The general research interests lie in the realm of Computational Intelligence (CI), bioinformatics, and Granular Computing regarded as a recent development in the design and analysis of intelligent and human-centric systems. CI hinges on a synergistic interaction of the leading information technologies such as fuzzy sets, neural networks and evolutionary computing. The key research activities focus on the following pursuits:
The development of an array of architectures of CI systems exploiting an important synergistic interaction between fuzzy sets (and granular computing, in general), neurocomputing and evolutionary methods. The focal point of research deals with neurofuzzy systems, their learning and interpretation of the resulting constructs.
Development of features of human-centricity of intelligent systems (which in turn invoke detailed studies on mechanisms of collaboration, filtering, and relevance feedback)
Applications of CI to several specific areas including face recognition, biometrics, software engineering (software measures, software cost estimation, software product lines), data mining and knowledge discovery
Intensive numeric experimentation with the variety of CI models with emphasis on the scalability analysis of the models (dimensionality reduction)
Event detection in streams of data for data mining
