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Researcher
- Rama K Vasudevan
- Ryan Dehoff
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Kyle Kelley
- Maxim A Ziatdinov
- Olga S Ovchinnikova
- Venugopal K Varma
- Kashif Nawaz
- Mahabir Bhandari
- Michael Kirka
- Stephen Jesse
- Vincent Paquit
- Ying Yang
- Adam Aaron
- Adam Stevens
- Ahmed Hassen
- Alex Plotkowski
- Alice Perrin
- Amir K Ziabari
- Amit Shyam
- An-Ping Li
- Andres Marquez Rossy
- Andrew Lupini
- Anton Ievlev
- Arpan Biswas
- Benjamin Lawrie
- Blane Fillingim
- Bogdan Dryzhakov
- Brian Fricke
- Brian Post
- Charles D Ottinger
- Chengyun Hua
- Christopher Ledford
- Christopher Rouleau
- Clay Leach
- Costas Tsouris
- David Nuttall
- Debangshu Mukherjee
- Gabor Halasz
- Gerd Duscher
- Govindarajan Muralidharan
- Gs Jung
- Gyoung Gug Jang
- Hoyeon Jeon
- Huixin (anna) Jiang
- Ilia N Ivanov
- Ivan Vlassiouk
- James Haley
- Jamieson Brechtl
- Jewook Park
- Jiaqiang Yan
- Jong K Keum
- Kai Li
- Kyle Gluesenkamp
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Md Inzamam Ul Haque
- Mina Yoon
- Neus Domingo Marimon
- Nickolay Lavrik
- Ondrej Dyck
- Patxi Fernandez-Zelaia
- Peeyush Nandwana
- Petro Maksymovych
- Philip Bingham
- Radu Custelcean
- Rangasayee Kannan
- Roger G Miller
- Rose Montgomery
- Saban Hus
- Sai Mani Prudhvi Valleti
- Sarah Graham
- Sergey Smolentsev
- Steven J Zinkle
- Steven Randolph
- Sudarsanam Babu
- Sumner Harris
- Thomas R Muth
- Utkarsh Pratiush
- Venkatakrishnan Singanallur Vaidyanathan
- Vipin Kumar
- Vlastimil Kunc
- William Peter
- Xiaobing Liu
- Yan-Ru Lin
- Yanli Wang
- Yukinori Yamamoto
- Yutai Kato
- Zhiming Gao

This technology combines 3D printing and compression molding to produce high-strength, low-porosity composite articles.

This invention presents technologies for characterizing physical properties of a sample's surface by combining image processing with machine learning techniques.

The interface gasket for building envelope is designed to enhance the installation of windows and other objects into building openings.

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.