, health-care and industry.

Neolink: Lifelong pathway recommendation model
Find information about the project’s challenges by following this link. Neolink is a company created in 2012 which developed solution to encourage the internet that brings together. Its main objective is to unify economic activity and social utility in its solutions. The company has been bought by Berger-Levrault in 2019.

Wi-Filles Project
Wi-filles is an induction programme to promote digital occupations to teenager girls. If we look at figures, there are only 21,5% of women workers in this area and only 20% in digital studies field. That’s why, the FACE foundation started the Wi-Filles project in 2014. The goal of the project

Neolink: Lifelong pathway recommendation challenges
Neolink is a company created in 2012 which developed solution to encourage the internet that brings together. Its main objective is to unify economic activity and social utility in its solutions. The company has been bought by Berger-Levrault in 2019. Social services are notoriously complex to model and manage. It

Equipment 3D visualization in a CMMS application-1st part
Computer-aided maintenance systems aim at assisting administration and maintenance agents in their missions of assets maintenance (building, network, air conditioning, faucets, etc). Assets may have different representations in different geospatial data sources (2D or 3D) that can help to have a better understanding of them by providing new information. Though,

Mono2Micro-MDE : An end-to-end approach towards migrating a monolithic application towards a microservice-oriented architecture
Find the first migration approach in these articles: article 1 & article 2 In this section, we introduce a broad overview of the different phases which constitute our global MDE-based migration workflow. In short, our workflow (see Figure 1) encompasses 4 important steps : Extracting a model from the source

Image analysis for Maintenance intervention request classification
Technologies and systems for automation of maintenance tasks and equipment management are used in several cases of different business fields like security or food-processing industry for instance. The technologies used have reached a maturation stage allowing their use in real case, according to practical application specificity. However, it remains uncertainties

Backend monolithic app to microservices architecture migration – 2nd part
Find the first part of the article by following this link In the first part article, we’ve explained how to identify microservices candidates by extracting the layered architecture artifacts from the existing code of a monolithic application. Several approaches address this first step, though they either do not address the

BL.Conecta, the future kernel of city’s intermediation platforms?
Context Since few years, we observe the rise of intermediation platforms and web services consumption used through these multitude of platforms. The fact is that intermediation environments put in relation a producer/seller with a web user/consumer to enable a transaction (sales, exchange, share of products or services) that create value.

🇫🇷 Comment l’Intelligence Aritificielle va-t-elle nous aider ? (Lien)

Backend monolithic app to microservices architecture migration – 1st part
Generally, companies software are built in a three part system: a client side/user interface, a database, and a side-server application called a monolith. Monoliths are often built as a single logical executable, in a single-tiered with multiple layers: presentation, business logic, and data-access. These apps are easy to design and