معرفی
Baptiste Lafabregue is an Associate Professor of Computer Science at the University of Strasbourg, affiliated with Télécom Physique Strasbourg and the ICube Laboratory. His research focuses on artificial intelligence with specialization in clustering algorithms and time series analysis, particularly applied to remote sensing data. He teaches undergraduate and graduate courses in computer science while maintaining an active research program in machine learning.
His educational background includes a PhD in Computer Science from Université de Haute Alsace (2021), an MSc in Computer Science Engineering from École Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (2014), and a BSc in Computer Science from University of Strasbourg (2012).
Lafabregue's research interests center around time series analysis and collaborative clustering methodologies. His work bridges theoretical machine learning with practical applications in satellite imagery and remote sensing, developing novel constrained clustering approaches that incorporate domain-specific knowledge while reducing reliance on labeled data. His research has significant implications for agricultural mapping and environmental monitoring.
His publication record demonstrates a clear progression in deep learning applications for time series clustering, with increasing focus on satellite image time series analysis. The research shows evolution from traditional constrained clustering methods to deep learning integration, with particular attention to practical implementation challenges in remote sensing applications.
Lafabregue has managed multiple research projects including two MSc research projects and supervised interns working on clustering and segmentation libraries for remote-sensing images. His professional experience includes research engineering positions focused on re-engineering and maintaining clustering libraries, demonstrating both theoretical and practical expertise in his field.
He is a member of the Science of Data and Knowledge (SDC) team at the ICube research laboratory, where he contributes to advancing methodologies in time series analysis and clustering algorithms with applications to real-world remote sensing problems.
