Department of Defense awards $100,000 for low-code or no-code tools

The United States Air Force (DoD) awarded Shaun Wallace and collaborator BAM Technologies a $100,000 SBIR/STTR Phase 1 grant. Their goal is to develop new, improve, or replace existing low-code or no-code technologies or frameworks that address end-users’ issues. Specifically, these tools will allow non-technical users to develop applications to solve organizational challenges secondary to the […]

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NSF Awards $599,999 for VR for Post-Trauma Self-Regulation

The National Science Foundation (NSF) has awarded $599,999 to Krishna Venkatasubramanian for Using Virtual Reality Technologies for Post-Trauma Self-Regulation for Adults with Intellectual and Developmental Disabilities, a project that will design VR-mediated technologies that empower adults with I/DD to engage in independent post-trauma self-regulation (PTSR) to cope with the negative effects of trauma.

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$100,000 Award for Sidewalk Stress Detection and Routing

$100,000 in scholarships from The 401 BridgeTech foundation have been awarded to Abdeltawab Hendawi’s AI Lab for Sidewalk Stress Detection and Routing. This project aims at the development of algorithms, spatial data structures, and artificial intelligence (AI) models for sidewalk feature identification to provide safer accessibility routing and services on sidewalks.

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NSF Awards $250,000 for Deforestation and Degradation Prediction

The National Science Foundation (NSF) has awarded Abdeltawab Hendawi $250,000 for Global Centers Track 2: Blue Climate Solution, a project that aims to improve predictions of deforestation and degradation, understand dynamic changes in carbon storage, and develop effective conservation policies. The Global Center (GC) for Blue Carbon Solutions, a partnership between the US and Indonesia, […]

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$85,000 Awarded for ML/AI Phenotype Assessment Tool

MindImmune Co. Awarded $85,000 to Abdeltawab Hendawi for Development of machine learning/artificial intelligence-based data analysis tools to assess phenotypes in mouse models of neurodegenerative diseases. Machine learning and artificial intelligence (ML/AI) tools are increasingly used to develop deep behavioral descriptors of phenotypes in mouse models of neurodegenerative and neuropsychiatric disease.

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