Rui Pires da Silva Castro

Rui Pires da Silva Castro is an Assistant Professor in the Department of Mathematics and Computer Science at the Mathematics Department at Eindhoven University of Technology, (TU/e). His research interests are on the borderline of signal processing, learning theory and statistics, including learning theory, non-parametric and high-dimensional statistics, statistical signal and image processing, network inference, and pattern recognition.

Rui is also interested in active learning techniques, also known as sequential experimental design. These include learning/sampling procedures that are able to use information gleaned from previous samples to adapt the sampling procedure. Applications include, among others, network monitoring and measurement and effective spectrum analysis methods for opportunistic transmission in cognitive radio.  Previously, Rui worked on Distilled Sensing (DS), a multi-step, selective (adaptive) sampling procedure for recovering sparse signals from noisy observations. DS results in dramatic quantifiable improvements over the best non-adaptive sensing methods for the estimation and detection of sparse signals in noise.