Faculty

	Shivnath Babu Data Management for new application domains, e.g., Hadoop ecosystem Architectures and algorithms for self-managing database systems
	Ashwin Machanavajjhala Privacy in statistical databases Privacy in augmented reality systems Systems for massive data analytics
	Sudeepa Roy Explanations/Causality in databases Data provenance Probabilistic databases Crowd-sourcing
	Jun Yang Computational journalism Statistical analysis in cloud Perturbation analysis of database queries

PhD Students

See us at SIGMOD 2017! Papers

Brett Walenz, Sudeepa Roy, Jun Yang. Optimizing Iceberg Queries with Complex Joins, In SIGMOD 2017.
Ios Kotsogiannis, Ashwin Machanavajjhala, Gerome Miklau and Michael Hay . Pythia: Data Dependent Differentially Private Algorithm Selection
Mayuresh Kunjir, Brandon Fain, Kamesh Munagala, and Shivnath Babu. ROBUS: Fair Cache Allocation for Data-parallel Workloads.
Samuel Haney, Ashwin Machanavajjhala, John Abowd , Matthew Graham, Mark Kutzbach and Lars Vihuber. Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics.

Tutorials

Data Management in Machine Learning: Challenges, Techniques, and Systems (Jun Yang)
Differential Privacy in the Wild: A tutorial on current practices & open challenges (Ashwin Machanavajjhala, Xi He)