Yassine Ouzar

Currently, I am a Postdoctoral Researcher at CRIStAL Lab , Centrale Lille , specializing in the advancement of AI-based solutions for clinical decision support systems.

My research interests extend to computer vision and machine learning for multimodal affective state recognition and remote vital signs measurement. Before joining CRIStAL Lab , i successfully completed my academic journey with a PhD in Computer Engineering, Automatic Control, and Signal/Image Processing at LCOMS Lab , University of Lorraine (UL) . During this enriching experience, I had the privilege of being mentored by Professor Choubeila Maaoui and working collaboratively with Dr. Frédéric Bousefsaf .

I am passionate about the intersection of Artificial intelligence and healthcare, and I am dedicated to making a significant impact in the field through my research and innovation.

Email / CV / Google Scholar / Researchgate / Linkedin

Work Experience

LCOMS Lab	ATER	(Oct 2022- Aug 2023)
Neuro Research Team	Research Intern	(Apr- Sep 2019)
Embedded Systems Team	Research Intern	(Jan- Jun 2018)

Publications

	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 : Incertainty 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