Hugo Raguet

Hugo Raguet serves as an Associate Professor at INSA Centre-Val de Loire in Blois, France, with research affiliations at the Fundamental and Applied Computer Science Laboratory (jointly associated with University of Tours). His work bridges theoretical computer science and applied mathematics, focusing on algorithmic solutions for real-world computational challenges.

His research expertise spans:

• Signal Processing: Developing efficient algorithms for real-time applications and medical imaging
• Optimization: Advancing convex and non-smooth optimization techniques with graph-based regularization
• Sensitivity Analysis: Pioneering targeted methods using dependence measures for domain-specific phenomena
• Image Processing: Extending raster-to-vector conversion to multicolor systems

Publication analysis reveals consistent innovation in splitting methods (Douglas-Rachford, forward-backward) and preconditioning techniques, with strong emphasis on computational efficiency for graph-structured problems. His work frequently bridges mathematical theory with practical implementations in signal processing and machine learning.

No scientific awards are documented in available sources. Student advising and grant information remain unspecified. Raguet actively contributes to the Fundamental and Applied Computer Science Laboratory, where he develops open-source tools for academic collaboration including live conferencing software and LaTeX templates for scientific communication.