Curriculum Vitae

Personal Information

Name:

Nikola Kirilov Kasabov

nkasabov@aut.ac.nz

http://www.kedri.info

Qualifications

Qualification name:                              Institution:                                                                    Date of Graduation:

PhD (Math. Sciences)                          Technical University, Sofia                                        07.04.1975

MSc (Applied Math.)                            Technical University, Sofia                                        30.09.1972

MSc (Comp. Science and Eng.)          Technical University, Sofia                                        30.09.1971

Professional Affiliations/Memberships

RSNZ  (Fellow of the Royal Society of New Zealand)

NZCS (Fellow of the New Zealand Computer Society)

IEEE (Senior Member, Institute of Electrical and Electronic Engineers)

INNS (International Neural Network Society) –  President for 2009 and 2010.

APNNA (Asia-Pacific Neural Network Assembly) – President for 2008.

Distinctions (e.g., prizes, scholarships, invited memberships, notable posts, honorary degrees):

The Bayer Science Innovator Award, 2007.

Vice Chancellor’s Award for Postgraduate Research Supervision, 2007.

DAAD Visiting Professorship, 2005-2006, Germany

Asia Pacific Neural Network Assembly (APNNA) Excellent Service Award for overall contribution in the area of Neuro-information Processing and Intelligent Systems, 2005.

President of the Asian Pacific Neural Network Assembly (APNNA), 1997 and 2008.

International Neural Network Society, President for 2009 and 2010

IEEE (Institute of Electrical and Electronic Engineers), Computational Intelligence Society, Member of the Neural Networks Technical Committee, Chair Taskforce Evolvable Neural Systems, since 2004

Best Paper Award, IEEE 2003 International Conference on Neural Networks & Signal Processing, Nanjing, China, December 2003.

Fellow of the Royal Society of New Zealand, since 2001.

The Royal Society of New Zealand Silver Medal for Contribution to Science and Technology,  2001.

Senior Member of IEEE, since 2001.

Fellow of the New Zealand Computer Society, since 2001.

Member of the Top Achiever Doctoral Committee, Tertiary Education Committee,   NZ (since 1999)

International Neural Network Society, Distinction, Washington DC, 1999.

New Zealand FRST Award for supervision of a PhD student (M. Laws), 1999.

Best paper award, The Fourteenth European Meeting on Cybern. and System Research, Vienna, 04/1998.

IFIP (International Federation for Information Processing), Member of committee 12 for Artificial Intelligence, since 1997

NWO/SION (Dutch Organisation for Scientific/Computer Science) Research) Grant, University of Maastricht, The Netherlands, 1998.

Research Fellowship Grant, University of Twente, The Netherlands, 1998.

Prize for Invention with High Practical Applicability, National Institute of Inventions, Bulgaria, 1992.

Leverhulme Trust Research Fellowship, University of Essex, United Kingdom, 1989/90.

Czechoslovakia, Research Fellowship, Institute of Cybernetics, Bratislava, 1987.

Research Fellowship, Research and Education Ministry, The Netherlands, 1984.

Languages (in addition to English)

Bulgarian, fluently written and spoken

Russian, written and spoken

German, limited

Italian, beginner

Employment History

(a)    Present Position

Professor and Personal Chair, School of Computing and Mathematical Sciences, Auckland University of Technology, since June 2002.

Founding Director, Knowledge Engineering and Discovery Research Institute, (www.kedri.info), Auckland University of Technology, since June 2002.

(b)       Employment History

• Professor and Personal Chair, Department of Information Science, University of Otago, 02/1999 – 06/2002.
• Founding Director, Knowledge Engineering/Discovery Laboratory, University of Otago, 1994 – 2002 (http://kel.otago.ac.nz).
• Associate Professor, Department of Information Science, 1996 to 1998.
• Senior Lecturer, University of Otago/Department of Information Science, 1992 –1995.
• Research Fellow and Senior Lecturer, University of Essex (UK)/Department of Computer Science, 1989 –1991.
• Associate Professor, Technical University (TU) (Sofia)/Department of Computer Science, 1988 – 1989.
• Director of International Graduate School in Artificial Intelligence, TU Sofia, 1988 – 1991.
• Lecturer and Senior Lecturer, TU Sofia/ Department of Computer Science, 1978 – 1988.
• Research Fellow, TU Sofia/Department of Computer Science, 1976 – 1978.

Other Relevant Experience

(a)       Experience Working in Other Countries

Germany, DAAD Visiting Professor, U. Kaiserlautern, 1.10.2005-28.02.2006.

Italy, Visiting Professor, University of Trento: March-April 2001; March-June 2000; March – May 1998.

The Netherlands, Visiting Research Fellow: University of Twente, 06/ 1998; University of Maastricht, 1-2/ 1998.

The UK, Leverhulme Trust Research Fellow, University of Essex, 1989-1990.

Czechoslovakia, Visiting Research Fellow, Institute of Cybernetics (Bratislava) 6-7/1987.

The Netherlands, Research Fellow, University of Delft, 2-7/ 1984.

(b)    National/International Collaboration

Partnership for FP7 European project proposal with: U.Ulster, Imperial College, U. Grenoble, U.la Coruna, U.Aveiro, U.Trento, TU Kaiserslautern, U.Turku, New Bulgarian University, 2007-.    

Collaboration with the Kyushu Institute of Technology, Japan, since 1993

Collaboration with the National Institute of Communication and Information Technologies, NiCT, Tokyo, Japan, since 2007

Coordinator and programme leader of a collaborative research project “Connectionist-based intelligent information systems” funded by FRST and NERF with the participation of researchers from universities and industrial organisations in New Zealand: Auckland University of Technology, University of Auckland, Crown Research Institutes, Lincoln University, PEBL, Fonterra, Genesis R&D, ViaLactia  and other organisations in NZ; 1995-2007.

Research associate and consultant: Pacific Edge Biotechnology Ltd. -  PEBL NZ, since 1998; NZ Bio-protection CoRE - Centre of Research Excellence, Lincoln, since 2003; SCOPE Project – U.Auckland, since 2004; RASP project – U.Auckland, since 2007.

Director, NZ Bioinformatics Summer School, 2003 and 2004.

Executive Committee and Scientific Committee member, Berkeley International Institute for Systems and Computational Intelligence, BIISC, UC Berkeley, 2004/05

Coordinator of SIG “Computational Intelligence in Bioinformatics” as part of BISC (Berkeley Initiative of Soft Computing), Department of Computer Science and Electrical Engineering, University of California at Berkeley, USA, since July 2002. 

Visiting researcher, National Cancer Institute, National Institute for Health - NIH, Frederick, Washington DC, since May 2002.

Co-ordinator of exchange programmes, University of Twente and University of Maastrciht, The Netherlands, since 1998.

Co-ordinator of a research and teaching exchange agreement, Kyushu Institute of Technology, Japan,  since 1996

RIKEN, Brain Science Institute, Japan, Collaboration on  research projects, since 2001.

Founder of the Bionformatics Group, Technical University of  Sofia – branch Plovdiv, Bulgaria, 2004

The International Consortium for Speech Translation Advanced Research, C-STAR II, Affiliate member, 1996-1999.

Research Activities

(a)    Research Expertise

Information Sciences

Artificial Intelligence (Neural Networks, Fuzzy systems, Evolutionary Computation)

Knowledge Engineering

Bioinformatics

Brain-like computing and neuroinformatics

Signal, Speech and Image Processing

Parallel Computer Systems

(b)    Experience in Applied R & D, contract research, consultancies, patents

Co-founder and consultant of Pacific Edge Biotechnology Ltd, www.pebl.co.nz, established in 2001, based in Dunedin, New Zealand.

Founder of Knowledge Engineering Consulting Ltd., www.keconsult.com, established 2001.

Consultant: PEBL (since 1997); ViaLactia Biosciences, Auckland (2005); FONTERRA, Auckland (2004-2006); Lucent-Telecom ( 2005); Fidelity genetics (2005); Bimetric technology Ltd (2005); Waste Solutions Ltd, Dunedin (1994-2001); Hort Research (1996-2000); Steel Manufacturing Company Kremikovtsi, Sofia, Bulgaria (1988 - 1992); Institute for Agricultural Research, Plovdiv, Bulgaria (1987-89); Medical Academy, Sofia, Bulgaria (1987-88).

Patents – total 28:  6 USA, 1 UK, 1 France, 1 Germany, 1 Russia, 1 Czechoslovakia, 13 Bulgaria,

(c)     Research Grants

Last 15 Years

(1)        Principal or joint principal researcher

• 2008/2011, NiCT, Tokyo, Japan, Fast algorithms for cyber-security data stream on-line modelling and analysis, NZ$100,000pa
• 2004/2008, NERF, SCOPE University of Auckland, subcontract for 25,000pa
• 2002/2007, NERF, Connectionist-Based Intelligent Information Systems, $360,000 p.a
• 2006, Fonterra, Predicting milk volume production,  NZ$78,000
• 2006, Telecom/Lucent/Medialab, Close loop optimisation, NZ$70,000
• 2002/2006, HRC, Predicting colorectal cancer outcome using gene expression profiling, $300,000 pa
• 2002/2004, Cancer Society of NZ, Neuroblastoma treatment prediction and classification systems, $80,000pa
• 2003/2004, Fonterra, Evaluation of evolving connectionist techniques and their applications, $55,000
• 2004, ViaLactia Biosciences, NZ herd phenotype quality analysis, $75,000.
• 2001, University of Otago, Connectionist-Based Information Systems, Emerging Theme Research,  $20,000, 01.01.01 – 01.01.02
• 2000, University of Otago, Connectionist-Based Information Systems, Emerging Theme Research,  $20,000, 01.01.00 – 01.01.01
• 1999, University of Otago, Connectionist-Based Information Systems, Emerging Theme Research,   $15,000 01.01.99 – 01.01.00
• 1998/2002, FRST and NERF, Connectionist-Based Intelligent Information Systems, $360,000 p.a., 1.07.98 - 1.07.2002
• 1996/98, FRST UOO-606, Connectionist-Based Information Systems, $385,000 p.a., 1.07.96-1.07.98 
• 1995/98, FRST UOO-509, Spatial Analysis Systems and Management, $303,000 p.a., 30.10.95- 30.10.98
• 1997/98, University of Otago, Connectionist Based Information Systems, Emerging Research Theme, $15,000, 1.07.97-1.07.98
• 1998/99, Otago Research Grant, Adaptive neuro-fuzzy methods in pharmaceutical sciences, $30,000,1.7.98 - 1.7.99
• 1997/98, Otago Research Grant, Neuro-fuzzy methods in pharmaceutical sciences, $35,000,1.7.97 - 1.7.98
• 1995, Otago Research Grant, Methods and Tools for Building Adaptable Speech Interfaces to Standard and Fuzzy Databases, $25,193, 1.1.95-30.11.95
• 1995-1997, Waste Solutions Ltd, Neuro-Fuzzy Control, $20,000, 1.7.95-31.12.96  
• 1994/95, FRST, Development of a Spatial Analysis Tool Box, $57,000, 30.10.94-30.10.95
• 1994, TELECOM New Zealand Ltd, Automatic Speech Recognition, $24,500, 1.5.94-31.12.94 
• 1994, Departmental Research Grant, A Software Environment for Building Fuzzy Connectionist Production Systems - FuzzyCOPE, $10,000, 30.5.94-28.2.95 

(2)        Contributing researcher:

2007-2008, Health Research Council, RASP – Rapid assessment of smoking status using change in acoustic parameters of voice, U.Auckland, 150,000$

2004-2008, NERF, SCOPE – Predicting abnormalities in pregnancy (Program leader  - Assoc.Prof. Robyn North, University of Auckland), 1.5 mln  pa

1999/2001, Policy problems and policy options under alternative monetary regimes, with special reference to Italy in the EMU, University of Trento, Italy, IL700 mln, with Prof. Axel Bengt, Prof. M.Fedrizzi and  Prof. L.Erzegovesi.

1998/2000, FRST, Biological Orchard Production Systems, appr.$200,000 p.a., 1.7.1998 - 1.7.2002, Dr. H.Wearing, HortResearch

1998/2002, FRST, Distributed Information Systems, appr.$350,000 p.a., 1.01.98- 31.12.2002, Dr. M. Purvis

1998/2002, FRST, Spatial Analysis Systems and Management, appr.$100,000 p.a., 1.10.1998 - 1.10.2002,  A/Prof. G.Benwell.

Prior to the Last 10 Years

Principal researcher of projects funded by the Bulgarian Ministry of Science and Technology (BMST): Parallel processing systems (1989-1991); Expert systems for agricultural applications (1988-91); Expert systems for planning and decision making  (1988-1991); Intelligent tutoring systems (1987-1989); The design and the implementation of GESMI- an expert system shell (1985-87).

Principal researcher of projects funded by the Bulgarian National Institute of Inventions: Stack memory device (1985-87); Multi-register memory systems (1984-1986).

Principal researcher of academic and industrial projects in Bulgaria (1974-1988): Multi-microprocessor systems for the Metallurgy Industry (1984-1988); Bubble-domain memories for computer systems (1984-86); Performance evaluation of computer systems (1978-1980); Information systems for financial operations in the Kazanluk textile industry (1974-1975).

(c)       Supervision of Postgraduate Students

Completed

PhD, Vishal Jain, System biology – data analysis, modelling and knowledge discovery, 2004-2008

PhD, Simei Wysosky, Brain like speech and image integration methods and systems, AUT, 2004-2008 

PhD, Paulo Gottgtroy, Methodology and a framework for ontology building on the case study of biological and medical data, TAD, AUT, 2004-2008.

PhD, Liang Goh, Methods for information integration and knowledge discovery on gene expression data, Auckland University of technology, 2002-2005

PhD, David Parry, On-line intelligent data mining for medical data, AUT, 2000-2005

PhD, Michael Watts, Evolving connectionist systems, University of Otago, 1999-2004

PhD, Brendon Woodford,Connectionist-based adaptive expert systems and image analysis in horticulture, University of Otago, 1999-2007

PhD, Matthias Futschik, Microarray Gene Expression Data Analysis and Knowledge Discovery, , University of Otago, NZ, 2000-2003.

PhD, Waleed Abdulla, Signal processing and acoustic modelling for speech recognition systems, University of Otago, 1998-2002.

PhD, Evolving connectionist systems for dynamic modelling, Q.Song, University of Otago, 1998-2002.

PhD, Maori language integration in the age of information technology: computational approach, Mark Laws, University of Otago, 1998 -2002.

PhD, Connectionist systems for speech recognition, R.Kilgour, University of Otago 1997-2001.

PhD, Neuro-fuzzy techniques for intelligent systems, J. Kim, University of Otago, 1996-1999

PhD, Probabilistic-connectionist processing to improve image pattern recognition, S. Israel, University of Otago, 1995-1999

PhD, Connectionist production systems, TU, Sofia, Bulgaria, S.Shishkov, 1990-1994

PhD, Denotation semantics for AI, TU, Sofia, Bulgaria, N.Nikolaev, 1990-1994

MPhil, Production systems on associative memories, T. Lin, University of Essex, 1990-92.

MSc,  N.Mohan, Transductive reasoning and personalised modelling,  2005

MSc, Andreas Magusin, Bi-clustering in bioinformatics, Auckland University of Technology, 2003-04

MSc, On-line decision support systems in bioinformatics, M.Middlemiss, University of Otago, 2001.

MSc, A Bilingual speech interface for New Zealand English to Maori, M. Laws, University of Otago, 2001

MSc, Hybrid systems and neural networks for speech recognition, R.Kilgour, University of Otago, 1994 -1996.

MCom, Intelligent systems for control, M.Bailey, 1997.

MCom, S.Sinclair, Multi-modular speech recognition systems, University of Otago, 1997.

MSc, Speech recognition and neural networks, TU Sofia, D. Nikovski, 1992.

MSc, Hybrid system COPE, TU Sofia, Bulgaria, C. Neshev, 1992.

MSc, Machine learning, TU Sofia, Bulgaria, S. Petrova, 1992.

MSc, FLIPS Fuzzy Expert System, TU Sofia, Bulgaria, T.Dekova, 1992.

MSc, Neural networks for game simulation, TU Sofia, Bulgaria, P. Kalinkov, 1992.

MSc, L. Chen, Simulation of CLIPS on associative computer memory, University of Essex, 1990.

MSc, C. Tan, Template-based learning, University of Essex, 1990-1991. 

Currently supervising the following PhD students:

PhD, Maggie Ma, Evolving connectionist systems for decision support in medical prognosis, NZ Top Achiever Doctoral Scholarship TAD, AUT, in completion 2008

PhD, David Zhang, Integrating speech and image signals in intelligent systems, AUT, in completion  2008

Marin Karaivanov, Integrative decision support systems, since 2008.

Haza Nuzlu, Quantum particle swarm optimisation: methods and applications,  since 2008.

Harya Widiputra, Dynamic interaction networks for multiple financial time series prediction, since 2007

Stefan Shliebs, Quantum neurocomputation, AUT, since 2007

Raphael Hu, Integrated bioinformatics, AUT, since 2007

Anju Verma, Personalised decision making based on gene data, AUT, since 2005

Francis Josef, Design and computational intelligence, since 2006

Peter Hwang, Personalised modelling, since 2005

Boris Bacic, Connectionist and hybrid methods for video data analysis, AUT, since 2003.

Snejana Soltic, Intelligent Decision Support systems and image data analysis, AUT, since 2003.

Akbar Ghobakhlou, PhD Adaptive Speech Recognition Systems, University of Otago, since 1999.

Jay Swope, Modelling of bio-medical time series, University of Otago, since 1998.

Prior to the Last 10 Years

Supervised 43 successful MSc dissertations (1977-1990), Technical University of Sofia, Department of Computer Science.

Supervised 5 successful postgraduate diplomas in Artificial Intelligence, International Graduate School of AI, Technical University of Sofia (1988 -1991).

Teaching activities

 Introduced and taught the following academic courses:

Knowledge engineering and intelligent systems, TU Kaiserlautern, Germany, (Postgr. level), 2005/06

Evolving connectionist systems (Qualification level), Singapore, Malaysia, 2002,2003 and 2004.

Data mining and knowledge engineering, (Masters level), Auckland University of Technology, 2003-

Bioinformatics, (Masters level), Auckland University of Technology, since 2004

Data, information and knowledge (Undergraduate level), University of Otago, 2001

Intelligent systems (Undergraduate level), University of Otago, NZ, 1993-2002

Neural networks and fuzzy systems, 1993 -2002 (Postgraduate level) University of Otago, NZ (The course was re-named to “Advanced knowledge engineering” in 1999)

Programming techniques, (Undergraduate level), 2000-2001, University of Essex, UK

Expert systems (Postgraduate level), 1984, Technical University of Sofia, Bulgaria

Parallel processing (Postgraduate level), 1984, Technical University of Sofia, Bulgaria

Analysis and synthesis of algorithms, (Undergraduate level), 1980, TU Sofia, Bulgaria

Computing (Undergraduate level), 1978, Technical University of Sofia, Bulgaria

University Service

(a)    Positions held within Department/School/Division

Last 10 Years

Member of the Research Committee, Faculty of Design and Creative Technologies, Auckland University of Technology, 2005-

Member of the Research Committee, Faculty of Business, Auckland University of Technology, 2003-2004

Founding director of the Knowledge Engineering Research Laboratory http://kel.otago.ac.nz, Department of Information Science, University of Otago, 1994-2002

Member of the Graduate Committee, Information Science Department, University of Otago, 1994 – 2001

Prior to the last 10 Years

Deputy Director of the Artificial Intelligence Research Laboratory, Technical University of Sofia- Bulgaria, 1987-91

Member of the Faculty Board, Faculty of Automation and Computing, Technical University in Plovdiv, Bulgaria, 1987-91

Deputy Dean for International Relations, Faculty of Radio-electronics, Technical University of Sofia, 1987-89

(b)       Positions held at University level

Last 10 years

Member of the Academic Board, Auckland University of Technology,  2002-2004

Founding director of the Knowledge Engineering and Discovery Research Institute, www.kedri.info, Auckland University of Technology, since June 2002

Co-ordinator and principal researcher of the University Emerging Research Theme “Connectionist-based information systems”, University of Otago, 1996-2002

Prior to the last 10 years

Director of International Graduate School in AI, TU Sofia, 1988-91

Professional Activities

(a)       Academic and Professional Advice and Services

Top Achiever Doctoral Committee (Bright Future Scholarship Committee) FRST NZ, since 1999

RSNZ, Member of the new fellow selection committee,  2003-2005

Otago Institute Council (The Otago Branch of the Royal Society of New Zealand), 1998 till 2002

Marsden Fund, New Zealand, Reviewer, since 1996.

FRST (Foundation for Research Science and Technology, New Zealand), Reviewer, since 1994.

Australian Research Council, Research proposal reviewer, since 1995.

Multiple Sclerosis Society, Australia, Research proposal reviewer, 1996.

Royal British Society, UK, Research proposal reviewer, 1992-1997.

School of Pharmacy, University of Otago, Consultant on a PhD research project, 1995-1998.

School of Physical Education, University of Otago Consultant on a PhD research project, 1997.

Departments of Psychology and Computer Science, University of Otago Consultant on a MSc project, 1994-1997.

Centre of Neuro-sciences, Sofia, Bulgaria, Consultant and project proposal reviewer, 1990 - 92.

University of Essex, UK, Convenor of a multi-disciplinary seminar on neural networks, 1991.

(b)       Service to External Academic and Professional Activities

Service to, or leadership in, academic discipline or professional associations:

INNS, President, 2009 and 2010

APNNA, President, 2007-2008

INNS, President Elect, 2007

INNS, Vice president and Member of the Governing Board,  2005-2007

IEEE, Senior Member, since 2001

IEEE Computational Intelligence Society, Neural Networks technical Committee, Adaptive systems taskforce co-ordinator, since 2004

IEEE Computational Intelligence Society, Intelligent Systems Applications technical Committee, Taskforce co-ordinator on Biomedicine and Bioinformatics, since 2004

IFIP (International Federation for Information Processing)  – member of the TC12 group and chair of 12.2 sub-group, 1998-.

APNNA (Asia Pacific Neural Network Assembly) – member of the Governing Board, since 1993.

New Zealand Computer Society, Chairman of the "Artificial Neural Networks and Expert Systems” Special Interest Group - ANNES SIG, 1993-1996

IEEE Robotics and Automation Society, Member of an International Board, 1996-98

General Conference Chair and co-chair of professional conferences

ICONIP’2008, 25-28.11.2008, Auckland, General Chair

NNN08, 24-25.11.2008, Auckland, Program Chair

HIS 2007, Program co-chair, Kaiserslautern, Germany, September, 2007

IJCNN’2007, Florida, USA, Program Co-Chair

HIS & NCEI’06, Auckland 13-15 2006, General Chair

EFS, 2006, Lancaster UK, Co-Chair

ICANN’2005, Poland, Tutorial chair

ICONIP’2004 – Calcutta, November 2004, Program Chair

IJCNN/FUZZ IEEE, 2004 – Program, vice-chair, Budapest, 2004

ICONIP’2003 – The 13^th International Conference on Neural Information Processing, Istanbul, July 2003, Tutorial Chair

WCCI’2002 – The World Congress of Computational Intelligence, May 2002, Hawaii, Program co-chair of IJCNN2002

JCIS’2002, Chair of the Workshop on “Adaptive systems for speech recognition” Durham, March, 2002

FUZZ/IEEE 2001 – The 10^th IEEE International Conference on Fuzzy Systems, Melbourne, Australia, December 2001, Scientific Area Chair

ANNES’2001 - The Fifth New Zealand International Conference on Artificial Neural Networks and Expert Systems, Dunedin, New Zealand, November 2001

IES’2001 – The 5^th Australasia-Japan Joint Workshop on Intelligent and Evolutionary Systems, Dunedin, New Zealand, November 2001

ICONIP’2001 – The 8^th International Conference on Neural Information Processing, Shanghai, China, November 2001, Chair (International Promotion)

IIZUKA’2000 – An international conference on soft computing, Japan, Program chair

ICONIP'99 - The Sixth Asian Pacific International Conference on Neural Information Processing, jointly with ANZIIS’99 and ANNES’99, Perth, Australia, November 1999

ICONIP'97 - The Fourth Asian Pacific International Conference on Neural Information Processing, jointly with ANZIIS’97 and ANNES’97, Dunedin, November 1997

ANNES'95 - The Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, Dunedin, November 1995

ANNES'93 - The First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, Dunedin, November 1993

Organiser and Chairman of Invited Sessions at International Conferences

2006, WCCI - IJCNN and FUZZ-IEEE, 3 special sessions, Vancouver, 2006

2005, IJCNN’2005, Computational neurogenetic modelling (with L.Benuskova)

2004, ICONIP’2004, Adaptive intelligent systems (with Prof. Yamakawa)

2003, JCIS’2003, Chair of the Workshop on “Adaptive systems and brain-like computing”, Durham, September, 2003

2003, Track organiser, ICONIP’2003, July, 2003, Istanbul

2002, Special session organiser, ICONIP’2002, Singapore, November

2002, Special session organiser, JCIS'2000 – Joint Conference on Information sciences, USA

2000, Workshop organiser, JCIS'2000 – Joint Conference on Information sciences, USA, Atlantic City

1999, Workshop “Future directions for intelligent systems and information sciences”, November, Dunedin, 1999

1999, Special session “Adaptive speech recognition”, ICONIP'99, Perth

1996, Neuro-fuzzy models and adaptive information systems, ICONIP'96, Hong Kong, 13-17 September

1996, Hybrid systems for knowledge engineering, Iizuka'96, Japan, 3-7 October

1994, Hybrid systems, Iizuka'94, Japan, 1-8 August

1994, WWW'94-IEEE/Nagoya University Wise person Workshop on Fuzzy Logic and Neural Networks/Evolutionary Computation, Nagoya, Japan

Member of international programme committees

IJCNN’2009, Atlanta, USA.

ICANN 2007, Porto

IJCNN 2006, Vancouver

FUZZ-IEEE 2006, Vancouver

ICANN 2006,  Athens

KES 2006, UK

IJCNN’2005, Montreal

ICANN’2005, Warsawa

ICONIP’2004, Calcutta

IJCNN’2004, Budapest

ICONIP’2003, Istanbul

ICONIP’2002, Singapore

IAE’2002, Australia

ICAIS’2002 - Australia

ICONIP’2001 – Shanghai, November 2001

CEC’2001, Korea, May 2001

IJCNN’2000 – Como, Italy, July 2000

Iizuka’2000 – Iizuka, Japan

CEC’2000, San Diego, July 2000

ICONIP'2000 – Seoul, November 2000

Neural Computation'2000 – Berlin, 2000

Joint Conference on Information Sciences JCIS, Atlantic City, USA, 2000

ICONIP'99 - The Sixth Asian Pacific International Conference on Neural Information Processing, Sydney, October 1999

IJCNN'99- Washington DC, July 1999

ICONIP'98 - The Fifth Asian Pacific International Conference on Neural Information Processing, Kitakyushu, Japan, October 1998

IIZUKA’98 - International Conference on neural networks, fuzzy systems and soft computing, Iizuka, Japan, October 1998

ICNN&B'98 - International Conference on Neural Networks and Brain, Beijing, 27-30 October 1998

AI’98, Australian Joint Conference on Artificial Intelligence, 13-17 July 1998, Brisbane, Australia

EIS’98 – International ICSC symposium on Engineering Intelligent Systems, Tenerife, Spain, February 11-13 1998

NC’98 – International Symposium on Neural Computation, Vienna, Austria, September 23-25 1998

AID’98 - International Conference on AI in Design, Portugal, July 1998

ISSCI’98 - Second International Symposium on Soft Computing for Industry,  Anchorage, Alaska, USA, May 10-14, 1998

EIS’98 - International ICSC Symposium on Engineering of Intelligent Systems, Spain, February 1998

WMC’97 - World Manufacturing Congress, Auckland, November 1997, Programme Chairman of a Symposium

GeoComputation’97, University of Otago, August 1997

IFSA'97 Seventh World Congress of the International Fuzzy Systems Association, June 25-27 1997, Prague

BOFL’96 - International workshop on breakthrough opportunities for fuzzy logic, Yokohama, Japan, December 1996

ACNN'96  - The Seventh Australian Conference on Neural Networks, Sydney

ICONIP'96 - The Third Asian Pacific International Conference on Neural Information Processing, Hong Kong

IIZUKA'96 - International Conference on neural networks, fuzzy systems and soft computing, Iizuka, Japan

ANZIIS'96 - The Fourth Australian New Zealand Conference on Intelligent Information Systems, Adelaide, November 1996, Liaison Chair for New Zealand

AID'96 - International Conference on AI in Design, Carnegie Melon University, USA, Vice-chair for New Zealand

FLAMOC’96 - International Conference on Fuzzy Logic and the Management of Complexity, Sydney, January 1996

FUBEST’96 - The Second Workshop on fuzzy based expert systems, Sofia, October 1996 

SIC’96 - International Panel Conference on Soft and Intelligent Computing, Budapest, October 1996

ICONIP'95 - The Second International Conference on Neural Information Processing, Beijing

ANZIIS'95 - The Third Australian New Zealand Conference on Intelligent Information Systems, Perth, 1995, Liaison Chair for New Zealand

ACNN'95  - The Fifth Australian Conference on Neural Networks, Sydney,

WWW'95 - IEEE/Nagoya University Wise person Workshop on Fuzzy Logic and Neural Networks/Evolutionary Computation, Nagoya, Japan

CFSA/IFIS/SOFT'95 - International Conference on Fuzzy Theory and Applications, Taiwan

ICONIP'94 - The First International Conference on Neural Information processing, Seoul, Korea

ANZIIS'94 - The Second Australian New Zealand Conference on Intelligent Information Systems, Brisbane, Liaison Chair for New Zealand

AIA'94 - The Second International Round-Table on Abstract Intelligent Agents, Rome, Italy

AIMSA'90 - Artificial Intelligence - Methodology, Systems, Applications, Varna, Bulgaria

AI'88 - Artificial Intelligence, Sozopol, Bulgaria, Vice-chair of the programming committee

  Editorship of journals and periodicals.

Associate Editor and Member of Editorial Boards:

Neural Networks, Elsevier, since 2007

IEEE Transactions of Fuzzy Systems, since December 2007

IEEE Transactions of Neural Networks, since December 2005

International Journal of Neural Systems, World Scientific, since 2005

Computational and Theoretical Nanoscience, American Scientific Publishers, since 2003

   Information Sciences, Elsevier Science, Associate Editor, since 2001

The International Journal of Hybrid Intelligent Systems, since 2004

IEEE Transactions of Industrial Informatics, Associate Editor,  2004-2007

Applied Soft Computing, Elsevier, since 2000

International Journal of Computational Intelligence and Applications, Imperial College Press, London, since 2000

Neural Information Processing: Letters and Reviews, since 2004

Journal of Advanced Computational Intelligence and Informatics, Japan, since 1997

Biomedical Fuzzy and Human Sciences, Japan, 1996-2001              

Australian Journal of Intelligent Information Processing Systems, since 1996

Guest editor of special issues of journals:

Journal of Computational and Theoretical Nanoscience, Computational Intelligence for Bioinformatics, 2005

Int. Journal of Comp. Intelligence and Applications, 2004

Information Sciences:  2003, 2001, 1998 and 1997

Journal of Advanced Computational Intelligence: 1998

Australian Journal of Intelligent Information Processing Systems: 1998 and 1996

International Journal of Intelligent Systems: 1997

Fuzzy Sets and Systems: 1996

Reviewer of international journals:

Neural Networks, since 1993

IEEE Transactions on Neural Networks, since 1994

IEEE Transactions on Fuzzy Systems, since 1995

IEEE Transactions on Systems, Man, and Cybernetics, since 1995

Information Sciences, since 1995

IEEE Transactions on Industrial Electronics, 1997

IEEE Trans. Data and Knowledge Engineering, since 2003

Informatica, since 1997

Journal of Advanced Computational Intelligence and Informatics, since 1997

BioSilico, since 2004

Applied Soft Computing, since 2003

Int. Journal of Comp. Intelligence and Applications, since 2002

Australian Journal of Intelligent Information Processing Systems, since 1994

Fuzzy Sets and Systems, North Holland, since 1994

Lecture Notes in Computer Science/Artificial Intelligence, since 1994

Medical and Biological Engineering and Computing, England, 1992 -1996

Examiner of postgraduate research theses at other Universities

University of Malaysia, PhD thesis, 2008

                      University of Otago, PhD thesis, 2008

                    The University of Auckland, Masters thesis, 2008

Nanyang Technological University, Singapore, PhD Thesis, 2007

Nanyang Technological University, Singapore, PhD Thesis, 2007

Indian Statistical Institute, PhD thesis, 2007

Nanyang Technological University, Singapore, PhD Thesis, 2006

Indian Statistical Institute, PhD thesis, 2006

Auckland University of Techn., Masters thesis, 2006

University of Auckland, PhD thesis, 2005

Lincoln University, PhD thesis, 2004

Deakin University, Australia, PhD thesis, 2004

                      University of Auckland, PhD thesis, 2002

                    Deakin University, Australia, PhD thesis, 2003

         University of Auckland, PhD thesis, 2002

         University of Auckland, Masters thesis, 2002

University of Auckland, PhD thesis, 2001

Massey University, PhD thesis, 2001

University of South Australia, PhD Thesis, 2000

University of Western Australia, PhD Thesis, 2000

Auckland University, PhD thesis, June 2000

Swinburn University, Australia, PhD Thesis, September 1999

Auckland University, PhD thesis, September,1999

Swinburn University, Australia, PhD Thesis, March,1999

Auckland University, PhD thesis, April, 1999

Swinburn University, Australia, PhD Thesis, 1998

Massey University, PhD Thesis, 1998

Swinburn University, Australia, PhD Thesis, 1997

University of New South Wales, Australia, PhD thesis, 1997

Massey University, PhD thesis, 1997

Auckland University, PhD thesis, 1997

Auckland University, Masters thesis, 1996

Massey University, Masters thesis, 1996

University of Canterbury, Masters thesis, 1996

University of Canterbury, PhD thesis, 1995

Massey University, 2 PhD theses, 1995

Auckland University, PhD thesis, 1994

Nanyang University of Technology, Singapore, 2 Masters dissertations, 1994

Seminar talks and lectures at other Universities and Scientific Institutions

The University of Auckland, 2008

University of Oxford, Oxford, UK, October 2007

Imperial College, London, UK, October 2007

University of Reggio di Calabria, Italy, October 2007

University of Trento, Italy, September 2007

University of Coimbra, Portugal, September 2007

University of Ulster, Londonderry, October 2006

Mackay University, Queensland, Australia, April 2006

University of Lausanne, Switzerland, December 2005

University College of London, Medical School, December 2005

Fraunhoffer Institute and UNI-Kaiserslautern, Germany, November 2005

University of Lancaster, UK, September, 2005

Bulgarian Academy of Sciences, August 2005

University of Nagoya, Nagoya, Japan, June 2005

University of Natural Sciences, Ho Chi Min City, Vietnam, June 2005

University College London, 2004                    

TU of Sofia, Bulgaria, 2004       

TU of Keiserslautern, Germany, 2004

Kyushu Institute of Technology, Japan, 2004, 2001

Kobe University, Japan, 2004

Ritsumeikan University, Japan, March 2003 and May 2002

University of California at Berkeley, July 2002 and December 2003

Stanford University, USA, July 2002

National Cancer Institute, Washington DC, May 2002

Pohang University, Korea, 2000

University of Auckland, June 2000

IRST and University of Trento, May, 2000            

University of California at Berkeley, July 1999

University of Milano, June 1999

University of Ulm, Germany, June 1999

University of Venice, May, 1998

University of Trento, Italy, May, 1998

University of Napels, Italy, April, 1998

University of Essex, UK, December 1997

University of New South Wales, Sydney, Australia, April 1997

University of Keiserslautern, Germany, 1995

University of Trento, Italy, 1995

National Research Institute in Milano, 1995

University of Canterbury, 1995

Nanyang University of Technology, Singapore, 1993

University of Nottingham, U.K., 1991

King's College, University of London, UK, 1991

University of York, U.K., 1991

University of Essex, U.K., 1991

Community Service

Media commentaries and columns on professional matters:

Computer World, Dec.2008

The NZ Business Review, September 2008

NZ Herald, April, 2008

The NZ National Business Review Magazine, The Bayer Innovation in Science Winner, December 2007 

NZ Computer World, November, 2005 

NZ Herald, 2002

Who is Who in the World, entries since 1995

Who is Who in Science and Engineering, entries since 1995

Who is Who in New Zealand, since 1999

Otago Daily Times, December, 2001, September 1999, May 2000

Who is Who in Asia and the pacific Nations, since 1999

People of the 20^th century, Cambridge Biographical Centre, since 1999

International authors and writers - Who is Who, Cambridge Biographical centre, since 1999

Marquis Who's Who in America, entries 1995- 2000

World Directory of Mathematicians, listed in the NZ's entry, 1998

Bulgarian National Radio, Interview, 01/1998

Bulgarian newspaper "24 hours", Article on Intelligent Robots, 01/1998

TVNZ, 2 interviews, 11/1977

Quickface, The New Zealand Computer Society Monthly Bulletin, 8 articles on intelligent information systems and ANNES SIG, 1995-96

National Radio, NZ, Interview with Diana Burns on Intelligent information systems, 11/1996

Southern Television news report on ANNES'95 conference and on a Research Project, 11/95

Otago Daily Times, Report on ANNES'95 conference and on a Talking Computer Project, 11/95

Campus Review, vol.5, 1029, article on a research project, 1995

4XO Gold Radio Station Dunedin, Interview, 07/1995

Dunedin Star Weekender, article by Frank Campbell, 06/1995

Five articles on computing published in a general public magazine "Eni Hayat", Bulgaria; 1982-88 (in Bulgarian)

A series of five radio programmes on Computer science, National Radio, Bulgaria; 1982 (in Bulgarian)

Conferences, seminars, and workshops (including invited addresses to community groups on professional matters; only activities aimed at the general community) 

12 lectures at secondary schools in Sofia, Bulgaria, on computing in education, 1985-89

Public lectures

“The World of Information, where Science, Art and Engineering Meet”, Faculty of Design and Creative Technologies, AUT, April 2007

“Knowledge Engineering, Neurocomputing and Knowledge Discovery”, Royal Society of NZ, Wellington, November, 2002

“Knowledge Engineering and Knowledge Discovery”, Inaugural Professorial Lecture, Auckland University of Technology, September 2002

 “Artificial Intelligence – Myth, or reality”, Eranos lecture, University of Otago, September 2001

“Connectionist systems for data mining and knowledge discovery in Bioinformatics”, University of Otago, 2001

“Data, information and knowledge and their metamorphoses” – lecture at the Otago Institute, Royal Society of New Zealand, Dunedin, May 2000

“Intelligent systems for a knowledge-based society”, Inaugural Professorial Lecture, University of Otago, 22 September 1999

"Intelligent Information Systems: the present and the future", for the members of the IEEE Chapter, Singapore, November 1994

Provision of continuing education

Hands-on-Science summer school - project leader, University of Otago, 1995.

Hands-on-Science summer school - project leader, University of Otago, 1994.

University Links Supporting other Providers of Community Service

Polytechnics, Colleges, Schools

Polytechnic, assistance in curriculum development, Southland Polytechnic, Invercargill, 1995

Southland Polytechnic, Invercargill, a series of lectures  - 1993 and 1994

Joint projects with secondary schools, Sofia, Bulgaria, 1987-89

Joint seminars for university and school students, Sofia, Bulgaria, 1987-89

  Cultural and/or Scientific Access, Participation and Development

Participation at musical concerts at the conferences Iizuka' 2000, 1996, 1994, and ICONIP 07, Japan

Participation at folk music festivals, Dunedin, 1994

Publications

(a)  Books

Authored

1.     Kasabov, N. Evolving Connectionist Systems: The Knowledge Engineering Approach (new edition), Springer Verlag, London, (2007) 458p

2.     Benuskova, L. and N.Kasabov, Computational neuro-genetic modelling: Integrating bioinformatics and brain science data, information and knowledge via computational intelligence, Springer, New York, 2007, 290 pages

3.     Kasabov, N. Evolving connectionist systems: Methods and applications in bioinformatics, brain study and intelligent machines, Springer Verlag, London, (2003) 308p

4.     Kasabov, N. Foundations of Neural Networks, Fuzzy Systems and Knowledge Engineering.  Cambridge, Massachussets, MIT Press (1996) 550p

5.     Kasabov, N. and Romanski, R. Computer Architectures and Techniques Sofia, Technika (1992) 435p (in Bulgarian)

6.     Stoichev, S. and Kasabov, N. Programming in PASCAL. Sofia, Technika (1989) 136p (in Bulgarian)

7.     Stoichev, S. and Kasabov, N. Synthesis and Analysis of Algorithms. Sofia, Technika (1988) 84p (in Bulgarian)

8.     Stoichev, S. and Kasabov, N. Computer Architectures and Techniques. Sofia, Technika (1986) 348p (in Bulgarian)

9.     Stoichev, S. and Kasabov, N. Computers - Theory and Practice (Programming of Microprocessors). Sofia, Technika (1984) 120p (in Bulgarian)

Edited scientific, research books:

1.     P.Angelov, D.Filev, and N.Kasabov (eds) Evolving intelligent systems, IEEE Press and Wiley, 2008

2.     Kasabov, N. (ed.) Future Directions for Intelligent Systems and Information Sciences, Heidelberg, Physica-Verlag (Springer Verlag) (2000), 420pp

3.     Kasabov, N. and Kozma, R. (eds.) Neuro-Fuzzy Techniques for Intelligent Information Systems, Heidelberg, Physica-Verlag (Springer Verlag) (1999), 450pp

4.     Amari, S. and Kasabov, N. (eds.) Brain-like Computing and Intelligent Information Systems, Singapore, Springer Verlag  (1998), 533 p.

Edited Conference Proceedings:

1.     M.Koeppen, N.Kasabov, G.Coghill and M.Ishikawa, Advancements in Neural Information Processing,  Proc. off ICONIP 2008, Springer LNCS, 2009

2.     J.Si, R.Sun, D.Brown, I.King and N.Kasabov (eds) Proceedings of the Int Joint Conference on Neural Networks – IJCNN, 12-16 August 2007, IEEE Press, 2007

3.      A.Koenig, M.Koeppen, A.Abraham, C.Igel and N.Kasabov, Proc. Seventh Int. Conference on Hybrid Intelligent Systems – HIS 2007, 17-19 Sept.2007, IEEE Comp.Soc.Press 

4.     P.Angelov, D.Filev, N.Kasabov, O.Cordon (eds) Proc. 2006 Int. Symp. Evolving Fuzzy Systems, Lancaster, UK, IEEE Press, 2006

5.     N. Pal, Nikola Kasabov et al, (eds) Proc. of the Int. Conf. on Neuro Information Processing, Calcutta, November 2004, Springer Verlag, Vol. 3316, ICONIP’2004, Heidelberg, 2004

6.     M.Barley, N.Kasabov (eds) Intelligent Multi-agent Systems, LNAI, vol. , 2004

7.     Kasabov N., Pang S., (eds) International Journal of Computers, Systems and Signals, Volume 5 No. 2, 2004  

8.     K. Chen, Shu Heng Chen, Heng Da Cheng, David K.Y. Chiu, Sanjoy Das, Richard Duro, Zhen Jiang, Nik Kasabov, Etiene Kerre, Hong Va Leong, Qing Li,, Mi Lu, Manuel Grana Romay, Don Ventura, Paul P. Wang, Jie Wu (eds) Proceedings of the 7^th Joint Conference on Information Sciences, JCIS 2003, 1780 pages

9.     Kasabov, N, Zeke S.H. Chan (eds) Proceedings of the Conference on Neuro-Computing and Evolving Intelligence, November 2003, Auckland University of Technology, (2003) 122 pages

10. Kasabov, N. Proceedings of the Neurocomputing Colloquium and Workshop, October, Auckland University of Technology, (2002) 85 pages

11. Kasabov, N., B.Woodford (eds) Proceedings of the ANNES’2001, University of Otago (2001) 150 pages

12. Gedeon, T., P.Wong, S.Halgamuge, N.Kasabov, D.Nauck, and K.Fukushima (eds) ICONIP’99-Proceedings of the 6^th International Conference on Neural Information Processing, 16-20 November 1999, Perth, IEEE Press (1999), Vol. I & II, 842 pages

13. Kasabov, N., and K.Ko, (eds) Emerging Knowledge Engineering and Connectionist-based Information Systems. Proceedings of the ICONIP/ANZIIS/ANNES’99 Workshop “Future directions for intelligent systems and information sciences, Dunedin, 22-23 Nov.1999, University of Otago (1999)  

14. Kasabov, N., Kozma, R., O’Shea, R., Ko, K., Coghill, G., and Gedeon, T., (eds)  Advances in Connectionist-Based Information Systems. Proceedings  of  the International Conference on Neural Information Processing ICONIP’97, Springer Verlag Singapore (1998), 1550 pages

15. Kasabov, N. and Coghill, G. (eds) Proceedings of the Second New Zealand International Conference on Artificial Neural Networks and Expert Systems, ANNES'95, Dunedin, IEEE Computer Society Press, Los Alamitos (1995) 401 pages 

16. Kasabov, N. (ed.) The First New Zealand International Conference on Artificial Neural Networks and Expert Systems, Proceedings of ANNES'93 Dunedin, IEEE Computer Society Press (1993) 346 pages 

(b)  Book Chapters

1.     S Ozawa, S Pang and N Kasabov, Incremental Learning for On-line Pattern Classification Systems, in: P.Angelov, D.Filev, and N.Kasabov (eds) Evolving intelligent systems, IEEE Press and Wiley, 2008

2.     N Kasabov, V Jain, L Benuskova, P Gottgtroy and F Joseph,  Integration of Brain-Gene Ontology and Simulation Systems for Learning, Modelling and Discovery, In: Computational Intelligence in Medical Informatics, Series: Studies in Computational Intelligence, Vol. 85, Editors: Arpad Kelemen, Ajith Abraham, Yulan Liang, ISBN: 978-3-540-75766-5, 2008

3.     N Kasabov, Q Song,  L Benuskoval, P Gottgtroy, V Jain,  A Verma, I Havukkala,  E Rush, R Pears, A Tjahjana, Y Hu, S MacDonel, Integrating Local and Personalised Modelling with Global Ontology Knowledge Bases for Biomedical and Bioinformatics Decision Support, in: Smolin et al (eds) Computational Intelligence in Bioinformatics, Springer, 2008

4.     Ravi, V., Kumar, P.R, Srinivas, E.R., Kasabov, N.K. A Semi-Online Training Algorithm for Radial Basis Function Neural Networks: Application to Bankruptcy Prediction in Banks, Chapter XV in: V.Ravi (ed) Advances in Banking Technology and Management, Information Science Reference, Hashley-New York, pp. 243-260  

5.     N.Kasabov, Brain-, Gene-, and Quantum Inspired Computational Intelligence: Challenges and Opportunities, in: W. Duch and J. Manzduk (eds) Challenges in Computational Intelligence, Springer, 2007 ISBN: 978-3-540-71983-0, 193-219

6.     Gottgtroy P., Kasabov N., Macdonell S., Evolving Ontologies for Intelligent Decision Support, Elsevier, Fuzzy Logic And The Semantic Web, Chapter 21, pp 415-439, 2006

7.     Kasabov, N. , Liang Goh and Mike Sullivan, Integrated Prognostic Profiles: Combining Clinical and Gene Expression Information through Evolving Connectionist Approach, Chapter 10, in: Bajic. V and Tan Tin Wee (eds), Information Processing and Living Systems, Imperial College Press, Singapore, 2005, 695-706.

8.     Kasabov, N. , Zeke Chan, Vishal Jain, Igor Sidorov and Dimiter Dimitrov, Computational Modelling of Gene Regulatory Networks, Chapter 8, in: Bajic., V and Tan Tin Wee (eds), Information Processing and Living Systems, Imperial College Press, Singapore, 2005, 673-686.

9.     Kasabov, N., Z.Chan, Q.Song and D.Greer, Evolving neuro-fuzzy systems with evolutionary parameter self-optimisation, chapter in: Do Adaptive Smart Systems exist? Springer Verlag, Series Study in Fuzziness, vol.173, 2005

10. Kasabov N., and L. Benuskova,  Theoretical and Computational Models for Neuro-, Genetic-, and Neuro-Genetic Information Processing, in: M. Rieth and W. Sommers (eds) Handbook of Theoretical and Computational Nanotechnology, Vol. X pp 1-38, American Scientific Publisher, 2005

11. Dimitrov, D. S., Igor A. Sidorov and Nikola Kasabov Computational Biology, in: M. Rieth and W. Sommers (eds) Handbook of Theoretical and Computational Nanotechnology, Vol. 1 (1) American Scientific Publisher, Chapter 21,2004

12. Kasabov, N. and D. Dimitrov, Discovering gene regulatory networks from gene expression data with the use of evolving connectionist systems, chapter in: L.Wang and Rajapakse (eds) Neural Information Processing, Volume 152,  Springer Verlag, 2004

13. Kasabov, N. Evolving Connectionist-based Decision Support Systems, in: X.Yu, J.Kacprzyk (eds), Applied Decision Support with Soft Computing, series: Studies in Fuzziness and Soft Computing, vol. 124, Springer (2003).

14. Kasabov, N.  Decision support systems and expert systems, in: M. Arbib (ed) Handbook of brain study and neural networks, MIT Press (2003).

15. Kasabov, N. Brain-like functions in evolving connectionist systems for on-line, knowledge-based learning, in: T. Kitamura (ed) What should be Computed to Understand and Model Brain Functions, FLSI Soft Computing Series, Volume 3, World Scientific (2001), 77-113.

16. Kasabov N., and G. Iliev, A methodology and a system for adaptive speech recognition in a noisy environment based on adaptive noise cancellation and evolving fuzzy neural networks, in: Neuro-Fuzzy Pattern Recognition, H. Bunke and A. Kandel, eds., World Scientific 2000, 179-203.

17. Kasabov, N., Evolving and Evolutionary Connectionist Systems for On-Line Learning and Knowledge Engineering in: Peter Sincak, Jan Vascak (eds) Quo Vadis Computational Intelligence? New Trends and Approaches in Computational Intelligence, Physica-Verlag, 2000, 361-369

18. Iliev, G. and Kasabov, N., Dual-Tone Multiple Frequency Detection Using Adaptive Filters and Neural Network Classifiers in: P. Sincak, J. Vascak, V. Kvasnicka, R. Mesiar (eds) The State of the Art in Computational Intelligence, Physica-Verlag, 2000, 302-307

19. Kasabov, N., Erzegovezi, L, Fedrizzi, M, Beber, A, and Deng, D, Hybrid Intelligent Decision Support Systems and Applications for Risk Analysis and Prediction of Evolving Economic Clusters in Europe, in: N. Kasabov (ed) Future directions for intelligent information systems and information sciences, Springer Verlag, 2000, 347-372

20. Kasabov, N., Evolving connectionist systems – the new-Old AI Paradigm, in: N. Kasabov (ed) Future directions for intelligent information systems and information sciences, Springer Verlag, 2000, 3-12

21. Taylor, J. and Kasabov, N, Modelling the Emergence of Speech and Language through Evolving Connectionist Systems, in: N. Kasabov (ed) Future directions for intelligent information systems and information sciences, Springer Verlag, 2000, 102-126

22. Swope, J.A., Kasabov, N., and Williams, M., Neuro-fuzzy modelling of heart rate signals and applications to diagnostics, in: P.S. Szczepaniak, P.J.G. Lisboa, J. Kacprzyk, (eds), Fuzzy Systems in Medicine, Physica Verlag (2000) 519-542

23. Kasabov, N. and Kozma, R. Multi-scale analysis of time series based on neuro-fuzzy-chaos methodology applied to financial data. in: A. Refenes, A. Burges, and B. Moody, (eds) Computational Finance 1997, Kluwer Academic (1999), ISBN 0-7923-8308-7

24. Kasabov, N., Israel, S., and Woodford, B.J., Methodology and evolving connectionist architecture for image pattern recognition, in: Pal, Ghosh and Kundu (eds) Soft Computing and Image Processing, Heidelberg, Physica-Verlag (Springer Verlag) (1999), 318-336

25. Kasabov, N. Evolving connectionist and fuzzy connectionist systems – theory and applications for adaptive, on-line intelligent systems, in: Neuro-Fuzzy Techniques for Intelligent Information Systems, N. Kasabov and R.Kozma, (eds) Heidelberg, Physica  Verlag (1999) 111-146 

26. Kasabov, N., Kozma, R., Kilgour, R., Laws, M., Taylor, J., Watts, M., and Gray, A. Hybrid connectionist-based methods and systems for speech data analysis and phoneme-based speech recognition. in: Neuro-Fuzzy Techniques for Intelligent Information Systems, N. Kasabov and R. Kozma, (eds) Heidelberg, Physica  Verlag (1999) 241-264 

27. Watts, M., and Kasabov, N., Neuro-genetic tools and techniques, in: Neuro-Fuzzy Techniques for Intelligent Information Systems, N. Kasabov and R. Kozma, (eds) Heidelberg, Physica Verlag (1999) 97-110

28. Kasabov, N., Evolving connectionist and fuzzy connectionist systems for on-line adaptive decision making and control, in: Advances in Soft Computing - Engineering Design and Manufacturing, R. Roy, T. Furuhashi and P.K. Chawdhry (eds.) Springer-Verlag, London Limited, 1999 [ISBN 1-85233-062-7] 638 pages

29. Kozma, R. and Kasabov, N., Generic neuro-fuzzy-chaos methodologies and techniques for intelligent time-series analysis. in: Soft Computing in Financial Engineering. R. Ribeiro, R.Yager, H. J. Zimmermann and J. Kacprzyk (eds) Heidelberg, Physica-Verlag (1999) 

30. Kasabov, N., Advanced Neuro-Fuzzy Engineering for Building Intelligent Adaptive Information Systems. in: Fuzzy Systems Design: Social and Engineering Applications. L.Reznik, V.Dimitrov and J.Kacprzyk (eds) Heidelberg, Physica-Verlag (1998) 249-262

31. Kasabov, N. A framework for intelligent conscious machines and its application to multilingual speech recognition systems, in: Brain-like computing and intelligent information systems. S. Amari and N. Kasabov (eds) Singapore, Springer Verlag (1998) 106-126

32. Kozma, R. and Kasabov, N., Chaos and fractal analysis of irregular time series embedded into connectionist structure, in: Brain-like computing and intelligent information systems. S. Amari and N. Kasabov (eds) Singapore, Springer  Verlag (1998) 213-237

33. Kasabov, N., Kozma, R. Neuro-fuzzy-chaos engineering for building intelligent adaptive information systems. In: Intelligent Systems: Fuzzy Logic, Neural Networks and Genetic Algorithms. Da Ruan ed., Boston/London/Dordrecht, Kluwer Academic Publishers (1997) 213-237

34. Kasabov, N. and Clarke, G. A template-based implementation of connectionist knowledge based systems for classification and learning, in: Advances in Neural Networks, Vol.3. O. Omidvar (ed) New Jersey, Ablex Publishing Company (1995) 137-156

35. Kasabov, N., Building comprehensive AI and the task of speech recognition, in: Applications of Neural Networks to Telecommunications, 2.  J. Alspector, R. Goodman and T. Brown (eds) New Jersey, Laurence Erlbaum (1995) 178-187

36. Kasabov, N., and Nikovski, D. Prognostic expert systems on a hybrid connectionist environment, in: Artificial Intelligence V Methodology, Systems, Applications, B. du Boulay and V.Sgurev (eds) Amsterdam, North Holland (1992) 141-148

37. Kasabov N., Hybrid connectionist rule based systems, in: Artificial Intelligence IV Methodology, Systems, Applications, P. Jorrand and V. Sgurev (eds) Amsterdam, North?Holland (1990) 227? 235

38. Kasabov, N, and Demirev, G., Neural networks and genetic algorithms, in: Izkustven Intelect, I. Popchev and L. Dakovski (eds) Sofia, Technika (1990) 200-210 (in Bulgarian)

39. Stankulova, B., Dakovski, L., Pavlov, R and Kasabov, N. Intelligent tutoring systems, in: Izkustven Intelect, I. Popchev and L. Dakovski (eds), Sofia, Technika (1990) 281-290 (in Bulgarian)

(c)   Refereed Journal Articles

1.     Atkinson KR, Blumenstein M, Black MA, Wu SH, Kasabov N, Taylor RS, Cooper GJS, North RA An altered pattern of circulating apolipoprotein E3 isoforms is implicated in preeclampsia. J Lipid Res (2008)

2.  N.Kasabov, Evolving Intelligence in Humans and Machines: Integrative Connectionist Systems Approach, Feature article, IEEE CIS Magazine, August, 2008, vol.3, Num.3, www.ieee.cis.org, pp. 23-37

3.     N.Kasabov, Adaptive Modelling and Discovery in Bioinformatics: The Evolving Connectionist Approach, International Journal of Intelligent Systems, vol.23 (2008) 545-555

4.  N.Kasabov, Integrative Connectionist Learning Systems Inspired by Nature: Current Models, Future Trends and Challenges, Natural Computing, Int. Journal, Springer, 2008,

5.     S.Pang, N.Kasabov, Encoding and Decoding the Knowledge of Association Rules over SVM Classification Trees, Knowledge and Information Systems -  Int. Journal, Springer, June  2008

6.     S.Wysoski, L.Benuskova, N.Kasabov, Fast and Adaptive Network of Spiking Neurons for Multi-view Visual Pattern Recognition, Neurocomputing, Elsevier, 2008

7.      Kasabov, N., V.Jain, L.Benuskova, Integrating brain-gene ontology with evolving connectionist  system for modelling and discovery, Neural Networks, 21 (2008), 266-275

8.     M. Defoin-Platel, S.Schliebs, N.Kasabov, Quantum-inspired Evolutionary Algorithm: A multi-model EDA, IEEE Trans. Evolutionary Computation, 2008     

9.      Zeke S. H. Chan, I.Havukkala, V.Jain, Y. Hu and N.Kasabov, Soft Computing Methods to predict Gene Regulatory Networks: An Integrative approach on Time-Series Gene Expression Data, Applied Soft Computing, Volume 8,  Issue 3,  June 2008, 1189-1199

10. S Ozawa, S Pang and N Kasabov, Incremental Learning of Chunk Data for On-line Pattern Classification Systems, IEEE Transactions of Neural Networks, vol.19, no.6, June 2008, 1061-1074,

11. L.Benuskova and N.Kasabov,  Modelling Brain Dynamics Using Computational Neurogenetic Approach, Cognitive Neurodynamics, Springer, vol.2, Num.4, 319-334, December,2008

12. S.Wysoski, L.Benuskova, N.Kasabov, Evolving Spiking Neural Networks for Audi-Visual Information Processing, Neural Networks, submitted, 2008

13. Huang, L., Q.Song and N.Kasabov, Evolving connectionist system based role allocation for robotic soccer, Int. J. Advanced Robotic Systems, Vol. 5, Number 1, March 2008, 59-62

14. N.Kasabov, Global, local and personalised modelling and profile discovery in Bioinformatics: An integrated  approach, Pattern Recognition Letters, Vol. 28, Issue 6 , April 2007, 673-685

15.  Chan Zeke S.H., Lesley Collins and N. Kasabov Bayesian learning of sparse gene regulatory networks, Biosystems, Volume 87, Issues 2-3, February 2007, Pages 299-306

16. N.Kasabov, V. Jain, P. Gottgtroy, L. Benuskova, and F.Joseph,  Brain gene ontology and simulation system (BGOS) for a better understanding of the brain. Cybernetics and Systems, June 2007, Vol. 38 (5), pp 495-508, 2007

17. Benuskova L, Kasabov N, Modeling L-LTP based on changes in concentration of pCREB transcription factor, Neurocomputing, Volume 70, Issues 10-12, June 2007, Pages 2035-2040, ISSN: 0925-2312, 2007

18. S.Pang, I.Havukkala, Y.Hu, N.Kasabov, Classification consistency analysis for bootstrapping gene selection, Neural Computing & Applications, Springer, Volume 16, Number 6, p.p.527-539, 2007

19.  Yu-Hsin Lin, Jan Friederichs, Michael A. Black, Jörg Mages, Robert Rosenberg, Parry J. Guilford1, Vicky Phillips, Mark Thompson-Fawcett, Nikola Kasabov, Tumi Toro, Arend E. Merrie, Andre van Rij, Han-Seung Yoon, John L. McCall, Jörg Rüdiger Siewert, Bernhard Holzmann and Anthony E. Reeve, Multiple Gene Expression Classifiers from Different Array Platforms Predict Poor Prognosis of Colorectal Cancer, Clinical Cancer Research 13, 498-507, January 15, 2007

20. Zeke S.H. Chan, H.W. Ngan, A.B. Rad, A.K. David and N. Kasabov Short-term ANN load forecasting from limited data using generalization learning strategies, Neurocomputing, Volume 70, Issues 1-3, December 2006, Pages 409-419

21. Song, Q. and Kasabov, N. TWNFI- a transductive neuro-fuzzy inference system with weighted data normalisation for personalised modelling, Neural Networks, Vol.19, Issue 10, Dec. 2006, pp. 1591-1596

22. Benuskova L, Jain V, Wysoski SG and Kasabov N, Computational neurogenetic modeling: a pathway to new discoveries in genetic neuroscience. Intl. Journal of Neural Systems, 16(3): 215-227, 2006.

23.  Gevrey, M., Sue Worner, Nikola Kasabov, Joel Pitta and Jean-Luc Giraudel, Estimating Risk of Events Using SOM Models: A Case Study on invasive species establishment, Ecological Modelling, 197, 2006, 361-372

24.  Kasabov, N. Adaptation and Interaction in Dynamical Systems: Modelling and Rule Discovery Through Evolving Connectionist Systems, Applied Soft Computing, 2006, Volume 6, Issue 3, pages 307-322.

25. Song, Q. , N. Kasabov, T. Ma, M. Marshall, Integrating regression formulas and kernel functions into locally adaptive  knowledge-based neural networks: a case study on renal function evaluation, Artificial Intelligence in Medicine, 2006, Volume 36, pp 235-244

26. Ozawa, S., S. Pang and N. Kasabov, Online Feature Selection for Adaptive Evolving Connectionist Systems, International Journal of Innovative Computing, Information and Control, Volume 2, No. 1, 2006  pp181-192

27. Ozawa, S., Shaoning Pang and Nikola Kasabov, Incremental learning of feature space and classifier for on-line pattern recognition, International Journal of Knowledge based and Intelligent Engineering Systems, Volume 10, 2006, pp 57-65

28. Chan, Z., Lesley Collins,  N.Kasabov, An Efficient Greedy K-means Algorithm for Global Gene Trajectory clustering, Expert Systems with Applications: An International Journal. Volume 30, Issue 1, January 2006, Pages 137-141.

29.  Chan, Z.,N.Kasabov, Lesley Collins, A Two-Stage Methodology for Gene Regulatory Network Extraction from Time-Course Gene Expression Data, Expert Systems with Applications: An International Journal, Volume 30, Issue 1, January 2006, Pages 59-63. 

30.  Tsankova, D., Georgieva, V., Kasabov, N., Artificial Immune Networks as a Paradigm for Classification and Profiling of Gene Expression Data, Journal of Computational and Theoretical Nanoscience, Volume 2, Number 4, December 2005, pp. 543-550(8)

31.  Kasabov, N , I.A. Sidorov, D S Dimitrov, Computational Intelligence, Bioinformatics and Computational Biology: A Brief Overview of Methods, Problems and Perspectives, Journal of Computational and Theoretical Nanoscience, Vol. 2 No. 4, pp 473-491, 2005

32.  Kasabov N and Boeva V (2005) Bioinformatics: Challenges and opportunities for information science and knowledge engineering, Information Technologies and Control, No.4, 11-18

33.  Havukkala I, Pang S, Jain V, Kasabov N, Classifying MicroRNAs by Gabor Filter Features from 2D Structure Bitmap Images on a Case Study of Human microRNAs, Journal of Theoretical and Computational Nanoscience, Volume 2, No. 4, ppp 506-513,  2005

34.  Kasabov, N., L.Benuskova, and S. Wysoski, Biologically Plausible Computational Neurogenetic Models: Modeling the Interaction Between Genes, Neurons and Neural Networks, Journal of Computational and Theoretical Nanoscience, Volume 2, Number 4, December 2005, pp. 569-573(5) ISSN: 1546-1963

35. Chan S.H., Kasabov N., Fast Neural Network Ensemble Learning via Negative-Correlation Data Correction, IEEE Transaction on Neural Networks 2005, Volume 16, Issue 6, pp 1707-1710

36. Pang, S., S. Ozawa and N. Kasabov, Incremental Linear Discriminant Analysis for Classification of Data Streams, IEEE Trans. SMC-B, vol. 35, No. 5, 2005, 905 – 914

37. Goh, L, N.Kasabov, An integrated feature selection and classification method to select minimum number of variables on the case study of gene expression data, J. of Bioinformatics and Computational Biology, Imperial College Press and World Sci. Publ., vol.3, N. 5,  pp 1107-1136, 2005

38. Song Q. and N. Kasabov, NFI: A Neuro-Fuzzy Inference Method for Transductive Reasoning,  IEEE Transactions on Fuzzy Systems, Volume 13, Issue 6, pp 799-808, 2005.

39. Chan, Z. and N.Kasabov, A Preliminary Study on Negative Correlation Learning via Correlation-Corrected Data (NCCD), Neural Processing Letters, Springer,  Volume 21, Issue 3, pp, 207-214, 2005

40. Ozawa, S., S.Too, S.Abe, S. Pang and N. Kasabov, Incremental Learning of Feature Space and Classifier for Online Face Recognition, Neural Networks, August, 2005, pp 575-584

41. Marshall, M.R. , Q. Song, T.M. Ma, S. MacDonell, N.Kasabov, Evolving Connectionist System versus Algebraic Formulae for Prediction of Renal Function from Serum Creatinine, Kidney International, vol. 67 (2005), pp. 1944 – 1954

42. Chan, S. Z. , N.Kasabov and L.Collins, A hybrid genetic algorithm and expectation maximization method for global gene trajectory clustering, Journal of Bioinformatics and Computational Biology, Imperial College Press and World Scie. Publ., vol.3 No.5,  pp 1227-1242, 2005

43. Kasabov, N. Knowledge based neural networks for gene expression data analysis, modelling and profile discovery, Drug Discovery Today: BIOSILICO, vol. 2, No. 6, November 2004, pp. 253-261.

44. Chan S. and N.Kasabov, Efficient global clustering using the greedy elimination method, Electronic  Letters,  vol. 40, No. 25,  1611 - 1612, 2004, 

45. Kasabov N. and S. Pang, Transductive Support Vector Machines and Applications in Bioinformatics for Promoter Recognition, Neural Information Processing - Letters and Reviews 3(2), KAIST Press, pp.31-38., 2004

46. Kasabov N. and L. Benuskova, Computational Neurogenetics, International Journal of Theoretical and Computational Nanoscience, Vol. 1 (1) American Scientific Publisher, 2004, 47-61.

47. Chan Z.and N.Kasabov, Evolutionary computation for on-line and off-line parameter tuning of evolving fuzzy neural networks, Int. J. of Computational Intelligence and Applications, Imperial College Press, vol. 4, N.3, September 2004, 309-319

48. Futschik, M. , M. Sullivan, A. Reeve, N. Kasabov, Prediction of clinical behaviour and treatment of cancers, Applied Bioinformatics, vol.3, 2003, 553-558

49. Cohen, T., D.Hegg, Mde Michele, Q.Song, and N. Kasabov, An intelligent controller for automated operation of sequencing batch reactors, Water Science & Technology, IWA Publishing, Vol 47, No 12 (2003) 57–63

50. Futschik, M., A.Reeve, and Kasabov, N. Evolving connectionist systems for knowledge discovery from gene expression data of cancer tissue, Artificial Intelligence in Medicine, 28 (2003) 165-189

51. Kasabov, N. , Spoken Language Analysis, Modeling And Recognition – Statistical And Adaptive Connectionist Approaches, Preface to a Special Issue of Information Sciences 2003, Volume 156 Numbers 1-2

52. Laws, M., R. Kilgour and N. Kasabov, Modelling the emergence of bilingual acoustic clusters: a preliminary case study, Information Sciences, 156 (2003) 85-107 

53. Abdulla W., and N. Kasabov, Reduced feature-set based parallel CHMM speech recognition systems, Information Sciences, 156 (2003) 23-38

54. Ghobakhlou A., M. Watts and N. Kasabov, Adaptive speech recognition with evolving connectionist systems, Information Sciences, 156 (2003) 71-83

55. Rizzi., L. , Flavio Bazzana, Nikola Kasabov, Mario Fedrizzi and Luca Erzegovesi (2003). Simulation of ECB decisions and forecast of short term Euro rate with an adaptive fuzzy expert system. European Journal of Operational Research. 145 (2003) 363-381

56. Deng, D., N. Kasabov, On-line pattern analysis by evolving self-organising maps, Neurocomputing , Volume 51, April (2003)  87-103

57. Futschik, M., A.Jeffs, S.Pattison, N.Kasabov, M.Sullivan, A.Merrie, A.Reeve, Gene expression profiling of metastatic and non-metastatic colorectal cancer cell-lines, Genome Letters, vol.1, No.1 (2002) 1-9 

58. Kasabov, N., Evolving Fuzzy Neural Networks for Supervised/Unsupervised On-Line, Knowledge-Based Learning, IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, Vol. 31, No. 6, December (2001) 902-918.

59. Kasabov, N., Artificial Neural Networks for Intelligent Information Processing, Transactions of Chemical Engineering, London, June 2001, 27-28

60. Kasabov, N., and Song, Q., DENFIS: Dynamic Evolving Neural-Fuzzy Inference System and its Application for Time Series Prediction, IEEE Transactions on Fuzzy Systems, Vol. 10, 2, April, (2002) 144-154

61. Kasabov, N. On-line learning, reasoning, rule extraction and aggregation in locally optimised evolving fuzzy neural networks, Neurocomputing, 41 (2001) 25-41

62. Kim, J., A. Mowat, P. Poole, and N. Kasabov, Linear and non-linear pattern recognition models for classification of fruit from visible-near infrared spectra, Chemometrics and intelligent laboratory systems, 51 (2000) 201-216

63. Kasabov, N., Israel, S., and Woodford, B.J., Hybrid evolving connectionist systems for image classification, Journal of Advanced Computational Intelligence, vol.4, 1, (2000) 57-65

64. Kasabov, N., Postma, E. and van den Herik, J. AVIS: a connectionist-based framework for integrated auditory and visual information processing, Information Sciences, vol. 123, (2000) 127-148

65. Kasabov, N., and Kozma, R., Methods and systems for intelligent human computer interaction – Editorial, Information Sciences, vol. 123 (2000) 1-2

66. Brown, C., Jacobs, G., M.Schreiber, J.Magnum, J.McNaughton, M.Cambray, M.Futschik, L.Major, O.Rackham, W.tate, P.Stockwell, C.Thompson, and N.Kasabov, Using bioinformatics to investigate post-trascriptional control of gene expression, NZ Bio Science, vol. 7, 4 (2000)11-12

67. Kim, J.S. and Kasabov, N. HyFIS: adaptive neuro-fuzzy systems and their application to non-linear dynamical systems, Neural Networks, vol. 12, 9 (1999) 1301-1319

68. Kasabov, N., Kilgour, R. and Sinclair, S. From hybrid adjustable neuro-fuzzy systems to adaptive connectionist-based systems for phoneme and word recognition. Fuzzy Sets and Systems, vol.130, 2 (1999) 349-367

69. Purvis, M., Kasabov, N., Benwell, G., Zhou, Q., and Zhang, F. Neuro-fuzzy methods for Environmental Modelling, System Research and Information Systems, vol.8, 4 (1999) 221-239

70. Kasabov, N. Evolving fuzzy neural networks: Theory and Applications for on-line adaptive prediction, decision making and control, Australian Journal of Intelligent Information Processing Systems, vol.5, 3 (1998) 154-160

71. Kasabov, N. Connectionist-based information systems: Methods and applications (Guest editorial), Australian Journal of Intelligent Information Processing Systems, vol.5, 3 (1998) 153

72. Kasabov, N., Kim, J.S. and Kozma, R. A Fuzzy neural network for knowledge acquisition in complex time series, International Journal of Control and Cybernetics, vol.4, 27 (1998) 594-611

73. Kasabov, N. The ECOS framework and the 'eco' training method for evolving connectionist systems. Journal of Advanced Computational Intelligence vol.2, No.6, (1998) 195-202

74. Kasabov, N. and Kozma, R. Self-organisation and adaptation in intelligent systems – preface,  Journal of Advanced Computational Intelligence vol.2, No.6, (1998) 177

75. Kasabov, N. and Kozma, R. Hybrid intelligent adaptive systems: a framework and a case study on speech recognition, International Journal of Intelligent Systems vol.13, 6 (1998) 455-466 

76. Kasabov, N. and Kozma, R. Introduction: Hybrid intelligent adaptive systems. International Journal of Intelligent Systems vol.13, 6 (1998)  453-454

77. Kozma, R., Kasabov, N., Kim, J. and Cohen, T. Integration of connectionist methods and chaotic time series analysis for the prediction of environmental process data. International Journal of Intelligent Systems vol.13, 6 (1998) 520-538 

78. Kasabov, N. Fuzzy neural networks, rules extraction and fuzzy synergistic reasoning. Systems Research and Information Systems 8, 45-59 (1998) 

79. Israel, S. and Kasabov, N. Statistical, connectionist and fuzzy inference techniques for image classification. Journal of Electronic Imaging 6 (3):1-11 (1997) 

80. Kasabov, N., Kim, JS, Watts, M. and Gray, A. FuNN/2 - A fuzzy neural network architecture for adaptive learning and knowledge acquisition. Information Sciences 101(3-4): 155-175  (1997)

81. Kasabov, N. and Hirota, K. Special issue on advanced neuro-fuzzy techniques and their applications: introduction. Information Sciences 101(3-4): 153-154 (1997)

82. Kasabov, N. Learning strategies for modular neuro-fuzzy systems: a case study on phoneme-based speech recognition. Journal of Intelligent & Fuzzy Systems 5, 345-354 (1997)

83. Cohen, T. and Kasabov, N. Application of computational intelligence for on-line control of a Sequencing Batch Reactor (SBR) at Morrinsville Sewage Treatment Plant Water Science Technology, vol.35, No.10, 63-73 (1997)

84. Kasabov, N. Adaptable connectionist production systems. Neurocomputing 13(2-4):95-117  (1996) 

85. Kasabov, N. Fril - fuzzy and evidential reasoning in artificial intelligence (a book review). Journal of the American Society for Information Science. 47 (10):790-791 (1996)

86. Kasabov, N. Learning fuzzy rules and approximate reasoning in fuzzy neural networks and hybrid systems. Fuzzy Sets and Systems 82(2):2-20 (1996)

87. Kasabov, N., Purvis, M., Zhang, F., and Benwell, G. Neuro-fuzzy engineering for spatial information processing. Australian Journal of Intelligent Information Processing Systems 3(2): 35-44 (1996) 

88. Israel, S. and Kasabov, N. Improved learning strategies for multimodular fuzzy neural network systems: A case study on image classification. Australian Journal of Intelligent Information Processing Systems 3(2): 62-70 (1996)

89. Kasabov, N., Lavington S., Li S. and Wang C. A model for exploiting parallel associative matching in AI production systems. Knowledge-Based Systems 8 (1): 1-7 (1995)

90. Kasabov, N. Hybrid connectionist fuzzy systems for speech recognition. Lecture Notes in Computer Science/ Artificial Intelligence 1011:19-33 (1995)

91. Kasabov, N. Hybrid Connectionist Fuzzy Production Systems - Towards Building Comprehensive AI. Intelligent Automation and Soft Computing 1(4): 351-360 (1995)

92. Kasabov, N. Connectionist fuzzy production systems. Lecture Notes in Computer Science/ Artificial Intelligence 847:114-128 (1994)

93. Kasabov, N. Hybrid connectionist production systems. Journal of Systems Engineering 3(1): 15-21 (1993)

94. Kasabov, N. and Shishkov, S. A connectionist production system with partial match and its use for approximate reasoning. Connection Science 5(3/4): 275-305 (1993)

95. Kasabov, N. Incorporating neural networks into production systems and a practical approach towards the realisation of fuzzy expert systems. Computer Science and Informatics 21(2): 26-34 (1991)

96. Kasabov, N. Neural networks and genetic algorithms. Avtomatika i Informatika, 8/9:51-60 (1990) (in Bulgarian)

97. Kasabov, N. and Nikolaev, N. Parallel production systems. Avtomatika i Informatika, 7:37-45 (1990) (in Bulgarian)

98. Kasabov, N. Functionally reconfigurable general purpose parallel machines and some image processing and pattern recognition applications. Pattern Recognition Letters, 3:215-223 (1985)

99. Kasabov, N. A method for SIMD/MIMD functionally reconfigurable multi-microprocessor system design and parallel data exchange algorithms. Parallel Computing, 2:73-78 (1985)

100.Kasabov, N. A general approach to parallel processing in homogeneous multi-register, multi-processor and commutation structures. Computers and Artificial Intelligence 2(4): 349-359 (1983)

101.Kasabov, N. A multi- microprocessor system with a functional reconfiguration and parallel computations. Avtomatika i Ischislitelna Technika, 1:38-46 (1983) (in Bulgarian)

102.Karaivanova, M., Kasabov, N. and Hristov I. Predicting the scope of effect of anti-cancer medicines. Experimentalnaja Oncologija 5(1): 51-54 (1983) (in Russian)

103.Kasabov, N. Register commutation structures and algorithms for data exchange in multi-microprocessor systems. Avtomatika i Ischilitelna Technika,  5:17-24 (1983) (in Bulgarian)

104.Karaivanova, M., and Kasabov, N. Experimental Tumours as Prognostic Systems for Determining the Antitumour effect, Comptes rendus de l'Academie Bulgare des Sciences 35(11): 1595 –1598 (1983)

105.Kasabov, N., Bidjev, G. and Jechev, B. Hierarchical discrete systems and the realisation of parallel algorithms. Lecture Notes in Computer Science, 111:415-422 (1981)

106.Karaivanova, M. and Kasabov, N. On the selection of tumour models for the screening of anti-tumour substances (AS). Comptes rendus de l'Academie Bulgare des Sciences 34(2): 299-302 (1981)

107.Kasabov, N., Method and algorithm for permutation of data records, Systemi i Upravlenie, Bulgaria, 1: 39 – 43 (1981) (in Bulgarian)

108.Kasabov, N. and Bidjev, G. Minimal representation of the symmetrical group close to the compact one. Cybernetika, (translated in English as “Cybernetics”), 3:135-136 (1980) (in Russian)

109.Kasabov, N., and Dakovski, L. Program and algorithm for the generation of algebraic transformations. Systemi i Upravlenie,  4: 25-28 (1979) (in Bulgarian)

110.Kasabov, N. Generating the symmetrical semi-group and the symmetrical group by using generating systems with excess, University Annual Applied Mathematics XIV(1):35-42 (1978) Sofia (in Bulgarian)

111.Bijev, G. and Kasabov, N. On effective representations of classes of transformations and their finite automata interpretation. University Annual Applied Mathematics XIV(1):57-62 (1978) Sofia (in Bulgarian)

112.Kasabov, N. On the problem of generating the symmetrical group. University Annual Applied Mathematics X (3): 55-59 (1974) Sofia (in Bulgarian)

(d) Non-refereed Journal Articles

Dakovski, L., and Kasabov, N. An approach to coding of Moor automata. International Symposium "Applied aspects of the automata theory (1975), Bulgaria

(e)  Major Reviews

1.     Kasabov, N., Connectionist-based information systems, Report on a FRST funded project UOO606, University of Otago (1998) 600pages

2.     Kasabov, N. and Watson, C. Automatic Speech Recognition: methods, Tools and Their Application for Communication and Intelligent Information Systems, Report for TELECOM NZ, Department of Information Science, University of Otago, 1994, 100 p

3.     Kasabov, N. Connectionist knowledge based expert systems. in: Connectionism & AI. P.Braspenning, J.Taylor, P.Gallinary and N.Kasabov (eds) Lecture Notes of the Summer School "ISAI'90", Albena, Bulgaria (1990) 364-402

4.     Andriesen, H. and Kasabov, N. Interconnection Strategies for Tightly Coupled Multi-processor Systems, Technical Report 85-10, Department of Mathematics and Informatics, Delft University of Technology, The Netherlands (1984) 20p

(f)  Publications in Refereed Conference Proceedings

1.     N. Kasabov, Neural-, genetic-, and quantum information processing: Towards integrative connectionist theory and systems, in: M.Koeppen, N.Kasabov, G.Coghill and M.Ishikawa (eds) Advances in neural Information Processing, Proc. of  ICONIP 2008, Auckland, NZ, Springer LNCS, 2009.

2.     Masayuki Hisada, Seiichi Ozawa, Kau Zhang, Shaoning Pang, and Nikola Kasabov, A Novel Incremental Linear Discriminant Analysis for Multitask Pattern Recognition Problems, in: M.Koeppen, N.Kasabov, G.Coghill and M.Ishikawa (eds) Advances in neural Information Processing, Proc. of  ICONIP 2008, Auckland, NZ, Springer LNCS, 2009.

3.     Seiichi Ozawa, Kazuya Matsumoto, Shaoning Pang, and Nikola Kasabov Incremental Principal Component Analysis Based on Adaptive Accumulation Ratio, in: M.Koeppen, N.Kasabov, G.Coghill and M.Ishikawa (eds) Advances in neural Information Processing, Proc. of  ICONIP 2008, Auckland, NZ, Springer LNCS, 2009.

4.     Anju Verma, Nikola Kasabov, Elaine Rush, and Qun Song, Ontology Based Personalized Modeling for Chronic Disease Risk Analysis: An Integrated Approach, in: M.Koeppen, N.Kasabov, G.Coghill and M.Ishikawa (eds) Advances in neural Information Processing, Proc. of  ICONIP 2008, Auckland, NZ, Springer LNCS,2009.

5.     Yingjie Hu, Qun Song, and Nikola Kasabov,  Personalized Modeling based Gene Selection for Microarray Data Analysis, in: M.Koeppen, N.Kasabov, G.Coghill and M.Ishikawa (eds) Advances in neural Information Processing, Proc. of  ICONIP 2008, Auckland, NZ, Springer LNCS, 2009.

6.     Stefan Schliebs, Michael Defoin Platel, and Nikola Kasabov, Integrated Feature and Parameter Optimization for an Evolving Spiking Neural Network, in: M.Koeppen, N.Kasabov, G.Coghill and M.Ishikawa (eds) Advances in neural Information Processing, Proc. of  ICONIP 2008, Auckland, NZ, Springer LNCS, 2009.

7.     Harya Widiputra, Russel Pears, and Nikola Kasabov, Personalised Modelling for Multiple Time-Series Data Prediction, in: M.Koeppen, N.Kasabov, G.Coghill and M.Ishikawa (eds) Advances in neural Information Processing, Proc. of  ICONIP 2008, Auckland, NZ, Springer LNCS, 2009.

8.     S.Soltic, S.Wysoski and N.Kasabov,  Evolving spiking neural networks for taste recognition, Proc.WCCI 2008, Hong Kong, IEEE Press, 2008

9.     P.Hwang, Q.Song, N.Kasabov, Multifunctional neuro-fuzzy inference systems, Proc. WCCI 2008, Hong Kong, IEEE Press, 2008

10. Y Hu, N Kasabov, Ontology-Based Framework for Personalized Diagnosis and Prognosis of Cancer Based on Gene Expression Data, ICONIP2007, Japan, 13-16 November 2007, LNCS, Part II, 4985, pp. 846-855,  Springer, 2008

11. Boris Bacic, Nikola Kasabov, Stephen MacDonell, Shaoning Pang, Evolving Connectionist Systems for Adaptive Sport Coaching, ICONIP2007, Japan, 13-16 November 2007, LNCS, Part II, pp.416-425,  Springer, 2008

12. Seiichi Ozawa, Shaoning Pang, Nikola Kasabov,  Adaptive Face Recognition System Using Fast Incremental Principal Component Analysis, ICONIP2007, Japan, 13-16 November 2007, LNCS, Part II, 4985, pp.396-405,  Springer, 2008

13. Wysoski, S., L Benuskova and N. Kasabov, Adaptive Spiking Neural Networks for Audiovisual Pattern Recognition,  ICONIP2007, Japan, 13-16 November 2007, LNCS, , Part II, pp.406-415 Springer, 2007

14. S Noki, S.Pang, N.Kasabov and T.Yamakawa, Curiosity driven on-line learning, Proc. ICONIP2007, Japan, 13-16 November 2007, LNCS, Springer, 2007

15.    S Wysoski, L Benuskova, N Kasabov, Text-independent Speaker Authentication with Spiking Neural Networks, Proc. ICANN 2007, LNCS, Springer, 2007

16.    M.Defoin-Platel, S.Schliebs, N.Kasabov, A versatile quantum inspired evolutionary algorithm, Proc. IEEE Congress on Evolutionary Computation, IEEE Press, 2007.

17. N Kasabov, VJain, P Gottgtroy, L Benuskova, S Wysoski, Evolving Brain-Gene Ontology System (EBGOS): towards Integrating Bioinformatics and Neuroinformatics Data to facilitate Discoveries, Frances Joseph International Joint Conference on Neural Networks, IJCNN, 2007, Orlando, IEEE Press, 2007

18. Kasabov, N., Brain-, gene-, and quantum inspired computational intelligence: Challenges and opportunities,  in: B.Reusch (ed) Computational Intelligence, Theory and Practice, Advances in Soft Computing, Springer, 521-544, 2006  

19. Kasabov, N., Neuro-, genetic-, and quantum inspired evolving intelligent systems, Proc. 2006 Int. Symposium on Evolving Fuzzy Systems, September 2006, UK, IEEE Press, 63-73, 2006  

20. Kasabov, N., Filev, D., Evolving intelligent systems, Proc. 2006 Int. Symposium on Evolving Fuzzy Systems, September 2006, Lake District, UK, IEEE Press, 8-18, 2006  

21. L. Benuskova, S. Wysoski,  and N. Kasabov,  Computational neuro-genetic modelling: A methodology to study gene interactions underlying neural oscillations, Proc. IJCNN 2006, IEEE Press, 2006, 

22.    Pang, Shaoning, Ilkka Havukkala, Nikola Kasabov, Two-Class SVM Trees (2-SVMT) for Biomarker Data Analysis, Lecture Notes in Computer Science, Volume 3973/2006, pp 629-634

23. Pang,  Shaoning, Nikola Kasabov, Investigating LLE Eigenface on Pose and Face Identification, Lecture Notes in Computer Science, Volume 3972/2006 pp 134-139

24. Wysoski,  S. L. Benuskova and N. Kasabov (2006)  On-line learning with structural adaptation in a network of spiking neurons for visual pattern recognition, in: Artificial Neural Networks - ICANN 2006, LNCS 4131, 61-70

25. Qun Song, Tian Min Ma and Nikola Kasabov, TTLSC – Transductive Total Least Square Model for Classification and Its Application in Medicine, Advanced Data Mining and Applications, Lecture Notes in Computer Science, Volume 4093, Pages 197-204, 2006

26.  Ilkka Havukkala, Lubica Benuskova, Shaoning Pang, Vishal Jain, Rene Kroon and Nikola Kasabov, Image and Fractal Information Processing for Large-Scale Chemoinformatics, Genomics Analyses and Pattern Discovery, Pattern Recognition in Bioinformatics, Lecture Notes in Computer Science, Volume 4146/2006, Pages 163-173, 2006

27. Song Q, Ma T, Kasabov N, Transductive Knowledge Based Fuzzy Inference System For Personalised Modeling, IFSA 2005, Beijing, pp 1097-1100

28. Chan, S. H. , Collins, L. , Kasabov, N. Bayesian Inference of Sparse Gene Network, In: Proc. The Sixth International Workshop on Information Processing in Cells and Tissues, St William's College, York, United Kingdom, August 30 - September 1, 2005, pp. 333 – 347

29. Pang, S. , Seiichi Ozawa, Nikola Kasabov, Chunk Incremental LDA Computing on Data Streams, Lecture Notes in Computer Science, Volume 3497, Jan 2005, pp.51-56

30. Chan, S. H. , Collins, L. , Kasabov, N. Global K Means Clustering of Gene Expression Data using the Greedy Elimination Method, In: Proc. The Sixth International Workshop on Information Processing in Cells and Tissues, St William's College, York, United Kingdom, August 30 - September 1, 2005 pp 405-415

31. Chan, S. H. , Kasabov, N. Global EM Learning of Finite Mixture Models using the Greedy Elimination Method, In: Proc. The twenty-fifth Annual International Conference of the British Computer Society's Specialist Group on Artificial Intelligence, Peterhouse College, Cambridge, UK, 12th-14th December 2005

32. Chan, S. H. , Kasabov, N. Fast Estimation of Distribution Algorithm (EDA) via Constrained Multi-Parent Recombination, In: Proc. The twenty-fifth Annual International Conference of the British Computer Society's Specialist Group on Artificial Intelligence, Peterhouse College, Cambridge, UK, 12th-14th December 2005

33. Kasabov, N. , L. Benuskova L and Wysoski SG (2005) Computational neurogenetic modeling: integration of spiking neural networks, gene networks, and signal processing techniques. In: ICANN 2005, LNCS 3697, W. Duch et al (Eds), Springer-Verlag, Berlin Heidelberg, pp. 509-514.

34. T. Ma, Q Song, M.R. Marshall, N Kasabov, TWNFC-Transductive Neural-Fuzzy Classifier with Weighted Data Normalization and Its Application in Medicine, CIMCA 2005, Austria

35. Q. Song, T.M. Ma, N.Kasabov, Transductive Knowledge Based Fuzzy Inference System for Personalized Modelling,  L.Wang and Y.Lin (eds): FSKD 2005, LNAI 3614, Springer-Verlag, Berlin- Heidelberg,  2005, pp. 528 – 535.

36. N. Kasabov, Global, Local and Personalised Modeling and Pattern Discovery in Bioinformatics: An Integrated Approach,  Proc. IEEE Int. Workshop on Soft Computing Applications - SOFA, 27-30.08.2005, Szeged-Arad, 2005, pp.56-67

37. Kasabov, N., L.Benuskova, S.Wysoski, A Computational Neurogenetic Model of a Spiking Neuron,  IJCNN 2005 Conf. Proc.,  IEEE Press, 2005, Volume 1, pp 446-451

38. Mohan, N. and N. Kasabov, Transductive Modelling with GA parameter optimisation, IJCNN 2005 Conf. Proceed., IEEE Press, 2005, Volume 2, pp 839-844

39. Huang, L., Song, Q., Kasabov, N., Evolving Connectionist Systems Based Role Allocation of Robots for Soccer Playing, Joint 2005 International Symposium on Intelligent Control & 13th Mediterranean Conference on Control and Automation (2005 ISIC-MED), June 27-29, 2005, Limassol, Cyprus

40. Angelov, P., N. Kasabov, Evolving Computational Intelligence Systems, In: (R. Alcala et al Eds.) Proc. of the I Workshop on Genetic Fuzzy Systems, Granada, March 17-19, 2005, pp.76-82, ISBN 84-689-1117-8

41. Kasabov, N. D Zhang, P S Pang, Incremental Learning in Autonomous Systems: Evolving Connectionist Systems for On-line Image and Speech Recognition, 2005 IEEE Workshop on Advanced Robotics and its Social Impacts, pp 120-125

42. Pang, S., N Kasabov, Inductive vs. Transductive Inference, Global vs. Local Models: SVM, TSVM and SVMT for Gene Expression , Proc. IEEE , IJCNN 2005

43. Kasabov, N., L.Benuskova, S.Wysoski, Computational Neurogenetic Modelling: Integration of spiking neural networks, gene networks, and signal processing techniques, Proc. IEEE Workshop on Biomedical Applications of Circuits and Systems, Singapore, 1-3 December 2004, IEEE Press

44. Kasabov, N. , Z. S.H. Chan, Igor Sidorov and Dimiter Dimitrov, Gene Regulatory Network Discovery for Time Series Gene Expression Data – A Computational Intelligence Approach, Lecture Notes in Computer Science, Vol.3316, 2004, Springer Verlag, 1344-1353.   

45. Chan, Z.S., N.Kasabov, and L. Collins, A two-stage methodology for gene regulatory network extraction from time-course gene expression data, Proc. IEEE Workshop on Biomedical Applications of Circuits and Systems, Singapore, 1-3 December 2004, IEEE Press

46. Ozawa, S., Shaoning Pang and Nikola Kasabov On-line Feature Selection for Adaptive Evolving Connectionist Systems, Fuzzy Systems & Innovation Computing, Kitakyushu Japan, 2004

47. Zhang, D. N. Kasabov, A. Ghobakhlou An Adaptive Model of Person Identification Combining Speech and Image Information,  in ICARCV 2004, Kunming, China

48. Gottgtroy P., Kasabov N. and MacDonell S., An ontology driven approach for knowledge discovery in Biomedicine, in: Proceedings of the Third Brazilian Symposium on Mathematical and Computational Biology Volume 1, R.Modaini (ed), Brazil, 2004

49. Gottgtroy P., Kasabov N. and MacDonell S., Building Evolving Ontology Maps for Data Mining and Knowledge Discovery, in: Proc. Pacific Rim International Conference on Artificial Intelligence, PRICAI, Auckland, August, 2004

50. Song, Q., Tianmin Ma and Nikola Kasabov LR-KFNN: Logistic Regression-Kernel Function Neural Networks and the GFR-NN Model for Renal Function Evaluation in International Conference on Computational Intelligence for Modelling, Control & Automation (CIMCA 2004), July 2004, Gold Coast, Australia.

51. Chan Z.S., and N. Kasabov, Gene Trajectory Clustering with a Hybrid Genetic Algorithm and Expectation Maximization Method, in: Proc. International Joint Conference on Neural Networks, IJCNN 2004, Budapest, 16-30 June 2004, IEEE Press

52. Pang S. and N. Kasabov, Inductive vs Transductive Inference, Global vs Local Models: SVM, TSVM, and SVMT for Gene Expression Classification Problems, in Proc. International Joint Conference on Neural Networks, IJCNN 2004, Budapest, 16-30 June 2004, IEEE Press

53. Q. Song and N. Kasabov, WDN-RBF: Weighted Data Normalization for Radial Basic Function Type Neural Networks, in: Proc. International Joint Conference on Neural Networks, IJCNN 2004, Budapest, 16-30 June 2004, IEEE Press

54. N. Kasabov, L. Benuskova and S. G. Wysoski, Computational Neurogenetic Modelling: Gene Networks within Neural Networks, in: Proc. International Joint Conference on Neural Networks, IJCNN 2004, Budapest, 16-30 June 2004, IEEE Press

55. L.Goh, Q. Song and N. Kasabov, A Novel Feature Selection Method to Improve Classification of Gene Expression Data, in: Proc. Second Asia-Pacific Bioinformatics Conference (APBC 2004), Dunedin, 18-22^nd January 2004,  Australian Computer Science Communications, Volume 26, Number 4 (161-166)

56. Soltic, S. , S.Pang, N.Kasabov, S. Worner and L.Peacock, Dynamic Neuro-fuzzy Inference and Statistical Models for Risk Analysis of Pest Insect Establishment, Lecture Notes of Computer Science, vol. 3316, Springer, 2004, 971-976.

57. Ghobakhlou, A., D. Zhang and N. Kasabov An Evolving Neural Network Model for Person Verification Combining Speech and Image, Lecture Notes of Computer Science, vol. 3316, Springer, 2004, 381-386.

58. Song Q. , and N. Kasabov, TWRBF – transductive RBF Neural Network with Weighted Data Normalization, Lecture Notes in Computer Science, Vol.3316, Springer Verlag, 2004, 633-640.

59. Q. Song, N. Kasabov, Weighted Data Normalization and Feature Selection for Evolving Connectionist Systems Proceedings, in: Proc. of the Eight Australian and New Zealand Intelligent Information Systems Conference ANZIIS, Sydney, Australia Dec. 2003 (285-290)

60. Q. Song, T. Ma and N. Kasabov, A Novel Generic Higher-Order TSK Fuzzy Model for Prediction and Applications for Medical Decision Support, in: Proc. of the Eight Australian and New Zealand Intelligent Information Systems Conference ANZIIS, Sydney, Australia Dec. 2003 (241-245)

61. N. Kasabov, S. Pang, Transductive Support Vector Machines And Applications In Bioinformatics For Promoter Recognition, in: Proc. IEEE  International Conference on Neural Networks and Signal Processing, Nanjing, China, Dec. 2003 (1-6), IEEE Press

62. N. Kasabov, Adaptive Neural Networks, Gene Networks, and Evolutionary Systems – Real and Artificial Evolving Intelligence, in Proc. of the 7^th Joint Conference on Information Sciences, North Carolina, 26-30 September, 2003 (1381-1384)

63. D. Zhang, N. Kasabov, Q. Song, I. Nishikawa, Evolving Connectionist Modeling of Auditory, Visual and Combined Stimuli Perception Based on EEG Data, in Proc. of the 7^th Joint Conference on Information Sciences, North Carolina, 26-30 September, 2003 (1361-1364)

64. G. Coghill, D. Zhang, A. Ghobakhlou, N. Kasabov, Connectionist Systems for Rapid Adaptive Learning: A Comparative Analysis on Speech Recognition, in Proc. of the 7^th Joint Conference on Information Sciences, North Carolina, 26-30 September, 2003 (1365-1368)

65. G. Vachkov, N. Kasabov, Real-Time Recognition Of The Operating Modes Of Plants And Machines By Use of Self-Organizing Maps, in Proc. of the 7^th Joint Conference on Information Sciences, North Carolina, 26-30 September, 2003 (1375-1380)

66. M.Futshick, A.Reeve, and N.Kasabov, Modular Decision System and Information Integration for Improved Disease Outcome Prediction, in: Proc. of the European Conference on Computational Biology, France, 2003

67. N.Kasabov, Q.Song, I.Nishikawa, Evolutionary Computation for Dynamic Parameter Optimisation of Evolving Connectionist Systems for On-line Prediction of Time Series with Changing Dynamics, Proc. of the International Joint Conference on Neural Networks, IJCNN 03, Portland, Oregon, July 2003 (438-443)

68. L.Goh, N. Kasabov, Integrated Gene Expression Analysis of Multiple Microarray Data Sets Based on a Normalization Technique and on Adaptive Connectionist Model , Proc. of the International Joint Conference on Neural Networks, IJCNN 03, Portland, Oregon, July 2003 (1724-1728)

69. N.Kasabov, G.Venkov, S.Minchev, Neural Systems for Solving the Inverse Problem of Recovering the Primary Signal Waveform in Potential Transformers, Proc. of the International Joint Conference on Neural Networks, IJCNN 03, Portland, Oregon, July 2003 (2124-2129)

70. Ghobakhlou, Nikola Kasabov, A Methodology for Adaptive Speech Recognition Systems and a Development Environment  in  Proc. of  Artificial Neural Networks and Neural Information Processing ICANN/ICONIP 2003  International Conference, Istanbul, Turkey, June 2003 (316-319)

71. W. Abdulla, V. Kecman, N. Kasabov, Speech-background classification by using SVM technique, in Proc. of  Artificial Neural Networks and Neural Information Processing ICANN/ICONIP 2003  International Conference, Istanbul, Turkey, June 2003 (310-315)

72. N. Kasabov and Song, Q. GA-Optimisation of evolving connectionist systems for classification with a case study from bio-informatics, Proc. of ICONIP’2002, Singapore, November, IEEE Press (2002)

73. Kasabov, N. and D. Dimitrov. A method for gene regulatory network modelling with the use of evolving connectionist systems. Proc. of ICONIP'2002 - International Conference on Neuro-Information Processing, Singapore, November 2002, IEEE Press  (2002)

74. N. Kasabov, Evolving connectionist systems for dynamic modelling and knowledge discovery: methods, tools, applications, IEEE Int. Symposium on Intelligent Systems, St Konstantin, Bulgaria, 9-12 Sept. 2002, IEEE Press (2002)   

75. Futschik, M. and N. Kasabov, Fuzzy clustering of gene expression data,  Proc. of World Congress of Computational Intelligence WCCI’2002, Hawaii, 12-17 May, IEEE Press (2002)

76. Watts, M. and N. Kasabov, Evolutionary optimisation of evolving connectionist systems, Proc. of World Congress of Computational Intelligence WCCI’2002, Hawaii, 12-17 May, IEEE Press (2002)

77. Futschik M., and Kasabov, N., Evolving Fuzzy Neural Networks for Knowledge Discovery from Gene Expression Data – A Case Study, RECOMB’2001 Proceedings - Currents in Computational Molecular Biology 2001, Lengauer, T., Sankoff, D., (eds) 22-25 April 2001, Montreal, Canada (2001) 175-178

78. Kasabov, N., Futschik, M.E., and Middlemiss, M.J., Knowledge Based Neural Networks for On-Line and Off-Line Modeling and Rule Extraction in Bioinformatics,  CGBI’2001, Proc. of the  Atlantic Symposium on Computational Biology, Genome Information Systems and Technology, eds. C.Wu, P.Wang, and J.Wang, 15-17 March 2001, Durham, North Carolina, USA (2001) 240-244

79. D. Deng and N. Kasabov, An evolving localised learning model for on-line image colour quantisation, Proc. Inter. Conf. on Image Processing 2001, Thessaloniki, Greece, Oct. 2001, 906-909

80. Woodford, B.J. and Kasabov, N.K.  Ensembles of EFuNNs: An architecture for a multi module classifier.   Proceedings of FUZZ-IEEE 2001 - The 10th IEEE International Conference on Fuzzy Systems.  IEEE Press, Melbourne, 2-5 December (2001) 441-445

81. Deng, D., and Kasabov, N., Evolving Localised Learning for On-Line Colour Image Quantisation, Proceedings of the International Conference on Vision Computing, November 2000, Hamilton, New Zealand (2000) 186-191

82. Kasabov, N., Evolving Connectionist Systems – a Symbiosis of Learning and Evolution, Proceedings of ICONIP’2000, November 14-18, 2000, Taejon, Korea, 676-680

83. Ghobakhlou, A., Watts, M., and Kasabov, N., On-Line Expansion of Output Space in Evolving Fuzzy Neural Networks Proceedings of ICONIP’2000, November 14-18, 2000, Taejon, Korea, 891-896

84. Iliev, G., and Kasabov, N., Tracking of Narrow Band Signals Using Constrained Adaptive Second-Order Filters, Proceedings of ICONIP’2000, November 14-18, 2000, Taejon, Korea, 1367-1370

85. Song, Q., and Kasabov, N., Dynamic Evolving Neuro-Fuzzy Inference System (DENFIS): On-Line Learning and Application for Time-Series Prediction Proceedings of the 6^th International Conference on Soft Computing, October 1-4, 2000, Iizuka, Japan, (2000) 696-702

86. Koprinska, I., and Kasabov, N., Evolving Fuzzy Neural Network for Camera Operations Recognition Proceedings of the International Conference on Pattern Recognition, September 3-7, 2000, ICPR, Barcelona Vol. II, 523-526

87. Deng, D., and Kasabov, N., ESOM: An Algorithm to Evolve Self-Organizing Maps from On-Line Data Streams. In: Shun-Ichi Amari, C. Lee Giles, Marco Gori, Vincenzo Piuri (eds) Proceedings of the IJCNN’2000: New Challenges and Perspectives for the New Millennium, Como, Italy, July 24-27, 2000 Vol. VI, 3-8

88. Kasabov, N., and Iliev, G., Hybrid Systems for Robust Recognition of Noisy Speech Based on Evolving Fuzzy Neural Networks and Adaptive Filtering, Shun-Ichi Amari, C. Lee Giles, Marco Gori, Vincenzo Piuri (eds) Proceedings of the IJCNN’2000 on Neural Networks Neural Computing: New Challenges and Perspectives for the New Millennium, Como, Italy, July 24-27, 2000 Vol. V, 91-96

89. Kasabov, N., Deng, D., Erzegovesi, L., Fedrizzi, M., and Beber, A., On-line decision making and prediction of financial and macroeconomic parameters on the case study of the European Monetary Union, H. Bothe and R. Rojas (eds) Proceedings of the second ICSC Symposium on Neural Computation, May 23-26, 2000, Berlin, ISCS (International Computer Science Conventions, Canada/Switzerland), (2000) 301-307   

90.  Taylor, J., Kasabov, N., and Kilgour, R., Modelling the Emergence of Speech Sound Categories in Evolving Connectionist Systems, Proceedings of the JCIS’2000 – the Joint Conference on Information Sciences, Atlantic City, February 2000, Association of Intelligent Machinery Inc., (2000) 844-848

91. Iliev, G., and Kasabov, N. Channel equalisation using adaptive filtering with averaging, in: Proceedings of Joint Conference of Information Sciences (JCIS), Atlantic City, New Jersey, February (2000)

92. Abdulla, W. and Kasabov, N., Parallel CHMM speech recognition systems, Proceedings of Joint Conference of Information Sciences (JCIS), Atlantic City, New Jersey, February (2000)

93. Abdulla, W., and Kasabov, N., Speech Recognition Enhancement via Robust CHMM Speech Background Discrimination, Proceedings of the ICONIP/ANZIIS/ANNES’99 Workshop “Future directions for intelligent systems and information sciences, Dunedin, 22-23 Nov.1999, N.Kasabov and K.Ko (eds) (1999) 65-70

94. Iliev, G., and Kasabov, N., Adaptive Filtering with Averaging in Noise Cancellation for Voice and Speech Recognition, Proceedings of the ICONIP/ANZIIS/ANNES’99 Workshop “Future directions for intelligent systems and information sciences, Dunedin, 22-23 Nov.1999, N.Kasabov and K.Ko (eds) (1999) 71-75

95. Deng, D. and Kasabov, N., Evolving Self-orginizing Map and its Application in Generating a World Macroeconomic Map, in: Emerging Knowledge Engineering and Connectionist-based Systems Proceedings of the ICONIP/ANZIIS/ANNES’99 Workshop “Future directions for intelligent systems and information sciences, Dunedin, 22-23 Nov.1999, N.Kasabov and K.Ko (eds), (1999) 7:12

96. Woodford, B., Kasabov, N., and Wearing, H., Fruit Image Analysis using Wavelets, In: Emerging Knowledge Engineering and Connectionist-based Systems, Proceedings of the ICONIP/ANZIIS/ANNES’99 Workshop “Future directions for intelligent systems and information sciences, Dunedin, 22-23 Nov.1999, N.Kasabov and K.Ko (eds), (1999) 88-92

97. Koprinska I., and Kasabov, N., An Application of Evolving Fuzzy Neural Network for Compressed Video Parsing, in: Emerging Knowledge Engineering and Connectionist-based Systems, Proceedings of the ICONIP/ANZIIS/ANNES’99 Workshop “Future directions for intelligent systems and information sciences, Dunedin, 22-23 Nov.1999, N.Kasabov and K.Ko (eds), (1999) 96-102

98. Hegg, D., Cohen, T., Kasabov, N., and Song, Q., Intelligent Control of Sequencing Batch Reactors (SBRs) for Biological Nitrogen Removal, in: Emerging Knowledge Engineering and Connectionist-based Systems, Proceedings of the ICONIP/ANZIIS/ANNES’99 Workshop “Future directions for intelligent systems and information sciences, Dunedin, 22-23 Nov.1999, N.Kasabov and K.Ko (eds), 152-155

99. Deng, D., Koprinska, I., and Kasabov, N., RICBIS - New Zealand Repository for Intelligent Connectionist-Based Information Systems, in: Emerging Knowledge Engineering and Connectionist-based Systems Proceedings of the ICONIP/ANZIIS/ANNES’99 Workshop “Future directions for intelligent systems and information sciences, Dunedin, 22-23 Nov.1999, N.Kasabov and K.Ko (eds),182-185

100.                                       Watts, M., Woodford, B., and Kasabov N., FuzzyCOPE - A Software Environment for Building Intelligent Systems - the Past, the Present and the Future, in: Emerging Knowledge Engineering and Connectionist-based Systems, Proceedings of the ICONIP/ANZIIS/ANNES’99 Workshop “Future directions for intelligent systems and information sciences, Dunedin, 22-23 Nov.1999, N.Kasabov and K.Ko (eds) 188-192

101.                                       Ghobakhlou, A., Song, Q., and Kasabov, N., ROKEL: The Interactive learning and Navigating Robot of the Knowledge Engineering laboratory at Otago, in: Emerging Knowledge Engineering and Connectionist-based Systems, Proceedings of the ICONIP/ANZIIS/ANNES’99 Workshop “Future directions for intelligent systems and information sciences, Dunedin, 22-23 Nov.1999, N.Kasabov and K.Ko (eds) 57-59

102.       Kim, J., Mowat, A., Poole, P., and Kasabov, N., Applications of Connectionism to the Classification of Kiwifruit Berries from Visible-near Infrared Spectral Data, in: Emerging Knowledge Engineering and Connectionist-based Systems, Proceedings of the ICONIP/ANZIIS/ANNES’99 Workshop “Future directions for intelligent systems and information sciences, Dunedin, 22-23 Nov.1999, N.Kasabov and K.Ko (eds)213

103.  Futschik, M; Schreiber, M; Brown, C, and Kasabov, N. (1999) “Comparative Studies of Neural Network Models for mRNA Analysis”, in Proceedings of the International Conference on Intelligent Systems for Molecular biology, Heidelberg, August 6-10 (1999)

104.  Abdulla, W. and Kasabov, N., Two pass Hidden Markov Model for speech recognition systems, in: Proceedings of International Conference of Information and Communication Systems (ICICS-99), Singapore, Dec. 1999

105.  Kasabov, N., Deng, D., Erzegovezi, L., Fedrizzi, M., and Beber, A., Hybrid Intelligent Decision Support Systems and Applications for Risk Analysis and Prediction, International conference on intelligent systems for investment decision making, Bond University, Gold Cost, December (1999)

106.  Iliev, G., and Kasabov, N. Adaptive noise cancellation for speech applications, Proceedings of ICONIP’99, November 1999, Perth, Australia, IEEE Press (1999) 192-197

107.  Kasabov, N. and Fedrizzi, M. Fuzzy neural networks and evolving connectionist systems for intelligent decision making, Proceedings of the Eight International Fuzzy Systems Association World Congress, Taiwan, August 17-20 (1999)

108.  Kasabov, N. Evolving connectionist systems and applications for adaptive speech recognition, Proceedings of  IJCNN'99, Washington DC, July 1999, IEEE Press,

109.       Kasabov, N and Woodford, B., Rule insertion and rule extraction from evolving fuzzy neural networks: algorithms and applications for building adaptive, intelligent expert systems, 1999 IEEE International Fuzzy Systems Conference Proceedings, Seoul, August 1999, v.III (1999)1406-1409 

110.       Kasabov, N., Tuck, D., and Watts, M., Implementing Knowledge and Data Fusion in a Versatile Software Environment for Adaptive Learning and Decision-Making, in: Proceedings of the International Conference on Data Fusion, San Hose, July 1999 (1999)

111.       Tuck, D., Watts, M., Song, Q., and Kasabov, N., A Practical and Flexible Environment for Adaptive Knowledge and Data Fusion Applications. in: Proceedings of International Conference On Applications of Intelligent Systems, Melbourne, Sept. 1999 (1999)

112.       Kasabov, N. Evolving fuzzy neural networks for adaptive, on-line intelligent agents and systems, in: O. Kaynak, S. Tosunoglu and M. Ang (eds) Recent Advances in Mechatronics, Springer Verlag , Singapore (1999): Proceedings of the international conference, Istanbul, Turkey, 24-26 May 1999,  27-41.

113.       Kasabov, N. ECOS - A framework for evolving connectionist systems and the 'eco' training method, in: S.Usui and T.Omori (eds) Proceedings of ICONIP'98 - The Fifth International Conference on Neural Information Processing, Kitakyushu, Japan, 21-23 October 1998, IOS Press, vol.3, 1232-1235

114.       Watts, M. and Kasabov, N. Genetic algorithms for the design of fuzzy neural networks, in: S. Usui and T. Omori (eds) Proceedings of ICONIP'98 - The Fifth International Conference on Neural Information Processing, Kitakyushu, Japan, 21-23 October 1998, IOS Press, vol.2, 793-796

115.       Kasabov, N., Postma, E., and van den Herik, J., AVIS - An Integrated Connectionist Framework for Audio and Visual Information Processing Systems, in: T. Yamakawa and G. Matsumoto (eds) Methodologies for the Conception, Design and Application of Soft Computing, World Scientific, 1998, 422-425

116.       Kasabov, N. Evolving fuzzy neural networks - algorithms, applications and biological motivation, in: T. Yamakawa and G. Matsumoto (eds) Methodologies for the Conception, Design and Application of Soft Computing, World Scientific, 1998, 271-274

117.       Kasabov, N. Theory and applications of evolving connectionist agents and systems, Proceedings of the 1998 international conference on Neural Networks and Brain (NN&B), Beijing, October 27-30 (1998), Publishing House of Electronics Industry, China, 668-671

118.       Postma, E., Kasabov, N. and van den Herik, J. Enhancing recognition systems through an integrated processing of visual and audio information, Proc. 1998 IEEE International Conference on Systems, Man and Cybernetics, San Diego, California, USA, 11-14 October, IEEE Press (1998)

119.       Postma, E.O., Kasabov, N., and Herik, H.J. van. Dynamic Audio-Visual Features for Person Identification Proceedings of the 10^th Netherlands/Belgium Conference on Artificial Intelligence, BNAIC'99 (eds) H. La Poutré and H. J. van den Herik) (1998) 107-116.

120.       Kozma, R. and Kasabov, N. Rules of Chaotic Behaviour Extracted from the Fuzzy-Neural Network FuNN, in: Proceedings of World Congress on Computational Intelligence WCCI’98, International Conference on Fuzzy Systems, IEEE Press, Ancorage, Alaska, May  (1998) 1159-1163

121.       Kasabov, N. Adaptation in intelligent multi-modular systems: A case study on adaptive speech recognition, R.Trappl (ed), Proceedings of the European Meeting on Cybernetics and Systems Research - EMCSR’98, Austrian Society for Cybernetic Studies, Vienna, 14-17 April (1998) 622-627.

122.       Kasabov, N., Kozma, R. and Duch, W. Rule extraction from linguistic rule networks and from fuzzy neural networks: propositional versus fuzzy rules, in: Proceedings of the Conference on Neural Networks and Their Applications NEURAP'98, Marseilles, France, 11-13 March  (1998) 403-406

123.       Kasabov, N. Fuzzy rule extraction, reasoning and rule adaptation in fuzzy neural networks, in: Proceedings of the International Conference on Neural Networks ICNN’97. Houston, May 1997, IEEE Press (1997) 102-107

124.       Kasabov, N. and Watts, M. Genetic algorithms for structural optimisation, dynamic adaptation and automated design of fuzzy neural networks, in: Proceedings of the International Conference on Neural Networks ICNN’97, Houston, May 1997, IEEE Press (1997) 97-101

125.       Kasabov, N. and Kozma, R. Chaotic adaptive fuzzy neural networks and their applications to phoneme-based spoken language recognition, in: Proceedings of International Conference Vision, Recognition, Action: Neural Models of Mind and Machines, Boston, May 1997, Boston University (1997) 109

126.       Kozma, R., Kasabov, N., Swope, J. and Williams, M. Neuro-fuzzy- chaos analysis for building hybrid connectionist systems, in: Proceedings of the 1997 International Conference on Systems, Man and Cybernetics, Orlando, IEEE Press (1997) 3025 - 3029