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Displaying 313-324 of 443 Results

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Pilot’s Willingness to Operate in Unmanned Aircraft System Integrated Airspace

  • PI Lakshmi Vempati

    PI Scott Winter

  • The interest in Unmanned Aircraft Systems (UAS) use for private, civil, and commercial purposes such as package delivery, inspection, surveillance, and passenger and cargo transport has gained considerable momentum. As UAS infiltrate the National Airspace System (NAS), there is a need to not only develop viable, safe, and secure solutions for the co-existence of manned and unmanned aircraft, but also determine public acceptance and pilot’s willingness to operate an aircraft in such an integrated environment. Currently there is little or no research on pilot’s perceptions on their willingness to operate an aircraft in UAS integrated airspace and airports.

Pilot-in-the-Loop UAS Mobile Research Test-Bed

  • PI Hever Moncayo

    CO-I May Chan

    CO-I Ashwini Agrawal

    CO-I Agustin Giovagnoli

  • This project aims to develop and implement a Mobile UAV Ground Control Station (GCS) supporting aviation safety research with pilot-in-the-loop capabilities using unmanned aerial systems platforms, in which flight conditions, such as systems failures, could be simulated in real-time to characterize pilot response, control laws performance, and human-machine and control laws interactions.
Platform for Investigating Concept Networks on the Instrumentality of Knowledge (PICNIK)

  • PI Matthew Verleger

  • This engineering education research project seeks to develop a concept network for engineering and a platform for helping students identify how concepts are connected across a curriculum.  The goal is to better understand and improve how students value the concepts being taught throughout their education.

PLD Space Suborbital Microgravity Research

  • PI Pedro LLanos

  • This project involves the design, development, integration, testing, validation, and verification of various payloads to be flown aboard PLD Space’s MIURA-1 suborbital rocket. 
    1. Magnetic Active Propellant Management Device (MAPMD) experiment (student involvement) 
    2. In-vitro experiment comprised of both T-cells and Cancer cells 
    3. Cerebrospinal fluid (CSF) shunt experiment (student involvement) 
    4. Environment characterization of the suborbital vehicle experiment (student involvement)
PolyVerif: Open-Source Environment for Autonomous Vehicle Validation and Verification

  • PI M. Ilhan Akbas

  • ​Validation and Verification (V&V) of Artificial Intelligence (AI) based cyber physical systems such as Autonomous Vehicles (AVs) is currently a vexing and unsolved problem.
Porous Media

  • PI Harihar Khanal

    CO-I Ciprian Mancas

  • This project will build a mathematical and computational model for investigating growth and transport of micro-organisms in unsaturated soil described by the nonlinear Richards' equation with source terms. These source terms contribute to change the saturation function, or the microbial population density, in addition to the nonlinear diffusion.
Predicting General Aviation Accidents Using Machine Learning Algorithms

  • PI Bradley Baugh

    CO-I Bruce Conway

  • Aviation safety management is implemented through reactive, proactive, and predictive methodologies. Unlike reactive and proactive safety, predictive safety can predict the next accident and enable prevention before an actual occurrence. The study outlined here promotes predictive safety management through machine learning technologies using large amounts of data to facilitate predictive modeling.

Predicting Pilot Misperception of Runway Excursion Risk Through Machine Learning Algorithms of Recorded Flight Data

  • PI Edwin Odisho

    CO-I Dothang Truong

  • The research used predictive models to determine pilot misperception of runway excursion risk associated with unstable approaches. The Federal Aviation Administration defined runway excursion as a veer-off or overrun of the runway surface. The Federal Aviation Administration also defined a stable approach as an aircraft meeting the following criteria: (a) on target approach airspeed, (b) correct attitude, (c) landing configuration, (d) nominal descent angle/rate, and (e) on a straight flight path to the runway touchdown zone. Continuing an unstable approach to landing was defined as Unstable Approach Risk Misperception in this research. A review of the literature revealed that an unstable approach followed by the failure to execute a rejected landing was a common contributing factor in runway excursions.

Prediction of Flight Delays Using Bayesian Networks and Data Mining

  • PI Dothang Truong

  • The increasing demand for air travel over the years has put United States airports to their capacity limit that results in risk of flight delays. The frequency of flight delays and long delay time has negative impacts on the aviation industry, airlines reputation, and airport operations.
Predictive Analytics for Unmanned Aerial Systems Deployment
  • ​This research covers unmanned systems deployment in uncertain adversarial environments. Resilient logistics operations call for a holistic and crosscutting approach to proactively address both real-time and persistent adversarial events in several operational areas to outfit mobility platforms, networks, and C2 digital twin to support continued uninterrupted operations.
Privacy-Preserving Authentication Scheme

  • PI Shafika Showkat Moni

  • This research project focuses on designing efficient privacy-preserving authentication schemes to reduce the communication and computation overhead related to authenticating entities in VANET.
Project ARAPAIMA

  • PI Bogdan Udrea

  • Many space-based imaging methods are conducted using spacecraft based telescopes or cameras; these are usually two-dimensional still images and video. To accurately map and analyze resident space objects (RSOs) a three-dimensional (3D) approach must be taken.