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.

Dr. Ghaemi received the Ph.D. degree in electrical engineering and the M.S. degree in mathematics from University of Michigan in 2010 and 2009 respectively. He was a visiting scholor at ETH in 2008. From 2010 to 2012 he was a post-doctoral associate in the Mechanical Engineering department at MIT, researching supervisory control of order-preserving systems and stochastic analysis of biological systems.

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

GE Research teams up with NYSID and the Center for Disability Services in Albany to supply 400 face shields to Albany Medical Center.

Low-cost manufacturing platform for disposable, hospital-grade multi-parameter clinical monitoring devices.

Hydration status monitoring based on wearable sweat-based sensing

~10 years' wet & solid-state chemistry experience. Strong synthetic, characterization, and processing skills for both inorganic and organic materials. Areas of expertise: