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Researcher
- Diana E Hun
- Som Shrestha
- Philip Boudreaux
- Tomonori Saito
- Bryan Maldonado Puente
- Nolan Hayes
- Srikanth Yoginath
- Zoriana Demchuk
- Chad Steed
- James J Nutaro
- Junghoon Chae
- Mahabir Bhandari
- Pratishtha Shukla
- Shiwanka Vidarshi Wanasinghe Wanasinghe Mudiyanselage
- Sudip Seal
- Travis Humble
- Venugopal K Varma
- Achutha Tamraparni
- Adam Aaron
- Ali Passian
- Andre O Desjarlais
- Annetta Burger
- Bryan Lim
- Carter Christopher
- Catalin Gainaru
- Chance C Brown
- Charles D Ottinger
- Dave Willis
- Debraj De
- Gautam Malviya Thakur
- Gina Accawi
- Gurneesh Jatana
- Harper Jordan
- James Gaboardi
- Jesse McGaha
- Joel Asiamah
- Joel Dawson
- Karen Cortes Guzman
- Kevin Sparks
- Kuma Sumathipala
- Liz McBride
- Luke Chapman
- Mark M Root
- Mengjia Tang
- Nance Ericson
- Natasha Ghezawi
- Pablo Moriano Salazar
- Peeyush Nandwana
- Peter Wang
- Rangasayee Kannan
- Samudra Dasgupta
- Stephen M Killough
- Sydney Murray III
- Todd Thomas
- Tomas Grejtak
- Varisara Tansakul
- Vasilis Tzoganis
- Vasiliy Morozov
- Venkatakrishnan Singanallur Vaidyanathan
- Xiuling Nie
- Yifang Liu
- Yiyu Wang
- Yun 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.

We presented a novel apparatus and method for laser beam position detection and pointing stabilization using analog position-sensitive diodes (PSDs).

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

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.

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.

Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.

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.