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The laboratory carries out research in data mining, machine learning, data visualization, big data analysis and data fusion. We apply computational methods to solve practical problems and focus on systems biology, biomedicine and natural sciences. The laboratory is developing Orange (http://orange.biolab.si), a comprehensive suite that joins machine learning and visual programming, and collaborates in development of cool interactive web-based data exploration platforms like dictyExpress (http://dictyexpress.org).
Research areas:
Computational Biology
Machine learning and artificial intelligence
The laboratory is focused on the computational methods for modelling, simulation and analysis of fundamentally different system families. We are interested in computational approaches in systems and synthetic biology, the analysis of coordinated behaviour in biological systems, the design of quantum-dot cellular automata processing structures, and the understanding of human behaviour through the analysis of mobile sensing data. The laboratory therefore consists of four groups, the Computational Biology Group, the Collective Behaviour Group, the Quantum-dot Cellular Automata group and the Mobile Computing Group.
Research areas:
Computational Biology
Systems and networks
The laboratory conducts research in the field of biomedical signal and imaging data. Our research includes describing physiological phenomena, modelling physiologic relationships, graphically displaying anatomic details and physiologic functions, visualising biomedical signals, developing standardised databases, developing detection and recognition techniques, evaluating the performance of recognition techniques, analysing bioelectric patterns, and developing performance measures and protocols, biomedical information technologies and software.
Research areas:
Computational Biology
Machine perception and multimedia
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