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Computer Science
New Zealand
2026

D-Index & Metrics

Computer Science

D-Index
73
Citations
21982
World Ranking
1586
National Ranking
3

Research.com Recognitions

  • 2026 - Research.com Computer Science in New Zealand Leader Award
  • 2025 - Research.com Computer Science in New Zealand Leader Award
  • 2023 - Research.com Computer Science in New Zealand Leader Award
  • 2022 - Research.com Computer Science in New Zealand Leader Award
  • 2010 - IEEE Fellow For the applications of neural networks and hybrid systems in computational intelligence
  • 2001 - Fellow of the Royal Society of New Zealand

Overview

Nikola Kasabov is affiliated with Auckland University of Technology in New Zealand. Their research spans multiple areas, primarily focused on computational intelligence and neural network applications. Their work is situated heavily in the fields of Computer Science, Engineering, and Neuroscience, with significant contributions in several specialized subfields.

Their main fields of study include:

  • Computer Science (122 publications)
  • Engineering (90 publications)
  • Neuroscience (81 publications)

Key subfields of study encompass:

  • Computer Vision and Pattern Recognition
  • Cognitive Neuroscience
  • Media Technology
  • Electrical and Electronic Engineering
  • Artificial Intelligence

Their primary research topics cover:

  • Image Enhancement Techniques
  • Advanced Memory and Neural Computing
  • EEG and Brain-Computer Interfaces
  • Advanced Image Fusion Techniques
  • Neural dynamics and brain function
  • Advanced Image Processing Techniques
  • Remote-Sensing Image Classification

Nikola Kasabov has collaborated frequently with a number of co-authors, including:

  • Jie Yang (33 joint publications)
  • Maryam Doborjeh (23 joint publications)
  • Zohreh Doborjeh (20 joint publications)
  • Zhenhong Jia (20 joint publications)
  • Shihua Zhou (17 joint publications)

The researcher has published extensively in several journals, with multiple articles appearing in:

  • Sensors (8 publications)
  • IEEE Access (8 publications)
  • Multimedia Tools and Applications (7 publications)
  • Preprints.org (6 publications)
  • Scientific Reports (5 publications)

Some recent papers illustrate the scope and focus of their work:

  • "Artificial intelligence: a systematic review of methods and applications in hospitality and tourism," 2021, published in International Journal of Contemporary Hospitality Management
  • "What has social neuroscience learned from hyperscanning studies of spoken communication? A systematic review," 2020, Neuroscience & Biobehavioral Reviews
  • "NeuroSense: Short-term emotion recognition and understanding based on spiking neural network modelling of spatio-temporal EEG patterns," 2021, Neurocomputing
  • "Brain-inspired spiking neural networks for decoding and understanding muscle activity and kinematics from electroencephalography signals during hand movements," 2021, Scientific Reports
  • "Spiking Neural Networks: Background, Recent Development and the NeuCube Architecture," 2020, Neural Processing Letters

Nikola Kasabov has also contributed to academic books, including a publication by Springer Science+Business Media titled "Applied Intelligence and Informatics" released in 2021.

Recognition within the scientific community includes prestigious fellowships such as:

  • IEEE Fellow (awarded in 2010) for applications of neural networks and hybrid systems in computational intelligence
  • Fellow of the Royal Society of New Zealand (awarded in 2001)

Best Publications

  • Foundations of neural networks, fuzzy systems, and knowledge engineering

    Nikola K. Kasabov

  • DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction

    N.K. Kasabov;Qun Song

  • Evolving fuzzy neural networks for supervised/unsupervised online knowledge-based learning

    N. Kasabov

  • Evolving Connectionist Systems: The Knowledge Engineering Approach

    Nikola Kasabov

  • NeuCube: A spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain data

    Nikola K. Kasabov

  • 2013 Special Issue: Dynamic evolving spiking neural networks for on-line spatio- and spectro-temporal pattern recognition

    Nikola Kasabov;Kshitij Dhoble;Nuttapod Nuntalid;Giacomo Indiveri

  • HyFIS: adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems

    J. Kim;N. Kasabov

  • Incremental linear discriminant analysis for classification of data streams

    Shaoning Pang;S. Ozawa;N. Kasabov

  • Evolving Intelligent Systems: Methodology and Applications

    Plamen Angelov;Dimitar P. Filev;Nik Kasabov

  • Evolving Connectionist Systems : Methods and Applications in Bioinformatics, Brain Study and Intelligent Machines

    Nikola K. Kasabov

  • SPAN: SPIKE PATTERN ASSOCIATION NEURON FOR LEARNING SPATIO-TEMPORAL SPIKE PATTERNS

    Ammar Mohemmed;Stefan Schliebs;Satoshi Matsuda;Nikola K. Kasabov;Nikola K. Kasabov

  • Evolving connectionist systems

    Nikola K. Kasabov

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

    Jesus L. Lobo;Javier Del Ser;Albert Bifet;Nikola K. Kasabov

  • Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence

    Nikola K. Kasabov

  • Learning fuzzy rules and approximate reasoning in fuzzy neural networks and hybrid systems

    Nikola K. Kasabov

  • Neural networks letter: To spike or not to spike: A probabilistic spiking neuron model

    Nikola Kasabov

  • Quantum-Inspired Evolutionary Algorithm: A Multimodel EDA

    M.D. Platel;S. Schliebs;N. Kasabov

  • Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications

    Nikola Kasabov;Nathan Matthew Scott;Enmei Tu;Stefan Marks

  • FuNN/2—a fuzzy neural network architecture for adaptive learning and knowledge acquisition

    Nikola K. Kasabov;Jaesoo Kim;Michael J. Watts;Andrew R. Gray

  • Evolving spiking neural networks for audiovisual information processing

    Simei Gomes Wysoski;Lubica Benuskova;Nikola Kasabov

Frequent Co-Authors

Robert Kozma
Robert Kozma University of Memphis
Javier Del Ser
Javier Del Ser University of the Basque Country
Dimitar Petrov Filev
Dimitar Petrov Filev Ford Motor Company (United States)
Francesco Carlo Morabito
Francesco Carlo Morabito University of Reggio Calabria
Plamen Angelov
Plamen Angelov Lancaster University
Stephen G. MacDonell
Stephen G. MacDonell Victoria University of Wellington
Siti Mariyam Shamsuddin
Siti Mariyam Shamsuddin University of Technology Malaysia
Shigeo Abe
Shigeo Abe Kobe University
Dimiter S. Dimitrov
Dimiter S. Dimitrov University of Pittsburgh
Giacomo Indiveri
Giacomo Indiveri University of Zurich

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