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Researcher
- Vivek Sujan
- Peeyush Nandwana
- Adam Siekmann
- Omer Onar
- Sam Hollifield
- Subho Mukherjee
- Amit Shyam
- Blane Fillingim
- Brian Post
- Chad Steed
- Erdem Asa
- Isabelle Snyder
- Junghoon Chae
- Lauren Heinrich
- Mingyan Li
- Rangasayee Kannan
- Sudarsanam Babu
- Thomas Feldhausen
- Travis Humble
- Yousub Lee
- Aaron Werth
- Alex Plotkowski
- Ali Passian
- Andres Marquez Rossy
- Brian Weber
- Bruce A Pint
- Bryan Lim
- Christopher Fancher
- Emilio Piesciorovsky
- Gary Hahn
- Gordon Robertson
- Harper Jordan
- Hyeonsup Lim
- Isaac Sikkema
- Jason Jarnagin
- Jay Reynolds
- Jeff Brookins
- Joel Asiamah
- Joel Dawson
- Joseph Olatt
- Kevin Spakes
- Kunal Mondal
- Lilian V Swann
- Luke Koch
- Mahim Mathur
- Mark Provo II
- Mary A Adkisson
- Nance Ericson
- Oscar Martinez
- Peter Wang
- Raymond Borges Hink
- Rob Root
- Ryan Dehoff
- Samudra Dasgupta
- Shajjad Chowdhury
- Srikanth Yoginath
- Steven J Zinkle
- Tim Graening Seibert
- T Oesch
- Tomas Grejtak
- Varisara Tansakul
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Yanli Wang
- Yarom Polsky
- Ying Yang
- Yiyu Wang
- Yutai Kato

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 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.

A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.

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.