Center for Computational Intelligence, Learning, and Discovery

The Center for Computational Intelligence, Learning, and Discovery (CCILD) pursues fundamental research and research-based advanced training in algorithmic models of intelligence, learning, and discovery.  A major research focus of CCILD is on the development of advanced algorithms and software infrastructure for data-intensive, distributed, collaborative, integrative e-science driven by scientific, economic, and technological problems of major societal importance in virtually every area of human endeavor.

CCILD core faculty have significant breadth and depth of expertise in artificial intelligence, cognitive modeling, machine learning, data mining and statistical inference, information integration, knowledge representation, semantic web, service-oriented distributed computing, algorithm design and analysis, theory of computation, and related areas.  They are engaged in transformative research on cyber-enabled discovery in collaboration with their colleagues in several areas.  Some of this research is leading to fundamental advances in plant and animal genomics (e.g. genome annotation, characterization of macromolecular sequence-structure-function relationships, discovery and modeling of genetic interactions in development, aging, and disease), critical infrastructure (e.g. power systems) monitoring and protection.  Additional collaborative projects are underway in Security Informatics, Medical Informatics, and Materials Informatics, as part of the center’s e-science initiative.

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