Displaying 289-300 of 438 Results

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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

  • 鈥婽his funding institutes a Research Experience for Undergraduates (REU) Site at 草莓视频 (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.
NUMERICAL SIMULATIONS OF SYNTHETIC JET ACTUATOR-BASED ICE PROTECTION SYSTEMS

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Oil for Terrorism: Examining the Effectiveness of Western Intervention in ISIS鈥檚 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鈥檚 oil smuggling would decrease ISIS鈥檚 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 鈥渟now bursts鈥), defined as short-duration (< 6 h) mesoscale phenomena that can have substantial impacts on aviation and human interests during the cool season.
On The Origin and Transport of Energetic Particles

  • PI Heidi Nykyri

    CO-I Xuanye Ma

  • Understanding the properties, origin and dynamics of energetic particles in the solar wind and magnetosphere is crucial for safe unmanned and manned space operations. This project will  unravel the birth-mechanism of the source population of the Earth's radiation belts.

On the synoptic-dynamic characteristics of extreme precipitation events: Understanding and quantifying the role of anticyclones

  • PI Shawn Milrad

  • This work represents an initial step towards further understanding and quantification of the importance of anticyclones, including their role in air mass modification (i.e., the transport of warm, moist air).
Open-Source Validation and Verification Framework for AI-Controlled Aerial Vehicles

  • PI M. Ilhan Akbas

  • The goal of this project is to develop a simulation framework to streamline the testing and validation of AI-controlled aerial vehicles. The Artificial Intelligence (AI) design and verification flow consists of the digital environment creation process, an open-source AI-controlled autopilot, access to multiple open-source simulators, symbolic test generation engine, example test scenarios, and native design-for-experiment layer for each of the major subsystem of an AI-controlled aerial vehicle.
OPTIMIS: Optimizing Human Performance in the Air Transportation Sector by Integrating Human Factors into Homeland Security Deterrence and Detection Procedures and Training: System Interfaces and Behavioral Screening at Security Checkpoints (草莓视频 Undergraduate Research Collaborative Grants Program 2023)
  • This project addresses human performance optimization in commercial air transportation by integrating human factors principles into homeland security deterrence and detection tasks, procedures, training, and technology interfaces at airport security checkpoints.
Optimizing Countermeasures for Spaceflight-Induced Deconditioning

  • PI Christine Walck

  • This research focuses on understanding space deconditioning and developing comprehensive systems to mitigate the adverse physiological effects of microgravity on astronauts.