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Researcher
- Mingyan Li
- Sam Hollifield
- Stephen M Killough
- Annetta Burger
- Brian Weber
- Bryan Maldonado Puente
- Carter Christopher
- Chance C Brown
- Corey Cooke
- Debraj De
- Diana E Hun
- Gautam Malviya Thakur
- Isaac Sikkema
- James Gaboardi
- Jason Jarnagin
- Jesse McGaha
- John Holliman II
- Joseph Olatt
- Kevin Spakes
- Kevin Sparks
- Kunal Mondal
- Lilian V Swann
- Liz McBride
- Luke Koch
- Mahim Mathur
- Mark Provo II
- Mary A Adkisson
- Nolan Hayes
- Oscar Martinez
- Peter Wang
- Philip Boudreaux
- Rob Root
- Ryan Kerekes
- Sally Ghanem
- Todd Thomas
- T Oesch
- Xiuling Nie

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.

Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.

The ever-changing cellular communication landscape makes it difficult to identify, map, and localize commercial and private cellular base stations (PCBS).

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).