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Researcher
- Amit Shyam
- Alex Plotkowski
- Rafal Wojda
- Prasad Kandula
- Srikanth Yoginath
- Chad Steed
- Christopher Fancher
- James A Haynes
- James J Nutaro
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- Pratishtha Shukla
- Rangasayee Kannan
- Ryan Dehoff
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- Vandana Rallabandi
- Adam Stevens
- Alice Perrin
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- Andres Marquez Rossy
- Annetta Burger
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- Carter Christopher
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- Debraj De
- Gautam Malviya Thakur
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- Jovid Rakhmonov
- Kevin Sparks
- Liz McBride
- Marcio Magri Kimpara
- Mostak Mohammad
- Nance Ericson
- Nicholas Richter
- Omer Onar
- Pablo Moriano Salazar
- Peter Wang
- Praveen Kumar
- Roger G Miller
- Samudra Dasgupta
- Sarah Graham
- Shajjad Chowdhury
- Subho Mukherjee
- Sudarsanam Babu
- Suman Debnath
- Sunyong Kwon
- Todd Thomas
- Tomas Grejtak
- Varisara Tansakul
- William Peter
- Xiuling Nie
- Ying Yang
- Yiyu Wang
- Yukinori Yamamoto

Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.

Misalignment issues of the PWPT system have been addressed. The intercell power transformer has been introduced in order to improve load sharing of the system during a mismatch of the primary single-phase coil and the secondary multi-phase coils.

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.

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

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.