The Computer Vision team, comprising experts from diverse backgrounds, is dedicated to leveraging recent AI advancements in image and signal processing. With a collective focus on innovation and collaboration, they aim to explore and undertake projects that leverage recent advancements in AI to address complex challenges in real world applications.
Processing of visual data from autonomous flying vehicles
Automatic detection and recognition of the license plate
Detection of cell phone use while driving
Detection of traffic in the prohibited direction or in the opposite direction to the rotating direction
Wided Mseddi Souidene received her national engineering degree from the Ecole Polytechnique de Tunisie, Tunisia, in 2002, her MS degree from CentraleSupélec - Université Paris-Saclay, France, in 2003, and her PhD from Université Sorbonne Paris Nord, France, in 2007. She is an associate professor at the L2TI Laboratory, Université Sorbonne Paris Nord and is assistant professor at the Ecole Polytechnique de Tunisie since 2012. Her research interests are in real time signal and image processing, image quality assessment and enhancement, image classification, computer vision and deep learning.
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Rafik Ghali received her research master's degree in Intelligent Systems of Road traffic Control from the Ecole Nationale d’Ingénieurs de Sousse, Tunisia, in 2017. He was a PhD Student at SERCOM Laboratory within Ecole Polytechnique de Tunisie, Tunisia. His research interests are in Computer Vision, Deep Learning and Image Processing (fire/smoke detection, segmentation).
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Marwa Jmal received her national engineering degree in telecommunication from the Ecole Nationale d’Ingénieurs de Tunis in 2012 and her PhD from the Ecole Polytechnique de Tunisie, in 2018. She is a R&D manager at Telnet Innovation Labs. Her research interests are in signal and image processing, including image quality enhancement, and image analysis in video surveillance (objects detection, segmentation, classification, and tracking).
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