Damian Eads is a Ph.D. student studying the application of machine learning to tackle remote sensing, imagery, time series, and systems problems. He collaborates with Professor Ethan Miller on the use of machine learning for storage problems. As a Staff Research Assistant for the ISR Division at the Los Alamos National Laboratory, he develops data analysis algorithms for remote sensing data under the direction of Dr. James Theiler. He graduated from the Rochester Institute of Technology with a B.S. in Computer Science in 2004 (w/ High Honors), and minored in Mathematics and Psychology.

Publications

2007

• Carlos Maltzahn, Nikhil Bobb, Mark W. Storer, Damian Eads, Scott A. Brandt, Ethan L. Miller, Graffiti: A Framework for Testing Collaborative Distributed Metadata, Proceedings in Informatics 21, March 2007, pages 97–111. [Scalable Metadata Management] [Storage Class Memories]

2006

• Nikhil Bobb, Damian Eads, Mark W. Storer, Scott A. Brandt, Carlos Maltzahn, Ethan L. Miller, Graffiti: A framework for testing collaborative distributed metadata, Proceedings of the 7th International Workshop on Distributed Data and Structures (WDAS 2006), January 2006. [Storage Class Memories]