- Investigating the interaction between EEG and fNIRS: A multimodal network analysis of brain connectivity
- Can gamification reduce the burden of self-reporting in mHealth applications? A feasibility study using machine learning from smartwatch data to estimate cognitive load
- Resting State Brain Connectivity analysis from EEG and FNIRS signals
Research / Computer Vision (Brain & More Lab)
Rosmary Blanco
PhD Student in Computer Vision Data Science
Rosmary is a biotechnologist with experience in data recordings and analysis in the neurological, neurosurgical, and neurorehabilitation fields. She specializes in clinical network neuroscience and has skills in complex electrophysiological signal processing, particularly EEG source functional connectivity and network analysis. Her main interest is studying the large-scale network principles governing neuronal communication, cognition, and human behavior through computational approaches, personalized medicine, and clinical decision support.