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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 SBIR.gov 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. TeraNet – A Wideband Terahertz Communication Network

    SBC: INTELLIGENT AUTOMATION, INC.            Topic: AF19BT008

    Terahertz communication is anticipated to provide ultra-high capacity links up to 1Tbps. Thus, Terahertz communication is promising to support wide varieties of emerging high throughput and low latency applications, including military applications. However, the Terahertz channel suffers from severe path loss and is highly sensitive to obstacles. Hence, novel solutions should be designed to account ...

    STTR Phase I 2020 Department of DefenseAir Force
  2. Machine Learning based Domain Adaptation (MLB-DA) for Multiple Source Classification and Fusion

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: AF19CT002

    Generalizing models learned on one domain to novel domains has been a major obstacle in the quest for universe object recognition. The performance of the learned models degrades significantly when testing on novel domains due to the presence of domain shift. In this proposal, we aim to develop a deep learning-based multi-source self-correcting approach to fuse data with different modalities at the ...

    STTR Phase I 2020 Department of DefenseAir Force
  3. Domain Adaptation via Classifier Fusion

    SBC: Longshortway Inc.            Topic: AF19CT002

    LongShortWay Inc. and Boston university propose development of Domain Adaptation algorithms via Classifier Fusion

    STTR Phase I 2020 Department of DefenseAir Force
  4. Deep Transfer Learning Across Domains, Modalities and Classes

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: AF19CT004

    The capability of “transferring” learned classifiers from one domain, or set of targets, to classify different targets or the same targets but in different domains is of great interest to the United States Air Force. It is an enabling technology for the USAF to build Aided Target Recognition and other algorithms for environments and targets where the data or labeled data is scarce. In ...

    STTR Phase I 2020 Department of DefenseAir Force
  5. Dynamic Bias APD Receiver Array

    SBC: Alphacore, Inc.            Topic: AF19CT006

    Alphacore team will design, develop and demonstrate an innovative avalanche photodiode (APD) focal plane array (FPA) that employs dynamic biasing to increase low-noise gain and detectivity. Alphacore partners are internationally recognized experts - Prof. Joe Campbell (University of Virginia) and consultant Prof. Seth Bank (University of Austin at Texas) - known for pioneering contributions to hig ...

    STTR Phase I 2020 Department of DefenseAir Force
  6. 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
  7. Human Behavior Analytics Tool (HBAT)

    SBC: Intelligenesis, LLC            Topic: AF19CT007

    IntelliGenesis seeks to lower the incidence of military personnel and veteran suicide through innovative machine learning and data science approaches applied to military personnel data. Our developers, engineers, and analysts, in coordination with university subject matter experts, will collaborate to design and develop an analytic system capable of ingesting and normalizing personnel (non-medical ...

    STTR Phase I 2020 Department of DefenseAir Force
  8. SmartWavAudit: smart technologies for electrical waveform auditing

    SBC: INTELLIGENT AUTOMATION, INC.            Topic: AF19CT009

    Reliability of power generators, distribution systems and motors are essential in ensuring the efficient and reliable operation of industrial manufacturing systems. However, different types of machine health threats (fault or attack) may occur. There may be direct or inderict attacks and different types of short circuit faults for the electric devices such as single phase faults, phase to phase fa ...

    STTR Phase I 2020 Department of DefenseAir Force
  9. Automated Tourniquet

    SBC: OLGS, Inc.            Topic: AF19CT010

    OLGS is developing an automated tourniquet system. It is an intuitive device that works with the push of a button. The user only need to know 'high-and-tight' and push the button for the tourniquet to be effective. It contains a band with wires embedded that is tightened by a motor-driven spool. It also contains a micro-controller unit with integrated sensors to ensure limb occlusion pressure is a ...

    STTR Phase I 2020 Department of DefenseAir Force
  10. Rapid Wafering of Wide Bandgap Substrates

    SBC: OPTICOMP NETWORKS, INC.            Topic: AF19CT010

    OptiCOMP has a non-abrasive wafering technique that will reduce the cost of manufacturing wide bandgap semiconductor substrates, i.e. silicon carbide (SiC), gallium nitride (GaN), AlN and diamond by up to a factor of 2. These materials are very expensive and hard. A top of the line wafer can cost a few thousand dollars. Currently wafers are cut using wire saws. These are heavy and bulky machines t ...

    STTR Phase I 2020 Department of DefenseAir Force
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