معرفی
Pavlo Mozharovskyi is a Full Professor at Télécom Paris within the Signal, Statistics and Learning (S2A) team of the Information Processing and Communication Laboratory (LTCI). His research focuses on data depth, machine learning, computational statistics, and robust statistical methods, with applications in functional data analysis and explainable AI.
- Education: Kyiv Polytechnic Institute (automation control and informatics), University of Cologne (PhD in computational statistics, 2014)
- Previous roles: Postdoctoral fellow at Centre Henri Lebesgue (Rennes), member of CREST laboratory (ENSAI)
His recent 15 publications (2023-2025) emphasize data depth algorithms, anomaly detection, and edge computing, reflecting his expertise in statistical depth theory and its applications. Notable works include advancements in projection depth computation, quantum statistical metrics, and interpretable neural networks for audio classification.
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