Award Data

New pathogens, both naturally occurring and adversary-engineered, are increasingly likely to emerge and represent a significant and growing risk to global health and security. These new threats often have limited genetic similarity to prior known pathogens and cannot be identified through standard genetic tests. The application of machine learning algorithms to phenotypic tests to predict pathogen ...

The use of continuous glucose monitors can be an invaluable management tool for patients afflicted by glycemic variability due to critical illness or trauma. Maintaining stable glucose levels enhances health and lowers care costs, and individuals equipped with continuous glucose data have significantly improved outcomes. Profusa has developed highly miniaturized, injectable, tissue-like, glucose s ...

The US Navy, industry and the scientific community is using and developing a variety of AUVs, underwater sensors, and other systems that can be easily deployed and operated with minimal maintenance or recurring costs. A primary hindrance to the long-term implementation of these systems is the availability of in situ energy. The concepts presented herein focus on the harvesting of methane from seep ...

Autonomous underwater vehicles (AUVs) are critical to DoD undersea missions including the future capabilities for sea and sub-sea forces communication and connectivity. AUV mission lengths are currently limited to 24 hours due to the prohibitive battery storage and AUV energy demands. Makai Ocean Engineering, with the University of Hawaii’s Hawaii Natural Energy Institute (HNEI), proposes to dev ...

As unmanned aircraft systems (UAS) become more prevalent there is an increasing desire to automate UAS navigation and control. To enable future UASs to perform a wider variety of missions, the they must be able to complete autonomous relative navigation to accomplish missions. Current technologies rely heavily on GPS measurements, which are undesirable since GPS signals may be unavailable in many ...

In this program, Morton Photonics (MP) and its STTR partner Professor John Bowers and his research group at the University of California at Santa Barbara (UCSB) will develop two truly disruptive integrated laser devices: (1) A broadly tunable integrated laser with ultra-low linewidth, ultra-low relative intensity noise (RIN), and high output power; the Integrated Coherent Tunable Laser (ICTL), whi ...

Stottler Henke proposes PaCT, leveraging our related past work in computer vision and machine learning. Drawing from techniques used in ExPATSS, a Phase II SBIR effort slated for transition to the Naval fleet, PaCT will perform bacterial characterization using features derived from the phenotype of the bacteria. PaCT will predict bacterial characteristics such as pathogenicity, antibiotic resistan ...

This program will demonstrate how additive manufacturing technologies can be used with reactive and high energy materials to create rapid and flexible fabrication of payload and munitions. Our primary approach to this problem will be to use powder bed binder printing techniques to print reactive structures. The anticipated feedstock will consist of composite particles containing all reactant spe ...

For effective protection against EMP and HPM threats, it is important to understand the physics of the threats, and also to quantify the effects they have on electrical systems. EMP and HPM vulnerability testing requires delivery of high peak power and electric fields to distant targets. The most practical solution to simulate such environments is to develop a modular, optically-isolated MV-antenn ...

It has long been known that analog computers can be faster and more power efficient than digital processors by many orders of magnitude. Until the 1970s analog computers were the dominant controllers in most industrial and military applications. Even today digital processors are still slower and more power consumptive than analog, but offer much more flexibility (programmability) and precision. ...