multivariate statistics

Data-driven Anomaly Detection in Industrial Processes

Fouzi Harrou, Senior Research Scientist, Statistics

Feb 12, 12:00 - 13:00

B9 L2 R2325

anomaly detection multivariate statistics artificial intelligence AI

This talk presents a model-based anomaly detection framework, along with data-driven process monitoring approaches based on multivariate statistical methods and artificial intelligence techniques.

Maicon J. Karling

Postdoctoral Research Fellow, Statistics

goodness-of-fit tests multivariate statistics skewed distributions Time Series

Education B.Sc. in Mathematics (2014) - University of Coimbra, Portugal. B.Ed. in Mathematics (2015) - Unisinos, Brazil. M.Sc. (2017) and Ph.D. (2021) in Mathematics: Probability and Statistics - Federal University of Rio Grande do Sul, Brazil. Research Interests Goodness-of-fit tests, multivariate statistics, skewed distributions, and time series.