Vahab Youssofzadeh
University of Tennessee, USA
Editorial board member profile and journal affiliation.
University of Tennessee, USA
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<span style="font-family:times new roman,times,serif;"><strong>Biography:</strong> Vahab Youssofzadeh, PhD, is a post-doctoral research fellow in the Division of Pediatric Neurology & Neuroscience Institute at the University of Tennessee Health Science Center, Le Bonheur Hospital. Vahab earned degrees in Electronics Engineering and Biomedical Engineering, prior to completing a PhD in Computer Science from Ulster University, UK, in 2016. His doctoral research involved computational analyses and modelling of dynamic brain connectivity. Currently, Vahab is focusing on development and validation of multimodal neuroimaging methods, advanced connectivity, network, and machine learning approaches to map language network in children and adults with intractable epilepsy.</span></p>
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<span style="font-family:times new roman,times,serif;"><strong><span style="font-size: 11pt; line-height: 99%;">Research Interest(s):</span></strong></span></p>
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<span style="font-family:times new roman,times,serif;">Advanced functional neuroimaging techniqeus: Source modelling, connectivity, network analysis, pattern recognition, and machine learning.</span></li>
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<span style="font-family:times new roman,times,serif;">Clinical applications: Language mapping, epilepsy • Other applications: Brain computer interface (BCI).</span></li>
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<span style="font-family:times new roman,times,serif;">Data modalities: electroencephalography (EEG), magnetoencephalography (MEG), and functional magnetic resonance imaging (fMRI).</span></li>
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