Current
![]() | Cumulon Simplifying the development and deployment of statistical analysis programs in the cloud with automatic optimization and provisioning. |
![]() | Computational Journalism Leverage computing to help preserving public interest journalism. |
![]() | Proteus A Practical and Rigorous Toolkit for Privacy |
![]() | Privacy & Small Devices Private systems for small devices |
![]() | Re[DP] Realistic Data Mining Under Differential Privacy |
![]() | FIREFly Formal Interactive Rich Explanations on the Fly for database queries |
![]() | Thoth Towards Managing a Multi-System Cluster |
Concluded
- RIOT: transparently bringing scalability and I/O-efficiency to statistical computing with R; i.e., no need to rewrite your R code! 2009-2014.
- DDDAS: dynamic data-driven environmental sensor network in Duke Forest (collaboration with Duke School of the Environment). 2006-2012.
- ProSem: Internet-scale publish/subscribe unifying data processing and dissemination. 2007-2011.
- ERS: tracking and exploring lineage in experimental and computational workflows for biomedical research (collaboration with Duke Center for Computational Immunology). 2005-2011.
- DDM: techniques and applications of maintaining various forms of derived data (e.g., caches, replicas, indexes, materialized views, synopses). 2001-2008.