Rafael Ballester

Rafael Ballester

Research Assistant/PhD Student - BIN 2.C.03

Phone: +41 44 635 71 36



Research Interest

My PhD project focuses on interactive visualization and exploration of large-scale multidimensional data sets (e.g. micro-computed or synchrotron tomography). A fundamental tool in my research is compression and feature extraction by means of tensor approximation (TA). The goal is namely to develop algorithms for large data manipulation and analysis in the TA compressed format, such as the canonical format, the Tucker decomposition or the Tensor Train. Related techniques are 3D/4D multiresolution representations, progressive tensor rank reconstruction and out-of-core memory management.

More details on the data visualization and exploration projects: