Data platforms and analytics
Advancing data systems and analytics that enable scalable insights, intelligent applications, and scientific discovery.
Enabling Real-Time Business-Metadata Extraction
Real-time business information, such as current occupancy level and music loudness, can be invaluable to mobile users planning an outing. Crowdsourcing, via real-user check-ins, can gather such information to be displayed in search or to…
On the (In)security of Fischlin’s Paradigm
Human-Powered Data Management
Fully automated algorithms are inadequate for a number of data analysis tasks, especially those involving images, video, or text. Thus, there is a need to combine “human computation” (or crowdsourcing), together with traditional computation, in…
SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service
Multi-tenancy and resource sharing are essential to make a Database-as-a-Service (DaaS). However, resource sharing usually results in the performance of one tenant’s workload to be affected by other co-located tenants. In the SQLVM project, our…
Web Data Extraction and Search
The goal of this project is to extract structured data on the web (like html tables, lists, spreadsheets etc.) and make it accessible/searchable on Bing and Office 365. Some of the technical challenges: Table classification and…