Raphaël Abelé

Raphaël Abelé

Attaché Temporaire à L'enseignement Et La Recherche (Ater) @ Aix-Marseille University

About Raphaël Abelé

Raphaël Abelé is an Attaché Temporaire à l'Enseignement et la Recherche at Aix-Marseille Université, specializing in computer vision. He holds multiple degrees in computer science and is currently pursuing a PhD while also teaching programming and image processing.

Work at Aix-Marseille University

Currently, Raphaël Abelé serves as an Attaché Temporaire à l'Enseignement et la Recherche (ATER) at Aix-Marseille University. He has held this position since 2020, contributing to the academic environment in Provence-Alpes-Côte d’Azur, France. In his role, he teaches both basic and advanced computation skills, focusing on Object-Oriented Programming and image processing. His involvement in teaching reflects his commitment to educating students in the field of computer science.

Education and Expertise

Raphaël Abelé has a solid educational background in computer science. He studied at Université de Provence (Aix-Marseille I), where he earned a Technical University degree (DUT) from 2011 to 2013, followed by a Bachelor's degree (Licence) in Computer Science from 2013 to 2014. He further advanced his studies at Faculté de Luminy, obtaining a Master's degree in Computer Science and Digital Imaging from 2014 to 2016. Currently, he is pursuing a PhD focused on computer vision, supervised by the Laboratoire d'Informatique et Systèmes (LIS).

Background

Raphaël Abelé's academic journey began at Lycée Lacordaire, where he studied Technologies and achieved a Baccalauréat in the Scientific section in 2009. His education laid the foundation for his career in computer science and digital imaging. Prior to his current role, he worked as a Python developer at STMicroelectronics for six months in 2016, gaining practical experience in the industry.

Research and Collaboration

Abelé is involved in a CIFRE grant collaboration with STMicroelectronics, focusing on addressing practical problems through innovation in computer vision. His research interests include constant technology watch and innovation in the field, which fosters collaboration opportunities with industry partners. This engagement highlights his commitment to bridging academic research and real-world applications.

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