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Students

Ian Adams

Ian Adams is a third year grad student who joined the SSRC in the summer of 2008. He is currently researching techniques and heuristics for efficient growth and maintenance of large scale archival storage systems.

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Deepavali Bhagwat

Deepavali Bhagwat is a PhD candidate working with Prof. Darrell Long in the Archival Storage project. Her research focuses on scalability issues with respect to data de-duplication, indexing and retrieval for archival and backup storage systems. She is also interesting in developing solutions that apply the right level of redundancy to de-duplicated data for high availability. Along with her advisor she also works with researchers at Hewlett Packard Laboratories, Palo Alto.

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Neerja Bhatnagar

Neerja Bhatnagar is a Ph.D. candidate working with Prof. Ethan L. Miller on investigating energy-security/reliability trade-offs in storage-based sensor networks. Neerja's research interests are computer security, reliability, and sensor networks.

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D.J. Capelis

D.J. Capelis spends his time at the SSRC as part of the WASP doing security research. His latest research areas include building trusted platforms that aren't evil, looking for the next hot thing among old ideas and inducing a bit of caution in people who think virtualization is going to save the world. He is inspired by the time in computing when XML was a scary dream, SPRITE would transparently migrate your processes between machines and real programmers had an inexplicable hatred for quiche.

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Damian Eads

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.

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Karen Glocer

Karen Glocer is a Ph.D. student in Computer Science doing thesis research at Los Alamos National Laboratory.

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Keren Jin

Keren Jin joined the SSRC in 2008. His interests involve data deduplication and virtual machines. He is working on applications of virtual machine deduplication with Prof. Miller.

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Stephanie Jones

Stephanie Jones is a third year Ph.D. student currently working with Prof. Long on data de-duplication. She has done previous work on view-based file systems and security in petabyte scale storage systems. Her research interests are file systems, computer security, and data reliability.

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Yangwook Kang

Yangwook Kang is a Ph.D. student working on storage reliability with Prof. Ethan Miller. His research interests include storage, file systems for NVRAM and data reliability.

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Amandeep Khurana

Amandeep Khurana is a second year graduate student in the SSRC. He's also a part of the NMO Lab in collaboration with Cisco Systems. He's been working on developing a scalable backend framework for multi data source (structured and unstructured) coalescing.

His research interests are in scalable structured storage systems, meta data indexing, large scale graph computations.

He's also been dabbling with the Hadoop and HBase open source frameworks.

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Jonathan Koren

Jonathan Koren is a PhD student working with Dr. Yi Zhang on the Scalable Metadata Management project. His research interests include faceted search, context-aware computing and adaptive interfaces, content and collaborative filtering, personalization, and machine learning.

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Jeff LeFevre

Jeff LeFevre is a first year PhD student at the SSRC working with Professor Darrell Long. He is broadly interested in systems, storage, and data encoding. He has spent summer 2007 and 2008 at Google and previous summers at Teradata working on storage characterization, performance analysis, and virtualization. His current work is on improving disk array performance and reliability.

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Andrew Leung

Andrew Leung is a 5th year PhD student working on search and indexing in storage systems with Prof. Ethan Miller. His current focus is on design and integration of scalable, distributed indices for file and storage systems. Andrew has also worked on the Ceph file system, particularly aspects regarding security and cluster design, as well as, file system tracing and benchmarking.

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Alex Nelson

Alex Nelson has been a graduate student and member of the SSRC since Fall of 2008. His interests include archival storage, computer security, long-term data management, and secure and shared storage.

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Aleatha Parker-Wood

Aleatha Parker-Wood is a second year year Ph.D. student studying information retrieval under Professor Ethan Miller. She graduated from UC Santa Cruz in 2008 with a B.S. in Computer Science. Her research interests include information retrieval, natural language processing, and search personalization.

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Daniel Rosenthal

Daniel Rosenthal is a first year Ph.D. student. His research interests include large scale search and NVRAM storage systems. He graduated from Florida State University in May 2009 with a B.S. in Computer Science and a B.S. in Mathematics.

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Christina Strong

Christina Strong is a fourth year Ph.D. student currently working with Professor Long. She recently completed a Master's degree in automated dialogue generation. Her research interests are information storage and retrieval (specifically in large scale file systems) and computer security.

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Avani Wildani

Avani Wildani is a third year PhD student working with Prof. Ethan Miller. Her research interests include reliability, reputation systems, computer security, and peer-to-peer networks.

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Jingpei Yang

Jingpei Yang is working with Prof. Miller on file systems for storage-class memories. She joined the SSRC after spending several years in the graduate program at the University of Cincinnati.

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Former Students

Tim Kaldewey

Tim Kaldewey joined the SSRC in 2005 and worked with Prof. Scott Brandt. His research interests include real-time systems, storage QoS, storage performance management, and parallel systems.

 

Anna Povzner

Anna Povzner worked on performance management in storage systems with Prof. Scott Brandt. She did previous work on supporting soft real-time processing in an integrated real-time CPU scheduler. Her research was on resource management algorithms for providing guaranteed performance to mixed workloads executing concurrently in a shared storage system and on virtualizing disk performance.

 

Last modified 13 Nov 2009
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