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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.

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. Robotic Noninvasive Neck and Spinal Injury Assessment Device

    SBC: Hstar Technologies            Topic: A08T034

    We propose a robotic non-invasive 3D ultrasound injury assessment system that a) allows local autonomous neck/spine injury assessment using pattern recognition, b) provides capability of telepresence injury assessment operation, c) creates 3D ultrasound imaging and visualization, d) integrates the injury assessment system onto an Hstar combat casualty extraction robotic system called cRoNA (Combat ...

    STTR Phase I 2008 Department of DefenseArmy
  2. Telemedicine and Advanced Medical Technology- Medical/Surgical, Mission Support Modeling, and Simulation

    SBC: IMMERSION MEDICAL, INC.            Topic: N/A

    Immersion Medical and the Uniformed Services University of Health Science (USUHS), aims establish the feasibility of a medical training simulator for Central Venous Catheterization (CVC). The proposed project involves several technical advances. Tactilefeedback user interface hardware designs will be researched to serve as a realistic proxy for catheters and other devices used during CVC. This in ...

    STTR Phase I 2001 Department of DefenseArmy
  3. Development of On-Demand Non-Polar and Semi-Polar Bulk Gallium Nitride Materials for Next Generation Electronic and Optoelectronic Devices

    SBC: Inlustra Technologies LLC            Topic: A06T019

    Inlustra Technologies and the University of California, Santa Barbara propose to grow and characterize thick non-polar and semi-polar gallium nitride (GaN) wafers that will act as seeds for subsequent GaN boule growth. In this Phase I STTR effort, Inlustra will first develop non-polar and semi-polar GaN films with smooth surfaces and minimal wafer bowing and cracking. The growth conditions for e ...

    STTR Phase I 2006 Department of DefenseArmy
  4. THz and Sub-THz MEMS-Fabricated Klystron Amplifier

    SBC: INNOSYS, INC.            Topic: A09AT016

    InnoSys and Purdue University propose to research and develop robust designs for building, implementing and demonstrating a new class of terahertz (THz) vacuum electronic device (VED) power amplifiers and power sources at frequencies in the range of 0.3-3.0 THz (the so-called THz regime) employing advanced micro electro mechanical system (MEMS) technology and processes. There is significant inter ...

    STTR Phase I 2009 Department of DefenseArmy
  5. A Real-Time, Non-Invasive Monitoring System of Combat Casualties for Early Detection of Hemorrhagic Shock During Transport and Higher Echelon Medical

    SBC: Flashback Technologies Inc            Topic: A09AT027

    The proposed research has two aims: 1) to develop a real-time algorithm that uses non-invasive physiological signals to quickly and accurately detect severity of acute blood loss; and 2) to develop a complimentary algorithm that uses all or a subset of these signals (depending on their availability and situation specific appropriateness) to forewarn providers of an injured soldier’s predicted ri ...

    STTR Phase I 2009 Department of DefenseArmy
  6. N/A

    SBC: ICET, INC            Topic: N/A

    N/A

    STTR Phase I 2000 Department of DefenseArmy
  7. Using Evolving Curves to Track Dynamic Boundaries

    SBC: Intelligent Automation, Inc.            Topic: N/A

    The key innovation proposed in this STTR effort by Intelligent Automation, Inc. and Duke University is a hybrid level set based algorithm to achieve dynamic perimeter surveillance within a region by constructing an evolving function based on the perceiveddensity of a phenomenon. Drawing on state-of-the-art image processing methodologies, the hybrid solution offers the flexibilities of an Eulerian ...

    STTR Phase I 2003 Department of DefenseArmy
  8. Using Evolving Curves to Track Dynamic Boundaries

    SBC: Intelligent Automation, Inc.            Topic: N/A

    In the phase I effort, IAI successfully demonstrated the feasibility of co-operative swarm based approach to boundary tracking. This approach is relevant to applications such as tracking oil spills using a swarm of robots, tracking enemy troop movement using a swarm of UAV's (Future Combat System (FCS) type scenario), and tracking of static and moving mine fields . In Phase II, we continue our ef ...

    STTR Phase I 2004 Department of DefenseArmy
  9. Predictable, Scalable QoS Routing for Ad Hoc Wireless Networks based on Heavy-Tailed Statistics

    SBC: Intelligent Automation, Inc.            Topic: A05T016

    In this proposal, we identify QoS metrics based on our insights on heavy-tailed phenomena in ad hoc wireless networks, determine the potential performance impact of heavy-tailedness on ad hoc routing, define routing policies based on such insights and metrics, and propose a QoS Routing protocol (HAQR) that captures the heavy-tailed nature and provides quality of service for multi-hop wireless ad h ...

    STTR Phase I 2005 Department of DefenseArmy
  10. Analysis and Visualization of Large Complex Multi-Step Cyber Attack Graphs

    SBC: Intelligent Automation, Inc.            Topic: A06T018

    We propose a comprehensive and innovative approach for analysis and visualization of large, complex, multi-step cyber attack graphs. First, we select the radial space-filling hierarchy visualization module for large complex multi-step cyber attack graph due to its strengths in space efficiency and ease of interpretation. Once an attack is correlated, the attack notification service retrieves the ...

    STTR Phase I 2006 Department of DefenseArmy
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