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Researcher
- Vivek Sujan
- Omer Onar
- William Carter
- Adam Siekmann
- Alex Roschli
- Andrzej Nycz
- Brian Post
- Chad Steed
- Chris Masuo
- Erdem Asa
- Junghoon Chae
- Luke Meyer
- Subho Mukherjee
- Travis Humble
- Adam Stevens
- Alex Walters
- Amy Elliott
- Cameron Adkins
- Erin Webb
- Evin Carter
- Hyeonsup Lim
- Isabelle Snyder
- Isha Bhandari
- Jeremy Malmstead
- Joshua Vaughan
- Kitty K Mccracken
- Liam White
- Michael Borish
- Oluwafemi Oyedeji
- Peter Wang
- Rangasayee Kannan
- Roger G Miller
- Ryan Dehoff
- Samudra Dasgupta
- Sarah Graham
- Shajjad Chowdhury
- Soydan Ozcan
- Sudarsanam Babu
- Tyler Smith
- William Peter
- Xianhui Zhao
- Yukinori Yamamoto

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 use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

The QVis Quantum Device Circuit Optimization Module gives users the ability to map a circuit to a specific quantum devices based on the device specifications.

QVis is a visual analytics tool that helps uncover temporal and multivariate variations in noise properties of quantum devices.

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.

This invention presents an integrated strategy to reduce end-user electricity costs and grid carbon emissions by efficiently utilizing Distributed Energy Resources (DER) and grid-scale electrical energy storage systems, such as batteries.

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.