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.
BL.OptiMAS: a Multi-Agent System-based model towards resolution of Routing and Scheduling Problem under uncertainties
Home care aims to provide appropriate health services to patients in the comfort of their home. This kind of services must be provided on a daily or weekly basis. To organize caregivers rounds, managers use predefined programs that specifies the cares services to be carried out, as well as the
Visualize your codebase with Moose
Developing an application is teamwork. It requires complementary skills to make it run smoothly. Though, bugs happened frequently and it’s not easy to read the code and all its interdependencies. So the easiest way would be to call your colleague who worked on it, but he has a flu and
Pascal Zaragoza Ph.D. thesis defense: Model-driven migration of monolithic applications towards a microservice-oriented architecture
The passage to Cloud Computing fostered the development of new architectural styles to take advantage of its capabilities. The microservices oriented architecture (MSA) is the last style to emerge. This architecture is organized around small services focused on specifics business features, operating in independents processes and communicating through light interfaces.
RPA to automatically collect contacts over the web
To improve Berger-Levrault network, we work in collaboration with the sale department to collect the last news about DGS (Director General of Services) in France. The DGS is directly linked to the elected representative and insure the general coordination of services to implement municipality’s projects. This strategic position embodies the
A Federated Learning Framework for IoT
There are thousands of institutions like hospitals collecting private and sensitive data, which mean they can not be transferred to be used. Though federated learning needs data to be trained. As we can not send them to a database like this (unprotected, non-confidential), a solution has been thought: each institution
BL.Predict, the clairvoyant of maintenance for Le Havre city
Imagine you won the lottery (yes, we all dream about it) and bought Versailles castle. You can not remember if you closed the bathroom tap on the other wing of the castle. Do not worry, you do not have to walk ten minutes long, you just have to check your
BL.Exchange, a solution to make softwares relationship friendly
Nowadays, the IT market is made of thousands apps with even more software options. Organizations are using different kind of apps with distinct sets up which evolves really fast for different purposes. In addition, the apps are developed according to technical standards that are constantly evolving. This context makes the
BL.SenseLife MVP
A Minimum Viable Product (MVP) is a first version of a new product with enough features to address the most important needs of users and customers, who can next provide feedback for future evolutions. It is basically the first implementation of an idea into a deployable and marketable solution with
Casino, a tool to migrate applications
For five years now, our team is working on the preparation to migrate Berger-Levrault’s apps. To ease framework’s transition to new standards, we created Casino. A homemade tool to assist in future migrations. Casino, what’s that? It’s an innovative tool to simplify the migration process by automatically transforming apps code.
