I am Christos Bouronikos, a PhD student at the University of Thessaly.

My doctoral research focuses on how people with visual impairment perceive and navigate space, using
EEG recordings, advanced signal processing, and machine learning methods.

I care deeply about accessibility and digital accessibility, and I aim for my research, tools, and data
workflows to support more inclusive technologies and environments for people with disabilities.

I hold a BSc in theoretical Mathematics and an MSc in Applied Informatics from the Department of Electrical Engineering and Computer Engineering of the University of Thessaly.

My work as a researcher is at the intersection of:

• EEG signal processing and time–frequency analysis
• Spatial cognition and navigation in visually impaired populations
• Machine Learning and Deep Learning for neural data
• Accessibility, digital accessibility, assistive technology, and inclusive design

• Neural correlates of spatial perception, mental mapping, and navigation in visual impairment
• Neural markers of navigation, attention, and cognitive load
• EEG methodology: preprocessing, artifact correction, time-frequency analysis, connectivity, and feature engineering
• Machine Learning and Deep Learning models for EEG and other physiological time series
• Quantifying cognitive load, attention, and task demands in realistic environments
• Accessible experimental design, inclusive human-computer interaction, digital accessibility, and assistive technologies
• Open, reproducible, and well documented research workflows in computational neuroscience

• Programming & analysis: Python, R, MATLAB, SQL
• Scientific computing: NumPy, SciPy,pandas, scikit-learn, MNE-Python
• Data & visualization: ggplot2, matplotlib

• LinkedIn: christosbouronikos
• Email: chrisbouronikos@gmail.com
• Support my work: PayPal