معرفی
François Roueff is a Professor at TELECOM Paris, part of the Institut Polytechnique de Paris. He holds a position within the Laboratoire Traitement et Communication de l'Information (LTCI). His research focuses on statistical signal processing, time series analysis, stochastic processes, and mathematical statistics. He has been actively involved in supervising 14 PhD students, contributing to advancements in statistical methodologies and their applications in various domains.
Key research interests include wavelet analysis, long-memory processes, and nonparametric estimation. His work spans theoretical contributions to applied problems such as energy spectrum reconstruction and network traffic analysis. Recent publications emphasize methodological advancements in machine learning, variational inference, and tensor factorization for multi-site energy management.
Roueff’s articles demonstrate expertise in time series modeling, stochastic processes, and statistical theory. Notably, his work on fractional calculus and operator theory has expanded the understanding of Hilbert space-valued processes. He has collaborated on projects involving signal processing for nuclear spectroscopy and infrasound detection, showcasing interdisciplinary applications.
His advising contributions include co-supervising prominent students like Tepmony Sim (2016) and Amaury Durand (2022). Research grants and collaborations have enabled advancements in statistical methodologies for modern data analysis challenges.
