• 576 Citations
  • 12 h-Index
20142020

Research output per year

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Personal profile

Biography

Professor Nikola Kasabov is Fellow of IEEE, Fellow of the Royal Society of New Zealand, Fellow of the INNS College of Fellows, Fellow of the NZ Institute of IT Professionals NZ, Distinguished Fellow of the Royal Academy of Engineering and the Scottish Computer Society, UK. He is the Founding Director of the KEDRI Institute and Professor at Auckland University of Technology (AUT) and also George Moore Professor of Data Analytics of  Ulster University UK.  

    Kasabov is a Past  President of the Asia Pacific Neural Network Society (APNNS) and the  International Neural Network Society (INNS). He is an Editor of the Springer Series of Bio/Neurosystems,  Co-Editor-in-Chief of the Springer journal Evolving Systems and serves as Associate Editor of Neural Networks, IEEE Transactions of CDS, Information Sciences, Applied Soft Computing and other journals.

Kasabov holds MSc and PhD from the TU Sofia, Bulgaria. His main research interests are in the areas of neural networks, computational intelligence, artificial intelligence, soft computing, bioinformatics, neuroinformatics. Prof. Kasabov has originated several groundbreaking theores and methods,  such as: evolving connectionits systems; hybrid evolving neuro-fuzzy systems; evolving spiking neural netrowks; brain-like spatio-temporal machine NeuCube; quantum inspired evolutionary computaion; methods for brain data modelling; personalised modelling methods. He has published more than 620 publications that include 10 books, 220 journal papers, 29 patents. His work has been cited widely (https://scholar.google.com/citations?user=YTa9Dz4AAAAJ) and has a significant impact on the development of methods and systems of computaionla intelligence world-wide.

   Prof. Kasabov has extensive academic experience at various academic and research organisations internationally, including: TU Sofia, University of Essex UK, University of Otago NZ, Advisor Professor at the Shanghai Jiao Tong University, Visiting Professor at ETH/University of Zurich and RGU Scotland, Honorary Member of the Bulgarian Academic Computer Society and of the Greek Computer Society.

    For his achievements Prof. Kasabov has received numerous awards, including: Best paper Award for the journal Neural Networks (2019); Doctor Honoris Causa of Obuda University  Budapest (2018); INNS Ada Lovelace Award for Meritorious contribution to neural networks (2018); NZ Inventor of the year (2018); The 2015 Auckland University of Technology Medal; APNNA ‘Outstanding Achievements Award’ (2012); INNS Gabor Award for ‘Outstanding contributions to engineering applications of neural networks’ (2012); EU Marie Curie Fellowship (2011-12); Bayer Science Innovation Award (2010); APNNA Excellent Service Award (2008); RSNZ Science and Technology Medal (2002).  He has supervised to completion 50 PhD students.

   He has presented more than 80 plenary and invited talks at international conferences. More information of Prof. Kasabov can be found on the KEDRI web site: http://www.kedri.aut.ac.nz.

Education/Academic qualification

PhD, Technical University of Sofia

External positions

Professor, Auckland University of Technology

30 Jun 2002 → …

Keywords

  • TA Engineering (General). Civil engineering (General)
  • artificial intelligence
  • neural networks
  • knowledge engineering
  • computaional modelling
  • cognitive data analytics
  • neuroinformatics
  • bioinformatics
  • neuromorphic computation

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Research Output

  • 576 Citations
  • 12 h-Index
  • 34 Article
  • 1 Book
  • 1 Conference contribution

Application of a Brain-Inspired Spiking Neural Network Architecture to Odor Data Classification

Vanarse, A., Espinosa-Ramos, J., Osseiran, A., Rassau, A. & Kasabov, N., 12 May 2020, In : Sensors. 20, 10, 778506.

Research output: Contribution to journalArticle

Open Access
File
  • Deep Learning and Deep Knowledge Representation in Spiking Neural Networks for Brain-Computer Interfaces

    Kumarasinghe, K., Kasabov, N. & Taylor, D., 5 Jan 2020, In : Neural Networks. 121, Jan 2020, p. 169-185 17 p.

    Research output: Contribution to journalArticle

  • 2 Citations (Scopus)

    Selection and Optimization of Temporal Spike Encoding Methods for Spiking Neural Networks

    Balint, P., Kasabov, N. & Kiss, R., 5 Feb 2020, In : IEEE Transactions on Neural Networks and Learning Systems. 31, 2, p. 358-370 13 p., 8689349.

    Research output: Contribution to journalArticle

    Open Access
    File
  • 3 Citations (Scopus)

    Sleep Stage Classification using NeuCube on SpiNNaker: a Preliminary Study

    Budhraja, S., Bhattacharya, B., Durrant, S., Doborjeh, Z., Doborjeh, M. & Kasabov, N., 21 Mar 2020, (Accepted/In press) Proceedings of the IEEE WCCI 2020. 2020 ed. Vol. WCCI2020 - IJCNN2020 Proceedings . p. 1-8 8 p. WCCI2020- 21017

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Spiking Neural Networks and online learning: An overview and perspectives

    Lobo, J., Del Ser, J., Bifet, A. & Kasabov, N., 5 Jan 2020, In : Neural Networks. 121, p. 88-100 13 p.

    Research output: Contribution to journalArticle

  • 3 Citations (Scopus)