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.
Integrate Software Engineering into the everyday world
I have been a member of the Berger-Levrault research team for 6 years. And, one of our main challenges is integrating our innovation into the day-to-day world of the company. There are several ways to incorporate innovation: as an external code library, providing schema, teaching how to use new tools,
Equipment 3D visualization in a CMMS application-2nd part
Find the first part of this article by following this link Navigation in the context of a CMMS asset using geometric and semantic data Our goal is to provide the user contextual views of an asset, thus to allow him to visualize the asset at different scale or using the
Our joint team Evref – Berger-Levrault/Inria
Berger-Levrault embarked on an exciting journey in 2023 by establishing a joint research team with the Inria research laboratory and the CRIStAL laboratory of the University of Lille. Named Evref, this collaboration marks a significant milestone in Berger-Levrault’s pursuit of advancing software comprehension and modernization. Evref: A Giant Leap Towards
What are the evolutions of this law? Between abstraction and hallucination in the field of the summary of legal texts
Context Legal monitoring is a crucial activity for legal experts in order to remain in phase with legal news. It allows them to be permanently aware of current regulations and to anticipate their future evolutions, in order to apply them as soon as possible. However, with the constant inflation of
Balancing the satisfaction of stakeholders in home health care coordination: a novel OptaPlanner CSP model
As part of the development of the innovative BL.Optim solution, we questioned the concept of route optimization for home health care coordination. We are pleased to inform you that this research and innovation work has recently resulted in a scientific publication in the journal Health Systems, that brings together critical
Simulation and analysis of disruptive events on BL.Optim-HHCRSP solution
The world demographic trend will be driven by a significant increase in the number of people over 60 years of age (60% increase in the next 40 years), with a life expectancy that is expected to rise. In this context, the demand of home-based support for independent elderly people is
BL.Formation: helping HR managers aggregating similar requests to build the municipalities’ training plan
The goal of BL.Formation Each year, territorial agents can claim training courses and their managers can also ask for trainings for the department. In medium to large municipalities, these requests are sent to the training managers in the HR department. There can be a significant amount of training requests to
Neolink: Lifelong pathway co-construction
While personal coach applications are now ubiquitous, personal lifelong pathway co-construction is largely overlooked, although present for e-learning, healthcare, return to employment, home-care of elders, etc. Modeling generic lifelong pathway co-construction is feasible since these situations share many properties. We contribute to the problematics with a generic model for the
Yassine Bel Ghaddar Ph.D. thesis defense : “Data fusion for urban network mapping: application to wastewater networks”
Tuesday 13th of December at 9h30 a.m. Paris time, Yassine Bel Ghaddar, Ph.D. Candidate will defend his thesis named “Data fusion for urban network mapping: application to wastewater networks”. His thesis defense will take place at the conference room of the Faculty of science and technologies in Fez, Morocco. This
Beginning of maintenance 4.0 project at SIAAP
SIAAP, the public reference for wastewater treatment in the Ile-de-France region, embarked in 2016 on the design of a long-term strategic plan: SIAAP 2030. It aims to implement a medium-term conditional and predictive maintenance strategy. Among the challenges pursued: improving the maintenance of its industrial equipment, in particular the real-time
