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Researcher
- Andrzej Nycz
- Amit Shyam
- Chris Masuo
- Peter Wang
- Alex Plotkowski
- Alex Walters
- Brian Gibson
- James A Haynes
- Joshua Vaughan
- Luke Meyer
- Ryan Dehoff
- Sumit Bahl
- Udaya C Kalluri
- William Carter
- Adam Stevens
- Akash Jag Prasad
- Alice Perrin
- Andres Marquez Rossy
- Brian Post
- Calen Kimmell
- Chelo Chavez
- Christopher Fancher
- Chris Tyler
- Clay Leach
- Dean T Pierce
- Gerry Knapp
- Glenn R Romanoski
- Gordon Robertson
- Govindarajan Muralidharan
- J.R. R Matheson
- Jaydeep Karandikar
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- John Potter
- Jovid Rakhmonov
- Nicholas Richter
- Peeyush Nandwana
- Rangasayee Kannan
- Riley Wallace
- Ritin Mathews
- Roger G Miller
- Rose Montgomery
- Sarah Graham
- Sudarsanam Babu
- Sunyong Kwon
- Thomas R Muth
- Venugopal K Varma
- Vincent Paquit
- Vladimir Orlyanchik
- William Peter
- Xiaohan Yang
- Ying Yang
- Yukinori Yamamoto

Currently available cast Al alloys are not suitable for various high-performance conductor applications, such as rotor, inverter, windings, busbar, heat exchangers/sinks, etc.

The invented alloys are a new family of Al-Mg alloys. This new family of Al-based alloys demonstrate an excellent ductility (10 ± 2 % elongation) despite the high content of impurities commonly observed in recycled aluminum.

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 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.

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

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.

Materials produced via additive manufacturing, or 3D printing, can experience significant residual stress, distortion and cracking, negatively impacting the manufacturing process.

In additive printing that utilizes multiple robotic agents to build, each agent, or “arm”, is currently limited to a prescribed path determined by the user.

This invention discusses the methodology to calibrating a multi-robot system with an arbitrary number of agents to obtain single coordinate frame with high accuracy.