eads «at» cs·ucsc·edu
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.
|Mar 25, 2007||Carlos Maltzahn, Nikhil Bobb, Mark W. Storer, Damian Eads, Scott A. Brandt, Ethan L. Miller, 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, Storage Class Memories]|
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