Boris Igelnik

Boris Igelnik received MS degree in electrical engineering from the Moscow Electrical Engineering Institute of Communication, MS degree in mathematics from the Moscow State University, and PhD degree in Electrical Engineering from the Institute for Problems of Information Transmission, Academy of Sciences USSR, Moscow, Russia and the Moscow Electrical Engineering Institute of Communication. He is Chief Scientist at the BMI Research, Inc., Richmond Heights (Cleveland), OH, USA. His current research interests are in the areas of computational and artificial intelligence, digital signal processing, image processing, adaptive control, robotics, and computational models of intellect. Boris Igelnik is a Senior Member of IEEE.

Publications

Efficiency and Scalability Methods for Computational Intellect
Efficiency and Scalability Methods for Computational Intellect
Boris Igelnik, Jacek M. Zurada. © 2013. 370 pages.
Computational modeling and simulation has developed and expanded into a diverse range of fields such as digital signal processing, image processing, robotics, systems biology...