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Saed Khawaldeh

DPhil Student

I am interested in neuroscience, neurotechnology, biomedical engineering, and machine learning fields. My main research area of interest include developing neurotechnological applications through integrating neuroimaging methodologies (i.e. EEG, LFP, and MEG), brain stimulation methods (i.e. DBS), and artificial intelligence (i.e. machine/deep learning).


Just a brief about myself. After finishing my bachelor degree in engineering in 2014, I joined MIT Media Lab (U.S.A.) as a visiting intern. Later in early 2015, I worked between the National Magnetic Resonance Research Center of Turkey as a research intern and  Bilkent University (Turkey) as a teaching assistant. Afterwards, I started working as a research and teaching assistant between Istanbul Sehir and Bogazici Universities (Turkey). In summer 2016, I did a research internship at MPI for Biological Cybernetics (Germany). In summer 2017, I worked as a research assistant at Aalto University (Finland). Finally, in January 2018, I joined the Nuffield Department of Clinical Neurosciences at the University of Oxford (U.K.) to work on my master thesis with Professor Peter Brown. In September 2018, I earned my master degree in biomedical engineering and then started my DPhil in clinical neurosciences.

Currently, I am working between MRC Brain Network Dynamics Unit (Professor Peter Brown) and Oxford Center for Human Brain Activity (Professor Mark Woolrich) on utilizing various machine learning techniques (i.e. Hidden Markov Model) to analyze electrophysiological signals (i.e. LFP and EEG) to understand more the pathology of Parkinson disorder. I aim to develop brain-machine interface applications using cortical and deep brain recording to help patients with physical disabilities through smart neuroprosthetics. Alongside that, I use autoregressive and Hidden Markov Models to innovate closed-loop DBS applications through using detected multivariate brain states as neurofeedback signals for the system, this can be used in the treatment of psychiatric and neurodegenerative disorders.