Award Data

The goal of the proposed project is to create Kin-X, a novel software system to generate both rapid and deep intelligence from a wide variety of DNA types by inferring distant kinship relationships between individuals and reconstructing familial pedigrees. Kinship inference and pedigree reconstruction are both computationally intensive processes, and our proposed system is designed to achieve both ...

Welkin Sciences proposes investigating scintillation-hardening techniques applicable to DoD's strategic communication systems, focusing on hardening specific SATCOM links within the Ballistic Missile Defense System Communications Network that are of particular interest to DTRA and its customer, the Missile Defense Agency (MDA). These new scintillation-hardening techniques are based on computationa ...

The overall objective of the Phase II effort is to further investigate the generations of RF emissions from the detonation of high explosives and how those signatures maybe used to further understand the complex interactions within an event as well as the physics responsible for their generation. To accomplish this objective, IS4S will conduct an optimized series of experiments based on the lesson ...

The ongoing development of new, improved technology for both hardware and software leads to the almost constant upgrade of existing strategic sensor and communications systems and the development and deployment of new systems.  This work addresses warfighter concerns raised in the area of satellite communications and radar, where burst-produced ionospheric disturbances can cause scintillation of ...

Sonalysts will develop the Radiation Adaptive Monitoring System for Exposure Safety (RAMSES). RAMSES will be a simple application able to run on a variety of handheld devices with a data connection to a range of possible commercial radiation detectors. It will provide stay time and health hazard decision-making support for emergency responders exposed to unknown or varying radiation fields. RAMSES ...

By combining modern ML statistical processing frameworks and with scalable secure communications DCTER provides a foundation for heterogenous sensor reasoning while leveraging advances in edge AI. This open source-driven processing foundation and standards based communication enables DTRA to leverage the rapidly evolving commercial edge AI/ML advancements while avoiding vendor lock-in (i.e., consi ...

The vision of Internet of Battlefield Things (IoBT) is where humans, machines, sensors, and autonomous systems will coordinate to execute missions, and do so in dynamic and sometimes ad hoc swarm configurations.  However, realizing such a vision is challenged in contested, degraded, or otherwise compromised A2/AD communications environments- even more concerning is that communication challenges a ...

Missions of importance to the Defense Threat Reduction Agency (DTRA), particularly missions countering weapons of mass destruction (WMD), are difficult to conduct in subterranean environments. While there has been substantial work in using individual robots to remotely explore these environments, the difficulties presented in the subterranean realm provide an opportunity for multiple robots to coo ...

Global Optimization of Graph Learning Structures (GOGLS) is a platform- agnostic method of globally optimizing search graphs from individual autonomous agents using techniques derived from federated learning. The GOGLS mission and focus will be to provide a learning framework for robots to share search information and in essence, see through the eyes of their neighbors.  The GOGLS system relies o ...

Centeye, with subcontractor support from Airgility, proposes a Phase 1 effort to develop a marsupial system in which a sUAS "mother ship" carries up to five autonomous nano air vehicles (NAVs) to an area of interest to perform a remote chemical sampling mission in a GPS-denied environment. For Phase 1, multiple concepts for addressing navigation of NAVs between the mother ship and the chemical sam ...