[2] Kasabov began his academic career at the Technical University, Sofia, initially as a Research Fellow in the Department of Computer Science, later becoming a lecturer in 1978 and associate professor in 1988.
Subsequently, he assumed the role of Senior Lecturer at the University of Otago Department of Information Science, where he was appointed Professor and Personal Chair from 1999 to 2002.
[17] Kasabov has contributed to the field of computer science by conducting research on evolving connectionist systems (ECOS) and the spiking neural network architecture NeuCube.
[18] He further discussed its potential applications in the monograph, Evolving Connectionist Systems: The Knowledge Engineering Approach, such as the discovery of diagnostic markers for early detection of cancer.
He implemented the ECOS framework by introducing the Dynamic Evolving Neuro-Fuzzy Inference System (DENFIS),[20] an online learning neuro-fuzzy method and the Evolving Fuzzy Neural Network (EFuNN), a model for online supervised/unsupervised learning and fuzzy rule extraction,[21] both utilized in the software development environment NeuCom, earning him several patents.
[22][23] Kasabov's work on spiking neural networks (SNN) led to the development of new methodologies like the NeuCube theoretical framework for brain-inspired computation.
[24] He extended ECOS principles to comprehend spatio-temporal brain data via spike representation, featuring a 3D SNN structure trained with brain-inspired rules, facilitating interpretable connectivity models and offering fast, low-power processing ideal for real-time applications like human prosthetic control.