Iaroslav Omelianenko is a CTO and Research Director at the NewGround LLC. His research interests include human-computer interaction, genetic algorithms, neuroevolution of augmented topologies, reinforcement learning, control & optimization, and Neurobiology.
He leads the Research and Development team, which applies genetic algorithms to create artificial neural networks with minimal footprint to solve variety of control & optimization tasks as well as do research in brain-computer interfaces.
He has more than 30 years of experience with software design and project management. Actively participates in open source projects. He presented research papers as an author at international conferences.
MEng in Industrial Process Management, 1999
Ukrainian State University of Food Technologies
This project provides GOLang implementation of Neuro-Evolution of Augmented Topologies (NEAT) with Novelty Search optimization aimed to solve deceptive tasks with strong local optima
The GOLang implementation of NeuroEvolution of Augmented Topologies (NEAT) method to grow and teach Artificial Neural Networks without back propagation
Our goal is to create Brain Hash Algorithm able to produce robust distinction between EEG signals of different humans under electro-physiological visual feedback based on steady-state visually evoked potential (SSVEP). It can be applied at variety of tasks from user authentication at online web services to user identification for physical access control systems.
The project had a goal to provide working implementation of psycho-demographic profiling algorithm which can be used to profile Internet users based on digital footprints they leave by using various Internet services. We provide full source code implementation in R programming language of the algorithms described in corresponding research paper.