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Lily Mummert

lily dot b dot mummert at intel dot com

4720 Forbes Ave. Suite 410
Pittsburgh, PA 15213
(412) 297-4100
(412) 297-4110 (fax)

Biography

Lily Mummert is a Research Scientist at Intel Research Pittsburgh working in the area of distributed systems. Before joining Intel in 2006, she was a Research Staff Member at IBM TJ Watson Research Center, where she worked on problems in enterprise system management and contributed to several products. She earned a Ph.D. in Computer Science from Carnegie Mellon University in 1996. Her current research is focused on systems issues in high performance computational perception, enabling interactive applications that process data from heterogeneous, potentially high data rate sensors such as video and audio. She spends most of her time on the Everyday Sensing and Perception project. Previous projects include ISADS, for which she served as co-PI, and Diamond.

Current Projects

Recent Publications

L. Yang, R. Jin, L. Mummert, R. Sukthankar, A. Goode, B. Zheng, M. Satyanarayanan. A Boosting Framework for Visuality-Preserving Distance Metric Learning and Its Application to Medical Image Retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence, to appear.

J. Campbell, L. Mummert, R. Sukthankar. Video Monitoring of Honey Bee Colonies at the Hive Entrance. ICPR 2008 Workshop on Visual Observation and Analysis of Animal and Insect Behavior, to appear.

A. Goode, R. Sukthankar, L. Mummert, M. Chen, J. Saltzman, D. Ross, S. Szymanski, A. Tarachandani, M. Satyanarayanan. Distributed Online Anomaly Detection in High-Content Screening. IEEE International Symposium on Biomedical Imaging (ISBI), May 2008.

S.C. Park, R. Sukthankar, L. Mummert, M. Satyanarayanan, B. Zheng. Optimization of reference library used in content-based medical image retrieval scheme, Medical Physics 2007; 34(11):4331-4339.

A. Goode, M. Chen, A. Tarachandani, L. Mummert, R. Sukthankar, C. Helfrich, A. Stefanni, L. Fix, J. Saltzman, M. Satyanarayanan. Interactive Search of Adipocytes in Large Collections of Digital Cellular Images. Proceedings of the International Conference on Multimedia and Expo (ICME) 2007.

L. Yang, R. Jin, R. Sukthankar, B. Zheng, L. Mummert, M. Satyanarayanan, M. Chen, D. Jukic. Learning Distance Metrics for Interactive Search-Assisted Diagnosis of Mammograms. Proceedings of SPIE Medical Imaging, February 2007.

More publications can be found here