- Explainable Graph Neural Networks for EEG Classification and Seizure Detection in Epileptic Patients
- Electroencephalographic (EEG) correlates of Visually Induced Motion Sickness (VIMS) in the Virtual Reality (VR) based simulations
- Investigation of Energy-Efficient AI Model Architectures and Compression Techniques for “Green” Fetal Brain Segmentation
Research / Computer Vision (Computational Neuroscience)
Szymon Mazurek
Junior Scientific Programmer in Computer Vision Data Science
Deep learning and AI enthusiast, holds BSc in Electronics obtained at AGH UST. Currently pursuing a masters degree in Computer Science and Intelligent Systems at the same university. His BSc thesis was about application of deep learning based vision models to assess the aging process in veterinary subjects, a part of CyfroVet project run by ACC Cyfronet AGH in which he still actively participates. Currently working on his masters thesis at Sano in the project that aims to predict the seizure events with deep learning based on the brain EEG signals. Interested in applications of AI in the field of medicine. Privately active brazilian jiu-jitsu competitor, non-fiction books and RPG games lover.