-------- Original Message --------
Subject: Distinguish Lecture Series: Understanding Climate Change:
Opportunities and Challenges for Data Driven Research- Dr. Kumar
Date: Tue, 22 Oct 2013 11:30:39 -0400
From: Nooshi Mohebi <[log in to unmask]>
To: [log in to unmask]
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*Understanding Climate Change: Opportunities and Challenges for Data Driven Research*
Date:*Wednesday, October 23, 2013*
Time:*11:00 AM - 12:00*
Venue:*Research Hall 163*
Speaker:*Dr. Vipin Kumar*
Talk Abstract:
Climate change is the defining environmental challenge facing our
planet, yet there is considerable uncertainty regarding the social and
environmental impact due to the limited capabilities of existing
physics-based models of the Earth system. 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 climate change. This talk
will discuss some of the challenges in analyzing such data sets and our
early research results.
Short Biography:
Vipin Kumar is currently William Norris Professor and Head of Computer
Science and Engineering at the University of Minnesota. His research
interests include High Performance computing and data mining, and he is
currently leading an NSF Expedition project on understanding climate
change using data driven approaches. He has authored over 250 research
articles, and co-edited or coauthored 10 books including the widely used
text book ``Introduction to Parallel Computing", and "Introduction to
Data Mining" both published by Addison-Wesley. 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). Kumar is
a Fellow of the AAAS, ACM and IEEE. He received the 2009 Distinguished
Alumnus Award from the Computer Science Department, University of
Maryland College Park, and 2005 IEEE Computer Society's Technical
Achievement Award for his contributions to the design and analysis of
parallel algorithms, graph-partitioning, and data mining. 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).
Nooshi Mohebi
MSN- 4A5
4400 University Dr
Fairfax, VA 22030
703-993-1585
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