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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
- Shiwanka Vidarshi Wanasinghe Wanasinghe Mudiyanselage
- Venugopal K Varma
- Viswadeep Lebakula
- Wei Zhang
- Aaron Myers
- Achutha Tamraparni
- Adam Aaron
- Adam Stevens
- Alexandre Sorokine
- Andre O Desjarlais
- Annetta Burger
- Brian Post
- Bryan Lim
- Carter Christopher
- Catalin Gainaru
- Chance C Brown
- Charles D Ottinger
- Clinton Stipek
- Dali Wang
- Daniel Adams
- Debraj De
- Eve Tsybina
- Gautam Malviya Thakur
- Gina Accawi
- Gurneesh Jatana
- James Gaboardi
- Jesse McGaha
- Jessica Moehl
- Jiheon Jun
- Justin Cazares
- Karen Cortes Guzman
- Kevin Sparks
- Kuma Sumathipala
- Liz McBride
- Mark M Root
- Matt Larson
- Mengjia Tang
- Natasha Ghezawi
- Peeyush Nandwana
- Peter Wang
- Philipe Ambrozio Dias
- Priyanshi Agrawal
- Roger G Miller
- Ryan Dehoff
- Sarah Graham
- Stephen M Killough
- Sudarsanam Babu
- Taylor Hauser
- Todd Thomas
- Tomas Grejtak
- Venkatakrishnan Singanallur Vaidyanathan
- William Peter
- Xiuling Nie
- Yifang Liu
- Yiyu Wang
- Yukinori Yamamoto
- 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.

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

Understanding building height is imperative to the overall study of energy efficiency, population distribution, urban morphologies, emergency response, among others. Currently, existing approaches for modelling building height at scale are hindered by two pervasive issues.

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.

Water heaters and heating, ventilation, and air conditioning (HVAC) systems collectively consume about 58% of home energy use.

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.