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Researcher
- Vivek Sujan
- Omer Onar
- Sam Hollifield
- Adam Siekmann
- Chad Steed
- Erdem Asa
- Junghoon Chae
- Mingyan Li
- Subho Mukherjee
- Travis Humble
- Aaron Werth
- Ali Passian
- Andrew F May
- Ben Garrison
- Brad Johnson
- Brian Weber
- Charlie Cook
- Christopher Hershey
- Craig Blue
- Daniel Rasmussen
- Emilio Piesciorovsky
- Gary Hahn
- Harper Jordan
- Hsin Wang
- Hyeonsup Lim
- Isaac Sikkema
- Isabelle Snyder
- James Klett
- Jason Jarnagin
- Joel Asiamah
- Joel Dawson
- John Lindahl
- Joseph Olatt
- Kevin Spakes
- Kunal Mondal
- Lilian V Swann
- Luke Koch
- Mahim Mathur
- Mark Provo II
- Mary A Adkisson
- Mike Zach
- Nance Ericson
- Nedim Cinbiz
- Oscar Martinez
- Raymond Borges Hink
- Rob Root
- Samudra Dasgupta
- Shajjad Chowdhury
- Srikanth Yoginath
- T Oesch
- Tony Beard
- Varisara Tansakul
- Yarom Polsky

The ever-changing cellular communication landscape makes it difficult to identify, map, and localize commercial and private cellular base stations (PCBS).

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 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.

The technologies provide a system and method of needling of veiled AS4 fabric tape.

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.