Summary
Amine Sehaba is a PhD student and researcher in Lyon specializing in graph generative models and geometric deep learning, with nine years of professional experience across machine learning R&D and web development. He applies Python, PyTorch, and PyTorch-Geometric to bridge advanced graph-based AI methods with architectural design problems, turning spatial and structural constraints into generative solutions. His background spans industrial R&D roles and academic research at LIRIS, informed by master's and exchange studies in 3D development and computer engineering. Comfortable moving between prototypes and research code, he brings both practical production experience and deep theoretical training in AI.
9 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of Science and Technologie Oran
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Université Lumière Lyon 2
Master's degree, 3D Development and Artificial Intelligence, Master's degree, 3D Development and Artificial Intelligence at Université Clermont Auvergne
Erasmus Exchange Student, Computer engineering, Erasmus Exchange Student, Computer engineering at İstanbul Teknik Üniversitesi
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at University of Science and Technology Oran
Arabic, English, French