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Researcher
- Diana E Hun
- Som Shrestha
- Philip Boudreaux
- Tomonori Saito
- Bryan Maldonado Puente
- Nolan Hayes
- Sam Hollifield
- Yong Chae Lim
- Zhili Feng
- Zoriana Demchuk
- Chad Steed
- Jian Chen
- Junghoon Chae
- Mahabir Bhandari
- Mingyan Li
- Rangasayee Kannan
- Shiwanka Vidarshi Wanasinghe Wanasinghe Mudiyanselage
- Travis Humble
- Venugopal K Varma
- Wei Zhang
- Aaron Werth
- Achutha Tamraparni
- Adam Aaron
- Adam Stevens
- Ali Passian
- Andre O Desjarlais
- Brian Post
- Brian Weber
- Bryan Lim
- Catalin Gainaru
- Charles D Ottinger
- Dali Wang
- Emilio Piesciorovsky
- Gary Hahn
- Gina Accawi
- Gurneesh Jatana
- Harper Jordan
- Isaac Sikkema
- Jason Jarnagin
- Jiheon Jun
- Joel Asiamah
- Joel Dawson
- Joseph Olatt
- Karen Cortes Guzman
- Kevin Spakes
- Kuma Sumathipala
- Kunal Mondal
- Lilian V Swann
- Luke Koch
- Mahim Mathur
- Mark M Root
- Mark Provo II
- Mary A Adkisson
- Mengjia Tang
- Nance Ericson
- Natasha Ghezawi
- Oscar Martinez
- Peeyush Nandwana
- Peter Wang
- Priyanshi Agrawal
- Raymond Borges Hink
- Rob Root
- Roger G Miller
- Ryan Dehoff
- Samudra Dasgupta
- Sarah Graham
- Srikanth Yoginath
- Stephen M Killough
- Sudarsanam Babu
- T Oesch
- Tomas Grejtak
- Varisara Tansakul
- Venkatakrishnan Singanallur Vaidyanathan
- William Peter
- Yarom Polsky
- Yifang Liu
- Yiyu Wang
- Yukinori Yamamoto
- Zhenglai Shen

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.

A finite element approach integrated with a novel constitute model to predict phase change, residual stresses and part deformation.

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

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

This invention is directed to a machine leaning methodology to quantify the association of a set of input variables to a set of output variables, specifically for the one-to-many scenarios in which the output exhibits a range of variations under the same replicated input condi

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.

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.