Results

Displaying 121-132 of 202 Results

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Navigation and Control for Autonomous Vessels

  • PI Darris White

    PI Eric Coyle

    PI Patrick Currier

  • Development of closed-form solution for control of over-actuated maritime systems.
Neuromuscular-Activated Armband for Safety Operation of Small Unmanned Aircraft Systems

  • CO-I Eduardo Divo

    CO-I Victor Huayamave

    CO-I Jeremy Brown

  • The goal of this research is to implement wearable technology using neuromuscular activation and electrocardiograms signals to successfully operate small UAS using safety parameters proposed by the FAA.
NextGen Task G 4D FMS TBO Demonstration Benefits Analyses

  • PI Massoud Bazargan

  • The goal of the project was to leverage existing technology and Flight Management System (FMS) capabilities as a starting point to define standards and requirements for trajectory exchange, time of arrival control, and other building blocks.
NextGen Task J: Implementation of NextGen Air Traffic Management system. Integrated Airport Initiative. Benefit-Cost Analysis of Aircraft Arrival Management Systems (AAMS)

  • PI Vitaly Guzhva

    CO-I Ahmed Abdelghany

  • The main task was to evaluate AAMS implemented at CLT (with US Airways) and MSP (with Delta Airlines) and quantify its costs and benefits.
Novel Space Science Test via Adaptive Control and Integral Concurrent Learning Leveraging On-Orbit CubeSat Structural Identification

  • PI Riccardo Bevilacqua

  • The objective of this work is to create the basic science underpinning the structural testing and evaluation framework and control for deployable large spacecraft.
NREUP: Predictive Analytics for Dynamic Pricing in Private Aviation

  • PI Mihhail Berezovski

    CO-I Mariah Marin

    CO-I Camryn Wills

    CO-I Mafalda Soares

  • OneSky Flight supports the technology needs of four established private jet brands; Flexjet, Sentient Jet, PrivateFly, and Sirio. One key function required by these businesses is trip pricing. This is the exercise of determining the appropriate price for a trip, considering many factors. Today, this process is manual. The ultimate goal of this project is to create a dynamic pricing tool that generates an appropriate price for trips in the US and EU. There is a large part of this project that needs to be addressed: Event Calendar. The Event Calendar includes a factor for each day of the year. These factors are based on the events/holidays that happen throughout the year and their impact on the demand for days on and surrounding the events/holidays.  Support for this project is provided by the National Research Experience for Undergraduates Program (NREUP) of the Mathematical Association of America funded by the NSF Grant #1950644.

NSF Career Award: Effects of Magnetosheath properties on the dynamics and plasma transport produced by the Kelvin-Helmholtz Instability and on the Plasma Sheet Anisotropies

  • PI Heidi Nykyri

  • Project investigates impact of magnetosheath properties on Kelvin-Helmholtz instability 
NSF REU Site: Cybersecurity Research of Unmanned Aerial Vehicles

  • PI Laxima Niure Kandel

    CO-I M. Ilhan Akbas

  • ​This funding institutes a Research Experience for Undergraduates (REU) Site at Embry-Riddle Aeronautical University (ERAU). Each year, over the summer, ten highly motivated undergraduates will conduct an intense 10-week Unmanned Aerial Vehicles (UAV) cybersecurity research program complemented by professional development activities that prepare them for future cybersecurity careers and graduate schools.
NSF-CNS: REU Site: Swarms of Unmanned Aircraft Systems in the Age of AI/Machine Learning

  • PI Richard Stansbury

    CO-I Thomas Yang

    CO-I Sirani Mututhanthrige Perera

  • Embry-Riddle Aeronautical University establishes a new Research Experiences for Undergraduates (REU) Site to engage participants in research in drone swarms. Drone swarms create new opportunities with major societal implications.
NSF-DMS: Collaborative Research: Data-driven Realization of State-space Dynamical Systems via Low-complexity Algorithms

  • PI Sirani Mututhanthrige Perera

  • This project will utilize data-driven methods and analyze state-space dynamical systems to predict and understand future states, surpassing classical techniques. The project will also utilize state-of-the-art machine learning (ML) algorithms to efficiently analyze and predict information within data matrices and tensor computations with low-complexity algorithms.
NSF-DMS: Conference: Exchange of Mathematical Ideas Conference 2023

  • PI Douglas Mupasiri

    CO-I Sirani Mututhanthrige Perera

    CO-I Michael Prophet

    CO-I Hisaya Tsutsui

  • This award supports participation in the Exchange of Mathematical Ideas Conference which took place August 11-13, 2023 at the University of Northern Iowa in Cedar Falls, IA.
NSF-DUE: Distributed Learning for Undergraduate Programs in Data Science at Diverse Universities

  • PI Hong Liu

    CO-I Sirani Mututhanthrige Perera

    CO-I Ming Wang

    CO-I Michael Wolyniak

    CO-I Sheldon Liang

  • This project aims to serve the national interest by improving undergraduate education in data science. This project will develop and deliver ten Data Sciences (DS) courses to students from a consortium of eleven diverse universities by using a flexible distributed learning (DL) platform.