Speaker: Vipin Kumar
Regents Professor & William Norris Endowed Chair In Large Scale Computing
Department of Computer Science & Engineering
University of Minnesota
Title: Understanding Global Change: Opportunities and Challenges for Data Driven Research
This talk will present an overview of research being done in a large interdisciplinary project on the development of novel data driven approaches that take advantage of the wealth of climate and ecosystem data now available from satellite and ground-based sensors, the observational record for atmospheric, oceanic, and terrestrial processes, and physics-based climate model simulations. These information-rich datasets offer huge potential for monitoring, understanding, and predicting the behavior of the Earth's ecosystem and for advancing the science of global change. This talk will discuss some of the challenges in analyzing such data sets and our early
Vipin Kumar is a Regents Professor at the University of Minnesota, where he holds the William Norris Endowed Chair in the Department of Computer Science and Engineering. Dr. Kumar's research interests include data mining, high-performance computing, and their applications in Climate/Ecosystems and Biomedical domains. He has authored over 300 research articles, and has coedited or coauthored 11 books including widely used text books ``Introduction to Data Mining'' and ``Introduction to Parallel Computing''. Dr. Kumar co-founded SIAM International Conference on Data Mining and served as a founding co-editor-in-chief of Journal of Statistical Analysis and Data Mining (an official journal of the American Statistical Association). Dr. Kumar is a Fellow of the ACM, IEEE and AAAS. Kumar's foundational research in data mining and its applications to scientific data was honored by the ACM SIGKDD 2012 Innovation Award, which is the highest award for technical excellence in the field of Knowledge Discovery and Data Mining (KDD).
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This lecture is open to the public. Space is limited and there is no registration; coming early is strongly recommended.