Research Poster: Application of Bayesian Networks to EEG Data
This poster presents an overview of work into assessing a novel computational approach to uncover cognitive patterns from electroencephalography (EEG) data from humans.
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Nicolas Etessami
(He/Him)
Student, University of St Andrews
Hello! I am an incoming third year at the University of St Andrews, studying Mathematics and Computer Science.
My summer 1 research focus was on applying Bayesian networks to electroencephalography (EEG) data. My research poster was presented at the 2025 Global Laidlaw Scholars Conference in Durham, where it was selected by Taylor & Francis to be published.
My summer 2 Leadership in Action project is based in Hinohara village, Japan. I am partnering with Satoyama School Tokyo to support their ongoing efforts in learning, preserving, and sharing the traditions of a "satoyama" lifestyle: an old, nature-focused way of living in mountain villages.
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