Thierry Eude

Thierry Eude is a Visiting Professor at the University of Burgundy, affiliated with the Computer Science Department of the IUT of Dijon. He holds a Doctorate in Physical Sciences (Industrial Computing) and has held academic roles including Director of the IUT's Computer Science Department (1999–2002). His research focuses on image compression, quality assessment, and perceptual metrics, with notable contributions to medical imaging and human vision models.

Education includes a DEA in Instrumentation and Control, and a Master's in Advanced Maintenance Techniques. He collaborates with institutions like Laval University and University of Paris 13, and leads projects on digital twin technology, automated evaluation systems, and content-based image retrieval.

Key research areas span image compression techniques, subjective/psychovisual quality metrics, and segmentation algorithms. His work integrates human visual system models to enhance compression efficiency and quality evaluation. Over 30 peer-reviewed articles since 1993 reflect his expertise in digital imaging and multimedia systems.

Awards include membership in the Order of Engineers of Quebec and academic qualification for lecturer roles. He advises students on projects in image coding, quality metrics, and machine learning applications. Current initiatives include hybrid learning models and biometric authentication for remote evaluation.

Laboratory affiliations include LE2I (UMR CNRS 5158) and LVSN, focusing on interdisciplinary projects in signal processing and database systems.