Imperial College London


Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Research Postgraduate



i.kisil15 Website




805bElectrical EngineeringSouth Kensington Campus






I am a PhD student at Imperial College London. Interested in machine learning approaches to inherently N-dimensional arrays (tensors) with applications to biomedical and financial data.

Ongoing Projects

HOTTBOX: Higher Order Tensors ToolBOX. Open source toolbox for tensor decompositions, statistical analysis, visualisation, feature extraction, regression and non-linear classification of multi-dimensional data.

Source code on GitHub.

Interactive tutorials on mybinder.

Recent Publications

  • I. Kisil, A. Moniri, D. P. Mandic, "Tensor ensemble learning for multidimensional data," In Proceedings of the 6th IEEE Global Conference on Signal and Information Processing (GlobalSIP), p. TBA, 2018.
  • I. Kisil, G. G. Calvi, A. Cichocki, and D. P. Mandic, “Common and individual feature extraction using tensor decompositions: A remedy for the curse of dimensionality?,” In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 6299–6303, 2018.
  • G. G. Calvi, I. Kisil, and D. P. Mandic, “Feature fusion via tensor network summation,” In Proceedings of the 26th European Signal Processing Conference (EUSIPCO), p. TBA, 2018.