Research interests:
  • Industrial applications of computational intelligence and multivariate statistical methods, soft sensors, application of predictive methods in the process industry
  • Adaptation techniques: concept drift detection and handling, moving windows adaptation, recursive adaptive methods
  • Advanced machine learning concepts: ensemble methods, local learning, meta learning
  • Base level machine learning techniques: artificial neural networks, kernel methods, statistical predictive methods (PCA/PLS)


Journal Papers

Book Chapters

Conference Papers

Workshops, Symposia, Posters, Talks

PhD Thesis