Darwin had his species
We have our populations in code
At the Faculty of Computer Science and Mathematics at PK, we create projects where biology meets algorithms: from EEG and brain–computer interfaces, through experiments on brain signals, all the way to evolving code populations inspired by nature.
We are GENESYS — a student research group pushing the boundary between biology and computer science. If this sparked your curiosity, go ahead:
Projects
EvolveKit Library
EvolveKit is a developing Python library created to solve complex optimization problems using evolutionary algorithms. It combines ease of use with great flexibility, offering support for various gene types, automatic statistics collection, and the ability to monitor and control the evolution process.
BCI Interface using EEG
We are creating a brain–computer interface (BCI), a system that allows control of, for example, prosthetic limbs, machines, or a character in a game using signals acquired from the surface of the head (via an EEG cap). For this purpose, we are using, among other things, a technique based on focusing the gaze on flickering LEDs (SSVEP). Depending on which LED you look at on the screen, a specific action of the character will be executed. We also plan to use signals generated during motor imagery, such as imagining hand clenching or leg movement.
Stay up to date with our activities
Check out the latest news, event reports, and workshop announcements.
