Algorithms
Developing efficient algorithms that power faster, smarter, and more reliable computing across diverse applications.
Divide-and-Conquer and Statistical Inference for Big Data
Divide-and-conquer is a natural computational paradigm for approaching Big Data problems, particularly given recent developments in distributed and parallel computing, but some interesting challenges arise when applying divide-and-conquer algorithms to statistical inference problems. One interesting…
New Directions in Computer Science
Computer science is undergoing a fundamental change. Over the last 40 years the field was concerned with making computers useful. Focus was on programming languages, compilers, operating systems, data structures and algorithms. These are still…
Big Data Analytics
Note: This project has reached its conclusion. These pages are maintained for reference and archival purposes. We conduct research in the area of algorithms and systems for processing massive amounts of data. Our work aims…