Computational Intelligence

The Computational Intelligence (CI) laboratory engages in fundamental as well as applied research in computational intelligence that includes evolutionary methods, fuzzy sets, granular computing, near sets, neural networks and rough sets. In parallel with ongoing research projects, this Laboratory provides the community with fully updated information on CI.   This web page provides a partial view of our recent as well as ongoing research in the form of research reports, dissertations, recent publications and film clips.

Current CI laboratory research embraces a number of long-term projects such as

• adaptive gaming in therapeutic rehabilitation,
• adpative learning by biologically-inspired intelligent systems,
• feature selection and pattern analysis,
• image processing and object recognition,
• near sets: theory and applications,
• robotics,
• rough sets: theory and applications,
• telerehabilitation.

For more information, visit the CILab homepage.