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Researcher
- Omer Onar
- Subho Mukherjee
- Vivek Sujan
- Brian Post
- Mostak Mohammad
- Vandana Rallabandi
- Chris Tyler
- Justin West
- Peter Wang
- Andrzej Nycz
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- Blane Fillingim
- Burak Ozpineci
- Chris Masuo
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- Peeyush Nandwana
- Sudarsanam Babu
- Thomas Feldhausen
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- Gui-Jia Su
- Isabelle Snyder
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- Jaydeep Karandikar
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- Rangasayee Kannan
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- Scott Smith
- Veda Prakash Galigekere
- William Carter
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- Akash Jag Prasad
- Alex Roschli
- Ali Riza Ekti
- Amir K Ziabari
- Amit Shyam
- Amy Elliott
- Beth L Armstrong
- Brian Gibson
- Calen Kimmell
- Cameron Adkins
- Christopher Fancher
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- Corson Cramer
- Craig Blue
- Emma Betters
- Fred List III
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- Hong Wang
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- Rafal Wojda
- Richard Howard
- Roger G Miller
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- Steven Guzorek
- Thomas Butcher
- Tony L Schmitz
- Trevor Aguirre
- Venkatakrishnan Singanallur Vaidyanathan
- Vincent Paquit
- Vladimir Orlyanchik
- Vlastimil Kunc
- William Peter
- Yukinori Yamamoto

Quantifying tool wear is historically challenging task due to variable human interpretation. This capture system will allow for an entire side and the complete end of the cutting tool to be analyzed.
Red mud residue is an industrial waste product generated during the processing of bauxite ore to extract alumina for the steelmaking industry. Red mud is rich in minerals in bauxite like iron and aluminum oxide, but also heavy metals, including arsenic and mercury.

No readily available public data exists for vehicle class and weight information that covers the entire U.S. highway network. The Travel Monitoring Analysis System, managed by the Federal Highway Administration covers only less than 1% of the US highway network.

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.

This disclosure introduces an innovative tool that capitalizes on historical data concerning the carbon intensity of the grid, distinct to each electric zone.

This disclosure introduces an innovative tool that capitalizes on historical data concerning the carbon intensity of the grid, distinct to each electric zone.