R & D
My research portfolio
Making an automated/autonomous data scientist
Research on quantifying the quality of software.
Aka mining software repositories. Newly establish area of research.
Explore techniques in the areas of machine learning and computational neuroscience for creating real-world intelligent agents
NEAR: NeuroEvolution of Augmenting Reservoirs
Aka my PhD dissertation. NeuroEvolution of Augmenting Reservoirs, or for short NEAR, is an algorithm that combines Neuroevolution and Learning in order to optimize and train Echo State Networks for solving reinforcement learning and time series forecasting problems.
A trading agent participating in the Trading Agent Competition (TAC), ad auctions and supply chain management games. Positioned at 1st place (2012) and 3rd place (2005) respectivelly.
Older research projects I was able to maintain in a publishable format.