Kevin has been at ORNL since August 2015. He works on research to advance our understanding of complex temporal patterns of places around the world - investigating how these temporal patterns are created, disrupted, and evolve, and how they influence the social and physical aspects of places. Prior to joining the Location Intelligence group, Kevin was a graduate research assistant at Penn State where he worked on crowdsourcing techniques and machine learning techniques to improve land cover datasets. He also worked as an intern at NASA’s Langley Research Center developing hyperspectral indices for agricultural crop monitoring.
Education: (2015) MS, Geographic Information Science, The Pennsylvania State University, (2013) BS, Geographic Information Science, The Pennsylvania State University