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Nikola Kasabov

KEDRI (Knowledge Engineering and Discovery Research Institute) · Auckland University of Technology

https://researchid.co/nkasabov
@aut.ac.nz
505Scopus Publications
27313Google Scholar Citations
77Google Scholar h-index
406Google Scholar i10-index

Research Interests

neural networks knowledge engineering spiking neural networks brain-inspired computaion

Biography

Professor Nikola K Kasabov is a Life Fellow of IEEE, Fellow of the Royal Society of New Zealand, Fellow of the INNS College of Fellows, DVF of the Royal Academy of Engineering UK. He has Doctor Honoris Causa from Obuda University, Budapest. He is the Founding Director of KEDRI and Professor Emeritus at the School of Engineering, Computing and Mathematical Sciences at Auckland University of Technology, New Zealand. He is also Visiting Professor at the Institute for Information and Communication Technologies of the Bulgarian Academy of Sciences and Dalian University, China. Kasabov is Director of Knowledgeengineering.ai and member of the advisory board of Conscium.com. Kasabov is Past President of the Asia Pacific Neural Network Society (APNNS) and the International Neural Network Society (INNS). He has been a chair and a member of several technical committees of IEEE Computational Intelligence Society and Distinguished Lecturer of IEEE (2012-2014). He is Editor of Springer Handbook of B

Education

SOU Pavlikeni TU Sofia (MSc, PhD)

Recent Scopus Publications

  1. Comparative performance analysis of quantum feature maps for quantum kernel-based machine learning
    Scientific Reports, 2026
  2. Novel Neuron-Stability Weighted Dynamic Evolving Spiking Neural Network (NSW-DeSNN) for Classification of fMRI Data
    Lecture Notes in Computer Science, 2026
  3. TSPFusion:Text-guided semantic perception for infrared and visible image fusion
    Infrared Physics and Technology, 2026
  4. eXCube2: Explainable Brain-Inspired Spiking Neural Network Framework for Emotion Recognition from Audio, Visual and Multimodal Audio–Visual Data
    Biomimetics, 2026
  5. Review of deep learning models with Spiking Neural Networks for modeling and analysis of multimodal neuroimaging data
    Frontiers in Neuroscience, 2025

Research Outputs

(h) Computational Platforms and Software – Designed, Developed and Published 1. N.Kasabov et al, NeuCube – a spiking neural network spatio-temporal data machine, KEDRI, 2013-2021 implemented in different versions: (a) Matlab version:...

Grants / Consultancy

Research Grants (1) Principal Investigator or Associate Principal Investigator • 2022-2025, NEMO-BMI, EU funded project in Collaboration b etwwen France, Bulgaria, the...

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