Rachid Deriche
About Rachid Deriche
Rachid Deriche serves as a Research Director at Inria and leads the Athena Project Team, focusing on the Central Nervous System through advanced computational imaging techniques. His academic background includes degrees in Mathematics, Telecommunications Engineering, and extensive research contributions in image processing, computer vision, and neuro-imaging.
Work at Inria
Rachid Deriche serves as a Research Director at Inria and leads the Athena Project Team. His work primarily focuses on exploring the Central Nervous System through advanced computational imaging techniques, including diffusion Magnetic Resonance Imaging (dMRI), Magnetoencephalography (MEG), and Electroencephalography (EEG). Under his leadership, the Athena Project Team collaborates with various hospitals to apply computational imaging expertise to clinical and neuroscience challenges.
Education and Expertise
Rachid Deriche has a solid educational background in engineering and mathematics. He studied Telecommunications Engineering at Telecom ParisTech, where he earned his engineering degree from 1977 to 1979. He furthered his studies at Université Paris Dauphine, obtaining a Doctor of Philosophy (PhD) in Mathematics from 1979 to 1982. Additionally, he pursued studies in Computational Signal and Image Processing and Computer Vision at Université de Nice-Sophia Antipolis, achieving Habilitation à Diriger des Recherches in 1991.
Background
Rachid Deriche began his research career at Inria Rocquencourt near Paris, where he conducted research until 1988. He then transitioned to Inria Sophia Antipolis near Nice, where he continued his work in image processing, computer vision, and neuro-imaging. His research contributions span several decades, with significant developments in image processing during the early 1980s, advancements in computer vision in the early 1990s, and a focus on neuro-imaging in the early 2000s.
Achievements
Rachid Deriche has made notable contributions to the fields of image processing, computer vision, and neuro-imaging. His research aims to develop mathematical models and computational tools that enhance the understanding of the architecture and functioning of the human Central Nervous System. Through his collaborations with hospitals, he addresses critical clinical and neuroscience questions, applying his expertise in computational imaging to real-world challenges.