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Researcher
- Brian Post
- Peter Wang
- Andrzej Nycz
- Blane Fillingim
- Chris Masuo
- Ryan Dehoff
- Singanallur Venkatakrishnan
- Sudarsanam Babu
- Thomas Feldhausen
- Ahmed Hassen
- Amir K Ziabari
- Diana E Hun
- J.R. R Matheson
- Joshua Vaughan
- Lauren Heinrich
- Peeyush Nandwana
- Philip Bingham
- Philip Boudreaux
- Stephen M Killough
- Vincent Paquit
- Yousub Lee
- Adam Stevens
- Alex Roschli
- Amit Shyam
- Brian Gibson
- Bryan Maldonado Puente
- Cameron Adkins
- Christopher Fancher
- Chris Tyler
- Corey Cooke
- Craig Blue
- David Olvera Trejo
- Gina Accawi
- Gordon Robertson
- Gurneesh Jatana
- Isha Bhandari
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- John Lindahl
- John Potter
- Liam White
- Luke Meyer
- Mark M Root
- Michael Borish
- Michael Kirka
- Nolan Hayes
- Obaid Rahman
- Rangasayee Kannan
- Ritin Mathews
- Roger G Miller
- Ryan Kerekes
- Sally Ghanem
- Sarah Graham
- Scott Smith
- Steven Guzorek
- Vlastimil Kunc
- William Carter
- William Peter
- Yukinori Yamamoto

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

Complex protective casings and housings are necessary for many applications, including combustion chambers of gas turbines used in aerospace engines. Manufacturing these components from forging and/or casting as a whole is challenging, costly, and time-consuming.

In wire-arc additive manufacturing and hot-wire laser additive manufacturing, wire is fed into a melt pool and melted through the arc or laser process.

In manufacturing parts for industry using traditional molds and dies, about 70 percent to 80 percent of the time it takes to create a part is a result of a relatively slow cooling process.

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).

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