Results

Displaying 169-180 of 265 Results

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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.
Next-Generation Air Transportation System (NextGen) Weather Research

  • PI John Lanicci

  • Various activities in support of NextGen weather research, development, and testing of new capabilities.
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.
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.
NSF-ECCS: Collaborative Research: SWIFT: AI-based Sensing for Improved Resiliency via Spectral Adaptation with Lifelong Learning

  • PI Sirani Mututhanthrige Perera

  • This SWIFT project will demonstrate a system for spectral situational awareness through radio frequency (RF) machine learning (ML). The key objective is to obtain actionable spectrum intelligence in the sub-6 GHz legacy bands through a real-time understanding of waveform shapes, spectral content, and modulation schemes.
NSF-ECCS: Collaborative Research: Wideband Multi-Beam Antenna Arrays: Low-Complexity Algorithms and Analog-CMOS Implementations

  • PI Sirani Mututhanthrige Perera

    PI Arjuna Habarakada Madanayake

  • Explosion of millimeter-wave (mm-wave) bandwidth opens up applications in 5G wireless systems spanning communications, localization, imaging, and radar. This project addresses challenges in mathematics, engineering, and science in developing efficient wideband beamformers based on sparse factorizations of the matrix called-delay Vandermonde matrices (DVM). The proposed highly integrated approach is attractive for mobile applications including 5G smart devices, the internet of things, mobile robotics, unmanned aerial vehicles, and other emerging applications focused on mm-waves.

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Oil for Terrorism: Examining the Effectiveness of Western Intervention in ISIS’s Oil Smuggling

  • CO-I Rae Heuer

    CO-I Elisabeth Murray

  • The Terrorist organization ISIS has been identified as a violent, radical group that poses a threat to both the regional and international arena. By gathering both primary and secondary research data from foreign and domestic sources, this project investigates whether ending ISIS’s oil smuggling would decrease ISIS’s strength, power, and influence as a terrorist organization.