Mohammad Ghassemi is a doctoral candidate at the Massachusetts Institute of Technology. As an undergraduate, he studied Electrical Engineering and graduated as both a Goldwater scholar and the University's "Outstanding Engineer". After graduating he worked in industry as a lead engineer, building photovoltaic devices that integrated sensor technologies to enhance energy efficacy. Mohammad later perused an MPhil in Information Engineering at the University of Cambridge where he was a recipient of the Gates-Cambridge Scholarship.
Since arriving at MIT in 2011, he has perused research which has allowed him to leverage his knowledge of machine learning and background in hardware/sensor design to enhance critical care medicine. Mohammad's doctoral focus is on signal processing and machine learning techniques in the context of multi-modal, multi-scale datasets. He has currently put together the largest collection of post-anoxic coma EEGs in the world, which he is investigating for his doctoral thesis.
In addition to his thesis work, Mohammad has worked with several entities across campus building "smart devices" including: an automated cooking device and a multi-sensor wearable that passively monitors the physiological, audio and video activity of a user to estimate a latent emotional state.