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Researcher
- Beth L Armstrong
- Jun Qu
- Alex Plotkowski
- Amit Shyam
- Corson Cramer
- James A Haynes
- Meghan Lamm
- Stephen M Killough
- Steve Bullock
- Sumit Bahl
- Tomas Grejtak
- Alice Perrin
- Ben Lamm
- Bryan Lim
- Bryan Maldonado Puente
- Christopher Ledford
- Corey Cooke
- David J Mitchell
- Diana E Hun
- Ethan Self
- Gabriel Veith
- Gerry Knapp
- James Klett
- John Holliman II
- Jordan Wright
- Jovid Rakhmonov
- Khryslyn G Araño
- Marm Dixit
- Matthew S Chambers
- Michael Kirka
- Nancy Dudney
- Nicholas Richter
- Nolan Hayes
- Peeyush Nandwana
- Peter Wang
- Philip Boudreaux
- Rangasayee Kannan
- Ryan Kerekes
- Sally Ghanem
- Sergiy Kalnaus
- Shajjad Chowdhury
- Sunyong Kwon
- Tolga Aytug
- Trevor Aguirre
- Ying Yang
- Yiyu Wang

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

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).

Electric vehicle drive fluids must have a high dielectric constant to avoid current leakage or even short circuits. On the other hand, lubricants should possess sufficient conductivity to allow static electricity to be released.

Technologies for optimizing prefab retrofit panel installation using a real-time evaluator is described.
Ionic liquids comprising quaternary ammonium and phosphonium cations have been developed as eco-friendly lubricant additives. These additives are tailored for use in environmentally acceptable lubricants (EALs) like polyalkylene glycols, vegetable oils, and synthetic esters.