Basser Seminar Series


Speaker: Professor Pankaj K. Agarwal
Duke University

Time: Friday 25 February 2011, 4:00-5:00pm
Refreshments will be available from 3:30pm

Location: The University of Sydney, School of IT Building, Lecture Theatre (Room 123), Level 1

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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 developing efficient algorithms for terrain modeling and analysis that work with massive data sets. It will focus on a memory-aware algorithm for computing contour maps and river networks of a terrain that is too large to fit in main memory.

Speaker's biography

After earning his PhD in Computer Science from the Courant Institute of Mathematical Sciences at New York University, Dr. Agarwal joined Duke University in 1989 where he is now the RJR Nabisco Professor of Computer Science. He was the Department Chair from 2004 to 2010. He also has an appointment in the Department of Mathematics.

His research interests include geometric computing, spatial databases, ecological modeling, geographic information systems, sensor networks, computational molecular biology, and robotics. A Sloan Fellow, an ACM Fellow, and a National Young Investigator, he has authored four books and more than three hundred research articles. He serves on the editorial boards of a number of journals and on the advisory boards of several institutes and centers.