Department of Computer Science and Engineering

Distinguished Guest Lecturer

Button STREAM: Scalable Techniques for High-Resolution Elevation Analysis and Modeling

Pankaj Kumar Agarwal
Department of Computer Science
Duke University

Nov 12 2009 3:30PM
480 Dreese Labs
All interested parties are welcome to attend.
Refreshments will be available in the presentation

Abstract:

With recent advances in terrain-mapping technologies such as Laser altimetry (LIDAR) and ground based laser scanning, millions of georeferenced points can be acquired within short periods of time. However, while acquiring and georeferencing the data has become extremely efficient, transforming the resulting massive amounts of heterogeneous data to useful information for different types of users and applications is lagging behind, in large part because of the scarcity of robust, efficient algorithms for terrain modeling and analysis that can handle massive data sets acquired by different technologies and that can rapidly detect and predict changes in the model as the new data is acquired.

This talk will review our on-going work on efficient algorithms for terrain modeling and analysis that work with massive data sets, with an emphasis on approximation and memory-aware algorithms.A few open questions will also be discussed.

Bio:
Dr. Pankaj Agarwal is the Department Chair and RJR Nabisco Professor of Computer Science at Duke University. His research interests are wide including computational & discrete geometry, shape analysis, GIS and ecologic modeling, spatial databases, sensor networks, and computational biology. He received his academic degrees from the Courant Institute (Ph.D., Computer Science, 1989), University of California Santa Barbara (M.S., Computer Science, 1986) and University of Roorkee (B.E. Electronics and Communication, 1982).

Host: Yusu Wang

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