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Researcher
- Alex Plotkowski
- Amit Shyam
- Srikanth Yoginath
- James A Haynes
- James J Nutaro
- Peeyush Nandwana
- Pratishtha Shukla
- Stephen M Killough
- Sudip Seal
- Sumit Bahl
- Alice Perrin
- Ali Passian
- Andres Marquez Rossy
- Bryan Lim
- Bryan Maldonado Puente
- Corey Cooke
- Diana E Hun
- Gerry Knapp
- Harper Jordan
- Joel Asiamah
- Joel Dawson
- Jovid Rakhmonov
- Nance Ericson
- Nicholas Richter
- Nolan Hayes
- Pablo Moriano Salazar
- Peter Wang
- Philip Boudreaux
- Rangasayee Kannan
- Ryan Dehoff
- Ryan Kerekes
- Sally Ghanem
- Sunyong Kwon
- Tomas Grejtak
- Varisara Tansakul
- Ying Yang
- Yiyu Wang

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 ± 2 % elongation) despite the high content of impurities commonly observed in recycled aluminum.

A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.

Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.

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).