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.

Senior Engineer Donovan Buckley reflects on his work with GE Research and the role models who have inspired him.

Putting optimal back on the table for real applications using Quantum as an accelerator

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. 

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

The former Research Lab leader, a ‘technical leader of the highest level,” passed away earlier this week.

• GE’s experimental MAGNUS gradient coil installed in a GE 3.0 Tesla clinical MRI scanner delivers an unprecedented combination of slew rate and gradient strength for brain imaging, operating in the 500 – 700 Tesla/meter/second (T/m/s) and 200-300 milliTesla/meter (mT/m) range vs.