معرفی
Pierre BEAUSEROY is a Full Professor at Université de Technologie de Troyes (UTT), France, and serves as Deputy Director of the European alliance EUT+. His research focuses on learning methods, data analysis, and their applications in fields like system monitoring, urban noise analysis, and biological data processing. He teaches courses in Computer Science (Algorithms, Datawarehouse, Machine Learning) and Statistics, and has delivered lectures internationally at Shanghai University (China) and Universidad Tecnologica Nacional (Argentina).
Key research areas include detection rule training, adaptive monitoring systems, structured data decision-making, and variable selection techniques. Collaborative projects with industrial/academic partners include DARSE (CNRS-CEA), VIRTUALIS (THALES), and SCALA (ANR), among others. His work addresses challenges in non-destructive testing, flight data analysis, and real-time sensor diagnostics.
Dr. BEAUSEROY’s expertise spans both theoretical advancements (e.g., performance-constrained learning algorithms) and practical applications (e.g., agricultural quality control via imaging systems). He maintains active engagement in European research initiatives and technology transfer programs.
