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From Brain Science to Intelligent Machines

Vahab Youssofzadeh

Local field potentials (LFPs) are electrical field signals generated by a local spatial region of the brain. They have been used towards understanding brain functions while performing various cognitive or behavioural (e.g. decision-making) tasks. This project will combine realistic computational models with signal processing techniques to link multimodal brain signals, specifically electroencephalography (EEG) and blood-oxygen-level-dependent (BOLD) signals in functional magnetic resonance imaging (fMRI).  

Background

Vahab earned his BSc and MSc in Electronic and Biomedical engineering from Islamic Azad University of Mashhad (IAUM), Iran. He joined the department of computing and Engineering at University of Ulster as a PhD researcher in march 2013. During his previous studies, he has worked on brain data analysis. His research interests include EEG signal processing, blind source separation (BSS), independent component analysis (ICA) techniques, time-frequency and dynamics of biomedical signal analysis and, EEG/fMRI data fusion. In his spare time, Vahab enjoys watching movies, walking, reading, and being with family and friends.