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Researcher
- Alexander I Wiechert
- Costas Tsouris
- Stephen M Killough
- Alexander Enders
- Benjamin Manard
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- Charles F Weber
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- Corey Cooke
- Debangshu Mukherjee
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- Govindarajan Muralidharan
- Gs Jung
- Gyoung Gug Jang
- Isaac Sikkema
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- Junghyun Bae
- Kunal Mondal
- Mahim Mathur
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- Md Inzamam Ul Haque
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- Nolan Hayes
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- Philip Boudreaux
- Radu Custelcean
- Rose Montgomery
- Ryan Kerekes
- Sally Ghanem
- Sam Hollifield
- Thomas R Muth
- Vandana Rallabandi
- Venugopal K Varma

How fast is a vehicle traveling? For different reasons, this basic question is of interest to other motorists, insurance companies, law enforcement, traffic planners, and security personnel. Solutions to this measurement problem suffer from a number of constraints.

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.

The lattice collimator places a grid of shielding material in front of a radiation detector to reduce the effect of background from surrounding materials and to enhance the RPM sensitivity to point sources rather than distributed sources that are commonly associated with Natur

Among the methods for point source carbon capture, the absorption of CO2 using aqueous amines (namely MEA) from the post-combustion gas stream is currently considered the most promising.

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.

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