Scientific Interest

• Data treatment, detection of outliers, and systematic errors
• Hotelling's T² distance, minimum covariance determinant, k-means clustering
• More information: paper (CACE 2021)
• Design of inferential (soft) sensors using data-driven methods:
• Ordinary Least Squares (OLS)
• Principal Component Analysis (PCA)
• Partial Least Squares (PLS)
• Least Absolute Shrinkage and Selection Operator (LASSO)
• Subset Selection (SS)
• More information: article, poster, video
• Detection of systematic errors and outliers within an industrial dataset:
• Visual gross error detection
• Hotelling's T-squared distance
• Minimum Covariance Determinant (MCD)
• k-means clustering
• Industrial applications:
• Fluid Catalytic Cracking (FCC) Unit - Slovnaft
• Vacuum Gasoil Hydrogenation (VGH) Unit - Slovnaft
• Advanced control of industrial distillation columns
• Basic control configurations: LV, LB, DV, LD, and Ryskamp
• More information: abstract (APMF 2019) | poster (APMF 2019)