Jimmy Randrianasoa

Jimmy Randrianasoa is an Assistant Professor at EPITA, affiliated with the Image Processing and Pattern Recognition group of the EPITA Research Laboratory (LRE). He holds a PhD in Image Analysis and Processing from Université de Reims-Champagne-Ardenne (2017), a Master’s degree in Computer Science from Université de La Réunion (2014), and an Engineering degree in Computer Science from École supérieure d’ingénieurs Réunion océan Indien (France). Prior to his current role, he served as a Temporary Assistant Professor at Télécom Saint-Etienne (2018–2021) and taught Computer Science at multiple institutions, including IUT Robert Schuman (University of Strasbourg).

His research focuses on image processing, particularly mathematical morphology and hierarchical structures for image segmentation. Applications span remote sensing images and medical imaging. His work emphasizes the development of algorithms for binary partition trees, including quality evaluation frameworks like AGAT and multi-criteria segmentation approaches.

His publications highlight trends in hierarchical segmentation techniques, multi-criteria analysis, and uncertainty management in image interpretation. Notable contributions include collaborative approaches for multi-image segmentation and intrinsic/extrinsic quality metrics for binary partition trees.

He is actively involved in the LRE, contributing to the Image Processing and Pattern Recognition group’s research initiatives. No awards or grants are explicitly noted in the provided materials.