Lucien Koefoed

Lucien Koefoed is a PhD student at KEDRI under the supervsion of Prof. Nikola Kasabov and Associate Prof. Wei Qi Yan. His topic of study is 'Novel Neurocomputing Architectures for Spatio-Temporal Information Processing'. He is currently working on evaluating temporal feature selection methods and how useful information can be extracted from spiking neural networks.

External Links:

Qualifications:

  • BE(Hons) Mechatronics Engineering - The University of Auckland

Research Areas:

  • Spiking Neural Networks
  • Artificial Neuron Models
  • Evolving Neural Networks
  • Temporal Feature Selection

Publications:

Conference

Koefoed, L., Capecci, E. and Kasabov, N. (2018, July). Time Series Analysis of rVSV-ZEBOV trial data using TMRMR-C and NeuCube. 2018 International Joint Conference on Neural Networks (IJCNN). Rio De Janeiro, Brazil, 8-13 July (accepted). IEEE

Prize or Scholarships:

KEDRI Scholarship, Auckland University of Technology