Ismail kasabov
Ismail Kasabov is a renowned Bulgarian mathematician and computer scientist, known for his contributions to the field of artificial intelligence, machine learning, and neural networks.
Kasabov is a professor at the Auckland University of Technology (AUT) in New Zealand, where he leads the Brain Research and Artificial Intelligence (BRAIN) Laboratory. He is also the director of the Centre for Artificial Intelligence (CAI) at AUT.
Kasabov's research focuses on developing novel neural network architectures and algorithms for solving complex problems in areas such as:
- Brain-inspired computing: He has developed novel neural network models inspired by the human brain, such as the Neuro-Fuzzy and Neuro-Fuzzy-Genetic models.
- Machine learning: Kasabov has worked on developing new machine learning algorithms, including the Evolving Fuzzy Neural Network (EFuNN) and the Evolving Spiking Neural Network (ESNN).
- Pattern recognition: He has developed novel pattern recognition techniques, including the use of neural networks and fuzzy logic for image and signal processing.
- Biomedical applications: Kasabov has applied his research to various biomedical applications, such as brain-computer interfaces, medical diagnosis, and personalized medicine.
Kasabov has published numerous papers in top-tier conferences and journals, including the IEEE Transactions on Neural Networks, the International Journal of Neural Systems, and the Journal of Intelligent Information Systems. He has also edited several books on neural networks and machine learning.
Kasabov is a fellow of the International Neural Network Society (INNS) and has received several awards for his contributions to the field of artificial intelligence and machine learning.