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Researcher
- Alex Plotkowski
- Amit Shyam
- James A Haynes
- Stephen M Killough
- Sumit Bahl
- Alice Perrin
- Andres Marquez Rossy
- Bryan Maldonado Puente
- Corey Cooke
- Debangshu Mukherjee
- Diana E Hun
- Gerry Knapp
- Jovid Rakhmonov
- Md Inzamam Ul Haque
- Nicholas Richter
- Nolan Hayes
- Olga S Ovchinnikova
- Peeyush Nandwana
- Peter Wang
- Philip Boudreaux
- Ryan Dehoff
- Ryan Kerekes
- Sally Ghanem
- Sunyong Kwon
- Ying Yang

Currently available cast Al alloys are not suitable for various high-performance conductor applications, such as rotor, inverter, windings, busbar, heat exchangers/sinks, etc.

The invented alloys are a new family of Al-Mg alloys. This new family of Al-based alloys demonstrate an excellent ductility (10 簣 2 % elongation) despite the high content of impurities commonly observed in recycled aluminum.

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.

This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.

A high-strength, heat-resistant Al-Ce-Ni alloy optimized for additive manufacturing in industrial applications.