My expertise

RESEARCH · EDUCATION · AI

Materials & processes

Understanding thermal phenomena.Designing advanced processes.

I combine modelling and experimentation to understand and optimise the manufacturing and joining of polymers and composites, particularly through laser welding and 3D printing.

Explore this expertise
Thermal modelling, 3D printing and laser welding of composites
ModellingExperimentationManufacturing

01 THERMAL SCIENCE, MATERIALS & ADVANCED PROCESSES

Understanding physical phenomena

My research focuses on the manufacturing and joining of polymers and composites. I study interactions between thermal, optical and mechanical phenomena to understand how processing parameters influence material structure and component performance.

I combine analytical models, numerical simulations and experimental measurements, with a particular interest in laser welding, 3D printing and the hybridisation of these two processes.

Thermal scienceOpticsMechanics
Modelling, 3D printing and laser welding: combining simulation and experimentation.
Linking processing parameters to component performance.

Multiphysics modelling

Describing heat transfer and laser–matter interactions, then comparing simulations with experimental observations.

Laser welding of polymers and composites

Studying the propagation, scattering and absorption of radiation to understand welded interface formation and mechanical strength.

Additive manufacturing and hybrid processes

Analysing the thermal history of printed parts, interlayer bonding and the possibilities offered by combining 3D printing and laser welding.

Characterisation and experimental validation

Linking optical and thermal properties, microstructure and mechanical performance to evaluate models and guide manufacturing decisions.

Explore my research projects

SUPERVISION & RESEARCH TRAINING

Training and supporting early-career researchers

DOCTORAL RESEARCH

6 PhDs

3 as main or joint supervisor
3 as co-supervisor

4 defended2 ongoing
AFTER THE PHD

1 postdoc

Postdoctoral supervision

RESEARCH TRAINING

15+ master’s projects

More than 15 master’s projects supervised

Explore the PhD projectsTopics, funding and my role in each project
TH1Ongoing

Hawa Bineta KA

Manufacturing tibial prostheses through filament winding: thermal instrumentation and consolidation assisted by an infrared source.

Defence scheduled for September 2029

Background & supervision
Institution
University of Lille – IMT Nord Europe
Funding
ANR PRC TETSUOFrench National Research Agency · Collaborative Research Project
PhD supervisors
André Chateau AKUE ASSEKO
My role
Main PhD supervisor · 100%
TH2Ongoing

Mint Abat Ahmed EL HADI

Development and modelling of a process for 3D overprinting a thermoplastic polymer onto a thermoplastic-matrix composite.

Defence scheduled for December 2027

Background & supervision
Institution
University of Lille – IMT Nord Europe
Funding
CIFRE · SEGULA TechnologiesIndustry-funded doctoral research agreement
PhD supervisors
Mylène LAGARDERE
My role
Joint supervision · 50%
TH3Defended

Thi-Ha-Xuyen NGUYEN

Laser welding of 3D-printed hybrid composite parts: from processing to the mechanical and thermal performance of the structure.

Defended in October 2025

Background & supervision
Institution
University of Lille – IMT Nord Europe
Funding
ANR JCJC SHORYUKENFrench National Research Agency · Young Researchers programme
PhD supervisors
Benoît COSSON
My role
Joint supervision · 50%
TH4Defended

Marcela MATUS

Laser transmission welding of composites.

Defended on 11 December 2024

Background & supervision
Institution
University of Lille – IMT Nord Europe – ENIT
Funding
IMT Nord Europe et ENI Tarbes
PhD supervisors
Benoît COSSON and France CHABERT
My role
Co-supervision · 50%
TH5Defended

Rowshni JABEEN

Laser Transmission Welding of Biosourced Composites.

Defended on 7 December 2022

Background & supervision
Institution
University of Lille – IMT Nord Europe
Funding
ATHENS · INTERREG France–Wallonie–Vlaanderen
PhD supervisors
Chung-Hae PARK
My role
Co-supervision · 50%
TH6Defended

Anh Duc LE

Multiphysics modelling and simulation of fused deposition additive manufacturing.

Defended on 22 April 2021

Background & supervision
Institution
University of Lille – IMT Nord Europe
Funding
IMT Nord Europe
PhD supervisors
Jérémie SOULESTIN
My role
Co-supervision · 50%

02 TEACHING & EDUCATIONAL INNOVATION

Developing innovative learning

Over 100 hoursof teaching per year

I teach thermal science and advanced processes and design learning programmes that combine scientific knowledge, practical situations and digital tools. My aim is to support engineering students in their learning and doctoral students in developing their research projects.

From designing a MOOC to implementing blended learning, I combine instructional design, multimedia resources and learner support. Theresponsible integration of AI extends this approach, with a focus on critical thinking and the teacher’s role.

MOOCsBlended learningDoctoral support
Digital resources, discussions and learning activities connecting online and face-to-face learning.
Connecting learning objectives, activities and learner support.

Designing learning programmes

Structuring content aroundexplicit learning objectives and providing activities linked to scientific and industrial challenges.

Connecting face-to-face and online learning

Combining online resources, classroom sessions and tutoring to build blended programmes and support learners’ progress.

Producing and coordinating MOOCs

Designing short educational videos and interactive materials, and bringing teaching teams together around shared digital resources.

Supporting doctoral students and teachers

Helping doctoral students structure their research projects and supporting teachers as they develop their practice, particularly with AI.

Explore my teaching and training

03 ARTIFICIAL INTELLIGENCE & RESPONSIBLE PRACTICE

Integrating AI into your work, with method and judgement

I integratepredictive and generative AI into my research and teaching to explore data, optimise polymer processing and enrich learning.

My approach is based on ethical and responsible human–AI co-intelligence. AI helps analyse, explore and produce; humans contribute expertise, verify results and retain responsibility for decisions.

Start with a needVerify resultsRetain human judgement
Combining human expertise and artificial intelligence, with verification of results.
Connecting AI capabilities, human expertise and critical thinking.

Predictive AI & research

Using data and modelling to analyse processes and guide their optimisation, comparing results against physical knowledge and experimental observations.

Generative AI & learning

Exploring ideas, structuring content and designing research and teaching resources, while maintaining critical verification of outputs.

Strategy & responsible use

Starting from the goals of the activity, identifying relevant uses and building a step-by-step approach, mindful of tool limitations, the data used and human responsibility.

THE GUIDING PRINCIPLE

Understand what AI can contribute to your work, then decide where, how and under what conditions to integrate it.

Explore my approach to integrating AI

This content is being prepared and will be added in a future update.

Titan

An initial idea. A practical approach.

Titan is getting ready…