Our research activities cover a broad range of topics such as data mining, neural networks, fuzzy systems, evolutionary optimisation, machine learning, pattern recognition, user-adaptive systems, computer graphics, computer vision and bioinformatics, all collectively brought under a common denominator which encompasses intelligent, nature and biology inspired methods and approaches in investigating, modelling and simulating complex systems that enhance learnability, adaptability and autonomicity.

Research aims

  • To perform internationally recognised and world-class research in the analysis, design and application of CI methodologies
  • To seek excellence in teaching subjects from CI fields
  • To transfer our knowledge and expertise to the industry and attract funding through research projects

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