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ARPA- E project GRC 3D Design team
Receives >$1.3 million ARPA-E project award, aiming to reduce the timeline for designing and validating 3D- printed turbomachinery components from 2-5 yrs to 1-2 yrs.
Putting optimal back on the table for real applications using Quantum as an accelerator
Keeping workers safe through analytics derived from sensor data fusion & aggregation and delivered through pervasive connectivity & real-time visualization
(photo of Richard Arthur)

Rick Arthur is Senior Principal Engineer for GE Research Digital Technologies, focusing on Advanced Computational Methods Research and its application to Digital Engineering. This involves pathfinding of novel computing hardware and software architectures and connecting these with industrial application opportunities. Rick represents GE on several government and professional community advisory councils.

Rodrigo Lopez Negrete, PhD

Rodrigo Lopez Negrete obtained his BS and MSc from the Universidad Iberoamericana in Mexico City in 2005 and 2007, respectively. He obtained his PhD from Carnegie Mellon University in Pittsburgh, PA in 2011. All his degrees are in chemical engineering, specializing in process systems engineering, nonlinear programming, and controls.

Marissa Brennan_Headshot

Marissa Brennan is an Edison Engineer at GE Research that specializes in creating new materials and material processing capabilities. The durable innovations Marissa has been a part of creating contribute to substantial impacts in the aviation industry enabling safer, energy efficient, advanced technologies for flight.

CMC
Kristen joins a class of 19 being recognized for their outstanding contributions to the ceramic arts and sciences
Tube Watch is GE Healthcare’s predictive solution that is designed to remotely monitor and predict X-ray tube failures before any disruption occurs.
Saikat Ray Majumder

Dr. Saikat Ray Majumder is a lead scientist at GE Research. Saikat’s research interests are broadly in the confluence of physical-digital systems. Since joining GE in 2011 he has contributed in several technical and leadership roles to various projects, from risk quantification for large credit portfolios to reliability estimation and life predictions for aircraft engine modules to developing process monitoring algorithms for advanced manufacturing technologies such as Additive Manufacturing.

Mingye Wu

Dr. Mingye Wu is a Senior Scientist in the Radiation Imaging Lab at GE Research, Niskayuna, NY. Mingye has deep expertise in X-ray physics modeling and CT system correction algorithms. He is a key developer and administrator of CatSim -- GE's simulation toolkit for CT imaging for biomedical and industrial inspection. His main areas of focus include image quality improvement, radiation dose reduction, and protocol optimization.