Ali Ncibi is currently a PhD student at both Inria and UVSQ Université de Versailles Saint-Quentin-en-Yvelines, focusing on machine learning applications for secure IoT traces in daily activity recognition. Previous experience includes working as a data scientist at southpigalle, where an intelligent chat-bot prototype was developed, and at INSERM DR Paris 11, where a supervised deep-learning solution for temporal links extraction in French text was created. Ali Ncibi holds a Master's degree in Data Science from Institut Polytechnique de Paris and an Engineer's degree in Telecommunications Engineering from Ecole Nationale d'Ingénieurs de Tunis, following an intensive preparatory course in math and physics at Institut Préparatoire aux Etudes Scientifiques et Techniques - IPEST. The ongoing doctoral studies in Computer Science are being pursued at Université Paris-Saclay.
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