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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

Download all award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

  1. Bayesian-Based Probabilistic Limit Cycle Oscillation Prediction of Aircraft with Stores

    SBC: Zona Technology, Inc            Topic: AF18BT008

    The overall technical objective of the Phase II effort is to extend the Phase I developments and achieve a fully predictive Bayesian-based, data driven, probabilistic prediction tool of the F-16 limit cycle oscillation (LCO). This tool will rely on the available flight test data on some configurations to predict the LCO amplitude on different configurations within an uncertainty band that account ...

    STTR Phase II 2020 Department of DefenseAir Force
  2. Space-Based Computational Imaging System

    SBC: Alphacore, Inc.            Topic: AF19AT015

    New advances in onboard processing hardware, coupled with novel image sensor and camera design, have enabled the Air Force to consider the revolutionary benefits of computational imaging systems for space. Of particular interest to the Air Force are computational imaging systems that combine both optical and computational elements in ways that have the potential to outperform traditional (all-op ...

    STTR Phase II 2020 Department of DefenseAir Force
  3. High Assurance Information Segregation Solution (HAISS) for Real-Time Embedded Systems


    Majority of mission critical systems store and transport heterogeneous information with multiple level of security , which requires assured information segregation. The proposed technology is a software solution to provide highly assured data and process separation and isolation.

    STTR Phase II 2020 Department of DefenseAir Force
  4. SLACA: Self-Learned Agents for Collective Aerial Video Analysis

    SBC: INTELLIGENT AUTOMATION, INC.            Topic: AF18BT002

    Intelligent Automation, Inc. teams with University of Maryland, College Park to develop SLACA, a self-learned agent system for collective human activities and events in aerial videos. Aerial video analytics often faces challenges such as low resolution, shadows, varied spatio-temporal dynamics, etc. The traditional methods depending on the object detection and tracking often fail due to these chal ...

    STTR Phase II 2020 Department of DefenseAir Force
  5. Signature Reduction using Metasurfaces on group 1 UAV platforms

    SBC: NOTCH, INC.            Topic: AF20ATCSO1

    Enemies use radar system to identify and target Unmanned Aerial Vehicles (UAVs). To prevent detection, the UAV should be able to reduce its RF signature by reducing its Radar Cross Section (RCS). In addition, it is essential for the "blue force" UAV to be able to use its RF systems (radar/comms) while not being detected. Traditional Radar Absorbing Materials (RAM) are used to absorb radar's Electr ...

    STTR Phase II 2020 Department of DefenseAir Force
  6. RETAIN: Resilient and Self-Healing Protocol Stack for Directional Tactical Mesh Networks


     Resilient and self-healing airborne networking provides the essential communication platform for effective information exchange among warfighters to successfully collaborate and execute missions. Moreover, communication over THz band is promising to support high data rate for airborne military applications such as 3D image scanning, augmented reality, and virtual reality. However, airborne commu ...

    STTR Phase II 2020 Department of DefenseAir Force
  7. Reliable Tactical Silent Power Generator for Austere Environments

    SBC: Mesodyne Inc.            Topic: AF20ATCSO1

    Mesodyne’s Light-Cell technology was developed at MIT and is being commercialized for the small UAV market. In this effort, the UAV generator is being adapted to meet the needs of dismounted warfighters. Mesodyne’s patented Light-Cell generator converts fuel into electricity via light. Specifically, a microcombustor heats a nanophotonic material to incandescence. The nanophotonic material, whi ...

    STTR Phase II 2020 Department of DefenseAir Force
  8. Microwave Sensor System for Nondestructive Characterization of Multi-Layered Non-Conductive Composites and Coatings

    SBC: X-Wave Innovations, Inc.            Topic: AF20ATCSO1

    Open-ended waveguide probes have been developed and successfully tested for nondestructive characterization of multi-layered non-conductive composite structures as well as coatings on conductive substrates. These probes have been used to inspect radomes, fiberglass composites, coating thickness, corrosion under paint and composites, specialty coatings such as radar absorbing materials and resistiv ...

    STTR Phase II 2020 Department of DefenseAir Force
  9. X-ray Cinematography for Explosive Events


    Diversified Technologies, Inc. (DTI) proposes to develop an affordable scalable, single anode, multiple pulse flash X-ray source that can be used to make high resolution X-ray movies of explosive and high-speed tests. The new source eliminates parallax, creates images of closely-timed x-ray pulses, and capitalizes on recent advances in very high speed cameras to provide many frames of high resolut ...

    STTR Phase II 2020 Department of DefenseAir Force
  10. PARSERS: Privacy-preserving Analytics for Recognizing the Signs of an Elevated Risk for Suicide

    SBC: Aptima, Inc.            Topic: AF19CT007

    Risk of suicide continues to threaten both individual wellness and overall Air Force personnel readiness. The active-duty suicide rate increased 13% in 2018, while the suicide rate for veterans was 31 per 100,000 – 1.5 times greater than among nonveteran groups. Predictive analytics approaches using sensitive Electronic Health Records (EHRs) or social media data have shown promising accurac ...

    STTR Phase I 2020 Department of DefenseAir Force
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