معرفی
Igor Aizenberg is a Professor and Chair of the Department of Computer Science at Manhattan College (Riverdale, NY) since 2016. He holds a Ph.D. in Computer Science (1986) and M.S. in Mathematics (1982) from Dorodnicyn Computing Center (Moscow) and Uzhhorod National University (Ukraine), respectively.
- Ph.D. in Computer Science, Dorodnicyn Computing Center, USSR (1986)
- M.S. in Mathematics, Uzhhorod National University (1982)
His research focuses on complex-valued neural networks (CVNNs) with multi-valued neurons (MVN), emphasizing classification, pattern recognition, intelligent image processing, and spectral techniques. He pioneered the MLMVN (Multilayer Neural Network with Multi-Valued Neurons), which excels in learning speed and generalization for nonlinear separability problems like XOR.
His recent publications (2025-2016) highlight advancements in CVNNs for frequency domain image filtering, power system fault diagnosis, DC-DC converter monitoring, and CNNMVN (Convolutional Neural Networks with Multi-Valued Neurons). Key trends include edge detection, impulse noise filtering, and financial time series prediction.
- $300,000 NSF grant (2009-2012)
- Fulbright Specialist Awards (2014, 2015)
- Senior Member, IEEE
Aizenberg has developed MATLAB simulators and executable tools for MLMVN and CNNMVN, freely available for non-commercial research. These tools address classification, regression, and multi-class problems. He has also contributed to books and tutorials on CVNNs, including the 2011 Springer monograph Complex-Valued Neural Networks with Multi-Valued Neurons.
