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Researcher
- Yong Chae Lim
- Rangasayee Kannan
- Zhili Feng
- Aaron Werth
- Adam Siekmann
- Adam Stevens
- Ali Passian
- Brian Post
- Bryan Lim
- Emilio Piesciorovsky
- Gary Hahn
- Harper Jordan
- Hong Wang
- Hyeonsup Lim
- Jason Jarnagin
- Jian Chen
- Jiheon Jun
- Joel Asiamah
- Joel Dawson
- Mark Provo II
- Nance Ericson
- Peeyush Nandwana
- Priyanshi Agrawal
- Raymond Borges Hink
- Rob Root
- Roger G Miller
- Ryan Dehoff
- Sarah Graham
- Srikanth Yoginath
- Sudarsanam Babu
- Tomas Grejtak
- Varisara Tansakul
- Vivek Sujan
- Wei Zhang
- William Peter
- Yarom Polsky
- Yiyu Wang
- Yukinori Yamamoto

A finite element approach integrated with a novel constitute model to predict phase change, residual stresses and part deformation.

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

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.

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.

Electrical utility substations are wired with intelligent electronic devices (IEDs), such as protective relays, power meters, and communication switches.

The technologies provide a coating method to produce corrosion resistant and electrically conductive coating layer on metallic bipolar plates for hydrogen fuel cell and hydrogen electrolyzer applications.

Welding high temperature and/or high strength materials for aerospace or automobile manufacturing is challenging.

Pairing hybrid neural network modeling techniques with artificial intelligence, or AI, controls has resulted in a unique hybrid system that creates a smart solution for traffic-signal timing.