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Researcher
- Steve Bullock
- Corson Cramer
- Ahmed Hassen
- Greg Larsen
- James Klett
- Nadim Hmeidat
- Trevor Aguirre
- Venkatakrishnan Singanallur Vaidyanathan
- Vlastimil Kunc
- Amir K Ziabari
- Diana E Hun
- Michael Kirka
- Philip Bingham
- Philip Boudreaux
- Ryan Dehoff
- Stephen M Killough
- Steven Guzorek
- Vincent Paquit
- Beth L Armstrong
- Brittany Rodriguez
- Bryan Maldonado Puente
- Charlie Cook
- Christopher Hershey
- Christopher Ledford
- Corey Cooke
- Craig Blue
- Dan Coughlin
- Daniel Rasmussen
- David J Mitchell
- David Nuttall
- Dustin Gilmer
- Gina Accawi
- Gurneesh Jatana
- John Holliman II
- John Lindahl
- Jordan Wright
- Mark M Root
- Nolan Hayes
- Obaid Rahman
- Peter Wang
- Ryan Kerekes
- Sally Ghanem
- Sana Elyas
- Subhabrata Saha
- Tomonori Saito
- Tony Beard
- Tyler Smith
- Vipin Kumar

This invention utilizes new techniques in machine learning to accelerate the training of ML-based communication receivers.

The ID provides a solution approach for faster chemical processing and carbon functional grading from SiC to MC to provide a tougher carbon and CMC structure.

The solution proposed here is a modified carbon-based tile face that is mechanically combined with an insulative backing. The tile face is based on a material architecture to minimize weight and thermal conductivity while maximizing thermal stability.

This technology aims to provide and integrated and oxidation resistant cladding or coating onto carbon-based composites in seconds.

Current technology for heating, ventilation, and air conditioning (HVAC) and other uses such as vending machines rely on refrigerants that have high global warming potential (GWP).

Silicon nitride fiber is a critical material mainly used in the aerospace industry but has many applications. This fiber is prized for its properties, as it is transparent to electromagnetic radiation but allows signals to go through it.

Technologies for optimizing prefab retrofit panel installation using a real-time evaluator is described.

Simurgh revolutionizes industrial CT imaging with AI, enhancing speed and accuracy in nondestructive testing for complex parts, reducing costs.