Tzu-Jen (Felix) Kao maintains broad expertise in feasibility studies, conducting experiments, algorithm development, and clinical data analysis for bioelectronics and bioinstrumentation. His experience spans over eighteen years in developing reconstruction algorithms for noninvasive biomedical instrumentation, including impedance tomography, multiple model system design and phantom studies, and three years clinical research experience in cancer detection using a noninvasive bio-impedance technique.

GE's non-invasive SMS-EIT prototype system provides higher signal-to-noise ratio and greater sensitivity to continuously image pulmonary perfusion and ventilation.

T-J. Kao, B. Amm, X. Wang, G. Boverman, D. Shoudy, J. Sabatini, J. Ashe, J. Newell, G. Saulnier, D. Isaacson, D. Davenport, “Real-time 3D electrical impedance imaging for ventilation and perfusion of the lung in lateral decubitus position,” Conference Proceedings–IEEE Engineering in Medice and Biology Society, 2014:1135-8. doi: 10.1109/EMBC.2014.6943795.

To help build the world’s most powerful offshore wind platform, GE Renewable Energy tapped into the broad, multidisciplinary skill sets of GE Research's innovation engine.

For Izzy, GE Research's ability to bring technology to market through GE's industrial businesses is what she's enjoyed most during her experience on the EEDP.

GE researchers partnering with Intel, Florida State University and Baker Hughes on $5.2 M program with the US Department of Energy to develop new cyber protection capabilities

Bray recognized for his outstanding research accomplishments in industrial research related to superconductivity, MRI an electric generators and motor technology

Felix Kao is both a biomedical engineer and a medical doctor who leverages his medical experience to drive engineering solutions in the healthcare industry.

Puleo recognized for his leadership advancing the GE Research's Bioelectronic Medicine Program and impact creating new external partnerships and projects for the Lab.

Keeping workers safe through analytics derived from sensor data fusion & aggregation and delivered through pervasive connectivity & real-time visualization