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Youssef Mourchid
Youssef Mourchid
Lecturer Researcher at CESI Dijon, France
About me
About me
I obtained my master's degree in Computer Science and Telecommunications in 2014 from the LRIT lab at Mohammed University in Rabat, Morocco, and completed my Ph.D. in 2019 at the same university in collaboration with Osaka University, Japan, and Université de Bourgogne, France. My Ph.D. research focused on applying complex networks to visual analysis for image and video processing. Following that, I worked as a Postdoctoral Researcher at Thales & Bordeaux INP/IMS Lab on the FIROSAR Project in France. I then served as a Research & Associate Professor at Yncréa Ouest/ISEN Brest, conducting research in Machine/Deep learning for computer vision. Currently, I am a Lecturer Researcher at CESI-Dijon, focusing on Machine/Deep learning for Digital health within the LINEACT Lab. My research interests revolve around these topics.
Update
Update
[Dec- 2025] PhD supervision: Yao Trésor KOFFI, Multimodal activity recognition using artificial intelligence for fall impact moment detection, funded by CESI LINEACT research grant (2 international journals, 2 international conferences, 1 national conference), defended on Dec. 12, 2025.
[January 2025] Expert role in CAIRE (Citizen-oriented Artificial Intelligence training for a Responsible Education) Project
[Jan–Jul 2025] – Research internship supervision (MSc): Heni LACHOUAK, Deep learning for real-time physical assessment and pain detection in rehabilitation exercises (1 journal article in preparation).
[Since 2024] PhD supervision: Rakshit SONI, Improving pedestrian intention understanding for autonomous driving through collaborative perception, funded by ANRT CIFRE / Stellantis
[Since 2024] PhD supervision: Fati SALAMI, Non-invasive neonatal jaundice diagnosis using multimodal, self-supervised and frugal deep learning, funded by TETFund & University Paris-Est Créteil
[Jan–Jul 2024] – Research internship supervision (MSc): Chaimae JALLOULI, Spatio-temporal networks and hypergraph transformers for automatic rehabilitation exercise assessment (1 journal article under revision).
[Jan–Jul 2024] – Research internship supervision (MSc): Aafaf RIDOUAN, Improving pain classification using spatio-temporal deep learning approaches based on facial expressions (1 conference paper).
[Jan–Jul 2023] – Research internship co-supervision (MSc): Mohammed CHEKROUN, Deep learning-based multiorgan segmentation of thoracic structures on a 0.35T MR-Linac radiation therapy system in collaboration with CHU Dijon, CGFL Dijon and UBE (1 journal article).
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