You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

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. Fielded Agent-based Geo-Analysis Network (FAGAN)

    SBC: 21ST CENTURY SYSTEMS, INC.            Topic: A04T001

    Traditional military command & control (C2) usually evokes images of operators in command posts centers. But what about the mounted or dismounted soldier trying to get from A to B without getting blown up? It's C2 as well, just a different scale. The digital battlefield provides an explosion of information to gain a tactical advantage over the adversary but it's challenging. That challenge is ...

    STTR Phase I 2004 Department of DefenseArmy
  8. Advanced Computational Algorithms for Simulating Weapon-Target Interaction

    SBC: ACTA, LLC            Topic: N/A

    This STTR project will develop and validate a robust, scalable computational capability for the simulation of weapon-target interactions of interest to the Army. The proposed algorithm is based on the FLIP (Fluid Implicit Particle) - MPM (Material Point Method) - MFM (Multiphase Flow Method) approach and CartaBlanca nonlinear solver environment developed at Los Alamos National Laboratory. CartaB ...

    STTR Phase I 2004 Department of DefenseArmy
  9. Automated Behavioral Health Triage

    SBC: Activity Research Services            Topic: A04T025

    The overall objective of this project is to develop an automatic adaptive testing system that rapidly identifies specific cognitive deficits to aid in medical and operational decision making. This system will greatly increase the usability of test systems developed under Army sponsorship during the last 20 years, resulting in a product with broad application in both military and civilian environm ...

    STTR Phase I 2004 Department of DefenseArmy
  10. Nanoscale Chemical Analysis using Laser-Induced Breakdown Spectroscopy (nano-LIBS)

    SBC: Applied Spectra, Inc.            Topic: A04T011

    As nanotechnology fabrication develops internationally, the availability of tools for ensuring that materials and systems abide by their chemical design characteristics becomes essential. In order for nanotechnology to mature, diagnostic instruments must be developed to detect and analyze physical and chemical properties with spatial resolution much less than the dimensions of the nanostructures ( ...

    STTR Phase I 2004 Department of DefenseArmy
US Flag An Official Website of the United States Government