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Researcher
- Diana E Hun
- Ryan Dehoff
- Som Shrestha
- Philip Boudreaux
- Tomonori Saito
- Anees Alnajjar
- Bryan Maldonado Puente
- Nolan Hayes
- Zoriana Demchuk
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- Nageswara Rao
- Shiwanka Vidarshi Wanasinghe Wanasinghe Mudiyanselage
- Venkatakrishnan Singanallur Vaidyanathan
- Venugopal K Varma
- Vincent Paquit
- Achutha Tamraparni
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- Karen Cortes Guzman
- Kuma Sumathipala
- Mariam Kiran
- Mark M Root
- Mengjia Tang
- Natasha Ghezawi
- Patxi Fernandez-Zelaia
- Peeyush Nandwana
- Peter Wang
- Philip Bingham
- Rangasayee Kannan
- Roger G Miller
- Sarah Graham
- Sheng Dai
- Stephen M Killough
- Sudarsanam Babu
- Vipin Kumar
- Vlastimil Kunc
- William Peter
- Yan-Ru Lin
- Yifang Liu
- Ying Yang
- Yukinori Yamamoto
- Zhenglai Shen

The eDICEML digital twin is proposed which emulates networks and hosts of an instrument-computing ecosystem. It runs natively on an ecosystem’s host or as a portable virtual machine.

Here we present a solution for practically demonstrating path-aware routing and visualizing a self-driving network.

We’ve developed a more cost-effective cable driven robot system for installing prefabricated panelized building envelopes. Traditional cable robots use eight cables, which require extra support structures, making setup complex and expensive.

We have been working to adapt background oriented schlieren (BOS) imaging to directly visualize building leakage, which is fast and easy.

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.

Electrochemistry synthesis and characterization testing typically occurs manually at a research facility.

The traditional window installation process involves many steps. These are becoming even more complex with newer construction requirements such as installation of windows over exterior continuous insulation walls.

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