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Talks & Seminars
Computational Approaches for Spatio-temporal Data Driven Modeling and Visualization
Dr. Budhendra L. Bhaduri, Geographic Information Science & Technology Group, Oak Ridge National Laboratory
Date & Time: February 29, 2012 11:30
Venue: Conference Room, 01st Floor, C Block, Dept. of Computer Science & Engg., Kanwal Rekhi Bldg.
Abstract:
Understanding change through visualization of landscape processes often provide the most effective tool for decision support. Current geoanalytics are limited in dealing with temporal dynamics that describe observed and/or predicted behaviors of entities i.e. physical and socioeconomic processes. End point based temporal analysis can capture events signified by broad changes in observable earth features; but are inadequate for revealing temporal characteristics of the processes as defined by the onset, frequency, and rate of changes in the features. Analysis of disparate and dynamic geographic data provides an effective component of an information extraction framework for multi-level reasoning, query, and extraction of geospatial-temporal features. With increasing temporal resolution of geographic data, there is a compelling motivation to couple the powerful modeling and analytical capability of a GIS to perform spatial-temporal analysis and visualization on dynamic data streams. However, the challenge in processing large volumes of high resolution earth observation and simulation data by traditional GIS has been compounded by the drive towards real-time applications and decision support. Based on our experience of providing scientific and programmatic support for federal agencies, we discuss progress and challenges of some of the emerging computational approaches, including algorithms and high performance computing, illustrated with population dynamics, sustainable energy and mobility, and climate change science. These examples provide an insight into the potential power and possibilities of spatio-temporal analysis and visualization for operational and policy decision support across numerous disciplinary issues.
Speaker Profile:
Dr. Budhendra Bhaduri is a Corporate Research Fellow at Oak Ridge National Laboratory (ORNL) and leads the Geographic Information Science and Technology (GIST) group within the Computing and Computational Sciences directorate. He is a founding member of the U.S. Department of Energy’s Geospatial Sciences Steering Committee. His primary responsibilities include conceiving, designing, and implementing innovative geocomputational methods and algorithms to solve a wide variety of national and global problems involving population dynamics modeling, natural resource studies, transportation modeling, critical infrastructure protection, and disaster management. Dr. Bhaduri is a principal member of the LandScan Global and LandScan USA population modeling programs at ORNL, which, in 2006, won a prestigious R&D 100 award as one of the top 100 global technologies serving society. In addition to his contributions in human settlement studies, he has extensive experience in novel implementation of geospatial science and technology in other areas: sustainable development research, including human dimensions of critical infrastructure, urbanization and watershed impacts, and energy resource analysis. He has served on numerous national and international forums. He is currently a member of Science Dean’s Leadership Council at Purdue University, the Transportation Research Board’s Committee on Geographic Information Science & Applications, and Strategic Highway Research Program (SHRP 2) Expert Task Group on Acquisition of Roadway Information. He has published extensively in a number of leading scientific journals. Recently he served as a guest editor for two special issues of Springerâs GeoJournal dedicated towards “The Geography of Global Population Dynamics”. Dr. Bhaduri is actively involved with academic institutions for scientific collaborations and student engagement for research in geospatial science. He is a recipient of the Department of Energy’s Outstanding Mentor Award for his dedicated service to the department for developing future workforce for the nation.
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