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Researcher
- Ali Passian
- Stephen M Killough
- Alexander I Wiechert
- Benjamin Manard
- Bryan Maldonado Puente
- Charles F Weber
- Claire Marvinney
- Corey Cooke
- Costas Tsouris
- Diana E Hun
- Govindarajan Muralidharan
- Harper Jordan
- Isaac Sikkema
- Joanna Mcfarlane
- Joel Asiamah
- Joel Dawson
- Jonathan Willocks
- Joseph Olatt
- Kunal Mondal
- Mahim Mathur
- Matt Vick
- Mingyan Li
- Nance Ericson
- Nolan Hayes
- Oscar Martinez
- Peter Wang
- Philip Boudreaux
- Rose Montgomery
- Ryan Kerekes
- Sally Ghanem
- Sam Hollifield
- Srikanth Yoginath
- Thomas R Muth
- Vandana Rallabandi
- Varisara Tansakul
- Venugopal K Varma

High-gradient magnetic filtration (HGMF) is a non-destructive separation technique that captures magnetic constituents from a matrix containing other non-magnetic species. One characteristic that actinide metals share across much of the group is that they are magnetic.

This invention utilizes new techniques in machine learning to accelerate the training of ML-based communication receivers.

Real-time tracking and monitoring of radioactive/nuclear materials during transportation is a critical need to ensure safety and security. Current technologies rely on simple tagging, using sensors attached to transport containers, but they have limitations.

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

Current technology for heating, ventilation, and air conditioning (HVAC) and other uses such as vending machines rely on refrigerants that have high global warming potential (GWP).