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Researcher
- Kyle Gluesenkamp
- Yong Chae Lim
- Zhili Feng
- Bo Shen
- Jian Chen
- Melanie Moses-DeBusk Debusk
- Rangasayee Kannan
- Viswadeep Lebakula
- Wei Zhang
- Aaron Myers
- Adam Stevens
- Alexandre Sorokine
- Annetta Burger
- Brian Post
- Bryan Lim
- Carter Christopher
- Chance C Brown
- Clinton Stipek
- Dali Wang
- Daniel Adams
- Debraj De
- Dhruba Deka
- Eve Tsybina
- Gautam Malviya Thakur
- James Gaboardi
- James Manley
- Jesse McGaha
- Jessica Moehl
- Jiheon Jun
- Justin Cazares
- Kevin Sparks
- Liz McBride
- Matt Larson
- Navin Kumar
- Peeyush Nandwana
- Philipe Ambrozio Dias
- Priyanshi Agrawal
- Roger G Miller
- Ryan Dehoff
- Sarah Graham
- Sreshtha Sinha Majumdar
- Sudarsanam Babu
- Taylor Hauser
- Todd Thomas
- Tomas Grejtak
- Tugba Turnaoglu
- William Peter
- Xiaobing Liu
- Xiuling Nie
- Yeonshil Park
- Yifeng Hu
- Yiyu Wang
- Yukinori Yamamoto

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

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.

The invention describes a configuration of dishwasher using thermoelectric heat pumps that can accomplish energy savings and enhanced drying performance.

This invention aims to develop a new feature for a heat pump water heater having a forced flow condenser, coupled with a mixing valve, and a new feature to maximize the first hour rating and provide quick response to hot water demand, comparable to a typical gas water heater.&

Develop an innovative refrigerator having a thermoelectric cooler cascaded with a regular refrigerator compression system. the TE cooler dedicatedly controls the temperature in a freezer compartment.

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.

Lean-burn natural gas (NG) engines are a preferred choice for the hard-to-electrify sectors for higher efficiency and lower NOx emissions, but methane slip can be a challenge.

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