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Hamza Safri Ph.D. thesis defense: “Federated learning for the IoT : Application for Industry 4.0”
Thuesday 24th June at 3pm Paris time, Hamza Safri, Ph.D. Candidate has defended his thesis named “Federated learning for the IoT: Application for Industry 4.0”. His thesis defense took place at the Inria Minatec Grenoble, Grenoble, France. Take a look at the summary below. Keywords: Model generalization, predictive maintenance, industrial IoT, federated learning, edge network, industry 4.0 Summary In industry, equipment failures can lead to prolonged downtimes and significant financial
Clément Colin Ph.D. thesis defense : “Multi-scale geospatial data management and visualisation applied for CMMS”
Tuesday 18th of June at 10h a.m. Paris time, Clément Colin, Ph.D. Candidate has defended his thesis named “Multi-scale geospatial data management and visualisation applied for CMMS”. His thesis defense took place at the conference room of the Faculty “IUT Lumière Lyon 2” in Villeurbanne, France. Take a look at the summary below : Summary
Extracting services from legacy software system
Let’s explore together the recent poster created by Soufyane Labsari and published about extracting services from legacy software systems. This work is done in collaboration with Inria.
Improved comment generation by LLMs
In the world of programming, creating efficient and functional software is a top priority, but it’s not just about writing lines of code. An essential part of the software development process is documentation, which includes the creation of explanatory comments that help to understand the operation and logic of the source code. However, writing these
Federated Learning, the security asset for local maintenance of your data
Predictive maintenance, coupled with the Internet of Things (IoT) and Artificial Intelligence (AI), represents a revolutionary approach to equipment maintenance. Traditionally, maintenance has been performed on a fixed schedule or in response to failures, leading to inefficiencies and downtime. Predictive maintenance aims to address these shortcomings by leveraging IoT sensors and AI algorithms to predict
Information extraction from Berger-Levrault books and articles
Historically, Berger-Levrault has been a publisher of legal and practical books and articles. The articles are on line and come from Légibases. Exploiting the knowledge contained in these texts is difficult. This is why it is necessary to structure the knowledge so that it can be accessed quickly. Berger-Levrault develops software solutions specialized in Automatic
A Modest first step in Test Generation
In the field of software development, code testing is a paramount task that should never be overlooked. At Berger-Levrault, we take this responsibility seriously and enforce a strict policy that includes the establishment of continuous integration (CI) and quality gates in our SonarQube server. Testing not only supports various developer activities, but also serves as
Boubou Thiam Niang Ph.D. thesis defense : “A Model-Driven Engineering and Software Product Line Approach to Support Interoperability in Evolving Systems of Information Systems”
Tuesday 28th of March at 10h a.m. Paris time, Boubou Thiam Niang, Ph.D. Candidate will defend his thesis named “A Model-Driven Engineering and Software Product Line Approach to Support Interoperability in Evolving Systems of Information Systems”. His thesis defense will take place at the conference room of the Faculty “IUT Lumière Lyon 2” in Bron,
Classification of business documents to aid extraction: the use of typed and weighted lexical-semantic relations
I’ve been a member of the Berger-Levrault research team since 2020. I’m working on a CIFRE thesis on methods and models for the automated construction of multi-domain ontology databases, in collaboration with the Montpellier Laboratory of Computer Science, Robotics and Microelectronics (LIRMM). This work was presented at the PFIA (Plate-forme Intelligence Artificielle) 2023 in Strasbourg
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, and so on. In this
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 many asset representations to answer
20th International Conference on Software Technologies – ICSOFT 2025 (Spain)
CIFRE Strategic orientation committee x ANRT (Paris – France)
Regional morning: Transforming maintenance into a profit center x Swarm itc and AFIM (Charbonnières Les Bains – France)
9th International Workshop on Green and Sustainable Software – GREENS’25 (Ottawa – Canada)
Hamza Safri Ph.D. thesis defense: “Federated learning for the IoT : Application for Industry 4.0”
Thuesday 24th June at 3pm Paris time, Hamza Safri, Ph.D. Candidate has defended his thesis named “Federated learning for the IoT: Application for Industry 4.0”. His thesis defense took place at the Inria Minatec Grenoble, Grenoble, France. Take a look at the summary below. Keywords: Model generalization, predictive maintenance, industrial IoT, federated learning, edge network,
ESUG 2025: Six contributions and 2 prizes for the Software Engineering Lab team!
Congratulations to our PhDs Nicolas Hlad, Aless Hosry, Benoit Verhaeghe and Pascal Zaragoza from Berger-Levrault’s BL.Research team for their participation in the 2025 edition of the ESUG (European Smalltalk User Group) conference! This year’s conference took place from July 1-4 in Gdansk, Poland. The theme was innovation in Smalltalk technologies and their use in software
Julien Breton Ph.D. thesis defense: “Extraction and formalization of regulatory industrial maintenance knowledge from semi-structured corpus data”
Friday, 27th June at 1.30 pm Paris time, Julien Breton, Ph.D. Candidate has defended his thesis named “Extraction and formalization of regulatory industrial maintenance knowledge from semi-structured corpus data”. His thesis defense took place at the IRIT research laboratory, Toulouse, France. Take a look at the summary below. Keywords: Legal compliance,Industrial maintenance, Norm extraction,LLM (Large
New White Paper – AI for maintenance! Challenges, Opportunities and Case Studies
How is artificial intelligence transforming maintenance practices today? What are the concrete opportunities for equipment, infrastructure and fleet managers? The new white paper published by CARL Berger-Levrault offers a rich and accessible insight into these strategic questions. Entitled “AI at the service of maintenance: challenges, opportunities and case studies”, this document summarizes experience in the
New White Paper – Agentic AI, a Software and Societal Revolution!
Research at Berger-Levrault is tackling a new frontier in artificial intelligence: that of (partially) autonomous agents capable of reasoning, planning, collaborating, orchestrating and learning in complex business environments. Our new white paper, “Beyond automation – How agentic AI is transforming the software industry”, shares with you an in-depth analysis of this ongoing technological revolution, its
Clément talks at BIM World 2025 on the future of augmented maintenance using BIM models
At BIM World 2025, held in Paris on April 2-3, Clément Colin, our research engineer in BL Research team, spoke at a workshop dedicated to Digital Twins, alongside Laurent Truscello, Product Marketing Manager at Carl Berger-Levrault. The theme of their talk: “GEM & GMAO – Valuing and increasing the use of your BIM models for
From the Iberian sun to the Rising sun for federated learning
On September 2024, we had the opportunity to attend two international conferences related to a segment of our work in artificial intelligence : Data Training Without Perturbative Adjustments for Predictive Maintenance The FLTA24 took place from September 17 to 19 in Valencia, Spain. As part of this research, we studied a concrete case: predictive maintenance,
Discover our 2024 Research & Innovation Yearbook!
We are delighted to present the first edition of the Research and Innovation Yearbook. This annual retrospective reflects the commitment and ambition of our Research and Technological Innovation Department at Berger-Levrault (also available in French and Spanish versions below). By highlighting our most audacious projects and innovative initiatives, we hope to share with you the
