Award Data

We propose to develop a theoretical understanding of the relationship between intrinsic geometric structure in both training and latent data and characteristics of functions learned from that data for deep neural network (DNN) architectures. Along the way we propose to also understand the structure of the neural networks that are best trained on a given data set. Both of these theories will lead t ...

Deep Neural Networks have become ubiquitous in the modern analysis of voluminous datasets with geometric symmetries. In the field of Particle Physics, experiments such as DUNE require the detection of particle signatures interacting within the detector, with analyses of over a billion 3D event images per channel each year; with typical setups containing over 150,000 different channels.  In an ...

A nondestructive test system is under development for thorough, rapid and economical evaluation of the structure and properties of polymer-inorganic interfaces during curing and in service. The system is capable of in-situ, real-time and spatially resolved monitoring of the molecular structure and properties. It employs (single-sided) NMR relaxometry principles to detect and quantify defects and d ...

Vadum proposes to mature its Vibration-Enhanced Underground Sensing (VENUS) technology into a reliable, shallow-buried low-metal-content landmine discrimination and classification solution with minimal False Alarm Rate (FAR).  VENUS exploits a novel vibration phenomenology to provide unique discriminatory information and estimated classification of the buried target that enhances and complements ...

There are currently no vaccines or therapeutics available for Marburg Virus Disease (MVD). Given the specter of weaponization and the terrible morbidity and high mortality rate of MVD, this represents a critical threat to the operational readiness of the Warfighter. While traditional vaccines have contributed greatly to public health, they have some limitations especially in the context of operati ...

The multidisciplinary area of GEOINT is changing and becoming more complex. A major driver of innovation in GEOINT collection and processing is artificial intelligence (AI). AI is being leveraged to help accomplish spatial analysis, change detection, and image or video triage tasks where filtering objects of interest from large volumes of data is critical. NGA is confronting the changing GEOINT l ...

Through this STTR contract, we propose to evaluate the efficacy of our vaccine, FlowVax Marburg, in nonhuman primates (NHPs). This will be achieved through four Tasks. In Task 1, we will manufacture the vaccine in a quantity sufficient for the animal studies. In Task 2, we will perform MHC genotyping on a representative population of NHPs and, based on results, select a set of MHC-matched NHPs for ...

Vadum and North Carolina State University will develop Radio Disruption of Electronic Systems (RADES) to deliver standoff denial of swarming adversary unmanned aircraft systems (UAS). Novel RADES waveforms bypass common jamming mitigation techniques by exploiting a widened attack surface of fundamental electronic hardware vulnerabilities in UAS. Integrated with a software-defined radio (SDR) on a ...

This project aims to reduce the size and cost of current AEHF front-end by the integration of a compact beam-steering antenna array. The integration consists of novel antenna design, novel steering technique, and a scalable capable architecture.

Traditional spherical optics implemented on a common optical axis are the foundation of today’s fielded gunsights for small arms fire control. SA Photonics has helped pioneer the application of precision injection molded freeform optical surfaces in head/helmet mounted display (HMD) systems for augmented reality (AR), virtual reality (VR) and low light level sensor applications. SA Photonics tea ...