Internship at ANAXAM: Multimodal Data Processing for Industrial Applications
We are pleased to host Maël Bernard for his internship …
About the Internship
This internship is part of Maël’s study program to obtain his engineering degree in Aeronautical and Aerospace Engineering. He is studying at the engineering school ISAE-ENSMA (École Nationale Supérieure de Mécanique et d’Aérotechnique), where he is enrolled in a three-year program. The school is located in Chasseneuil-du-Poitou, a small town near Poitiers in France.
During his internship at ANAXAM, Maël made valuable contributions to our projects in the field of multimodal data processing for industrial applications at the synchrotron.
Diffraction Data Analysis
Maël worked on improving the detection of diffraction patterns with the goal of categorizing anomalies to enable direct actions on the beamline. For this purpose, he tested new physical indicators (FFT, entropy) as well as machine learning approaches. While a fully reliable method for the automatic classification of poor-quality spectra from raw images has not yet been established, his work provided important insights for further development.Video Analysis of Mixing Processes
Using high-speed recordings of mineral samples during mixing, Maël studied differences in particle trajectories as well as the influence of mixing time on grain movement. To support this work, he developed a grain-tracking algorithm that enabled detailed analysis based on indicators such as total distance traveled, sinuosity, and spatial dispersion.
Automation in Imaging
As part of our imaging activities at the ESRF, Maël developed a script to automate horizontal centering and needle height adjustment. Validated in two experiments, this solution replaced manual alignment with a fully automated process, improving both precision and efficiency.Tomography Data Corrections
In addition, Maël addressed challenges in tomography data analysis, where needles often appeared tilted or curved. He developed two correction methods: one to completely straighten all images for a perfectly aligned needle, and another to optimize orthogonal views by rotation—correcting tilt while preserving curvature when relevant for analysis.
With his curiosity, technical skills, and dedication, Maël made significant contributions to several of our projects and helped to advance them considerably. We thank him for his commitment and wish him all the best for his future career.
This is what Maël Bernard says
This internship was highly enriching both professionally and personally. I particularly appreciated the diversity of tasks, the applied research addressing concrete challenges, and the chance to work within a passionate, cooperative team always ready to share its knowledge. These experiences gave me formative and memorable professional moments. I also gained valuable insights, including the importance of applied research for industry, the balance between speed and precision, and the demanding yet fascinating process of conducting experiments at a Synchrotron.”
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