Scientific skills

• Machine learning, deep learning, attention-based models.
• Decision fusion, data fusion
• Models of human context
• Semantic web, ontologies
• Smart homes, smart offices, pervasive computing
• Internet of Things, digital twins

Programming and technologies

• Python, scikit-learn, Pytorch
• Java
• RDF, OWL, SPARQL
• IoT and smart home technologies, ZWave, Thread, Matter
• Docker
• Prolog

Diplomas

• Doctoral thesis: Recognizing and predicting activities in smart homes, defended in 2018. Supervision: Grégoire Lefebvre (Orange), Fano Ramparany (Orange), James L. Crowley (Université Grenoble Alpes, LIG, Inria).
• Computer science engineer: Institut National des Sciences Appliquées (INSA) de Lyon, 2015. With honours, Rank: 7/106.