Jonathan Zia, Ph.D.
M.D. Candidate | Tinkerer | Shawarma Enthusiast
I am a medical student at Emory University in the Medical Scientist Training Program (MSTP). I graduated from Arizona State University in 2016 with a BSE in Electrical Engineering and from Georgia Tech in 2020 with a PhD in Electrical and Computer Engineering.
January 2018 - August 2020
Graduate research assistant (GRA) in the Inan Research Lab of the Department of Electrical and Computer Engineering. Research focuses on signal processing and artificial intelligence methods for cardiac bio-signal processing.
May 2015 - July 2015
Research Intern in the Singapore Institute for Neurotechnology (SINAPSE). Research focused on wireless power transmission and data telemetry for neuromuscular implants.
October 2013 - May 2016
Undergraduate researcher in the Center for Cognitive Ubiquitous Computing (CUbiC) of the Ira A. Fulton Schools of Engineering. Research focused on artificial intelligence for freezing of gait (FoG) prediction in Parkinson's patients.
July 2016 - Present
Graduate student in the joint MD/PhD Program at Emory University and the Georgia Institute of Technology. Research interests include machine learning informatics for noninvasive biomedical monitoring devices.
June 2013 - August 2013
Studied Mandarin Chinese at East China Normal University in Shanghai, China. Participant in the Chinese Language Flagship program at Arizona State University.
August 2012 - May 2016
BSEE in Electrical Engineering from Arizona State University. Also completed pre-medical coursework and the Chinese Language Flagship Program non-diploma track.
Recent Original Research
Harnessing the Manifold Structure of Cardiomechanical Signals for Physiological Monitoring during Hemorrhage
IEEE Transactions on Biomedical Engineering (2020)
Enabling the Assessment of Trauma-Induced Hemorrhage via Smart Wearable Systems
Science Advances (2020)
Modeling Consistent Dynamics of Cardiogenic Vibrations in Low-Dimensional Subspace
IEEE Journal of Biomedical and Health Informatics (2020)
A Unified Framework for Quality Indexing and Classification of Seismocardiogram Signals
IEEE Journal of Biomedical and Health Informatics (2019)