About
Prof. Jean-Yves RAMEL is a faculty member at Savoie Mont Blanc University's Department of Computer Science (LISTIC laboratory). Previously, he served as a Professor at Polytech’Tours (2007–2023) and held roles at INSA Lyon (1997–2002). His research focuses on machine learning on graphs, medical and document image analysis, and interactive learning systems. He has published extensively in journals like Pattern Recognition and Medical Image Analysis. His work spans medical imaging segmentation, graph-based algorithms, and historical document processing. Notably, he contributed to projects like BVH (Bibliothèques Virtuelles Humanistes) and developed methods for graph edit distance and dynamic classification. He maintains active collaborations in digital humanities and has supervised numerous projects in computer science education.
Education:
- PhD in Computer Science (1996), INSA Lyon: 'Interpretation automatique de documents graphiques'
- Maitre de conférences positions at INSA Lyon (1997–2002) and Polytech’Tours (2002–2023)
Research Interests:
- Machine Learning on Graphs: Graph neural networks, graph embedding, and graph matching algorithms.
- Image Analysis: Medical imaging segmentation, historical document processing, and 3D texture analysis.
- Interactive Learning Systems: Dynamic classification, anytime algorithms, and one-class classifiers.
Publications: Over 140 publications, focusing on graph-based methods, medical imaging, and document analysis. Recent work includes advancements in CNN/GNN pipelines for brain imaging and grammar-reinforcement learning for graphs (2025).
Grants & Projects: Led the LIFAT lab (2018–2021) and contributed to the BVH digital humanities program. Active in collaborative projects involving medical imaging segmentation and historical document digitization.
Labs/Teams: LISTIC laboratory (Savoie Mont Blanc University) and prior roles in LIFAT (Tours) and INSA Lyon's Interaction Collaborative lab.
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