Cloud Computing in Ocean and Atmospheric Sciences (ePub)

Professor of Geographic Information Science at George Mason University, where he founded the joint Center for Intelligent Spatial Computing and led the establishment of the NSF Spatiotemporal Innovation Center. His research focuses on utilizing spatiotemporal principles to optimize computing infrastructure to support science discoveries and engineering development. He acted as the NASA Goddard cloud computing chief architect. He is a leader of GIScience computing by proposing several research frontiers including distributed geographic information processing, geospatial cyberinfrastructure, and spatial computing. These research directions are further consolidated through his research, publications, and workforce training activities. He has received over $10M research funding for advancing these directions. He has published over 100 papers, edited three books and eight special issues for international journals. His spatial cloud computing paper published with International Journal of Digital Earth was one of the most cited articles and his book spatial cloud computing: a practical approach is used as text for graduate students in geography and computer science departments. He has placed six faculty members in the U.S. and over ten in other countries.

May Yuan received all her degrees in Geography: B.S. 1987 from National Taiwan University and M.S. 1992 and Ph.D. 1994 from State University of New York at Buffalo. She is Ashbel Smith Professor of Geospatial Information Sciences in the School of Economic, Political, and Policy Sciences at the University of Texas at Dallas. Before she joined UT-Dallas in August 2014, she was Brandt Professor and Edith Kinney Gaylord Presidential Professor and Director of Center for Spatial Analysis at the University of Oklahoma (1994-2014). Her research interest expands upon temporal GIS and its applications to understanding geographic dynamics, including weather and climate. Over the years, she has been working to develop new approaches to represent geographic processes and events in GIS databases to support space-time query, analytics and knowledge discovery and promote cyber- and cloud-based GIS solutions for environmental, ecological, and social applications.