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Iaroslav Omelianenko

CTO/Research Director at NewGround LLC

NewGround Advanced Research

Biography

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 a minimal footprint to solve a 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, implementation, and project management. He actively participates in open source projects. He presented research papers as an author at international conferences.

He is an author of the book Hands-On Neuroevolution with Python now available on Amazon.

Interests

  • Artificial Intelligence
  • Genetic Algorithms and Neuroevolution
  • Synthetic Cognitive Systems
  • Brain-Computer Interface
  • Cooperative Robotics
  • Neurobiology and Neuroscience
  • Mobile Computing

Education

  • MEng in Industrial Process Management, 1999

    Ukrainian State University of Food Technologies

Recent Posts

Creation of Autonomous Artificial Intelligent Agents using Novelty Search method of fitness function optimization

The Novelty Search optimization seems like a natural fit for Neuro-evolution family of genetic algorithms producing elegant custom …

Self Replication to Preserve Innate Learned Structures in Artificial Neural Networks

It’s interesting to investigate combination of deep neuro-evolution and self-replication to evolve Artificial Neural Networks (ANNs) …

Neuroevolution

The neuroevolution methods of ANN training allows us to start with a very simple synthetic organism and evolve it to produce a unit of …

Projects

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GO NEAT

This project provides GOLang implementation of Neuro-Evolution of Augmented Topologies (NEAT) algorithm. The neuroevolution methods of …

SSVEP Brain Hash Function

Our goal is to create Brain Hash Algorithm able to produce robust distinction between EEG signals of different humans under …

Psistats

The project had a goal to provide the working implementation of psycho-demographic profiling algorithm, which can be used to profile …

Recent & Upcoming Talks

FTC 2017 paper presentation

I was presenting our research paper "Applying Deep Machine Learning for Psycho-Demographic Profiling of Internet Users using …

Recent Publications

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Hands-On Neuroevolution With Python

Neuroevolution is a form of artificial intelligence learning that uses evolutionary algorithms to simplify the process of solving …

Preprints:201901.0282

In this paper, we look at how Artificial Swarm Intelligence can evolve using evolutionary algorithms that try to minimize the sensory …

RG.2.2.20698.80328

In this work we describe experiment of applying Novelty Search method of fitness function optimization combined with Neuro-Evolution of …

FTC 2017

The project had a goal to provide the working implementation of psycho-demographic profiling algorithm, which can be used to profile …

arXiv:1708.01167

In this article we present the results of our research related to the study of correlations between specific visual stimulation and the …