eads «at» cs·ucsc·edu
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Damian Eads
Damian Eads completed his PhD in Computer Science in 2011 under Professor David Helmbold. For his PhD, he investigated new boosting algorithms for object detection as well as new approaches for time series classification. In 2006, he worked with Professor Ethan Miller on using machine learning to predict workloads for hierarchical, multi-tiered storage systems.
Publications
| Date | Publication | |
|---|---|---|
| Mar 25, 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. [Storage Class Memories] [Scalable File System Indexing] |
|
| Jan 1, 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] |
Click here for a list of recent collaborators.
Last modified May 22 2019