The Laboratory works on scientific research in the field of technical sciences and specifically on:

• research and development of machine learning algorithms and their application in data analysis
• theory and application of knowledge representation and reasoning algorithms
• development of numerical algorithms for modeling of complex systems

Currently we work on:

• development of algorithms for rule induction from large datasets
• evaluation of outlier detection algorithms and development of a new approach based on random forests
• data mining in social applications (political instability, direct foreign investment, international tourism industry)
• detection of subgroups of patients by mining gene expression data
• medical and technical ontologies as well as representation and reasoning for procedural knowledge
• evaluation of the quality of computational annotations in the gene ontology
• development and application of the GMDH based modeling
• development of surrogate models of the reduced complexity for embedded computer systems