My research activities include various aspects related to computational intelligence (CI). In details I'm interested in:

• rule-based systems: prototype-based rules, crisp rules, decision trees, fuzzy rules, rule extraction from trained models
• feature extraction and selection: search-based methods, feature ranking methods, PCA, ICA, FDA, etc.
• statistical and kernel methods: SVM, sparse Bayesian methods (RVM), reduced set methods
• neural networks: RBF, SOM, LVQ, MLP
• clustering: hierarchical, minimizing some scalar cost function (HCM, FCM, PCM), neural approach (SOM), statistical clustering (Gaussian Mixture Models)
• meta-learning, classifier committees, parameter selection methods
• data preprocessing: discretization, feature type transformation (symbolic ⇒ continuous), etc.
• applications of CI in the industry (fault detection, estimation of parameters of industrial processes, application in energy systems, scheduling of industrial processes, routing problems etc.)
• applications of CI in the environmental sciences