My research activities are part of several academic and partnership projects, dealing with artificial intelligence, the analysis of heterogeneous and multimodal data, e-health, mobility, chronic pain and the mining of complex data.
Ongoing projects
Securing the aerospace supply chain through the integration of multimodal and heterogeneous data and AI: audited mapping of tier-n suppliers coupled with a hybrid risk model (generative AI, tabular data, domain expertise) driven by an AI agent.
Sensor devices, heterogeneous data storage and deep learning serving mobility and public health challenges (ageing, diabetes, chronic pain). Integration of AI models into embedded sensors, within the I-SITE Clermont CAP 2025 framework and the FEDER MobiDic project.
Past projects
"Innovative Medicines Initiative" project (IMI2, H2020) bringing together 18 institutions from 12 countries: validated integrated tools to better predict, in the preclinical phase, the adverse neurological effects of drugs (pro-convulsant effects, psychiatric disorders, peripheral neuropathies).
Multimodal emotion recognition (gestures, expressions, voice, brain activity) to better understand patients' attitudes. Collaboration with the company Lojelis that led to the creation of a Labcom with LIMOS.
A support tool for chronic pain patients aimed at improving the care pathway. Our contribution: characterizing patient profiles from discrete longitudinal data, in collaboration with the Analgesia Institute.
France–Cameroon cooperation (Université Clermont Auvergne / University of Yaoundé I) on the extraction of gradual patterns — covariations of the form "the more/less x, the more/less y" — in massive and uncertain data.
