Rafael Ballester

Rafael Ballester

Postdoc/Oberassistent - BIN 2.C.05

Phone: +41 44 635 43 67



Research Interest

My PhD project focuses on interactive visualization and exploration of complex and/or large-scale multidimensional data sets, e.g. micro-computed/synchrotron tomography, parameter spaces, surrogate models, etc. A fundamental tool in my research is compression and feature extraction by means of tensor approximation. The goal is to develop algorithms for compression, feature extraction and processing in the tensor compressed format such as the Tucker decomposition or the tensor train (TT). Related techniques include 3D/4D multiresolution representations, progressive tensor rank reconstruction and out-of-core memory management.

More details on the data visualization and exploration projects: