Award Data

The project team will develop the EdMod platform for special education practitioners to enter and track information specific to IEPs, such as diagnosis classification, goals, and data collection of those goals. The platform will then generate research-based strategies for teachers to support students with or at risk for disabilities during classroom instruction or in testing. The platform will pre ...

In this project, the team will develop a performance-based lab for the high school level. The Inq-ITS Performance Based Labs for High School Physics and Physical Science will integrate "using mathematics" practices with other science practices to study physics/physical science phenomena. An accompanying teacher dashboard will generate immediate, diagnostic, and actionable alerts driven by algorith ...

The team will develop a prototype of a virtual reality environment for high school students who are learning a foreign language. Students will become active participants in virtual scenarios using the target language of instruction (Russian in Phase I), with listening comprehension, vocabulary acquisition and recall, and grammar development occurring implicitly in simulated real-world context. At ...

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 ...

This effort will build upon our state-of-the-art technology for real-time human state assessment and rely on the expertise and existing sociometric data provided by JHU. Phase I will demonstrate the utility of social context factors in predicting the current and future state of a team and its members and will pave the way for Phase II development and comprehensive evaluation.

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 ...

The current seL4 ecosystem is centered on a wiki and github that are maintained by NICTA and Data61 (a commercial spin-off organization of NICTA). Many branches and forks of the seL4 code base are publicly accessible, but often orphaned and outdated. Additionally, the major training and education efforts are mainly offered and managed by Data61. However, due to geographical distance from the Unite ...

Obstructive sleep apnea (OSA) is a shockingly common clinical sleep disorder that has systemic and devastating health consequences. OSA affects nearly 30 million Americans, and is also highly prevalent in active duty military personnel with nearly 225,000 cases diagnosed between 2004 and 2016. Current treatment methods for OSA are cumbersome and often discarded by patients. Untreated OSA has been ...

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 ...