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Researcher
- Hongbin Sun
- Stephen M Killough
- Alex Roschli
- Bryan Maldonado Puente
- Corey Cooke
- Diana E Hun
- Erin Webb
- Evin Carter
- Ilias Belharouak
- Jeremy Malmstead
- Kitty K Mccracken
- Mengdawn Cheng
- Nolan Hayes
- Oluwafemi Oyedeji
- Paula Cable-Dunlap
- Peter Wang
- Philip Boudreaux
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Ruhul Amin
- Ryan Kerekes
- Sally Ghanem
- Soydan Ozcan
- Tyler Smith
- Vishaldeep Sharma
- Xianhui Zhao

The invention presented here addresses key challenges associated with counterfeit refrigerants by ensuring safety, maintaining system performance, supporting environmental compliance, and mitigating health and legal risks.

The use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

We have developed an aerosol sampling technique to enable collection of trace materials such as actinides in the atmosphere.

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

Knowing the state of charge of lithium-ion batteries, used to power applications from electric vehicles to medical diagnostic equipment, is critical for long-term battery operation.

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.