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Researcher
- Vivek Sujan
- Adam Siekmann
- Omer Onar
- Sam Hollifield
- Subho Mukherjee
- Chad Steed
- Erdem Asa
- Isabelle Snyder
- Junghoon Chae
- Mingyan Li
- Soydan Ozcan
- Travis Humble
- Xianhui Zhao
- Aaron Werth
- Alex Roschli
- Ali Passian
- Brian Weber
- Dali Wang
- Emilio Piesciorovsky
- Erin Webb
- Evin Carter
- Gary Hahn
- Halil Tekinalp
- Harper Jordan
- Hyeonsup Lim
- Isaac Sikkema
- Jason Jarnagin
- Jeremy Malmstead
- Jian Chen
- Joel Asiamah
- Joel Dawson
- Joseph Olatt
- Kevin Spakes
- Kitty K Mccracken
- Kunal Mondal
- Lilian V Swann
- Luke Koch
- Mahim Mathur
- Mark Provo II
- Mary A Adkisson
- Mengdawn Cheng
- Nance Ericson
- Oluwafemi Oyedeji
- Oscar Martinez
- Paula Cable-Dunlap
- Raymond Borges Hink
- Rob Root
- Samudra Dasgupta
- Sanjita Wasti
- Shajjad Chowdhury
- Srikanth Yoginath
- T Oesch
- Tyler Smith
- Varisara Tansakul
- Wei Zhang
- Yarom Polsky
- Zhili Feng

We have developed a novel extrusion-based 3D printing technique that can achieve a resolution of 0.51 mm layer thickness, and catalyst loading of 44% and 90.5% before and after drying, respectively.

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.

This invention is directed to a machine leaning methodology to quantify the association of a set of input variables to a set of output variables, specifically for the one-to-many scenarios in which the output exhibits a range of variations under the same replicated input condi

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.