My teaching activities bridge engineering, computer science, artificial intelligence and biomedical applications. They span both methodological foundations and applied courses, with a strong emphasis on medical imaging, computational pathology, machine learning, computer vision and modern AI for health.
30+
Years of Teaching
AI
Core Teaching Area
Medicine
Biomedical Applications
International
France · Singapore · Peru
Teaching Themes
Current Teaching
Sorbonne University
Since 2019 — Full Professor — Paris, France
Faculty of Science and Engineering, Department of Engineering. Teaching from L1 to M2, in French and English, with course responsibility for Image Processing, Vision for Biomedicine, Foundations of AI and 3D Computer Graphics. Courses and labs were redesigned for the 2025–2029 curriculum, with new content on deep learning for image analysis, neuro-symbolic AI, large language models, and ethics, bias and explainability.
Invited Teaching
2023–2026
Explainable and interpretable AI in medicine: master-level lectures at PSL University, Paris (Mines, Dauphine, ENS and ESPCI students; 2023, 2025, 2026), and invited lecture on explainability and responsibility in AI at the Institute of Liver and Biliary Sciences, New Delhi, India (2024).
Previous Teaching Positions
Pontifical Catholic University of Peru
2016–2018 — Full Professor — Lima, Peru
Faculty of Sciences and Engineering, Department of Engineering. Teaching activities focused on medical image analysis, pattern recognition, machine learning and digital signal processing.
Université Pierre et Marie Curie / Sorbonne University
2011–2016 — Full Professor — Paris, France
Faculty of Science and Engineering, Department of Engineering. Teaching centered on medical imaging, from physical acquisition principles to semantic indexing and intelligent interpretation of biomedical images.
National University of Singapore
2013–2015 — Adjunct Full Professor — Singapore
School of Computing, Department of Computer Science. Teaching and academic activities at the interface between computer science, biomedical image analysis and intelligent information systems.
National University of Singapore
2009–2013 — Adjunct Associate Professor — Singapore
School of Computing, Department of Computer Science. Teaching and supervision activities linked to medical image analysis, image understanding, knowledge representation and biomedical AI.
University Marie and Louis Pasteur
1999–2008 — Associate Professor — Besançon, France
Faculty of Sciences and Technologies. Teaching covered artificial intelligence, computer vision, diagnosis and prognosis, control systems, fault detection, real-time systems, nonlinear systems and discrete event systems.
Institute of Technology North Franche-Comté - University Marie and Louis Pasteur
1993–1996 — Lecturer — Belfort, France
Teaching activities in production system management, logistics management, supply chain management and flexible production systems. Laboratory sessions included RFID, programmable logic controllers, local networks and production flow management.
