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Researcher
- Diana E Hun
- Stephen M Killough
- Bryan Maldonado Puente
- Corey Cooke
- Easwaran Krishnan
- James Manley
- Jamieson Brechtl
- Jason Jarnagin
- Joe Rendall
- Karen Cortes Guzman
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- Kuma Sumathipala
- Lilian V Swann
- Mark Provo II
- Mengjia Tang
- Muneeshwaran Murugan
- Nolan Hayes
- Peter Wang
- Philip Boudreaux
- Rob Root
- Ryan Kerekes
- Sally Ghanem
- Sam Hollifield
- Tomonori Saito
- Zoriana Demchuk

The ever-changing cellular communication landscape makes it difficult to identify, map, and localize commercial and private cellular base stations (PCBS).

Estimates based on the U.S. Department of Energy (DOE) test procedure for water heaters indicate that the equivalent of 350 billion kWh worth of hot water is discarded annually through drains, and a large portion of this energy is, in fact, recoverable.

The incorporation of low embodied carbon building materials in the enclosure is increasing the fuel load for fire, increasing the demand for fire/flame retardants.

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

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.