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CIKADA aims at developing an interdisciplinary research group for bringing together researchers pursuing research in computational intelligence and knowledge discovery to model and simulate real-world problems. CIKADAs focus includes fuzzy pattern recognition, artificial immune systems, evolutionary algorithms and systems, kernel methods, intelligent agents, multi-agent systems, and knowledge discovery research on neural networks, support vector machines, genetic algorithms and hybrid models. CIKADA will investigate those models and apply them to discover useful knowledge from various forms of data in security, e-health, brain-computer interface, educational systems, financial forensics, biometric engineering, sport modelling, social modelling soft computing, smart technologies for green systems and smart commerce systems. Research in CIKADA focuses at producing workable solutions to complex real world problems.