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Researcher
- Rama K Vasudevan
- Ryan Dehoff
- Sergei V Kalinin
- Yongtao Liu
- Edgar Lara-Curzio
- Kevin M Roccapriore
- Kyle Kelley
- Maxim A Ziatdinov
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- Michael Kirka
- Rishi Pillai
- Stephen Jesse
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- Vincent Paquit
- Yanli Wang
- Yutai Kato
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- Ahmed Hassen
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- Amir K Ziabari
- Amit Shyam
- An-Ping Li
- Andres Marquez Rossy
- Andrew Lupini
- Anton Ievlev
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- Bishnu Prasad Thapaliya
- Blane Fillingim
- Bogdan Dryzhakov
- Brandon Johnston
- Brian Fricke
- Brian Post
- Charles Hawkins
- Chengyun Hua
- Christopher Ledford
- Christopher Rouleau
- Clay Leach
- Costas Tsouris
- David Nuttall
- Debangshu Mukherjee
- Frederic Vautard
- Gabor Halasz
- Gerd Duscher
- Gs Jung
- Gyoung Gug Jang
- Hoyeon Jeon
- Huixin (anna) Jiang
- Ilia N Ivanov
- Ivan Vlassiouk
- James Haley
- Jamieson Brechtl
- Jewook Park
- Jiaqiang Yan
- Jiheon Jun
- Jong K Keum
- Kai Li
- Kyle Gluesenkamp
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marie Romedenne
- Marti Checa Nualart
- Md Inzamam Ul Haque
- Meghan Lamm
- Mina Yoon
- Neus Domingo Marimon
- Nickolay Lavrik
- Nidia Gallego
- Ondrej Dyck
- Patxi Fernandez-Zelaia
- Peeyush Nandwana
- Petro Maksymovych
- Philip Bingham
- Priyanshi Agrawal
- Radu Custelcean
- Rangasayee Kannan
- Roger G Miller
- Saban Hus
- Sai Mani Prudhvi Valleti
- Sarah Graham
- Shajjad Chowdhury
- Steven Randolph
- Sudarsanam Babu
- Sumner Harris
- Tim Graening Seibert
- Tolga Aytug
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- Venkatakrishnan Singanallur Vaidyanathan
- Vipin Kumar
- Vlastimil Kunc
- Weicheng Zhong
- Wei Tang
- William Peter
- Xiang Chen
- Xiaobing Liu
- Yan-Ru Lin
- Yong Chae Lim
- Yukinori Yamamoto
- Zhili Feng
- Zhiming Gao

Simurgh revolutionizes industrial CT imaging with AI, enhancing speed and accuracy in nondestructive testing for complex parts, reducing costs.

This invention introduces a system for microscopy called pan-sharpening, enabling the generation of images with both full-spatial and full-spectral resolution without needing to capture the entire dataset, significantly reducing data acquisition time.

An innovative low-cost system for in-situ monitoring of strain and temperature during directed energy deposition.

This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.

This technology introduces an advanced machine learning approach for enhancing chemical imaging by correlating data from two mass spectrometry imaging (MSI) techniques.

A high-strength, heat-resistant Al-Ce-Ni alloy optimized for additive manufacturing in industrial applications.
Aromas play a significant role in the quality and safety of food, beverages, and even manufactured products. The ability to detect and interpret these aromas accurately can enhance product safety and consumer satisfaction.