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Researcher
- Steve Bullock
- Corson Cramer
- Ali Passian
- Hsuan-Hao Lu
- Joseph Lukens
- Nicholas Peters
- Ahmed Hassen
- Alex Plotkowski
- Amit Shyam
- Anees Alnajjar
- Greg Larsen
- James Klett
- Joseph Chapman
- Muneer Alshowkan
- Nadim Hmeidat
- Peeyush Nandwana
- Srikanth Yoginath
- Trevor Aguirre
- Vlastimil Kunc
- Beth L Armstrong
- Blane Fillingim
- Brian Post
- Costas Tsouris
- Gs Jung
- Gyoung Gug Jang
- James A Haynes
- James J Nutaro
- Lauren Heinrich
- Nageswara Rao
- Pratishtha Shukla
- Radu Custelcean
- Sergiy Kalnaus
- Steven Guzorek
- Sudarsanam Babu
- Sudip Seal
- Sumit Bahl
- Thomas Feldhausen
- Yousub Lee
- Aaron Werth
- Adam Siekmann
- Alexander I Wiechert
- Alex Miloshevsky
- Alice Perrin
- Amy Moore
- Andres Marquez Rossy
- Brandon Miller
- Brian Williams
- Brittany Rodriguez
- Charlie Cook
- Christopher Hershey
- Christopher Ledford
- Claire Marvinney
- Craig A Bridges
- Craig Blue
- Dan Coughlin
- Daniel Rasmussen
- David J Mitchell
- David Nuttall
- Debangshu Mukherjee
- Dustin Gilmer
- Emilio Piesciorovsky
- Femi Omitaomu
- Gary Hahn
- Georgios Polyzos
- Gerry Knapp
- Haowen Xu
- Harper Jordan
- Jaswinder Sharma
- Joel Asiamah
- Joel Dawson
- John Lindahl
- Jong K Keum
- Jordan Wright
- Josh Michener
- Jovid Rakhmonov
- Liangyu Qian
- Mariam Kiran
- Md Inzamam Ul Haque
- Michael Kirka
- Mina Yoon
- Nance Ericson
- Nancy Dudney
- Nicholas Richter
- Olga S Ovchinnikova
- Ramanan Sankaran
- Raymond Borges Hink
- Ryan Dehoff
- Sana Elyas
- Serena Chen
- Sheng Dai
- Subhabrata Saha
- Sunyong Kwon
- Tomonori Saito
- Tony Beard
- Tyler Smith
- Varisara Tansakul
- Vimal Ramanuj
- Vipin Kumar
- Vivek Sujan
- Wenjun Ge
- Ying Yang

Technologies directed quantum spectroscopy and imaging with Raman and surface-enhanced Raman scattering are described.

Silicon nitride fiber is a critical material mainly used in the aerospace industry but has many applications. This fiber is prized for its properties, as it is transparent to electromagnetic radiation but allows signals to go through it.

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

A high-strength, heat-resistant Al-Ce-Ni alloy optimized for additive manufacturing in industrial applications.

The vast majority of energy conversion technologies and industrial processes depend on heat exchangers for transferring heat between fluids.