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Researcher
- Vivek Sujan
- Andrzej Nycz
- Corson Cramer
- Steve Bullock
- Chris Masuo
- Peter Wang
- Alex Walters
- Greg Larsen
- James Klett
- Omer Onar
- Trevor Aguirre
- Adam Siekmann
- Brian Gibson
- Erdem Asa
- Joshua Vaughan
- Luke Meyer
- Subho Mukherjee
- Udaya C Kalluri
- Vlastimil Kunc
- William Carter
- Ahmed Hassen
- Akash Jag Prasad
- Amit Shyam
- Beth L Armstrong
- Calen Kimmell
- Charlie Cook
- Chelo Chavez
- Christopher Fancher
- Christopher Hershey
- Christopher Ledford
- Chris Tyler
- Clay Leach
- Craig Blue
- Daniel Rasmussen
- David J Mitchell
- Dustin Gilmer
- Gordon Robertson
- Hyeonsup Lim
- Isabelle Snyder
- J.R. R Matheson
- Jaydeep Karandikar
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- John Lindahl
- John Potter
- Jordan Wright
- Michael Kirka
- Nadim Hmeidat
- Riley Wallace
- Ritin Mathews
- Sana Elyas
- Shajjad Chowdhury
- Steven Guzorek
- Tomonori Saito
- Tony Beard
- Vincent Paquit
- Vladimir Orlyanchik
- Xiaohan Yang

The growing demand for electric vehicles (EVs) has necessitated significant advancements in EV charging technologies to ensure efficient and reliable operation.

The growing demand for renewable energy sources has propelled the development of advanced power conversion systems, particularly in applications involving fuel cells.

The technologies provide additively manufactured thermal protection system.

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.

This invention focuses on improving the ceramic yield of preceramic polymers by tuning the crosslinking process that occurs during vat photopolymerization (VP).

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.

This invention presents a multiport converter (MPC) based power supply to charge the 12 V and 24 V auxiliary batteries in heavy duty (HD) fuel cell (FC) electric vehicle (EV) power train.