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Researcher
- Diana E Hun
- Stephen M Killough
- Bryan Maldonado Puente
- Corey Cooke
- Easwaran Krishnan
- Gerald Tuskan
- Ilenne Del Valle Kessra
- James Manley
- Jamieson Brechtl
- Joe Rendall
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- Kashif Nawaz
- Kuma Sumathipala
- Mengjia Tang
- Muneeshwaran Murugan
- Nolan Hayes
- Paul Abraham
- Peter Wang
- Philip Boudreaux
- Ryan Kerekes
- Sally Ghanem
- Tomonori Saito
- Xiaohan Yang
- Yang Liu
- Zoriana Demchuk

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.

Detection of gene expression in plants is critical for understanding the molecular basis of plant physiology and plant responses to drought, stress, climate change, microbes, insects and other factors.

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.