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Researcher
- Anees Alnajjar
- Diana E Hun
- Stephen M Killough
- Bryan Maldonado Puente
- Corey Cooke
- Craig A Bridges
- Easwaran Krishnan
- James Manley
- Jamieson Brechtl
- Joe Rendall
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- Kuma Sumathipala
- Mariam Kiran
- Mengjia Tang
- Muneeshwaran Murugan
- Nageswara Rao
- Nolan Hayes
- Peter Wang
- Philip Boudreaux
- Ryan Kerekes
- Sally Ghanem
- Sheng Dai
- Tomonori Saito
- Zoriana Demchuk

Here we present a solution for practically demonstrating path-aware routing and visualizing a self-driving network.

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.

Electrochemistry synthesis and characterization testing typically occurs manually at a research facility.

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.