ICAISC 2023

The 22nd International Conference on Artificial Intelligence and Soft Computing

June 18-22, 2023

Invited Talks

Nikola Kasabov "Deep Learning, Deep Knowledge Representation and Knowledge Transfer with Brain-Inspired Neural Network Architectures"

 Nikola Kasabov
Nikola Kasabov "Deep Learning, Deep Knowledge Representation and Knowledge Transfer with Brain-Inspired Neural Network Architectures" Fellow IEEE, Fellow RSNZ, DV Fellow RAE UK
Director, Knowledge Engineering and Discovery Research Institute,
Auckland University of Technology, Auckland, New Zealand, nkasabov@aut.ac.nz,
Advisory/Visiting Professor Shanghai Jiao Tong University, Robert Gordon University UK
https://kedri.aut.ac.nz/staff/staff-profiles/professor-nikola-kasabov

Professor Nikola Kasabov is Fellow of IEEE, Fellow of the Royal Society of New Zealand, Fellow of the INNS College of Fellows, DVF of the Royal Academy of Engineering UK and the Scottish Computer Association. He is the Founding Director of the Knowledge Engineering and Discovery Research Institute (KEDRI), Auckland and Professor at the School of Engineering, Computing and Mathematical Sciences at Auckland University of Technology. Kasabov is the 2019 President of the Asia Pacific Neural Network Society (APNNS) and Past President of the International Neural Network Society (INNS). He is member of several technical committees of IEEE Computational Intelligence Society and Distinguished Lecturer of IEEE (2012-2014). He is Editor of Springer Handbook of Bio-Neuroinformatics, Springer Series of Bio-and Neurosystems and Springer journal Evolving Systems. He is Associate Editor of several journals, including Neural Networks, IEEE TrNN, Tr CDS, Information Sciences, Applied Soft Computing. Kasabov holds MSc and PhD from TU Sofia, Bulgaria. His main research interests are in the areas of neural networks, intelligent information systems, soft computing, bioinformatics, neuroinformatics. He has published more than 620 publications. He has extensive academic experience at various academic and research organisations in Europe and Asia, including: TU Sofia Bulgaria; University of Essex UK; University of Otago, NZ; Advisory Professor at Shanghai Jiao Tong University, Visiting Professor at ETH/University of Zurich and Robert Gordon University UK. Prof. Kasabov has received a number of awards, among them: Doctor Honoris Causa from Obuda University, Budapest; INNS Ada Lovelace Meritorious Service Award; NN Best Paper Award for 2016; APNNA ‘Outstanding Achievements Award’; INNS Gabor Award for ‘Outstanding contributions to engineering applications of neural networks’; EU Marie Curie Fellowship; Bayer Science Innovation Award; APNNA Excellent Service Award; RSNZ Science and Technology Medal; 2015 AUT Medal; Honorable Member of the Bulgarian and the Greek Societies for Computer Science. More information of Prof. Kasabov can be found on the KEDRI web site: http://www.kedri.aut.ac.nz

Abstract

The talk argues and demonstrates that the third generation of artificial neural networks, the spiking neural networks (SNN), can be used to design brain-inspired architectures that are not only capable of deep learning of temporal or spatio-temporal data, but also enabling the extraction of deep knowledge representation from the learned data. Similarly to how the brain learns time-space data, these SNN models do not need to be restricted in number of layers, neurons in each layer, etc. as it is the case with the traditional deep neural network architectures. When the SNN model is designed to follow a brain template, knowledge transfer between humans and machines in both directions becomes possible through the creation of brain-inspired BCI. The presented approach is illustrated on an exemplar SNN architecture NeuCube (free software and open source available from www.kedri.aut.ac.nz/neucube) and case studies of brain and environmental data modelling and knowledge representation using incremental and transfer learning algorithms These include predictive modelling of EEG and fMRI data measuring cognitive processes and response to treatment, AD prediction, BCI, human-human and human-VR communication, hyper-scanning and other. More details can be found in the recent book: Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence, Springer,2019, https://www.springer.com/gp/book/9783662577134.

Program Committee

General chairman

Leszek Rutkowski Leszek Rutkowski

Co-Chair
Rafał Scherer Rafał Scherer
Technical Chair
Marcin Korytkowski Marcin Korytkowski


Area Chairs

Fuzzy Systems
Witold Pedrycz Witold Pedrycz
Evolutionary Algorithms
Zbigniew Michalewicz Zbigniew Michalewicz
Neural Networks
Jinde Cao Jinde Cao

Computer Vision
Dacheng Tao Dacheng Tao
Machine Learning
Nikhil R. Pal Nikhil R. Pal
Artificial Intelligence with Applications
Janusz Kacprzyk Janusz Kacprzyk

International Liaison

Jacek M. Żurada Jacek M. Żurada

Finance Chair

Marcin Gabryel Marcin Gabryel


International Program Committee

  • Hojjat Adeli - USA
  • Cesare Alippi - Italy
  • Shun-ichi Amari - Japan
  • Rafal A. Angryk - USA
  • Robert Babuska - Netherlands
  • James C. Bezdek - Australia
  • Piero P. Bonissone - USA
  • Bernadette Bouchon-Meunier - France
  • Jinde Cao - China
  • Juan Luis Castro - Spain
  • Yen-Wei Chen - Japan
  • Andrzej Cichocki - Japan
  • Krzysztof Cios - USA
  • Ian Cloete - Germany
  • Oscar Cordón - Spain
  • Bernard De Baets - Belgium
  • Włodzisław Duch - Poland
  • Meng Joo Er - Singapore
  • Pablo Estevez - Chile
  • David B. Fogel - USA
  • Tom Gedeon - Australia
  • Erol Gelenbe - United Kingdom
  • Jerzy W. Grzymala-Busse - USA
  • Hani Hagras - UK
  • Saman Halgamuge - Australia
  • Yoichi Hayashi - Japan
  • Tim Hendtlass - Australia
  • Francisco Herrera - Spain
  • Kaoru Hirota - Japan
  • Tingwen Huang - USA
  • Hisao Ishibuchi - Japan
  • Mo Jamshidi - USA
  • Robert John - UK
  • Janusz Kacprzyk - Poland
  • Nikola Kasabov - New Zealand
  • Okyay Kaynak - Turkey
  • Vojislav Kecman - USA
  • James M. Keller - USA
  • Etienne Kerre - Belgium
  • Frank Klawonn - Germany
  • Robert Kozma - USA
  • László Kóczy - Hungary
  • Józef Korbicz - Poland
  • Rudolf Kruse - German
  • Adam Krzyzak - Canada
  • Věra Kůrková - Czech Republic
  • Soo-Young Lee - Korea
  • Simon M. Lucas - UK
  • Luis Magdalena - Spain
  • Jerry M. Mendel - USA
  • Radko Mesiar - Slovakia
  • Zbigniew Michalewicz - Australia
  • Javier Montero - Spain
  • Eduard Montseny - Spain
  • Kazumi Nakamatsu - Japan
  • Detlef D. Nauck - Germany
  • Ngoc Thanh Nguyen - Poland
  • Erkki Oja - Finland
  • Nikhil R. Pal - India
  • Witold Pedrycz - Canada
  • Leonid Perlovsky - USA
  • Marios M. Polycarpou - Cyprus
  • Danil Prokhorov - USA
  • Vincenzo Piuri - Italy
  • Sarunas Raudys - Lithuania
  • Olga Rebrova - Russia
  • Vladimir Red’ko - Russia
  • Raúl Rojas - Germany
  • Imre J. Rudas - Hungary
  • Norihide Sano - Japan
  • Rudy Setiono - Singapore
  • Jennie Si - USA
  • Peter Sincak - Slovakia
  • Andrzej Skowron - Poland
  • Roman Słowiński - Poland
  • Pilar Sobrevilla - Spain
  • Janusz Starzyk - USA
  • Jerzy Stefanowski - Poland
  • Vitomir Štruc - Slovenia
  • Ron Sun - USA
  • Johan Suykens - Belgium
  • Ryszard Tadeusiewicz - Poland
  • Hideyuki Takagi - Japan
  • Dacheng Tao - Australia
  • Vicenç Torra - Spain
  • Burhan Turksen - Canada
  • Shiro Usui - Japan
  • Deliang Wang - USA
  • Jun Wang - Hong Kong
  • Lipo Wang - Singapore
  • Paul Werbos - USA
  • Bernard Widrow - USA
  • Kay C. Wiese - Canada
  • Bogdan M. Wilamowski - USA
  • Donald C. Wunsch - USA
  • Ronald R. Yager - USA
  • Xin-She Yang - United Kingdom
  • Gary Yen - USA
  • Sławomir Zadrożny - Poland
  • Jacek Zurada - USA
Committee on Informatics of the Polish Academy of Sciences

Contact - ICAISC 2023 Organizing Committee

General Chairman
Leszek Rutkowski Leszek Rutkowski email: lrutkowski.a_t.san.edu.pl
Co-Chair
Rafał Scherer Rafał Scherer email: rafal.scherer.a_t.pcz.pl
Technical Chair
Marcin Korytkowski Marcin Korytkowski email: marcin.korytkowski.a_t.pcz.pl
Finance Chair
Marcin Gabryel Marcin Gabryel email: marcin.gabryel.a_t.pcz.pl

Organizing Committee Office

Institute of Computational Intelligence Częstochowa University of Technology
al. Armii Krajowej 36 42-200 Częstochowa, Poland
Tel: +48 (34) 3250546 Fax: +48 (34) 3250546 E-mail: icaisc@pcz.pl ICAISC 2023 Web page: http://icaisc.eu

International Liaison

Prof. Jacek M. Żurada Dept. of Electr. and Comp. Engineering
University of Louisville, Louisville, KY 40292, USA
Tel: (502) 852-6314 Fax: (502) 852-3940 E-mail: jacek.zurada@louisville.edu URL: http://ci.uofl.edu/zurada