Award Data

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 ...

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 ...

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 ...

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 ...

Oceanit proposes to first is to use radiative transfer techniques pioneered for astrophysics, instead of Monte Carlo simulation. In particular, we used a variant of the Bohm-Vitense method, which expresses the solution as a weighted sum of basis functions, allowing us to convert the radiative transfer equation into a set of linear equations that we can solve with standard linear algebra methods. S ...

Human analysts are presented with ever-increasing amounts of data to process, taxing the limitations of human cognitive capacity. This cognitive overloading leads to increased likelihood of errors and accidents, with costly consequences in mission critical operations. Consequently, there is a rising demand for more efficient processing of increasingly large amounts of intelligence. Transcranial di ...

One important challenge for the reliable prediction of liquid fuel effects on the combustion in aviation combustors and augmentors is the accurate modeling of underlying physical processes, involving the evaporation of fuels, preferential vaporization, scalar mixing and ignition. LES methodologies are required to accurately capture these transient and inherently unsteady combustion processes. In t ...

The Navy needs cognitive control capabilities that enable an autonomous robotic team comprised of a ground control station node and a team of UAS platforms to operate independently (or with minimal human oversight) while carrying out complex missions. A cognitive control capability needs to be developed that concurrently optimizes the balance of mission risk / performance with respect to the Navyâ ...

Within this STTR program, Carbonics will partner with USC to commercialize CNTFET based transistor technology that is compatible with wafer-scale monolithic integration process flows whilst offering exceptional performance at mm-Wave frequencies that can outperform incumbent semiconductor high frequency technologies (GaAs, SiGe, RF-CMOS).

In this project, we propose to develop a high-performance carbon nanotube (CNT) based millimeter-wave transistor technology and demonstrate monolithic millimeter-wave integrated circuits (MMICs) based on this technology with improved power efficiency, linearity, noise and dynamic range performance over existing GaAs, SiGe and RF-CMOS technologies. The goal of this topic is to leverage Professor St ...