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Researcher
- Andrzej Nycz
- Chris Masuo
- Kyle Gluesenkamp
- Peter Wang
- Alex Walters
- Srikanth Yoginath
- Bo Shen
- Brian Gibson
- James J Nutaro
- Joshua Vaughan
- Luke Meyer
- Melanie Moses-DeBusk Debusk
- Pratishtha Shukla
- Sudip Seal
- Udaya C Kalluri
- William Carter
- Akash Jag Prasad
- Ali Passian
- Amit Shyam
- Calen Kimmell
- Chelo Chavez
- Christopher Fancher
- Chris Tyler
- Clay Leach
- Dhruba Deka
- Gordon Robertson
- Harper Jordan
- J.R. R Matheson
- James Manley
- Jaydeep Karandikar
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- Joel Asiamah
- Joel Dawson
- John Potter
- Nance Ericson
- Navin Kumar
- Pablo Moriano Salazar
- Riley Wallace
- Ritin Mathews
- Sreshtha Sinha Majumdar
- Tugba Turnaoglu
- Varisara Tansakul
- Vincent Paquit
- Vladimir Orlyanchik
- Xiaobing Liu
- Xiaohan Yang
- Yeonshil Park
- Yifeng Hu

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.

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.

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

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.

We present the design, assembly and demonstration of functionality for a new custom integrated robotics-based automated soil sampling technology as part of a larger vision for future edge computing- and AI- enabled bioenergy field monitoring and management technologies called

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.

Creating a framework (method) for bots (agents) to autonomously, in real time, dynamically divide and execute a complex manufacturing (or any suitable) task in a collaborative, parallel-sequential way without required human interaction.