Graphs & Networks

Massive non-Euclidean data sets arise ubiquitously in a variety of scientific settings, either naturally in a geometry-free way as relational data amongst entities, or as a result of modern, graph-based, locally linear embeddings designed to achieve dimensionality reduction. In turn, inference for graphs and networks represents a critical growth area for twenty-first century data analysis. Work at SISL touches on random matrix theory, high-dimensional covariance estimation, spectral methods, and statistical inference for network-valued data sets. Work sponsored by the Defense Advanced Research Projects Agency (DARPA) and the National Science Foundation (NSF).

Image Processing

Activities in contemporary digital imaging span a number of areas, from algorithms for digital consumer cameras to biomedical data analysis. Work sponsored by Sony Electronics, Inc., the National Institutes of Health (NIH), and the National Science Foundation (NSF).

Speech & Audio

Various speech and audio signal processing domains, including audio forensics, restoration, and robust speech processing. Work sponsored by the Defense Advanced Research Projects Agency (DARPA), the Department of Defense (DOD), and the National Science Foundation (NSF).