Steven Minton (Biography)

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Dr. Steven Minton graduated  from Yale in 1980 and received his Ph.D. in Computer Science from Carnegie Mellon University in 1988.  After graduating from CMU, he became a Principal Investigator at NASA’s Ames Research Center, and subsequently a Research Associate Professor at the University of Southern California’s Information Sciences Institute. His academic experience also includes designing and teaching the machine learning course at Stanford for the first two years it was offered.

Minton co-founded Fetch Technologies in 2000, with Craig Knoblock and Yigal Arens.  Fetch Technologies grew to over 50 employees, and was acquired by Connotate in 2011.    Fetch commercialized technology for data extraction from Web sources,  and its customers included some of the country's largest enterprises, as well as government agencies.  Fetch also launched GeoSemble Technologies, a spin off company that was acquired by TerraGo.

Minton founded InferLink Corporation in 2011, and he currently serves as its President.  InferLInk develops and commercializes AI technologies, and has spun off Cytenna and Innotrieve.

In addition to his work in industry, Minton has been active in the nonprofit world. In 1993 he founded a 501(c)(3) corporation, AI Access Foundation, which launched one of the first open access journals on the Web, the Journal of Artificial Intelligence Research (JAIR).  For many years JAIR has been ranked by CiteSeer as one of the highest-impact journals in Computer Science. Minton was JAIR’s first Executive Editor, and he continues to serve as Managing Editor, and as the Executive Director of AI Access Foundation, JAIR’s publisher.  Minton is also currently a member of the advisory board of the Journal of Machine Learning Research (JMLR) and the advisory board of the Computing Research Repository (associated with arXiv.org).

MInton's AI research has focused on machine learning, data extraction, information integration, planning and constrained optimization.  He has been recognized internationally for his contributions to Artificial Intelligence, and in 1998 was selected to be a fellow of the Association for the Advancement of Artificial Intelligence (AAAI). He was presented with AAAI’s 2012 Englemore award for his contributions to AI research and applications, and leadership in the field. His previous awards include the 2008 AAAI Classic Paper award and the 1988 Best Paper award at the National AI conference.