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Researcher
- Ali Passian
- Hsuan-Hao Lu
- Joseph Lukens
- Nicholas Peters
- Alex Plotkowski
- Amit Shyam
- Anees Alnajjar
- Joseph Chapman
- Lawrence {Larry} M Anovitz
- Muneer Alshowkan
- Peeyush Nandwana
- Srikanth Yoginath
- 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
- 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
- Andrew G Stack
- Beth L Armstrong
- Brandon Miller
- Brian Williams
- Claire Marvinney
- Craig A Bridges
- Debangshu Mukherjee
- Emilio Piesciorovsky
- Femi Omitaomu
- Gary Hahn
- Georgios Polyzos
- Gerry Knapp
- Haowen Xu
- Harper Jordan
- Jaswinder Sharma
- Joel Asiamah
- Joel Dawson
- Jong K Keum
- Josh Michener
- Jovid Rakhmonov
- Juliane Weber
- Liangyu Qian
- Mariam Kiran
- Md Inzamam Ul Haque
- Mina Yoon
- Nance Ericson
- Nancy Dudney
- Nicholas Richter
- Olga S Ovchinnikova
- Peng Yang
- Ramanan Sankaran
- Raymond Borges Hink
- Ryan Dehoff
- Sai Krishna Reddy Adapa
- Serena Chen
- Sheng Dai
- Sunyong Kwon
- Varisara Tansakul
- Vimal Ramanuj
- Vivek Sujan
- Wenjun Ge
- Ying Yang

An ultrabroadband, polarization-entangled photon source for C+L-band quantum networks, enabling adaptive, high-fidelity entanglement distribution.

A novel molecular sorbent system for low energy CO2 regeneration is developed by employing CO2-responsive molecules and salt in aqueous media where a precipitating CO2--salt fractal network is formed, resulting in solid-phase formation and sedimentation.

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

An efficient, eco-friendly metal extraction using ultrasonic leaching, ideal for lithium and magnesium recovery from minerals and waste.

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.