Interests: Parallel architectures and systems; distributed systems; operating systems.
Member, National Academy of Engineering, 2012; ACM SIGOPS Hall of Fame, 2012; IEEE Fellow, 2011; ACM Fellow, 1998.
Active Research Projects:
- CASS: Content-Aware Search System
- FCMA: Full Correlation Matrix Analysis of Human Brains
- SEEK: Search Engine for Heterogeneous Human Gene-Expression Compendia
Kai Li, the Paul M. Wythes and Marcia R. Wythes Professor in Computer Science, earned a doctorate from Yale in 1986 and joined Princeton the same year. His research interests involve distributed and parallel systems, operating systems, storage systems, and content-based search of feature-rich data. In 2001, he co-founded Data Domain Inc., a provider of deduplication storage systems for efficient backup and data replication for disaster recovery. The company was acquired by EMC Corp. in 2009. Professor Li is an ACM fellow, IEEE fellow, a member of the National Academy of Engineering and the Washington State Academy of Sciences. In 2012, he won the ACM SIGOPS Hall of Fame Award and the Distinguished Achievement Award from the Chinese Institute of Engineers.
- “Search and Replication in Unstructured Peer-to-Peer Networks.” Qin Lv, Pei Cao, Edith Cohen, Kai Li, and Scott Shenker. Proceedings of the ACM 16th International Conference on Supercomputing, June 2002.
- “Memory Coherence in Shared Virtual Memory Systems.” Kai Li and Paul Hudak. ACM Transactions on Computer Systems, November 1989.
- “ImageNet: A Large-Scale Hierarchical Image Database.” J. Deng, W. Dong, R. Socher. L.-J. Li, K. Li and L. Fei-Fei. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2009.