Nikola Kasabov

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 and member of the advisory board of . 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)

RESEARCH, TEACHING, or OTHER INTERESTS

Artificial Intelligence, Computer Science

FUTURE PROJECTS

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

GRANT DETAILS

Research Grants
(1) Principal Investigator or Associate Principal Investigator
• 2022-2025, NEMO-BMI, EU funded project in Collaboration b etwwen France, Bulgaria, the Netherlands and Switzerland, 3.4mln Euros.
 2020-2023, MBIE-Singapore Data Science Fund: Computaionla neurgenetic modelling for mental health, 2.2mln NZD
 2015-2019, EU funded project PANTHER, including: Poland, Hungary, Spain, Ireland, France, Australia and New Zealand, NZD 2.8mln,
 2017-2019, MBIE Advanced technologies for convective weather prediction (with Met Ocean Solution and Services), 500,000.
 2015-2019, AUT Strategic Investment Research Fund (SRIF), 650,000; INTELLECTE: Intelligent Information Technologies for Innovation, Interaction and Creativity in Complex Data Modelling and Decision Support
 2011-2019, Ministry of Education, NZ, Tripartite project with China: Advanced information technologies for environmental event prediction; 120,000NZD
 2012-2015, MBIE, Advanced spiking neural network technologies for neurorehabilitation, 300,000NZD
 2011-2012, EU FP7 Marie Curie EvoSpike project,; INI/ETH and University of Zurich, Euro120,000; (with G.Indiveri)
 2008/2010, NiCT, Tokyo, Japan, Fast algorithms for cyber-security data stream on-line modelling and analysis

RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)

(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: and
(b) Python version (Balkaran Singh)
(c) Version to work on SpiNNaker (Behrenbeck): .
(d) NeuCube visualisation as a brain-inspired mode:
2. N.Kasabov et al, NeuroGeMS:
3. N.Kasabov et al, EvoSpike - a spiking neural network software environment for modelling spatio-temporal data, 2013:
Patents
1. N.Kasabov, V.Feigin, Z.Hou, Y.Chen, Improved method and system for predicting outcomes based on spatio/spectro-temporal data, PCT patent WO2015/030606 A2, US2016/0210552 A1. Granted/Publication date: 21 July 2016.
2. N.Kasabov, Data Analysis and Predictive Systems and Related Methodologies, US patent 9,002,682 B2, 7 April 2015.
3. R. North, M. Blumenstein, M. McMaster, N. Kasabov, M. Black, G. Cooper, L. McCowan, Biomarkers for prediction of preeclampsia and/or cardiovascular disease, PCT, WO2009/108073A1, 27.02.2009.
4. N.Kasabov, M. Futschik, M.Sullivan, A.Reeve, Method and Medical Decision Support System Utilizing Gene Expression

CONSULTANCY

Pacific Edge Biotechnology Ltd; FONTERRA; National Centre for
Bioprotection – Lincoln; Telecom New Zealand; University of Otago; AUT; The University of Auckland; .

Industry, Institute, or Organisation Collaboration

• MBIE funded project on Data Science NZ-Singapore, 2020-2023.
• EU funded project PANTHER, including: Poland, Hungary, Spain, Ireland, France, Australia and New Zealand, 2015-2019.
• Tripartite collaboration: Shanghai Jiao Tong University – Xinjiang University – AUT – coordinator, since 2009.
• Collaboration project with the Chinese Academy of Sciences – Institute of Automation – coordinator, since 2010.
• Partnership with several European Universities for EU projects: ETH Zurich; U. Manchester; Humboldt U., since 2011.
• Collaboration with Kyushu Institute of Technology, Japan, since 1993.
• Collaboration with the National Institute of Commun. and Information Technologies, NiCT, Tokyo, Japan, 2007-2011.
• PI of a collaborative research project “Connectionist-based intelligent information systems”, FRST/NERF NZ, 1995-2007.
• Research associate and consultant: Advanced Information Modelling Joint Venture, AUT and James and Wells, Chief Scientist, since 2011; Pacific Edge Biotechnology Ltd. - PEBL NZ, Co-founder and consultant, since 1998; NZ Bio-protection CoRE - Centre of Research Excellence, Lincoln, consultant, since 2003; SCOPE Project – U. Auckland, consultant, 2004-2009; RASP project – U. Auckland, consultant, 2008.
• Director, NZ Bioinformatics Summer School at AUT University, 2003 and 2004.
• Coordinator of SIG “Computational Intelligence in Bioinformatics” as part of BISC (Berkeley Initiative of Soft Computing), Department of and

INDUSTRY EXPERIENCE

• Co-founder: Pacific Edge Biotechnology Ltd (Dunedin);
• Director: Knowledge Engineering Consulting Ltd (Auckland).
• Application oriented projects and consultation work for: Fonterra; Telecom New Zealand; ViaLactia; Goat Ventures; CRI: Hort Researc; AgResearch; Food and Crop; Auckland DHBs, and others.

STARTUP

KECL, Https://

SOCIAL, ECONOMIC, or ACADEMIC BENEFITS

Commercial benefit has been gained by the commercial partners and the end users of my
Projects as listed above. Most of the 50 PhD students, supervised by me have joined New Zealand companies and are contributing to the commercial success of the companies. Social benefits have been gained through the creation and the implementation of new information technologies as a result of my research projects that have benefited the New Zealand ICT sector and New Zealand as a whole. Environmental impact has also been achieved through the work with the Centre for Bioprotection for harmful species establishment prediction and with GNS Science on seismic data modelling