Award Data

The preservation of experimental data gathered by the nuclear physics community is being compromised by the dramatic increase in the rate of data generation. Physicists need to be able to easily archive the data, along with its experimental context and their current analysis procedures, in order to prepare for future breakthroughs in analysis technology and/or potential changes of the group perfo ...

Wastewater from oil and gas production has high total dissolved solids (TDS) and organics and needs to be treated for safe disposal or reuse. Coal-fired power plant discharges and mining effluents share similar high TDS and organic contents. This project targets the development of an energy efficient, and robust supercritical desalination technology to treat hypersaline solutions, destroying organ ...

Face recognition performance using deep learning has seen dramatic improvements in recent years. This improvement has been fueled in part by the curation of large labeled training datasets with millions of images of hundreds of thousands of subjects.This results in effective generalization for matching over pose, illumination, expression and age variation, however these datasets have traditionally ...

Recognizing faces in low-light and nighttime conditions is a challenging problem due to the noisy and poor quality nature of the images.Thermal imaging is often used to obtain facial biometric in such conditions. Thermal face images, while having a strong signature at nighttime, are not typically maintained in biometric-enabled watch lists and so must be compared with visible-light face images to ...

This project will develop a flexible longitudinal electron optical system based on high-precision radio-frequency cavities for short and intense electron bunch compressions, both in the energy and time domains. The proposed system is designed to be insertable into an existing transmission electron microscope column to upgrade its temporal resolution. Active phase-space control enables broad ranges ...