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Researcher
- Diana E Hun
- Som Shrestha
- Philip Boudreaux
- Rafal Wojda
- Tomonori Saito
- Bryan Maldonado Puente
- Nolan Hayes
- Prasad Kandula
- Zoriana Demchuk
- Chad Steed
- Junghoon Chae
- Mahabir Bhandari
- Shiwanka Vidarshi Wanasinghe Wanasinghe Mudiyanselage
- Travis Humble
- Vandana Rallabandi
- Venugopal K Varma
- Achutha Tamraparni
- Adam Aaron
- Alex Plotkowski
- Andre O Desjarlais
- Annetta Burger
- Carter Christopher
- Catalin Gainaru
- Chance C Brown
- Charles D Ottinger
- Christopher Fancher
- Debraj De
- Gautam Malviya Thakur
- Gina Accawi
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- Kevin Sparks
- Kuma Sumathipala
- Liz McBride
- Marcio Magri Kimpara
- Mark M Root
- Mengjia Tang
- Mostak Mohammad
- Natasha Ghezawi
- Omer Onar
- Peter Wang
- Praveen Kumar
- Samudra Dasgupta
- Shajjad Chowdhury
- Stephen M Killough
- Subho Mukherjee
- Suman Debnath
- Todd Thomas
- Venkatakrishnan Singanallur Vaidyanathan
- Xiuling Nie
- Yifang Liu
- Zhenglai Shen

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

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.

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.

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

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.

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.

An ORNL invention proposes using 3D printing to make conductors with space-filling thin-wall cross sections. Space-filling thin-wall profiles will maximize the conductor volume while restricting the path for eddy currents induction.