Results

Displaying 109-120 of 202 Results

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Learning from Zombie Ants to Increase UAV Swarm Resilience to Faulted Agents

  • PI Bryan Watson

  • This proposal examines the issue of faulted-agent mitigation through the lens of Biologically Inspired Design.

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Machine Learning Engineering: Infusing Software Engineering through the Semantic Web

  • PI Omar Ochoa

  • ​The Semantic Web provides a wealth of high-quality, structured, and contextual data, which can be used to train machine learning models.
Magnetically-Driven Ventricular Assist Device

  • PI Eduardo Divo

    CO-I Christopher Adams

  • The proposed project brings together multi-scale computational fluid dynamics (CFD) analysis and mock circulatory loop (MCL) benchtop experiments to analyze the hemodynamics of a proposed Magnetically-Driven Ventricular Assist Device (MVAD).

Magnetospheric Multi-Scale (MMS) Observations and simulations of high-energy electrons in the dayside magnetosheath

  • PI Heidi Nykyri

    CO-I Brandon Burkholder

    CO-I Xuanye Ma

  • ​The key objective of this study is to better understand the source and cause of high-energy electrons observed by the MMS in the dayside magnetosheath. 
Manpower Planning for Maintenance Crew at SFO

  • PI Massoud Bazargan

  • The objective of this project is to optimize the use of maintenance manpower at San Francisco International Airport for efficient use of available resources and reduce flight delays.
Measuring Interstellar Temperature and Ionization Variations Using Observations of Faint Diffuse [OII] Emission

  • PI Edwin Mierkiewicz

  • The interstellar medium (ISM) plays a vital role in the ongoing cycle of stellar birth and death as well as galactic evolution. However the role of interstellar matter, from how its properties are influenced by stars to how, in turn, its properties influence star formation is poorly understood.

Media Literacy and Online Critical Thinking Initiatives

  • PI Diane Zorri

    CO-I Ann Phillips

    CO-I Daniel Gressang

    CO-I Matthew Sharp

    CO-I Mihhail Berezovski

    CO-I Rachel Silverman

    CO-I Steven Master

  • This project proposes a train-the-trainer professional development program for Volusia county’s secondary school educators to co-opt pedagogical tools and methods that challenge online violence mobilization narratives, increase awareness of violent extremist messaging and recruiting, and increase the capabilities of targeted populations to resist and counter messaging. 
Meta-Analyses of the Effects of Standardized Handoff Protocols on Patient, Provider, and Organizational Outcomes

  • PI Joseph Keebler

    CO-I Elizabeth Lazzara

  • This meta-analysis attempts to understand the benefits of a structured communication process on patient, provider, and organizational outcomes. Studies have found that one of the most crucial points during a patient’s hospital stay is the transition of care between one or more providers, often referred to as a patient handoff. These brief interactions between providers are often especially vulnerable to communication breakdowns due to interruptions, omission of pertinent information by the sender or receiver of the information. To illustrate, upwards of 80% of severe, preventable medical errors have been attributed to miscommunication during handoffs. In other words, failures in communication during handoff are potentially responsible for the loss of hundreds of thousands of lives every year in the United States.
Mixing of a supercritical jet in a supercritical cross-flow

  • PI Neil Sullivan

    CO-I Mark Ricklick

  • This project is focused on the exploration and validation of numerical modeling techniques, for the simulation of supercritical jets in crossflow. 
MRI: Acquisition of A Meteor Radar for the Andes Lidar Observatory

  • PI Alan Liu

Multi-Modal Sensor Fusion for ASV Situational Awareness

  • PI Eric Coyle

    CO-I Patrick Currier

  • An investigation into strategies and techniques for maritime object detection and classification using visual and spatial data with an emphasis on sensor fusion.
Multiscale Computational and Experimental Framework to Elucidate the Biomechanics of Infant Growth

  • PI Victor Huayamave

  • There is currently a lack of biomechanical quantification of growth and development because: (1) there is no generic musculoskeletal infant model, and (2) the lack of infant data in the literature.