Yassine Ouzar

I am an Associate Professor (Maître de Conférences) at Université Paris 8 , conducting my research within the LIASD Laboratory . My work focuses on developing artificial intelligence methods for multimodal affective computing, remote vital signs measurement, and biometry.

Previously, I was a Postdoctoral Researcher at the CRIStAL Lab and Lille Neurosciences & Cognition / Inserm , where I contributed to the CALYPSO project ., which aims to identify objective biomarkers for the detection of psychiatric disorders using AI.

I hold a PhD in Computer Engineering, Automatic Control, and Signal/Image Processing from the University of Lorraine ( LCOMS Lab ), where I was supervised by Professor Choubeila Maaoui and collaborated with Dr. Frédéric Bousefsaf.

I am deeply passionate about advancing interpretable and multimodal AI to create innovative solutions that improve clinical decision-making and human well-being.

I am always open to research collaborations and interdisciplinary projects related to affective computing, multimodal learning, biometry and biomedical engineering . If you are interested in collaborating or discussing potential joint research, feel free to contact me.

📧 yassine.ouzar@univ-paris8.fr

Email / CV / Google Scholar / Researchgate / Linkedin

Work Experience

Paris 8 University	Associate professor	(Sept 2025- Present)
Lille Neurosciences & Cognition (LilNCog)	Postdoctoral Researcher	(Oct 2024- Present)
CRIStAL Lab	Postdoctoral Researcher	(Sept 2023- Sept 2024)
LCOMS Lab	ATER	(Oct 2022- Aug 2023)
LCOMS Lab Slides	PhD	(Oct 2019- Jun 2023)
Neuro Research Team Internship report	Research Intern	(Apr - Sep 2019)
Embedded Systems Team Internship report	Research Intern	(Jan- Jun 2018)

Publications

	Peripheral skin temperature differentiates unipolar and bipolar depression Ali Amad,Yassine Ouzar, Clémence Nineuil, Fouad Boutaleb, Emery Pierson, Fabien D'Hondt, and Mohamed Daoudi Journal of affective disorders link
	Interpretable One-Class Classification Framework for Prescription Error Detection Using BERT Embeddings and Dimensionality Reduction Yassine Ouzar, Faiza Ajmi, Sarah Ben Othman, Chloé Rousselière, Bertrand Decaudin, Pascal Odou, and Slim Hammadi Computer in Biology and Medecine link
	Wearable-Derived Behavioral and Physiological Biomarkers for Classifying Unipolar and Bipolar Depression Severity Yassine Ouzar, Clémence Nineuil, Fouad Boutaleb, Emery Pierson, Ali Amad, and Mohamed Daoudi IEEE International Conference on Automatic Face and Gesture Recognition pdf
	X-iPPGNet: A novel one stage deep learning architecture based on depthwise separable convolutions for video-based pulse rate estimation Yassine Ouzar, Djameleddine Djeldjli, Frédéric Bousefsaf, Choubeila Maaoui Computer in Biology and Medecine pdf
	Multimodal stress state detection from facial videos using physiological signals and facial features Yassine Ouzar, Lynda Lagha, Frédéric Bousefsaf, Choubeila Maaoui Proceedings of the IEEE/CVF International Conference on Pattern Recognition Workshop, 2022 pdf
	Video-based multimodal spontaneous emotion recognition using facial expressions and physiological signals Yassine Ouzar, Frédéric Bousefsaf, Djameleddine Djeldjli, Choubeila Maaoui Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop, 2022 pdf
	LCOMS Lab's Approach to the Vision for Vitals (V4V) Challenge Yassine Ouzar, Frédéric Bousefsaf, Djameleddine Djeldjli, Choubeila Maaoui Proceedings of the IEEE/CVF International Conference on Computer Vision Workshop, 2021 pdf
	Estimation of blood pressure waveform from facial video using a deep U-shaped network and the wavelet representation of imaging photoplethysmographic signals Frédéric Bousefsaf, Théo Desquins, Djameleddine Djeldjli, Yassine Ouzar, Choubeila Maaoui, Alain Pruski Biomedical Signal Processing and Control (BSPC 2021) pdf
	iPPG 2 cPPG: reconstructing contact from imaging photoplethysmographic signals using U-Net architectures Frédéric Bousefsaf, Djameleddine Djeldjli, Yassine Ouzar, Choubeila Maaoui, Alain Pruski Computers in Biology and Medicine (CBM 2022) pdf

Teaching Experience

M2 MIAS Centrale Lille : Explainable AI

M2 MIAS Centrale Lille : Uncertainty Management

M2 E3A UFR SciFA - Metz : Internet of Things

M1 E3A UFR SciFA - Metz : Machine Learning

M1 E3A UFR SciFA - Metz : Oriented Object Programming

M1 E3A UFR SciFA - Metz : Web Developement

M1 E3A UFR SciFA - Metz : Computer Network

M1 E3A UFR SciFA - Metz : UNIX

L3 E3A UFR SciFA - Metz : Graphical User Interface

L1 SPI UFR SciFA - Metz : Digital Electronics

L1 SPI UFR SciFA - Metz : Algorithms and Programming