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.
Matthew Seidel graduated from Clarkson University with a B.S. in Electrical Engineer and Physics. After graduating, Matthew has gained over 5 years of embedded system design experience in both the commercial and defense sectors. His areas of specialization are in FPGA design, high speed digital board design, and embedded programming.
Currently, Matthew is helping in the areas of hardware cyber security, machine learning, and high speed image acquisition.