I’m pursuing my PhD degree in electrical engineering from Imperial College London under supervision of prof. Danilo Mandic. My research is focused on machine learning approaches for inherently N-dimensional arrays (tensors) with applications to biomedical and financial data.
Python toolbox for tensor decompositions, statistical analysis, visualisation, feature extraction, regression and non-linear classification of multi-dimensional data.
Introduction into efficient representation of multi-dimensional data, fundamental tensor decompositions with theoretical background.
Workshop suitable for the multidisciplinary machine learning and data analytic communities, together with offering the attendees an enhanced experience and a hands-on insight into immediate practical aspects and impact of the tensor technology
November 2018
Tensor Ensemble Learning for Multidimensional Data
Anaheim, California, USA
September 2018
Feature Fusion via Tensor Network Summation
Rome, Italy
April 2018
Tensor Valued Common and Individual Feature Extraction: Multidimensional Perspective
Calgary, Alberta, Canada