Progress in Additive Manufacturing
Scientific articles, books and training
A selection of my scientific articles, writing projects and training courses.
A selection of recent articles
View my HAL profile ↗Express Polymer Letters · 20 (4), 342–348
One-step ultra-fast production of millifluidic devices: Technical proof-of-concept
Journal of Advanced Joining Processes · 10, 100252
Characterization and modeling of laser transmission welded polyetherketoneketone (PEKK) joints: influence of process parameters and annealing on weld properties
Journal of Advanced Joining Processes · 9, 100186
Investigating laser intensity profile and light scattering effects in the transmission laser welding process of 3D printed parts
Generative AI in scientific and technical work
ARTICLE SUBMITTEDTechniques de l’Ingénieur
Effectively integrating generative AI into scientific and technical work
An article on integrating generative AI into scientific and technical activities.
Forthcoming publication · Date not announcedResponsible use of AI in research
A doctoral training course at the University of Lille, planned for the first semester of the 2026–2027 academic year, focusing on the responsible integration of AI into research activities.
MY BOOK PROJECTS
Three books to understand and use AI
Click a cover to discover the book.
Build an AI strategyExplore the five-step approach
Integrating AI into your work responsibly
Building an AI strategy starts with your work: what would you like to improve?
Understanding what AI can do and where it goes wrong, identifying useful applications, preparing data and organising human oversight: I develop a step-by-step approach to move from a concrete need to considered and evaluated use.

Understand AI
Discover how it works, its capabilities and its limitations, to understand what can be entrusted to it and what needs checking.
Start with your needs
Define what you want to improve, identify practical uses and choose an initial task suited to your resources.
Prepare your resources
Check the availability and reliability of data, choose tools and develop the necessary skills.
Establish rules for use
Protect people and their information, clarify responsibilities and set boundaries for actions entrusted to AI.
Test and improve
Experiment within a limited scope, compare results with and without AI, then adjust before using it regularly.