Seminars & Events
Mathematics and Computer Science Division
"Graph-based Forecasting of Adverse Spatio-Temporal Climate Extremes"
DATE: August 10, 2012
TIME: 10:30 AM - 11:30 AM
SPEAKER: Dr. Nagiza F. Samatova , Associate Professor -North Carolina State University and (please see \"Bio\" below)
LOCATION: Building 240, Conference Room 4301, Argonne National Laboratory
HOST: Dries Kimpe
Description:
Understanding extreme events, such as hurricanes or forest fires, is of paramount importance because of their adverse impacts on human beings. Such events often propagate in space and time. Predicting—even a few days in advance—what locations will get affected by the event tracks and/or at what seasonal intensity these events are anticipated at those regions could benefit our society in many ways. Arguably, simulations from first principles, where underlying physics-based models are described by a system of equations, provide least reliable predictions for variables characterizing the dynamics of these extreme events. Data-driven model building has been recently emerging as a complementary approach that could learn the relationships between historically observed or simulated multiple, spatio-temporal ancillary variables and the dynamic behavior of extreme events of interest. While promising, the methodology for predictive learning from such complex data is still in its infancy. I will present a suit of dynamic graph-based methodologies for in-advance prediction of the dynamic tracks of emerging extreme events, for quantifying seasonal hurricane activity in North America, and for assessing rainfall activity in the Western Africa. These methods offer a superior predictive skill compared to any other methodology currently available in literature.
Bio:
Dr. Nagiza F. Samatova is an Associate Professor in Computer Science Department of North Carolina State University and a Senior Research Scientist in Computer Science and Mathematics Division of Oak Ridge National Laboratory. She received the B.S. degree in applied mathematics from Tashkent State University, Uzbekistan, in 1991 and her Ph.D. degree in mathematics from the Computing Center of Russian Academy of Sciences (CCAS), Moscow, in 1993. She also obtained an M.S. degree in Computer Science in 1998 from the University of Tennessee, Knoxville, USA. Dr. Samatova specializes in Graph Theory and Algorithms, High Performance Data Analytics, Bioinformatics, Systems Biology, Data Management, Scientific and High Performance Computing, and Machine Learning. She is the author of over 150 publications in peer-reviewed journals and conference proceedings.
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