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Researcher
- Ryan Dehoff
- Michael Kirka
- Vincent Paquit
- Adam Siekmann
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- Ahmed Hassen
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- Alice Perrin
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- Amit Shyam
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- Vipin Kumar
- Vivek Sujan
- Vlastimil Kunc
- William Peter
- Xiaohan Yang
- Yan-Ru Lin
- Yang Liu
- Ying Yang
- Yukinori Yamamoto

Detection of gene expression in plants is critical for understanding the molecular basis of plant physiology and plant responses to drought, stress, climate change, microbes, insects and other factors.

No readily available public data exists for vehicle class and weight information that covers the entire U.S. highway network. The Travel Monitoring Analysis System, managed by the Federal Highway Administration covers only less than 1% of the US highway network.

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.

Pairing hybrid neural network modeling techniques with artificial intelligence, or AI, controls has resulted in a unique hybrid system that creates a smart solution for traffic-signal timing.

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

The invention provides on-line analysis of droplets for mass spectrometry.

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

An innovative low-cost system for in-situ monitoring of strain and temperature during directed energy deposition.