The IntelSys RIG serves as a melting pot of ideas and expertise in research areas such as computer science, biology, engineering, mathematics, library and social sciences.
One objective of IntelSys RIG investigators is bridging the gaps between theoretical knowledge to applied areas by developing data driven models and algorithms. Researchers unlock the power of multiscale models by making complex data accessible to scientists from a broad scope of disciplines.
Computational Intelligence: artificial neural networks, evolutionary computation, fuzzy logic. machine learning, computational neuroscience, swarm intelligence, artificial immune systems, evolutionary computation
Knowledge Engineering: knowledge representation and reasoning, databases, conceptual modeling and ontological analysis, data mining, knowledge acquisition, data and knowledge integration, Web science, semantic web, linked data management, scientific data management
Advance System: All of related with Information and management system
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