Embry‑Riddle partners with private and public entities to assist in developing solutions to today's and tomorrow's aeronautical and aerospace problems. Here at the world's largest aviation-oriented university, our focus on applied research is unique.
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161-170 of 204 results

  • Exotic Propulsion

    PI Darrel Smith

    Exotic propulsion has captured the interest of many Embry‑Riddle students. As NASA plans its manned mission to Mars, we come face-to-face with a fundamental dilemma — a round trip to Mars will take almost three years with traditional chemical rockets!

    Such a journey would be impossible, as it would require the astronauts to live on Mars for almost a year. Furthermore, the long travel time would expose astronauts to lethal doses of radiation and debilitating periods of weightlessness. For the past 30 years, physicists and engineers have been developing exotic propulsion systems with the expectation of reducing the travel time from years down to months. Exotic propulsion systems under current investigation include plasma engines, matter-antimatter engines and nuclear-powered engines.

    Categories: Faculty-Staff

  • FAA ASSURE Center of Excellence for Unmanned Aircraft Systems

    PI Richard Stansbury

    ERAU has completed or is conducting research tasks addressing the impact of maintenance induced failures on UAS safety; the function allocation of systems operations between automated systems, remote pilots, and support crew, surveillance criticality for detect, and avoid systems; impact of UAM air traffic on air traffic controllers; data analysis to determine the impact of UAS on the NAS, UAS flight data recorder requirements, etc.



    ASSURE or the Alliance of System Safety for UAS through Research Excellence is a multi-university center designated by the Federal Aviation Administration (FAA) as its Center of Excellence for Unmanned Aircraft Systems established in 2015. As a core and founding member of ASSURE, ERAU sponsorship to conduct research enabling the integration of unmanned aircraft systems (UAS), advanced air mobility (AAM), and urban air mobility (UAM) in the National Airspace System (NAS). New funding opportunities come available 1-3 times per year.

    ERAU has completed or is conducting research tasks addressing the impact of maintenance induced failures on UAS safety; the function allocation of systems operations between automated systems, remote pilots, and support crew, surveillance criticality for detect, and avoid systems; impact of UAM air traffic on air traffic controllers; data analysis to determine the impact of UAS on the NAS, UAS flight data recorder requirements, etc.

    Categories: Faculty-Staff

  • Unmanned Aircraft Systems (UAS) Application to Support Aircraft Rescue and Fire Fighting (ARFF)

    PI Brent Terwilliger

    CO-I David Ison

    CO-I Dennis Vincenzi

    CO-I Dahai Liu

    This continuing research project features refinement of UAS application methods to support of ARFF responses. Previously, modeling and simulation, in combination with UAS attribute performance models, was implemented to better understand challenges, limitations, and potential benefits of UAS support. However, based on the findings and recommendations of the original inquiry, the research will be expanded to include examination of operator knowledge, skills, and abilities (KSAs), performance rating standards, and appropriate training requirements and delivery approaches.



    Our team of researchers from Embry‑Riddle Aeronautical University-Worldwide has been actively compiling published performance data associated with commercially-off-the-shelf (COTS) group 1 to 3 fixed-wing and vertical takeoff and landing (VTOL) unmanned aircraft systems (UAS) in an effort to develop statistical models of each category. The captured data, which includes maximum speed, cruise speed, endurance, weights, wind limitations, and costs, is used to calculate capabilities including range (one-way and return), time to objective, station keeping duration, and maneuver requirements. The benefit from assembling such a unified collection of information and the calculation of associated derived capabilities is that these models are anticipated to accurately reflect the capabilities, limitations, and considerations necessary in the assessment of such platforms for various applications and operating environments. These models will be available for combination with simulation or analysis frameworks to better assess end usability of these categories of aircraft for a significant number of applications including, emergency response, disaster relief, precision agriculture, security, tactical, communications, environmental study, infrastructure inspection, cargo delivery, and mapping/surveying.

    Publications:

    Terwilliger, B., Vincenzi, D., Ison, D., & Smith, T. (2015). Assessment of unmanned aircraft platform performance using modeling and simulation (paper no. 15006). In Volume 2015: Proceedings of the 2015 Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC). Arlington, VA: National Training and Simulation Association.

    Terwilliger, B., Vincenzi, D., Ison, D., Herron, R., & Smith, T. (2015). UAS capabilities and performance modeling for application analysis.  In Proceedings of the Association for Unmanned Vehicle Systems International 42nd Annual Symposium. Arlington, VA: Association of Unmanned Vehicle Systems International.

    Ison, D., Terwilliger, B., Vincenzi, D., & Kleinke, S. (2015). Airport bird activity - monitoring and mitigation: The unmanned aerial system (UAS) approach.Presented at the 2015 North American Bird Strike Conference, Montreal, QC.

    Categories: Faculty-Staff

  • IUSE/PFE: RED Innovation: Using Scrum to Develop an Agile Department

    PI Massood Towhidnejad

    CO-I Omar Ochoa

    CO-I James Pembridge

    Efforts to implement these kinds of changes are often slowed down by department cultures or faculty attitudes about the amount of time and work that would be involved. In this project the Electrical Engineering and Computer Science (EECS) Department at Embry‑Riddle Aeronautical University will implement an innovative approach to become a department that responds quickly to student and industry needs.

    The next generation of engineers will need essential technical and professional skills to solve the complex problems facing society. Changes to how departments operate, the curriculum, and teaching practices in engineering programs are required to better prepare students for the profession. Efforts to implement these kinds of changes are often slowed down by department cultures or faculty attitudes about the amount of time and work that would be involved. In this project the Electrical Engineering and Computer Science (EECS) Department at Embry‑Riddle Aeronautical University will implement an innovative approach to become a department that responds quickly to student and industry needs. This approach will apply agile development methods typically used in industry to deliver the best products faster. Agile methods involve working on teams in short cycles which allow shared work responsibility, frequent feedback, and adjustments between cycles. The EECS Department will use the Scrum agile method to organize how the department carries out its normal operations. The department will also embed Scrum agile product development into courses across the curriculum. The new approach will allow faculty to achieve quicker changes and implementation of prioritized items for the department. Examples of prioritized items will include incorporating more evidence-based practices in courses such as just-in-time teaching, case-based teaching, active learning, and peer instruction; fostering inclusive learning environments; updating course materials; revising department procedures; and recruiting diverse students and faculty. Consequently, both faculty and students in the department will gain expertise with this agile professional skill. The project will investigate how the changes to department operations enhance faculty and student experiences. The findings would help inform other engineering departments about practices to improve the education of a diverse student population to be well-skilled engineers for the workforce.

    The objectives of this project will be to radically transform the EECS department into an agile department that: 1) develops students into engineers with agile skills desired by industry, and 2) develops an agile faculty culture which models the use of agile practices for students. Faculty will work collectively in Scrum teams to innovate the practices, policies, and culture of the department. Students will use Scrum in individual and team projects throughout the middle two years of the curriculum to progressively build their expertise for the culminating capstone courses in the senior year. The research study will use an explanatory case study design guided by social cognitive theory. Quantitative and qualitative analyses will be performed using data from interviews with faculty and students, feedback from stakeholders, and artifacts from Scrum teams. Research results could lead to transformations in engineering education by offering a model on the novel use of Scrum as an agile organizational practice and its influences on the collective efficacy of faculty. This project is jointly funded by the Division of Undergraduate Education and the Division of Engineering Education and Centers reflecting the alignment of this project with the respective goals of the divisions and their programs.

    Categories: Faculty-Staff

  • Big Data Analytics for Injury Data

    PI Dothang Truong

    This project leverages big data analytics tools for the exploration and transformation of injury data for a major Part 121 carrier with the goal of predictive modeling. This project offers graduate students an opportunity to work with a substantial airline dataset under the supervision of a faculty member. The outcomes have the potential to lead to more extensive future projects in the realm of big data analytics. (This project is under strict NDA).


    Categories: Faculty-Staff

  • Developing Artifact Peer Review Assignment Methodologies to Maximize the Value of Peer Review for Students

    PI Matthew Verleger

    This engineering education research project seeks to develop a proof-of-concept peer review matching algorithm and demonstrate if it is a valuable and viable methodology for conducting peer review. Peer review is a proven method that has positive impact on student learning. The project will test the algorithm on Model Eliciting Activities in the engineering classroom, and investigate how changing peer review can affect student learning.



    ​The broader significance and importance of this project is the transformative potential of improving peer review processes, since peer review is used throughout STEM and medical fields. Thus this preliminary investigation can extend outside the realm of improving student learning. This project overlaps with NSF's strategic goals of transforming the frontiers through preparation of an engineering workforce with new capabilities and expertise. Additionally NSF's goal of innovating for society is enabled by supporting the development of innovative learning systems.

    ​


    Categories: Faculty-Staff

  • 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.



    By data mining course materials (i.e., textbooks, course notes, syllabi, video transcripts, websites, etc.), a concept network can be developed for that course. With each additional resource, the network connectedness become more fully representative.  By mapping materials from courses throughout a curriculum, and then overlaying the resulting map on a degree plan of study, students will be able to better identify and value how concepts being taught today are connected and used throughout the rest of their education. For instructors, curricular redesign becomes significantly easier, as they will be able to more fully contextualize how other courses depend on their material.

    Categories: Faculty-Staff

  • Bayesian Analysis of Stellar Evolution

    PI Theodore von Hippel

    Bayesian Analysis of Stellar Evolution is an international collaboration studying stellar evolution with an emphasis on stellar ages. We also develop and support a Bayesian software suite that recovers star cluster and stellar parameters from photometry, currently called BASE-9.

    BASE-9 is useful for analyzing single-age, single-metallicity star clusters, binaries, or single stars, and for simulating such systems. BASE9 uses Markov chain Monte Carlo to estimate the posterior probability distribution for the age, metallicity, distance modulus, and line-of-sight absorption for a cluster, and for the mass, binary mass ratio, and cluster membership probability for every cluster member.

    Categories: Faculty-Staff

  • 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.

    Spaceflight-induced deconditioning presents a major challenge to human health during and after long-duration missions, contributing to muscle atrophy, bone loss, cardiovascular dysfunction, and sensorimotor impairment. This research investigates the underlying mechanisms of physiological decline in microgravity and evaluates integrated mitigation strategies using a combination of ground-based analogs (e.g., head-down tilt, LBNP), biomechanical modeling, and real-time physiological monitoring. By developing a modular countermeasure system — featuring tools like the Lower Extremity Force Acquisition System (LEFAS) and personalized exercise protocols — we aim to preserve musculoskeletal and cardiovascular integrity throughout space missions. The findings contribute to NASA’s broader efforts in preparing astronauts for lunar and Mars exploration.

    Categories: Faculty-Staff

  • Small UAS (sUAS) Mid-Air Collision (MAC) Likelihood

    PI Ryan Wallace

    CO-I Dothang Truong

    CO-I Scott Winter

    CO-I David Cross

    This research focuses on sUAS MAC likelihood analysis with general aviation (GA) and commercial aircraft. Because severity research varies based on where a collision occurred on a manned aircraft, this likelihood research will not only look at the probability of a MAC, but also the likelihood of colliding with different parts of a manned aircraft.

    Complete Mid-Air Collision (MAC) risk assessments require estimates of both collision severity and collision likelihood. This research focuses on sUAS MAC likelihood analysis with General Aviation (GA) and commercial aircraft. Because severity research varies based on where a collision occurred on a manned aircraft, this likelihood research will not only look at the probability of MAC but also the likelihood of colliding with different parts of a manned aircraft.

    Categories: Faculty-Staff

161-170 of 204 results