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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.

  1. Conformal Aerodynamic Controls for Supermaneuverable High-Speed Vehicles

    SBC: ATA Engineering, Inc.            Topic: MDA18T002

    High G Aerodynamic Controls | Approved for Public Release 18-MDA-9707 (3 Jul 18)

    STTR Phase I 2019 Department of DefenseMissile Defense Agency
  2. Low Toxicity, Non-cryogenic Liquid Propellant Upper Stage Engine

    SBC: Science and Technology Applications, LLC            Topic: MDA18T005

    Our vision for the next generation missile and space propulsion engine is a flexible and non-toxic propulsion technology using HAN/kerosene, offering variable thrust with a high degree of mission tailoring. Additionally, high bulk density of HAN/kerosene bi-propellant improves stage mass fraction and delivers performance metrics that exceed current toxic storable propellants. We propose an innovat ...

    STTR Phase I 2019 Department of DefenseMissile Defense Agency
  3. Equester Green Propellant Turbopump

    SBC: Exquadrum, Inc.            Topic: MDA18T005

    During the proposed Phase 1 research and development effort, the project team will design an innovative turbopump system for a target vehicle upper stage using “Green" liquid propellants that meet Missile Defense Agency's requirements. The use of a turbopump will result in an upper stage that has a greater than 50% improvement in delta velocity in comparison to a previously designed, pressure fe ...

    STTR Phase I 2019 Department of DefenseMissile Defense Agency
  4. Uncertainty Reduction in High Speed Flight Vehicle Modeling

    SBC: M4 ENGINEERING, INC.            Topic: MDA18T006

    Uncertainty Reduction in High Speed Flight Vehicle Modeling | Approved for Public Release 18-MDA-9707 (3 Jul 18)

    STTR Phase I 2019 Department of DefenseMissile Defense Agency
  5. Marburg Virus Prophylactic Medical Countermeasure

    SBC: MAPP BIOPHARMACEUTICAL, INC.            Topic: CBD18A002

    There are currently no vaccines or therapeutics available for Marburg Virus Disease (MVD). Given the specter of weaponization and the terriblemorbidity and high mortality rate of MVD, this represents a critical threat to the operational readiness of the Warfighter. While traditionalvaccines have proven to be a huge contribution to public health, they do have some limitations especially in the cont ...

    STTR Phase I 2018 Department of DefenseOffice for Chemical and Biological Defense
  6. Marburg Virus Prophylactic Medical Countermeasure

    SBC: Flow Pharma, Inc.            Topic: CBD18A002

    Flow Pharma, Inc. is a biotechnology company in the San Francisco Bay Area developing fully synthetic cytotoxic T lymphocyte (CTL)stimulating peptide vaccines for Marburg virus. The FlowVax vaccine platform allows us to create dry powder formulations of biodegradablemicrospheres and TLR adjuvants incorporating class I and class II T cell epitopes. FlowVax vaccines can be designed for delivery by i ...

    STTR Phase I 2018 Department of DefenseOffice for Chemical and Biological Defense
  7. Algorithms for Look-down Infrared Target Exploitation

    SBC: Signature Research, Inc.            Topic: 1

    Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  8. Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: 1

    On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  9. Human Performance Optimization: Ketone Esters for Optimization of Operator Performance in Hypoxia

    SBC: HVMN Inc.            Topic: SOCOM17C001

    In the setting of altitude-induced hypoxia, operator cognitive capacity degrades and can compromise both individual and team performance. This degradation is linked to falling brain energy (ATP) levels and an increased reliance on anaerobic energy production from glucose. Ketone bodies are the evolutionary alternative substrate to glucose for brain metabolic requirements; previous studies have sho ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  10. Novel Structure-Preserving Algorithms for Accurate Rocket Trajectory Propagation

    SBC: OPTIMAL SYNTHESIS INC.            Topic: MDA17T002

    The Department of Defense uses large-scale high-resolution federated simulations to propagate rocket vehicle trajectories. Runge-Kutta methods have served as a de-facto standard while conducting such simulations. However, there are several challenges while using Runge-Kutta methods for this task. Firstly, there should be exact time-step matching between federates, otherwise the states have to be i ...

    STTR Phase I 2018 Department of DefenseMissile Defense Agency
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