Award Data

In the field, warfighters are exposed to a complex set of stressors. Increasingly heavier combat loads, extreme environmental conditions, and improper nutrition are a few examples. Unfortunately, the effects on their physical and cognitive performance are not well understood, which can negatively affect the decision-making processes causing tactical errors leading to operational or strategic conse ...

We are proposing to design and fabricate an advanced monolithic 3D blade trap, which will be much more powerful and more stable than typical blade traps. Our design will incorporate features that will radically improve the trap operational capabilities over today’s standards. The trapping zone will be cut up into spatially distinctive sections, each of which will be optimized for performing a sp ...

Storagenergy Technologies Inc. proposes a novel methodology that allows for the 3D printing of different wholly thermally cured thermosets in a fast and precise fashion mask-image-projection-based -Stereolithography (MIP-SLA) additive manufacturing process. The proposed MIP-SLA based approach has several advantages over other technologies for additive manufacturing of thermoset polymers, including ...

COVID-19, a novel coronavirus disease, induces a hyperimmune response (cytokine storm) upon infection that often leads to hyperinflammation and immunosuppression. During the immunosuppression, the body is susceptible to other infections, which potentially increase mortality rates. The Center for Disease Control and Prevention reports that the military’s cumulative hospitalization rate (2%) is 50 ...

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 ...

The US Army aims to integrate multi-modal sensor data streams and advanced AI analytics at the tactical network edge in support of its vision for a future Internet of Battlefield Things. To maintain situational awareness within mission-acceptable levels despite dynamic conditions and infrastructure disruptions, we propose the ConnextEdge framework for resource-aware location-agnostic adaptive AI p ...

Intelesense Technologies (rebranding as IoT/AI), in partnership with Southwest Research Institute (SwRI), proposes to demonstrate an Edge Learning System Orchestration and Management system. The system is distributed and hierarchical adaptation and learning system design through emulations and simulation based on IoT/AI’s work in distributed intelligence “edge as a service” systems that aggr ...

Unprecedented growth in demand of wireless devices has caused overcrowding of the spectrum. Modern Software Defined Radios (SDRs) have to provide satisfactory services while transmitting/receiving in congested and contested environment. In order to do that, complex learning algorithms have to be paired with capable, flexible and wideband hardware.Space Micro and its partner research institution, t ...

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.

Robotic systems in general, and Unmanned Arial Vehicles (UAVs) in particular, pose a threat for both military and civilians when in the wrong hands. The triad of Kinetic, High-Power Microwave and Laser weapon systems currently used or considered for Counter-UAV (C-UAV) operation though effective in disrupting their performance, might be hazardous when used in a populated area. In this Phase I prog ...