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Researcher
- Adam M Guss
- Rama K Vasudevan
- Ryan Dehoff
- Josh Michener
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Kyle Kelley
- Liangyu Qian
- Maxim A Ziatdinov
- Olga S Ovchinnikova
- Vincent Paquit
- Andrzej Nycz
- Austin L Carroll
- Clay Leach
- Isaiah Dishner
- Jeff Foster
- John F Cahill
- Kashif Nawaz
- Kuntal De
- Michael Kirka
- Serena Chen
- Stephen Jesse
- Udaya C Kalluri
- Xiaohan Yang
- Adam Stevens
- Ahmed Hassen
- Alex Plotkowski
- Alex Walters
- Alice Perrin
- Amir K Ziabari
- Amit Shyam
- An-Ping Li
- Andres Marquez Rossy
- Andrew Lupini
- Anton Ievlev
- Arpan Biswas
- Benjamin Lawrie
- Biruk A Feyissa
- Blane Fillingim
- Bogdan Dryzhakov
- Brian Fricke
- Brian Post
- Carrie Eckert
- Chengyun Hua
- Chris Masuo
- Christopher Ledford
- Christopher Rouleau
- Costas Tsouris
- David Nuttall
- Debangshu Mukherjee
- Debjani Pal
- Gabor Halasz
- Gerald Tuskan
- Gerd Duscher
- Gs Jung
- Gyoung Gug Jang
- Hoyeon Jeon
- Huixin (anna) Jiang
- Ilenne Del Valle Kessra
- Ilia N Ivanov
- Ivan Vlassiouk
- James Haley
- Jamieson Brechtl
- Jay D Huenemann
- Jewook Park
- Jiaqiang Yan
- Joanna Tannous
- Jong K Keum
- Kai Li
- Kyle Davis
- 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
- Paul Abraham
- Peeyush Nandwana
- Petro Maksymovych
- Philip Bingham
- Radu Custelcean
- Rangasayee Kannan
- Roger G Miller
- Saban Hus
- Sai Mani Prudhvi Valleti
- Sarah Graham
- Steven Randolph
- Sudarsanam Babu
- Sumner Harris
- Utkarsh Pratiush
- Venkatakrishnan Singanallur Vaidyanathan
- Vilmos Kertesz
- Vipin Kumar
- Vlastimil Kunc
- William Alexander
- William Peter
- Xiaobing Liu
- Yan-Ru Lin
- Yang Liu
- Ying Yang
- Yukinori Yamamoto
- Zhiming Gao

In scientific research and industrial applications, selecting the most accurate model to describe a relationship between input parameters and target characteristics of experiments is crucial.

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.

Genetic modification of microbes that are thermophiles—ones that grow at elevated temperatures—is extremely challenging. Tools developed for E. coli, a typical host for protein production, typically do not function at elevated temperatures.

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

The invention provides a gene and methods for maintaining meiotic chromosomal architecture

An innovative system for automating the surveillance and manipulation of plant tissues using advanced machine vision and robotic tools.

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.