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Displaying 289-300 of 443 Results

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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 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.
On the climatology, multiscale dynamics, and predictability of convective snow bursts in the northern United States
  • PI Shawn Milrad

  • The goal is to broadly address non-lake effect snow squalls (hereafter referred to as “snow bursts”), defined as short-duration (< 6 h) mesoscale phenomena that can have substantial impacts on aviation and human interests during the cool season.