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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY21 is not expected to be complete until September, 2022.

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. Efficient Burn-in Process for High Power QCL Lasers

    SBC: Raytum Photonics LLC            Topic: N20BT029

    Raytum Photonics teams with the Center for Advanced Life Cycle Engineering (CALCE) of University of Maryland in order to come up with an efficient burn-in process to effectively screen out infant mortality and accurately predict life time for QCL lasers in shortest possible time.   The proposed burn-in process is based on an accelerated degradation model which speeds up the burn-in process by el ...

    STTR Phase I 2021 Department of DefenseNavy
  2. Lightweight-Low Cost Hyperspectral Sensor Integration to Support Urban Air Mobility Operations

    SBC: Spectrabotics, LLC            Topic: AFX20DTCSO1

    Hyperspectral Imaging (HSI) technologies provide the most accurate imaging method for detecting and classifying remotely-sensed Hazardous Materials (HAZMAT).   Electric Vertical Takeoff and Landing/Urban Air Mobility (eVTOL/UAM) platforms provide the most cost-effective, rapid response, and easy to use data collection platform to support Humanitarian Assistance and Disaster Response (HADR) scena ...

    STTR Phase I 2021 Department of DefenseAir Force
  3. OXYGEN: Orb-to-Orb (O2) Air Domain Awareness

    SBC: Unmanned Experts Inc.            Topic: AFX20DTCSO1

    Advanced Air Mobility, Unmanned Traffic Management and Swarm operations all have large numbers of semi-autonomous aircraft operating in close proximity and within confined airspace. Each aircraft, or orb, needs to coordinate with its neighbors for safety,

    STTR Phase I 2021 Department of DefenseAir Force
  4. Universal Navigation Solution Manager


    Planck Aero and UC San Diego will collaborate to adapt and modify technology to address defense needs by providing an innovative, modular aerial navigation system that is capable of identifying and monitoring the accuracy, availability, and integrity of sensor sources, and ingesting all data into algorithms capable of providing a precision navigation solution for the duration of a mission withou ...

    STTR Phase I 2021 Department of DefenseAir Force
  5. Novel Honeycomb Hollow Carbon Fiber Composite

    SBC: Technology Holding, LLC            Topic: AFX20DTCSO1

    The current commercial polyacrylonitrile (PAN) based carbon fibers such as IM7 and T300 are limited in modulus at 155 and 130 N/tex respectively. In addition, these fibers are high density (1.75 – 1.93 g/cc) and are known to exhibit buckling behavior under compression stress. If these shortcomings are overcome, a number of new applications within DOD as well as civilian markets can be enabled.  ...

    STTR Phase I 2021 Department of DefenseAir Force
  6. Development of an Autonomous Recovery Function for eVTOL Aircraft Using an Adaptive / ML Controller

    SBC: JUMP AERO INC            Topic: AFX20DTCSO1

    Jump Aero has partnered with Caltech’s Center for Autonomous Systems and Technologies (CAST) to move adaptive control and machine learning autonomy algorithms from the lab to the real world.  We will accomplish this transition through an incremental crawl-walk-run process where the first crawl step involves a combination of certifiable hardware and a software architecture that is based on Run T ...

    STTR Phase I 2021 Department of DefenseAir Force
  7. TEACHR: Technical Explanation of Algorithmic Choice Hierarchy and Reasoning

    SBC: Colvin Run Networks, Inc.            Topic: AFX20DTCSO1

    Today, predictive analytics solutions provide workflow automation and data connectivity to enable maintenance recommendations. There is a USAF-identified defense need for explainability of the resultant recommendations for decision support, enabling human users to understand, appropriately trust, and effectively manage the emerging generation of machine learning outputs. Questions to explain predi ...

    STTR Phase I 2021 Department of DefenseAir Force
  8. Multiple Hypothesis Tracking of Cyberthreats

    SBC: GCAS, Inc.            Topic: AFX20DTCSO1

    This Proposal addresses the tracking and forecasting a cyberthreat’s future maneuvers in compromised network. Our approach is as follows: Movement in the Network observed by Intrusion Detection System (IDS) Sensor Data = Discrete States (e.g., IP or Port Addressed per IDMEF alert format) Forecast Threat Track Vector using Multiple Hypothesis Method (MHM) Use Probabilistic Relational Model (PRM) ...

    STTR Phase I 2021 Department of DefenseAir Force
  9. Development of eVTOL Aeroacoustics Software based on Vorcat CFD

    SBC: VORCAT, INC.            Topic: AFX20DTCSO1

    Interest in abating noise pollution from future eVTOL vehicles utilized in urban environments is a major motivating factor for this proposed study.  Past strategies for predicting noise about aircraft and rotorcraft tended to be highly empirical leading to limited generalization and accuracy. On the other hand, modern acoustics methodologies can be employed as an effective and comprehensive means ...

    STTR Phase I 2021 Department of DefenseAir Force
  10. Electric Vertical Takeoff and Landing Flying Vehicle for One Passenger with 25-mile Range

    SBC: Coolbuck, Inc            Topic: AFX20DTCSO1

    All-electric flying vehicle with vertical takeoff and landing capability, carrying 1-2 passengers or 300lb cargo and flying for more than 25 miles on one charge.

    STTR Phase I 2021 Department of DefenseAir Force
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