Award Data

The Microbolometer based IRFPA’s are currently in production for defense and Security applications. The microbolometer performance is limited by the TCR and frequency of operation. The proposed Phase II SBIR will allow DARPA to explore the further enhancement in TCR by more than an order of magnitude and higher frequency of operation from current 100 Hz. These improvements will allow use of the ...

The Mobile Reconfigurable Acoustic Network (MoRAN) and associated Scalable Nested Network Optimization Methodology (SN2OM) will enable reliable underwater acoustic communications over a scalable ocean area with latencies on the order of minutes for critical communications messages. The JPAnalytics/BAE/ThayerMahan team combines state- of-the-art communications, environmental and acoustic modeling a ...

With the increasing complexity of the modern semiconductor supply chain and increasing prevalence of the fabless manufacturing model, the hardware security and design integrity of integrated circuits are threatened by untrusted components such as hardware Trojans. BlueRISC proposes an automated toolkit that utilizes existing Design-For-Testability (DFT) structures (e.g. scan-chains) to enable the ...

In Dense Urban Environments (DUEs), a new and evolving battlefield, the ability to detect and respond quickly to multiple threats in complex environments (e.g., snipers on rooftops or in windows) is critical and is extremely important to both civilian and military tactical needs. Response latency in the critical moments after the beginning of an attack can significantly increase casualties. SWIFT ...

Physical Sciences Inc. (PSI) proposes to develop advanced machine learning (ML) algorithms to perform detection, classification and identification of radioactive sources in near real time based on analysis of data generated by radiation sensors. The algorithms will be packaged as of an integrated Advanced Learning-Enabled Radioactive Threat Search (ALERTS) software suite compatible with new networ ...

Behavior change is a common objective across the Defense community. Recent studies suggest that neuroimaging can improve our ability to predict what messages are effective in changing behavior in individuals and at scale (Falk & Scholz, 2018). However, current neuroscience results have not established definitive causal relationships between specific types of messages and behavior change. In BB-PRI ...

As systems become more heterogeneous and distributed, determining optimal actions for each “teammate” within the system becomes increasingly complex. A particular difficulty in guiding the actions of these teammates is the fact that they are not guaranteed to follow suggestions provided by a supervisor, especially when those suggestions are inconsistent with the teammate’s tendencies, prefer ...

As systems become more heterogeneous and distributed, determining optimal actions for each “teammate” within the system becomes increasingly complex. A particular difficulty in guiding the actions of these teammates is the fact that they are not guaranteed to follow suggestions provided by a supervisor, especially when those suggestions are inconsistent with the teammate’s tendencies, prefer ...

Next generation EO/IR sensors are needed for a variety of Military Systems Applications. These include UV, Visible, NIR, SWIR, MWIR and LWIR bands. Magnolia as part of the proposed Phase II STTR Program plans to design, model and develop Strained Layer Superlattice (SLS) based detector array for next generation multicolor IR imaging applications. The key components of the Program will include eva ...

Uncertainty on the modern battlefield makes mission planning and decision making extremely complex for field commanders. Mission planners can be aided by initial and ongoing situation assessment, future state estimation, assessment of the current plan"s probability of success, what-if analysis, and suggestions for decisions. At present, few automated tools exist to provide mission planners with th ...