Associate Professor of Electrical and Computer Engineering
Adjunct Associate Professor of Biomedical Engineering
Program Faculty Bioengineering
Education
Ph.D., Electrical Engineering, Stanford University, Stanford, CA, 2009
M.Sc., Electrical Engineering, Stanford University, Stanford, CA, 2005
B.Sc., Electrical Engineering, Stanford University, Stanford, CA, 2004
Major Awards
Office of Naval Research Young Investigator Award (ONR YIP), 2018
National Science Foundation CAREER Award, 2018
IEEE Sensors Early Career (Young Professional) Award, 2018
Roger P. Webb Outstanding Junior Faculty Member Award (ECE), Georgia Tech, 2018
Sigma Xi Young Faculty Award, Georgia Tech, 2017
Lockheed Dean’s Excellence in Teaching Award, Georgia Tech, 2016
G. J. Lieberman Fellowship, Stanford University, 2009
My research interests include development of wearable and implantable biomedical technologies for diagnostic and therapeutic purposes. Currently, I am working on the characterization of knee joint sounds, ultrasound therapy, and vibration analysis of knee joint.
My main research interests are embedded systems and assistive robotics.
My research interest is in the field of biosensing device, e.g., wearable and bioMEMS device. I have worked on implantable neural array for large neuronal mapping. Presently I am working on noninvasive medical devices, sensor fusion, signal processing and machine learning with emphasis on cardiovascular monitoring for patients with heart failure.
My research interests are to use embedded systems and machine learning to develop miniaturized sensors that can be used in and outside the clinic. My main focus is to develop a miniaturized bioimpedance sensor to detect IV infiltration and evaluate joint health.
My research interest focus on biomedical sensing system for home monitoring. This includes developing novel wearable devices, measuring bio-signals, and analyzing those through signal processing algorithms to get clinically useful data.
My research interests focus on non-invasive wearables that leverage novel signal processing techniques for physiological monitoring.
My research interests include machine learning and bio-signal processing for applications in wearable health monitoring, particularly for detecting and monitoring trauma and assisting in triage.
My research interests include designing circuits and systems for sensing biological signals, and finding biomarkers for quantifying the biomedical condition through signal processing techniques. Designing such systems and miniaturizing them to a wearable size helps with health monitoring for both clinical and at-home settings.
My research interests lie in the hardware development of non-invasive wearable devices and the application of signal processing techniques to get clinically useful data from them.
My research interests center around the development of non-invasive wearable biomedical devices for improving diagnosis and remote monitoring of patients. I am particularly interested in developing embedded systems for monitoring cardiopulmonary health.
My research interests revolve around using non-invasive bio-signal sensing and measurement techniques to help improve patient outcomes. I am especially passionate about acoustics, signal processing, and device design that empowers patients to take ownership of their health both inside and outside of the clinic.
My research interests include noninvasive neuromodulation and electrophysiological monitoring as applied to clinically relevant conditions. I am especially interested in the monitoring and modulation of psychiatric disorders.
My research interests are based in the hardware and software development of embedded systems used for electrophysiological sensing and modulation. I have a particular interest in closed-loop neuromodulation devices that aid in the treatment of neurological disorders.
My research interests focus on deep learning with less supervised environments, including weakly supervised, semi-supervised, and transfer learning, particularly for human activity recognition and physiological signal analysis.
My research interests focus on biological signal processing and machine learning and their applications in pediatric cardiology.
My research interests include hardware and embedded systems development for miniaturized wireless non-invasive wearables, remote detection via image sensing technologies, and the application of machine learning techniques in conjunction with the above to effectively monitor health and detect disease. I also enjoy designing GUIs for the systems that I develop.
