معرفی
Fabien Pierre is an Associate Professor at the University of Lorraine in Nancy, France, affiliated with the MAGRIT/Tangram team at LORIA (Lorrain Research Laboratory in Computer Science and its Applications), a joint research unit between CNRS, Inria, and the University of Lorraine. He has been a lecturer at the University of Lorraine since 2017 and previously served as Head of the DUT/BUT MMI (Multimedia and Internet Professions) department at the IUT of Saint Dié from September 2019 to August 2022.
His educational background includes:
- Doctor of Applied Mathematics from the University of Bordeaux (2016)
- Master 2 in Signal and Image Processing, with honors (2013)
- Master 2 in Fundamental Mathematics, with honors (2011)
- Mathematics Aggregation, specializing in Probability and Statistics (2012)
Fabien Pierre's research focuses on the intersection of mathematics, computer science, and image processing. His work primarily centers on image and video colorization, enhancement, and restoration techniques. He has developed innovative approaches combining variational methods with deep learning for various applications including medical imaging, film restoration, and video processing. His research has significant applications in medical diagnostics (particularly for aneurysm detection), quality control in industrial settings, and cultural heritage preservation through film restoration.
His recent publications (2021-2023) demonstrate a clear trend toward applying deep learning to medical imaging challenges, particularly in aneurysm detection, while continuing to advance colorization techniques with novel hybrid approaches that combine traditional variational methods with modern neural network architectures. This evolution reflects his ability to adapt mathematical frameworks to leverage emerging AI technologies.
As a scientific manager, he leads the ANR Arcé project focused on Automatic Colorization of Videos. His software contributions include COLOCIEL, a graphical interface for image colorization, and various Matlab toolboxes for contrast enhancement and image processing.
He actively mentors the next generation of researchers, having co-supervised several doctoral theses and internships. His current advisee is Nicolas Maignan, while he has previously supervised Arthur Renaudeau, Youssef Assis, and Gaetano Agazzotti. His teaching portfolio spans DUT-level courses in scientific culture, algorithms, and JavaScript, as well as Master's level instruction in deterministic tools and models for information systems.
Based at INRIA Nancy Grand Est, Pierre operates within a robust research ecosystem that bridges theoretical mathematics with practical computer vision applications across multiple domains.
