Results

Displaying 169-180 of 282 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.
NOAA UAS for In-Situ Tropical Cyclone Sensing

  • PI Massood Towhidnejad

    CO-I Ilteris Demirkiran

    CO-I Richard Stansbury

  • For this project, Embry-Riddle faculty and students are collaborating with the sponsor, the National Oceanographic and Atmospheric Administration, to produce an unmanned aircraft supporting in-situ sensing of a tropical cyclone environment near the ocean surface.
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.