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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. Provably Unclonable Functions on Re-configurable Devices

    SBC: Potomac Research LLC            Topic: A18BT001

    Physically UnclonableFunctions (PUFs) have been proposed as central building blocks in cryptographic protocols and security architectures. PUFs are physical devices that exhibit a challenge/responsebehavior: when presented with a challenge, the device produces a response that is a random function of both the challenge and the physical properties of the device.In contrast to most digital designs, i ...

    STTR Phase I 2018 Department of DefenseArmy
  2. 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
  3. 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
  4. 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
  5. 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
  6. Virus-Like Particle Based pan-Marburgvirus Vaccine

    SBC: Luna Innovations Incorporated            Topic: CBD18A002

    Marburg virus (MARV) is a filamentous enveloped non-segmented negative sense RNA virus. This viruse is considered to be extremelydangerous with case fatality rates as high as 88-90%. Extensive efforts have gone towards effective vaccines for MARV prevention, however,none have been successfully established as licensed vaccines. Glycoprotein (GP) is the only surface protein of MARV. There are substa ...

    STTR Phase I 2018 Department of DefenseOffice for Chemical and Biological Defense
  7. UV Enhanced Electrostatic Discharge (UVEED)

    SBC: SCIENTIFIC APPLICATIONS & RESEARCH ASSOCIATES            Topic: A11aT025

    Biological weapon attacks are a continuing threat to the US military and homeland security. Current fluorescent detection technology has poor performance against spore based bioweapons threats. PCR, immunoassay, and lab-on-a-chip detection technologies are accurate, but are slow and require a constant stream of expensive reagents.

    STTR Phase I 2012 Department of DefenseArmy
  8. Integrated Electrophoretic Capillary Nanofluidic Biochip for Separation of Long DNA Molecules

    SBC: REDONDO OPTICS            Topic: A11aT027

    Redondo Optics Inc. (ROI), in collaboration with Center for High Technology Materials at the University of New Mexico proposes to design, produce, extensively test, and demonstrate the performance of a next generation integrated electrophoretic capillary

    STTR Phase I 2012 Department of DefenseArmy
  9. Formalism for Millimeter-wave Modeling of RADAR Cross Sections

    SBC: EMAG TECHNOLOGIES, INC.            Topic: A12aT002

    In this STTR project, we propose a novel computational technology for analyzing millimeter and submillimeter wave scattering from complex and electromagnetically extended objects and environments. The crux of our formalism lies in a technique for rapidly calculating and coherently adding fields produced by different scatterer constituents, ranging from conducting flat and rough surfaces to penetra ...

    STTR Phase I 2012 Department of DefenseArmy
  10. Mesh Generation and Control for Moving Boundary Problems

    SBC: Hypercomp, Inc.            Topic: A12aT012

    In this proposal, a team comprising of HyPerComp Inc. and NASA-JPL aims to develop modular parallel adaptive meshing capability for problems involving implicitly captured interfaces such as free surface capture using the level set method. In specific, these models will be demonstrated along with the appropriate software interfaces for the US Army PROTEUS toolkit. The foundation for this developmen ...

    STTR Phase I 2012 Department of DefenseArmy
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