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Researcher
- Radu Custelcean
- Rama K Vasudevan
- Ryan Dehoff
- Costas Tsouris
- Sergei V Kalinin
- Yongtao Liu
- Gyoung Gug Jang
- Jeffrey Einkauf
- Kevin M Roccapriore
- Kyle Kelley
- Maxim A Ziatdinov
- Olga S Ovchinnikova
- Benjamin L Doughty
- Bruce Moyer
- Gs Jung
- Kashif Nawaz
- Michael Kirka
- Nikki Thiele
- Santa Jansone-Popova
- Stephen Jesse
- Vincent Paquit
- Adam Stevens
- Ahmed Hassen
- Alexander I Wiechert
- Alex Plotkowski
- Alice Perrin
- Amir K Ziabari
- Amit Shyam
- An-Ping Li
- Andres Marquez Rossy
- Andrew Lupini
- Anton Ievlev
- Arpan Biswas
- Blane Fillingim
- Bogdan Dryzhakov
- Brian Fricke
- Brian Post
- Christopher Ledford
- Christopher Rouleau
- Clay Leach
- David Nuttall
- Debangshu Mukherjee
- Gerd Duscher
- Hoyeon Jeon
- Huixin (anna) Jiang
- Ilia N Ivanov
- Ilja Popovs
- Ivan Vlassiouk
- James Haley
- Jamieson Brechtl
- Jayanthi Kumar
- Jennifer M Pyles
- Jewook Park
- Jong K Keum
- Kai Li
- Kyle Gluesenkamp
- Laetitia H Delmau
- Liam Collins
- Luke Sadergaski
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Md Faizul Islam
- Md Inzamam Ul Haque
- Mina Yoon
- Neus Domingo Marimon
- Nickolay Lavrik
- Ondrej Dyck
- Parans Paranthaman
- Patxi Fernandez-Zelaia
- Peeyush Nandwana
- Philip Bingham
- Rangasayee Kannan
- Roger G Miller
- Saban Hus
- Sai Mani Prudhvi Valleti
- Santanu Roy
- Sarah Graham
- Saurabh Prakash Pethe
- Singanallur Venkatakrishnan
- Steven Randolph
- Subhamay Pramanik
- Sudarsanam Babu
- Sumner Harris
- Utkarsh Pratiush
- Uvinduni Premadasa
- Vera Bocharova
- Vipin Kumar
- Vlastimil Kunc
- William Peter
- Xiaobing Liu
- Yan-Ru Lin
- Ying Yang
- Yingzhong Ma
- Yukinori Yamamoto
- Zhiming Gao

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

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.