Deeply committed to pedagogy, I apply active and project-based approaches reinforced by AI. I adapt teaching to the diversity of student profiles by making them actors in their own learning. They develop autonomy, a sense of responsibility, and technical expertise, which they showcase particularly during post-internship presentations. Projects, designed with a "product" logic, integrate technical, managerial, and strategic dimensions (management, intellectual property, business model, etc.). This approach fosters motivation, collaboration, and the sustainable acquisition of skills.
"Applied Mathematics Engineering: Support and Cooperation Program with Togo (IMPACT)"
A collaborative project in partnership with the University of Lomé (Togo), UTT, IMT Albi-Carmaux, and UTBM. It aims to structure a complete LMD system in mathematical engineering (logistics, computer science, AI & Big Data).
Funding: ANR – Call for projects "Partnerships with African Higher Education" – €2.8 M.
"AudioVideoCast for Project-Based Flipped Classroom"
Implementation of an innovative pedagogy combining project-based learning and flipped classroom methods, featuring online resources, interactive sessions, and personalized support.
Funding: 1st call for "Innovative Pedagogy" projects – €10 K.
"Network of interactive small intelligent vehicles"
An inter-departmental project aimed at creating a common practical laboratory platform for the Computer Science and Electrical Engineering & Control Systems departments.
Funding: BQE – €19 K.
Scheduled to open in September 2026, in partnership with LLLC/CSL and the University Hospital (CHU) of Strasbourg. This Master's trains experts in AI applied to healthcare: remote monitoring, personalized medicine, diagnostic assistance, and care pathway optimization. It is designed for engineers, healthcare professionals, and executives in career transition. UTBM thus asserts itself as a key player at the research-health-technology interface.
In partnership with LLLC/CSL Luxembourg, this international Master's program addresses the strong growth of Cloud Computing (+21%/year). Targeting employees and open to both initial and continuing education, it complements the FISE/FISA/AI & Big Data curricula. Courses are taught by UTBM faculty and professionals, ensuring high employability and integration into the Luxembourgish economy.
The IMPACT project supports the University of Lomé in structuring a complete training system in mathematical engineering (logistics, computer science, AI & Big Data), from Bachelor to Doctorate, with double degrees recognized by the CTI and integrated into the local economy. 2031 Objective: create the Polytechnic School of the University of Lomé (EPUL), an ecosystem of excellence. IMPACT also strengthens ties with companies through a Training-Industry Relations service, an incubator, and an Open Innovation Lab integrated into the REFFAO.