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Researcher
- Stephen M Killough
- Alexander I Wiechert
- Benjamin Manard
- Bryan Maldonado Puente
- Charles F Weber
- Corey Cooke
- Costas Tsouris
- Daniel Jacobson
- Diana E Hun
- Govindarajan Muralidharan
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- Joanna Mcfarlane
- Jonathan Willocks
- Joseph Olatt
- Kunal Mondal
- Mahim Mathur
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- Mingyan Li
- Nolan Hayes
- Oscar Martinez
- Peter Wang
- Philip Boudreaux
- Rose Montgomery
- Ryan Kerekes
- Sally Ghanem
- Sam Hollifield
- Thomas R Muth
- Vandana Rallabandi
- Venugopal K Varma

Mechanism-Based Biological Inference via Multiplex Networks, AI Agents and Cross-Species Translation
This invention provides a platform that uses AI agents and biological networks to uncover and interpret disease-relevant biological mechanisms.

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.

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).

Technologies for optimizing prefab retrofit panel installation using a real-time evaluator is described.

The need for accurate temperature measurement in critical environments such as nuclear reactors is paramount for safety and efficiency.