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Researcher
- Stephen M Killough
- Annetta Burger
- Bryan Maldonado Puente
- Carter Christopher
- Chance C Brown
- Corey Cooke
- Debangshu Mukherjee
- Debraj De
- Diana E Hun
- Gautam Malviya Thakur
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- Jesse McGaha
- Josh Michener
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- Kevin Sparks
- Liangyu Qian
- Lilian V Swann
- Liz McBride
- Mark Provo II
- Md Inzamam Ul Haque
- Nolan Hayes
- Olga S Ovchinnikova
- Peter Wang
- Philip Boudreaux
- Rob Root
- Ryan Kerekes
- Sally Ghanem
- Sam Hollifield
- Serena Chen
- Todd Thomas
- Xiuling Nie

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

We tested 48 diverse homologs of SfaB and identified several enzyme variants that were more active than SfaB at synthesizing the nylon-6,6 monomer.

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.

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.