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Researcher
- Andrzej Nycz
- Kuntal De
- Stephen M Killough
- Udaya C Kalluri
- Xiaohan Yang
- Alex Walters
- Biruk A Feyissa
- Brian Sanders
- Bryan Maldonado Puente
- Chris Masuo
- Clay Leach
- Corey Cooke
- Debjani Pal
- Diana E Hun
- Gerald Tuskan
- Ilenne Del Valle Kessra
- Jerry Parks
- Nolan Hayes
- Paul Abraham
- Peter Wang
- Philip Boudreaux
- Ryan Kerekes
- Sally Ghanem
- Vilmos Kertesz
- Vincent Paquit
- Yang Liu

We present the design, assembly and demonstration of functionality for a new custom integrated robotics-based automated soil sampling technology as part of a larger vision for future edge computing- and AI- enabled bioenergy field monitoring and management technologies called

Detection of gene expression in plants is critical for understanding the molecular basis of plant physiology and plant responses to drought, stress, climate change, microbes, insects and other factors.

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

Direct-acting antivirals are needed to combat coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2).

Due to a genes unique nucleotide sequences acquired through horizontal gene transfer, the gene has a transcriptional repressor activity and innate enzymatic role.

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.

There is a critical need for new antiviral drugs for treating infections of severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2).

The invention provides on-line analysis of droplets for mass spectrometry.