The Computer Vision & Intelligent Systems (CVIS) Research Group was established in 2003 in the Faculty of Information & Communication Technology (FICT) of Universiti Tunku Abdul Rahman (UTAR). The goal of the group is to investigate the scientific principles underlying human and animal intelligence, and its applications in solving real-world problems.

Our current emphasis is in developing vision systems that are trainable and adaptive, capable of functioning flexibly and robustly in complex changing environment. The tools and techniques being used are, but not limited to:

• AdaBoost
• Deep Belief Networks
• Convolutional Neural Networks
• Support Vector Machine
• Bayesian Networks
• Multilayer perceptron
• Evolutional Algorithms
• Swarm Intelligence
• Fuzzy Logic

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