Clyde Lee GilesProfessor

His current research and research group interests are in intelligent information processing systems such as:
Intelligent AI cyberinfrastructure and portals with a special interest in computer and information science, chemistry, materials science, economics, medicine, biology and archaeology.
Deep learning with grammars, automata, and rules.
Novel web tools, search engines, scientometrics, web search and measurement.
Scholarly big data: large scale knowledge and information management and extraction, information retrieval, entity disambiguation and record linking, metadata extraction, text and data mining, machine learning, digital libraries and web databases, web services and social networks.
Automated extraction, mining and integration of data and text and tools for Science of Science and Team Science and learning at scale.
Novel applications and architectures of intelligent information systems and artificial intelligence for big data.
Business and economic models for artificial intelligence, search and search engines.