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The Award database is continually updated throughout the year. As a result, data for FY21 is not expected to be complete until September, 2022.

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. Bounding generalization risk for Deep Neural Networks

    SBC: Euler Scientific            Topic: NGA20A001

    Deep Neural Networks have become ubiquitous in the modern analysis of voluminous datasets with geometric symmetries. In the field of Particle Physics, experiments such as DUNE require the detection of particle signatures interacting within the detector, with analyses of over a billion 3D event images per channel each year; with typical setups containing over 150,000 different channels.  In an ...

    STTR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  2. Spatio-Temporal Association and Curve Kernels (STACKNet) for Multi-Cue Data Association

    SBC: INTELLIGENT AUTOMATION, INC.            Topic: MDA19T001

    Air and missile threats can fly highly maneuvering, complex trajectories. This poses a challenge to tracking algorithms during data association because of confusing targets, proximal detections and fast motion. In the proposed effort we propose to develop deep learning based technologies for data association to improve the accuracy of data association. Deep learning has shown significant gains in ...

    STTR Phase I 2020 Department of DefenseMissile Defense Agency
  3. High Temperature Fracture Mechanics

    SBC: SYMPLECTIC ENGINEERING CORPORATION            Topic: MDA19T002

    The objective of this project is to develop a capability to model fracture of materials used in hypersonic vehicles that results from hypervelocity impact while exposed to extreme temperatures. Symplectic Engineering’s approach addresses this challenge at two levels. At the computational level, a Relaxed Extended Finite Element approach is pursued to represent (possibly intersecting) fractures l ...

    STTR Phase I 2020 Department of DefenseMissile Defense Agency
  4. High Temperature Fracture Mechanics

    SBC: Karagozian & Case, Inc.            Topic: MDA19T002

    This STTR research study aims to enhance and apply thermo-mechanically coupled computational models for high-temperature fracture. This topic is particularly challenging in that hypersonic flight in the atmosphere generates extreme conditions over a vehicle that can affect the strength and performance the vehicle materials, both in-flight conditions as well as for cases where the vehicle encounter ...

    STTR Phase I 2020 Department of DefenseMissile Defense Agency
  5. QUARTERMASTER: Query and User-based Abductive Reporting Tool Enabling Responsive Multimodal Analysis of Simulated Technological Enterprise Records

    SBC: Aptima, Inc.            Topic: MDA19T003

    At the Missile Defense Agency (MDA), the system-wide approach to test engineering generates massive amounts of multi-dimensional data, which analysts explore to evaluate Ballistic Missile Defense System (BMDS) configurations, engagement conditions, and target phenomena. Analyses are limited by time to construct each data query, technical knowledge, and size/complexity of the datasets and domain. T ...

    STTR Phase I 2020 Department of DefenseMissile Defense Agency
  6. Secure Environment for Cyber Resiliency Evaluation of Missile Defense Systems (SEC-MDS)

    SBC: Scalable Network Technologies, Inc.            Topic: MDA19T004

    Current methods of validating the cyber resiliency of missile defense systems require testing of actual systems, which removes them from operation and subjects them to potentially damaging effects. Cyber ranges can be used as an alternative, but they are limited in scale, costly, time-consuming to configure and have limited capability to model wireless tactical networks and their inherent vulnerab ...

    STTR Phase I 2020 Department of DefenseMissile Defense Agency
  7. Dynamic Emulated System In Loop

    SBC: Cardinal Engineering, LLC            Topic: MDA19T006

    State of the art power hardware-in-the-loop (PHIL) and controller hardware-in-the-loop (CHIL) methods and testbed are used to evaluate naval ship power architectures. An innovative approach is proposed to leverage these capabilities to generate an architecture and toolkit that provide near real-time digital emulated system-in-the-loop capabilities and code execution testing for missile defense sys ...

    STTR Phase I 2020 Department of DefenseMissile Defense Agency
  8. Inception: An Extendable Virtual Execution Framework to Support Dynamic Code Analysis of Embedded Systems

    SBC: INTELLIGENT AUTOMATION, INC.            Topic: MDA19T007

    In this proposed effort, we propose to develop an extendible virtual execution framework to support dynamic code analysis of embedded systems. The key innovation of this proposal includes developments of: (1) an extendible virtual processor module which can integrates heterogeneous Multiprocessor System on Chip (MPSOC) with different ISA (ARM, PowerPC, etc) and memory architecture; (2) an extendib ...

    STTR Phase I 2020 Department of DefenseMissile Defense Agency
  9. Monte Carlo Midcourse Interceptor Defense Agent-based Simulations (MCMIDAS)

    SBC: INTELLIGENT AUTOMATION, INC.            Topic: MDA19T008

    The Missile Defense Agency is constantly developing state-of-the-art anti-ballistic missile defense technologies and maintaining a constellation of defense platforms, known as Ballistic Missile Defense System (BMDS) to provide ultimate national security. BMDS consists of networked sensors for detection and tracking, interceptor missiles for destroying threats, and a Command Control Battle Manageme ...

    STTR Phase I 2020 Department of DefenseMissile Defense Agency
  10. High-Performance Monte Carlo Modeling System for Real-time Fire Control Schedulers

    SBC: OPTIMAL SYNTHESIS INC.            Topic: MDA19T009

    The proposed work will develop a massively parallelized architecture for Monte Carlo simulation of real-time fire control schedulers. The parallelized architecture will utilize the recent developments in multiprocessing/multithreading technology based on graphical processing units. The system will be designed to perform in real-time assuming non-collocated sensors observing the threats and then co ...

    STTR Phase I 2020 Department of DefenseMissile Defense Agency
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