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Researcher
- Ryan Dehoff
- Srikanth Yoginath
- Chad Steed
- James J Nutaro
- Junghoon Chae
- Michael Kirka
- Peeyush Nandwana
- Pratishtha Shukla
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- Vincent Paquit
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- Ahmed Hassen
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- Amit Shyam
- Andres Marquez Rossy
- Annetta Burger
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- Lilian V Swann
- Liz McBride
- Mark Provo II
- Nance Ericson
- Pablo Moriano Salazar
- Patxi Fernandez-Zelaia
- Philip Bingham
- Rob Root
- Roger G Miller
- Sam Hollifield
- Samudra Dasgupta
- Sarah Graham
- Sudarsanam Babu
- Todd Thomas
- Tomas Grejtak
- Varisara Tansakul
- Venkatakrishnan Singanallur Vaidyanathan
- Vipin Kumar
- Vlastimil Kunc
- William Peter
- Xiuling Nie
- Yan-Ru Lin
- Ying Yang
- Yiyu Wang
- Yukinori Yamamoto

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

The ever-changing cellular communication landscape makes it difficult to identify, map, and localize commercial and private cellular base stations (PCBS).

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.

The QVis Quantum Device Circuit Optimization Module gives users the ability to map a circuit to a specific quantum devices based on the device specifications.

QVis is a visual analytics tool that helps uncover temporal and multivariate variations in noise properties of quantum devices.

High strength, oxidation resistant refractory alloys are difficult to fabricate for commercial use in extreme environments.