sohmyung-ha-N4A3084
Sohmyung Ha, Assistant Professor of Electrical and Computer Engineering, Engineering, NYUAD

Sohmyung Ha

Assistant Professor of Electrical and Computer Engineering, Engineering

Affiliation: NYU Abu Dhabi

Biography

B.S. and M.S. in Electrical Engineering, KAIST; M.S. and Ph.D. in Bioengineering, UC San Diego

Since 2016, he has been with New York University Abu Dhabi. Sohmyung Ha is an assistant professor of electrical and computer engineering at New York University Abu Dhabi. He received the B.S. degree summa cum laude and the M.S. degree in Electrical Engineering from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, in 2004 and 2006, respectively. From 2006 to 2010, he worked as an analog and mixed-signal circuit designer at Samsung Electronics, Yongin, Korea, where he was a part of the engineering team responsible for several of the world best-selling multimedia devices, smartphones and TVs. After an extended career in industry, he returned to academia as a Fulbright Scholar, and obtained the M.S. and Ph.D. degrees with the best Ph.D. thesis award for biomedical engineering from the Department of Bioengineering, University of California San Diego, La Jolla, CA, USA, in 2015 and 2016, respectively.

His research aims at advancing the engineering and applications of silicon integrated technology interfacing with biology in a variety of forms ranging from implantable biomedical devices to unobtrusive wearable sensors. The engineering advances in the design of integrated circuits and system components target high performance, miniature form factor, and power autonomy in fully integrated interfaces. Targeted applications include self-powered biosensors for wearable health monitoring, subcutaneous glucose sensors for continuous monitoring in diabetes patients, scalable high-resolution retinal prostheses, and minimally invasive brain-computer interfaces for closed-loop remediation of neurological disorders such as epilepsy and Parkinson’s disease.

Research Interests

Biomedical integrated circuit and system design with focus on brain-computer interfaces, neural sensors/actuators, retinal prostheses, integrated glucose sensors, and wearable biosignal sensors.