Nikola K. Kasabov
Nikola K. Kasabov (FIEEE, 2010) received MSc degree in Electrical Eng., spec. Computer Science, in 1971 and PhD degree in Mathematical Sciences in 1975 from the Technical University in Sofia. He has published over 550 works, among them 160 journal papers and 12 monograph and text books in the area of intelligent systems, neural networks, connectionist and hybrid connectionist systems, fuzzy systems, expert systems, bioinformatics, neuroinformatics. He is a Fellow of IEEE, Fellow of the Royal Society of New Zealand and the New Zealand Institute for IT Professionals, a Distinguished Visiting Fellow of the RAE UK. He is a Past President of the International Neural Network Society (INNS) and the Asia Pacific Neural Network Assembly (APNNA) and currently - a member of the INNS and APNNA Governing Boards. Nikola Kasabov is the Director of the Knowledge Engineering & Discovery Research Institute and Personal Chair of Knowledge Engineering in the School of Information Technology, AUT. He is also a Guest Professor at Shanghai Jiao Tong University, China and a Marie Curie Fellow for the EvoSpike project hosted by ETH/UZH Zurich.
TBME, Featured ArticlesA Spiking Neural Network Methodology and System for Learning and Comparative Analysis of EEG Data from Healthy Versus Addiction Treated Versus Addiction Not Treated Subjects
Maryam Gholami Doborjeh, Grace Y. Wang, Nikola K. Kasabov, Robert Kydd, Bruce Russell Inspired by a biologically realistic model of the brain that processes dynamic input information across a large number of spiking neurons, we propose a novel neurocomputing development system,... Read more
Posted on 23 AUG 2016