Award Data

The variety, volume and velocity of data available from the internet, sensors and other sources has grown dramatically providing the opportunity to gain novel insights in many fields.  In order to derive actionable insights from these data sources many challenges must be overcome including the need to summarize or distill large amounts of data that preserve salient features/relationships and meth ...

Predicting the emission signature and radar cross-section of rocket exhaust plumes is of vital interest to the Missile Defense Agency and U.S. Army to protect the U.S. homeland and our forces abroad.  The current STTR Phase II project has shown that a single-conditioned Premixed Conditional Moment Closure (PCMC) can employ detailed chemical kinetic mechanisms while efficiently modeling combustion ...

Department of Defense (DoD) operations critically rely upon efficient, robust, resilient and secure wireless network communications. Recently, machine learning (ML) has emerged as a key technology to support wireless communications systems in their adaptation to spectrum dynamics including novel adversarial threats. While ML is getting traction in wireless security applications such as detecting c ...

Solid oxide fuel cells have long suffered from degradation due to impurities in the fuel and complexities associated with dissimilar materials and high operating temperatures. This degradation lowers the usable cell power output and requires ancillary equipment for fuel sulfur removal and reformation. A unique microstructure for a tubular anode-supported SOFC is being developed using a novel freez ...

5G technology is targeting very high throughput, low power, and low latency, which will benefit not only commercial but also tactical communication systems. Operating in millimeter wave (mmWave) bands provides high bandwidths to meet the ever-growing throughput demands in shared spectrum environments. However, 5G waveform, as it is, does not satisfy Army’s requirements on jamming resistance, low ...

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 ...