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Researcher
- Diana E Hun
- Beth L Armstrong
- Som Shrestha
- Philip Boudreaux
- Tomonori Saito
- Alex Plotkowski
- Amit Shyam
- Jun Qu
- Srikanth Yoginath
- Zoriana Demchuk
- Anees Alnajjar
- Bryan Maldonado Puente
- Corson Cramer
- James A Haynes
- James J Nutaro
- Mahabir Bhandari
- Meghan Lamm
- Nolan Hayes
- Peeyush Nandwana
- Pratishtha Shukla
- Sergiy Kalnaus
- Shiwanka Vidarshi Wanasinghe Wanasinghe Mudiyanselage
- Steve Bullock
- Sudip Seal
- Sumit Bahl
- Tomas Grejtak
- Venugopal K Varma
- Achutha Tamraparni
- Adam Aaron
- Alice Perrin
- Ali Passian
- Andre O Desjarlais
- Andres Marquez Rossy
- Ben Lamm
- Bryan Lim
- Catalin Gainaru
- Charles D Ottinger
- Christopher Ledford
- Craig A Bridges
- David J Mitchell
- Ethan Self
- Femi Omitaomu
- Gabriel Veith
- Georgios Polyzos
- Gerry Knapp
- Gina Accawi
- Gurneesh Jatana
- Haowen Xu
- Harper Jordan
- James Klett
- Jaswinder Sharma
- Joel Asiamah
- Joel Dawson
- Jordan Wright
- Jovid Rakhmonov
- Karen Cortes Guzman
- Khryslyn G Araño
- Kuma Sumathipala
- Mariam Kiran
- Mark M Root
- Marm Dixit
- Matthew S Chambers
- Mengjia Tang
- Michael Kirka
- Nageswara Rao
- Nance Ericson
- Nancy Dudney
- Natasha Ghezawi
- Nicholas Richter
- Peter Wang
- Rangasayee Kannan
- Ryan Dehoff
- Shajjad Chowdhury
- Sheng Dai
- Stephen M Killough
- Sunyong Kwon
- Tolga Aytug
- Trevor Aguirre
- Varisara Tansakul
- Venkatakrishnan Singanallur Vaidyanathan
- Ying Yang
- Yiyu Wang
- Zhenglai Shen

Here we present a solution for practically demonstrating path-aware routing and visualizing a self-driving network.

Currently available cast Al alloys are not suitable for various high-performance conductor applications, such as rotor, inverter, windings, busbar, heat exchangers/sinks, etc.

The invented alloys are a new family of Al-Mg alloys. This new family of Al-based alloys demonstrate an excellent ductility (10 ± 2 % elongation) despite the high content of impurities commonly observed in recycled aluminum.

We have been working to adapt background oriented schlieren (BOS) imaging to directly visualize building leakage, which is fast and easy.

We developed and incorporated two innovative mPET/Cu and mPET/Al foils as current collectors in LIBs to enhance cell energy density under XFC conditions.

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.

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.

Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.

The incorporation of low embodied carbon building materials in the enclosure is increasing the fuel load for fire, increasing the demand for fire/flame retardants.