KEDRI - Centre for Novel Methods and Computational Intelligence
Centre for Novel Methods and Computational Intelligence
This page is a summary of what our centre does and who we are. It covers:
The centre develops generic methods for efficient and accurate representation and processing of data, information and knowledge. Some of the developed methods have been used for discoveries in large research projects, e.g. SCOPE (University of Auckland), bio-protection (Lincoln University, Fonterra and Telecom).
Research projects
- Neural networks and more specifically: evolving connectionist methods for adaptive learning and knowledge discovery; neuro-fuzzy models.
- Spiking neural networks – methods and applications (Fig.1)
- Methods for personalised modelling (Fig. 2)
- Evolutionary computation
- Evolving Ontologies (Fig. 2)
- Quantum inspired methods and systems (Fig. 3)
- Methods for incremental and on-line learning
Figure 1 (a) Left: Representation of biological neuron; Right: Basic spiking neuron unit
Figure 1 b) The KEDRI spiking neural network architecture for visual pattern recognition.
Figure 2. The KEDRI methodology and platform for ontology-based personalized decision support systems consists of two interconnected parts: (1) An ontology/database sub-system; (2) Machine learning sub-system.
Figure 3. The KEDRI quantum inspired evolutionary algorithm performs exponentially faster and more accurately than the classical algorithms when evaluating combinations of variables for a modelling task.
Our researchers
- Prof. Nikola Kasabov, Centre Director
- Dr Stefan Schliebs
- Dr Ammar Mohemmed
- Haza Nuzly
- Linda Liang
- Kshitij Dhoble
- Nuttapod Nuntalid
- Norhanifah Murli
- Professor Jeffrey Hunter (Associate Researcher)
- Dr Jiamou Liu, SCMS (Associate Researcher)
- Dr Andy Connor (Associate Researcher)
External collaborators
- Prof. Takeshi Yamakawa, Kyushu Institute of Technology, Japan
- Prof. Andreas Koenig – University of Kaiserslautern, Germany
- Prof. Ikuko Nishikawa – Ritsumeikan University, Japan
- Assoc.Prof. S. Ozawa – Kobe University, Japan
