Izonin Ivan Viktorovych is an Associate Professor at the Department of Artificial Intelligence of Lviv Polytechnic National University, Ukraine. I received my MSc degree in Computer science at Lviv Polytechnic National University in 2011 and MSc degree in Economic cybernetics at Ivan Franko National University of Lviv in 2012. I received a Ph.D. in Artificial Intelligence at Lviv Polytechnic National University in 2016. My main research interests are focused on the high-speed computational intelligence, neural-like structures, non-iterative training algorithms, ensemble models, meta learning and small data analysis.
He is currently working at the High-speed Computational Intelligence Lab. Our Lab is focusing on information modeling based on a new ANN design concept - Successive Geometric Transformations Model (SGTM). SGTM ensures the solutions to a lot of tasks (pattern recognition, predicting, classification, optimization, missing-data recovering or their consolidation, information protection and privacy methods...). Neural-like structures based on the SGTM as universal approximators implement the training and self-training principles and are based on algorithmic or hardware performing variants. SGTM uses a single methodological framework for various tasks and fast non-iterative training with the pre-defined number of computation steps. It provides repeatability of the training outcomes and the possibility to obtain satisfactory solutions for large and small training samples.