Laurent Oudre

Laurent Oudre is a full professor at the Centre Borelli of the École Normale Supérieure Paris-Saclay (France). He leads a team of more than ten young researchers and has been working for about fifteen years on signal processing, pattern recognition and machine learning for time series. His work covers a wide range of topics: event detection (including change-point, pattern and anomaly detection), feature extraction, unsupervised or semi-supervised approaches, representation learning and graph signal processing. His scientific projects are mainly focused on AI applications in health and industry, often with a strong interdisciplinary component. He is also involved in initiatives around reproducible research and acculturation to AI (especially for the medical community). He is the author of more than 100 journal papers, conference articles and patents. He is also the director of the MVA (Mathematics, Vision and Learning) master's degree at the ENS Paris-Saclay.