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Researcher
- Ryan Dehoff
- Michael Kirka
- Vincent Paquit
- Adam Stevens
- Ahmed Hassen
- Alex Plotkowski
- Alice Perrin
- Amir K Ziabari
- Amit Shyam
- Andres Marquez Rossy
- Annetta Burger
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- Brian Post
- Carter Christopher
- Chance C Brown
- Christopher Ledford
- Clay Leach
- David Nuttall
- Debraj De
- Diana E Hun
- Easwaran Krishnan
- Gautam Malviya Thakur
- James Gaboardi
- James Haley
- James Manley
- Jamieson Brechtl
- Jason Jarnagin
- Jesse McGaha
- Joe Rendall
- Karen Cortes Guzman
- Kashif Nawaz
- Kevin Spakes
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- Kuma Sumathipala
- Lilian V Swann
- Liz McBride
- Mark Provo II
- Mengjia Tang
- Muneeshwaran Murugan
- Patxi Fernandez-Zelaia
- Peeyush Nandwana
- Philip Bingham
- Rangasayee Kannan
- Rob Root
- Roger G Miller
- Sam Hollifield
- Sarah Graham
- Sudarsanam Babu
- Todd Thomas
- Tomonori Saito
- Venkatakrishnan Singanallur Vaidyanathan
- Vipin Kumar
- Vlastimil Kunc
- William Peter
- Xiuling Nie
- Yan-Ru Lin
- Ying Yang
- Yukinori Yamamoto
- Zoriana Demchuk

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).

Estimates based on the U.S. Department of Energy (DOE) test procedure for water heaters indicate that the equivalent of 350 billion kWh worth of hot water is discarded annually through drains, and a large portion of this energy is, in fact, recoverable.

The incorporation of low embodied carbon building materials in the enclosure is increasing the fuel load for fire, increasing the demand for fire/flame retardants.

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

In manufacturing parts for industry using traditional molds and dies, about 70 percent to 80 percent of the time it takes to create a part is a result of a relatively slow cooling process.

This technology combines 3D printing and compression molding to produce high-strength, low-porosity composite articles.

Simurgh revolutionizes industrial CT imaging with AI, enhancing speed and accuracy in nondestructive testing for complex parts, reducing costs.