~10 years' wet & solid-state chemistry experience. Strong synthetic, characterization, and processing skills for both inorganic and organic materials. Areas of expertise:
Dr. Naresh Iyer is a Principal Scientist in the AI and Machine Learning group at GE Research. He has 20 years of experience in the research and application of machine learning to a variety of industry problems, including asset life prognostics, surrogate modeling, multi-objective optimization and decision making under uncertainty. He has developed solutions for a diverse range of industrial applications using methods in supervised, unsupervised, semi-supervised learning and evolutionary soft computing.
After joining GE Research as a magnetic resonance scientist in 2008, Desmond worked on multiple projects at various stages of the R&D pipeline. One of his earliest works at GE Research was the conception of a dual-function MRI-RF hyperthermia applicator for improved imaging and targeted application of sub-lethal heat that is used as an adjuvant to radio- or chemotherapy for cancer treatment. This work was recognized with a first-prize award in the engineering category at the ISMRM 2011 conference.
Tim has over 25 years of electrical engineering experience in MEMS and semiconductor testing, power systems, electronics for biomedical, navigation, inertial sensing, and various types of instrumentation.
He has design skills in electronics board layout (Altium, Eagle) and mechanical CAD (Solidworks, Inventor).
Craig started his career at GE Research in the Advanced Packaging team for semiconductor devices. This involved flexible circuits, high density integration, chips on flex, and RF device processing. He then worked for several years on the development team focusing on digital X-ray imaging. This consisted of thin film deposition of X-ray scintillators, high vacuum experience, and exposure to GE Research's internal quality system. More recently, Craig has been involved with novel microfluidic and bioelectronics device development. He designed flexible laminated microfluidic devices, rapid
Before joining GE Research in 2004, Randy worked for QuEST, LLC for 7.5 years building various finite element models for customers such as GE, Pratt & Whitney, and Polaris.
