معرفی
MOURCHID Youssef is a Researcher-Lecturer at CESI (Campus Dijon), affiliated with the Engineering and Numerical Tools research team. He holds a PhD in Computer Science from Mohammed V University, Bourgogne University, and Osaka University (2014–2019), and completed a postdoctoral fellowship at Thales & IMS Lab, Bordeaux INP (2019–2020). His academic background includes a Master’s in Computer Science and Telecommunications from Mohammed V University (2012–2014).
- Roles: Researcher-Lecturer, Head of Building-Environment Chair, and reviewer for conferences like IEEE Image Processing and EGC.
- Teaching: Teaches computer science disciplines (Programming, AI, NLP) to engineering students and job applicants via courses, practical work, and active pedagogy.
Research Interests: Focuses on Computer Vision, Machine/Deep Learning, Complex Networks, and Digital Healthcare. Key projects include applying graph neural networks for patient rehabilitation assessment, AI-driven impact fall detection, and satellite image colorization using GANs. His work bridges healthcare technology and multimedia analysis.
Publications: Over 25+ peer-reviewed papers (6 journal articles, 13 conferences) spanning spatio-temporal graph networks, multilayer network models, and GAN applications. Recent work emphasizes healthcare applications like hypotension prediction and multimodal fall detection.
Advising: Supervised master’s and PhD students on topics like GANs for image super-resolution, multilayer network analysis of movies, and AI for medical monitoring.
