Kwang W. Oh

Associate Professor

University at Buffalo (SUNY)

Kwang W. Oh is an Associate Professor of Electrical Engineering and Biomedical Engineering at SUNY-Buffalo where he leads the Sensors and MicroActuators Learning Laboratory (http://SMALL.buffalo.edu). He received his BS degree with high honors in Physics from Chonbuk National University, Korea, in 1995. He earned his PhD degree from the University of Cincinnati in 2001. Prior to joining SUNY-Buffalo in 2006, he worked at Samsung Advanced Institute of Technology (SAIT), Korea, where he developed micro PCR and LOC platforms for clinical diagnostics. He was exposed to the very real problems facing the life sciences and subsequently developed a keen interest in applying engineering tools to the fields of biomedical and clinical area. He has (co)authored over 120 technical publications and holds 19 US patents. In the professional fields, he has been selected as one of the prestigious Lab on a Chip's 2012 Emerging Investigators. Also, he has co-chaired Micro & Bio Fluidics, Lab-on-Chip at NanoTech Conference since 2012. Currently, he is a founding member of the editorial board of Advanced Health Care Technologies; a guest editor of Special Issues (On-Chip Sensors in Sensors and Biomedical Microfluidic Devices in Micromachines); and a track chair for Biosensor, Nanotechnology, BioMEMS in 2015 World Congress on Medical Physics & Biomedical Engineering. His research program in SMALL focuses on the advancement of microfluidic tools for high-throughput/cell study applications, such as, droplet-based microfluidics, microfluidic circuits, particle/cell sorting and cell study platform/3D model; and LOC/POC applications, such as vacuum-assisted portable platforms and hemolysis-free blood plasma separation devices. Also, he invests on new microfabrication technologies and microfluidic platforms (i.e., stem cell study, biopsy-on-a-chip, exosome-based cancer diagnostics, dynamic alignment terahertz spectroscopy for protein study). Recent research includes the building of 3D phantom models (i.e., fake arm and fake finger) integrated with microfluidic vascular or capillary networks to test biometric ultrasonic/photoacoustic sensors, wearable medical devices, and biomedical imaging.