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Researcher
- Diana E Hun
- Som Shrestha
- Philip Boudreaux
- Tomonori Saito
- Bryan Maldonado Puente
- Nolan Hayes
- Yong Chae Lim
- Zhili Feng
- Zoriana Demchuk
- Jian Chen
- Mahabir Bhandari
- Rangasayee Kannan
- Ryan Dehoff
- Shiwanka Vidarshi Wanasinghe Wanasinghe Mudiyanselage
- Venugopal K Varma
- Vincent Paquit
- Wei Zhang
- Achutha Tamraparni
- Adam Aaron
- Adam Stevens
- Akash Jag Prasad
- Andre O Desjarlais
- Brian Post
- Bryan Lim
- Calen Kimmell
- Canhai Lai
- Catalin Gainaru
- Charles D Ottinger
- Chris Tyler
- Clay Leach
- Costas Tsouris
- Dali Wang
- Gina Accawi
- Gurneesh Jatana
- James Haley
- James Parks II
- Jaydeep Karandikar
- Jiheon Jun
- Karen Cortes Guzman
- Kuma Sumathipala
- Mark M Root
- Mengjia Tang
- Natasha Ghezawi
- Peeyush Nandwana
- Peter Wang
- Priyanshi Agrawal
- Roger G Miller
- Sarah Graham
- Stephen M Killough
- Sudarsanam Babu
- Tomas Grejtak
- Venkatakrishnan Singanallur Vaidyanathan
- Vladimir Orlyanchik
- William Peter
- Yifang Liu
- Yiyu Wang
- Yukinori Yamamoto
- Zackary Snow
- 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.

System and method for part porosity monitoring of additively manufactured components using machining
In additive manufacturing, choice of process parameters for a given material and geometry can result in porosities in the build volume, which can result in scrap.

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 incorporation of low embodied carbon building materials in the enclosure is increasing the fuel load for fire, increasing the demand for fire/flame retardants.

Sensing of additive manufacturing processes promises to facilitate detailed quality inspection at scales that have seldom been seen in traditional manufacturing processes.

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.