Engineering Commons^™

Engineers Without Borders Lunch & Learn Presentation, Brian Roth, Ruben Yoder, Phoenix Professional Chapter

International Education Week

Discover how engineering can help address challenges and improve lives around the world. Learn from Engineers Without Borders students and professionals about their global work, community partnerships, and opportunities to get involved.

Sustainability Without Limits: Over-The-Air Updates In Sdv's, Brandon Ibarra, Kevin Z. Sun, Sean Mathura, Olivia H. Honan, Noah Clark

Sustainability Conference

Abstract Software-defined vehicles (SDVs) change after sale through over-the-air (OTA) updates. We define automotive sustainability as maximizing useful service from the materials, battery, and energy invested in a vehicle over it’s life cycle, in turn promoting long-term ecological balance. OTA updates advance this in three ways: extending service life, fixing defects remotely, and adding software that lowers energy use, such as off-peak charging recommendations. Energy features, however, save energy only when drivers notice, understand, and safely use them. Our focused literature review connects three findings: eco-driving feedback improves fuel economy by 6.6% on average, interface design shapes both that benefit …

The Pure Water Project, Colton Casey, Anna Engelman, Abby Strobel

Sustainability Conference

After earthquakes devastated Haiti in 2010, a team of Embry-Riddle students and faculty built and installed a solar-powered water purifier to improve both the environmental and human health concerns created by the lack of infrastructure, clean water, and sanitation. Since then, the group Pure Water Project has installed 12 water purifiers in orphanages, clinics, schools, and community centers in Haiti and the Dominican Republic. The group relies on its partner selection criteria and local contacts to determine the installation site for the purifier. The fall and spring semester leading up to the installation trip in May are spent designing, building, …

A Macroergonomic Analysis Of Autonomous Robotic Construction For Affordable Housing, Ricardo Leon Jimenez

Sustainability Conference

As communities seek to increase housing supply, the construction sector continues to grapple with rising costs, skilled labor shortages, and growing pressure to improve environmental sustainability. Meeting these demands will require new approaches that increase productivity while lowering environmental impact throughout the building lifecycle. Recent advances in autonomous systems developed for space exploration offer alternative ways to design, assemble, and maintain residential buildings. This study examines the potential application of NASA's Automated Reconfigurable Mission Adaptive Digital Assembly Systems (ARMADAS) technology from space construction to terrestrial affordable housing construction.

While most construction automation research focuses on technical performance, this study considers …

Several Complex Variables, Pseudoconvexity, And Plurisubharmonic Defining Functions, Luka Mernik

Math Department Colloquium Series

This talk introduces some basic concepts in several complex variables and explains the role of pseudo convexity through two fundamental topics: Hartog’s' extension phenomenon and the Levi problem. A stronger property than pseudo convexity is the existence of a plurisubharmonic defining function. Such defining functions play an important role in the study of analytic objects associated with a domain, including the regularity of the d-bar Neumann operator and the Bergman projection. The main question of this talk is whether a pseudo convex domain admits a plurisubharmonic defining function. We approach this question in two steps. First, we establish a necessary …

Willingness To Pilot Under Varying Weather And Tower System Conditions: Mediating Effects Of Risk, Nathan Royal Schultz

Doctoral Dissertations and Master's Theses

The implementation of Remote Tower Systems (RTS) within the National Airspace System (NAS) offers potential improvements in operational efficiency, cost-effectiveness, and scalability; however, its success depends on pilots' willingness to operate in such environments. This study examined the effects of tower system type (RTS vs. Traditional Tower Systems [TTS]) and weather conditions (visual meteorological conditions [VMC], marginal visual meteorological conditions [MVMC], and instrument meteorological conditions [IMC]) on pilots’ willingness to pilot (WTP), while also evaluating the mediating role of perceived risk (PR). Grounded in Paul Slovic’s Risk Perception Theory (RPT), this research employed a quantitative experimental design using a factorial …

Domain Knowledge-Informed Machine Learning Model To Study Weather-Induced Flight Delays, Gurvir Bawa

Doctoral Dissertations and Master's Theses

Weather-induced Traffic Management Initiatives (TMIs) occur rarely relative to normal air traffic operations. This scarcity produces severe class imbalance that limits predictive models of flight delay. To address it, this dissertation leverages a physics- and domain- knowledge informed Variational Autoencoder (VAE), conditioned on airport identity, that generates physically plausible synthetic weather events for underrepresented TMI categories. The fidelity of the model is assessed with a calibrated discrepancy measure disclosed along- side the results rather than described in free-form terms. A multitask Graph Neural Network (GNN) is then trained on the augmented dataset to jointly classify airport-level TMI status and predict …

Payload Selection To Correlate Shielding Performance With Molecular Structure And Elemental Composition For Rosisat: The Radiation Orbital Shielding Investigation Satellite, Chase Patterson, Jacob L. Blanton, Kylie Nager

Beyond: Undergraduate Research Journal

Exposure to space weather in the Low Earth Orbit (LEO) environment poses significant challenges to both the integrity and longevity of orbital hardware, as well as the health of astronauts, driving the necessity for improved means of radiation shielding for future missions. With a 1U CubeSat formfactor, ROSISat is a planned LEO mission that aims to characterize the radiation shielding capabilities of seven candidate materials: ultra-high molecular weight polyethylene, boron nitride, carbon nanotubes, boron nitride nanotubes with polyethylene fibers, carbon fiber reinforced composite, and aerographene, as well as two control materials: aluminum 6061 and ep33. By comparing the shielding performance …

Modeling Of Supersonic Wave And Shock Propagation Using The Lattice Boltzmann Method, Timothy P. Schroeder

Beyond: Undergraduate Research Journal

The lattice Boltzmann method (LBM) has emerged as a mesoscopic alternative to traditional Navier-Stokes solvers for modeling fluid dynamics offering advantages in computational efficiency, parallelization, and handling of complex boundaries. Despite these strengths, accurately reproducing compressible, shock-driven phenomena remains challenging. This study investigates the performance of LBM in simulating the Sod shock tube problem, a classical benchmark for compressible flow-using both single and double distribution function formulations across one- and two-dimensional lattice stencils. A MATLAB-based solver was developed to model the flow under isothermal conditions and compared to the analytical solution using the L2 norm error. The one-dimensional models achieved …

Novel Uncrewed Aircraft Water Sampling Device, Justin Fratto, Avinash Muthu Krishnan, Kayla D. Taylor, David Zink, Marc Compere, Kevin Adkins

Discovery Day - Daytona Beach

Supported by the Environmental Protection Agency (EPA), this project’s objective is to create a novel simultaneous surface and discrete depth water sampler for use with an uncrewed aircraft, something which has not been done before. The device will be used to improve the spatiotemporal resolution of harmful algal bloom (HAB) monitoring on Lake Okeechobee in South Florida to provide timely and precise information on water quality and HABs. HABs are characterized by the EPA as certain species of algae that can produce harmful toxins and produce excessive blooms or growth in certain conditions. Often occurring in warmer months due to …

Navigating The Challenges: Preflight Planning With Notam In Australia’S General Aviation Sector, Joshua Chiang, Guido Carim Junior

Journal of Aviation/Aerospace Education & Research

Notices to Airmen (NOTAMs) are an integral part of a pilot’s preflight navigational briefing, providing pertinent information in textual format. However, significant shortcomings have been found in the NOTAM system and in its use, with many of the shortcomings revolving around the interface. This study aimed to identify and evaluate the challenges general aviation pilots face when interacting with NOTAMs during preflight navigational planning. A thematic analysis study was conducted and included episodic semi-structured interviews with 15 pilots and document analysis. The interview transcription and excerpts of NOTAMs were analyzed following a thematic analysis technique. The findings of this preliminary …

Impact Of In-Cabin Human Machine Interface Designs On Passenger Trust In Urban Air Mobility, Ricole A. Johnson, Erika E. Gallegos

Journal of Aviation/Aerospace Education & Research

Urban Air Mobility (UAM) presents a promising solution for alleviating urban traffic congestion and enhancing transportation efficiency. However, the widespread acceptance of UAM, particularly sustained ridership of autonomous passenger air vehicles (PAVs), is contingent upon addressing critical human factors for building passenger trust, especially in the absence of a human pilot. This paper evaluates how different in-cabin human-machine interface (HMI) designs affect passenger trust in the aircraft and in-cabin display, situation awareness, and pilot preferences. Forty participants, equally split between early and late technology adopters, completed two simulated flights: a baseline flight with no HMI and a second flight featuring …

Instructional Fidelity In Virtual Flight: Applying A Structured Learning Model For Vr-Based Pilot Training, Lindsay Gouedy, Bryce Jarrell, Mary Fendley, Brandon Wolf

Journal of Aviation/Aerospace Education & Research

As immersive training technologies reshape the future of aviation education, this study explores the impact of integrating Virtual Reality (VR) into a structured instructional model for B-52 pilot training. With the development and implementation of the I-BUFF (Integrated B-52 Unit Flight Familiarization) model, an innovative framework built upon the 4C/ID (Four Component Instructional Design) and SEEV (Salience, Effort, Expectancy, Value) models, this research evaluates whether structured VR environments improve training transfer and accelerate task proficiency for in-air refueling tasks. A sample of 233 pilot trainees was assessed across three groups: traditional training (non-VR unstructured), VR semi-structured, and VR fully structured …

The Role Of User Experience In Virtual Reality Flight Training: A Comparison With Pc-Based Simulation, Tianxin Zhang, Christina M. Frederick, Barbara Chaparro

Journal of Aviation/Aerospace Education & Research

The current project explores how user experience (UX) in virtual reality (VR) flight simulation influences both cognitive learning outcomes and procedural skill acquisition when compared to traditional desktop-based simulation.. Using a quasi-transfer of training design, 48 student pilots were randomly assigned to VR, Desktop, or Control groups and trained on the Chandelle maneuver. UX was measured with the User Experience Questionnaire (UEQ), while training effectiveness was evaluated through a post-training knowledge test and recorded maneuver performance on a high-fidelity flight training device. Results indicated that the VR group reported significantly higher UX scores in Attractiveness, Stimulation, and Novelty, and showed …

Utilising Video Recordings To Assess Student Pilot Performance: An Exploratory Study During A Simulated Training Flight, Bradley Moncion, Shi Cao, Allison Lynch, Suzanne K. Kearns, Elizabeth Irving, Ewa Niechwiej-Szwedo

Journal of Aviation/Aerospace Education & Research

In ab initio flight training, the quality of the feedback a flight instructor provides their student is essential to their success. While other high-performance and safety-critical industries have incorporated the use of video recordings into training and assessments, the aviation industry generally has not. There are some studies addressing the potential benefits of video recordings in training professional pilots, but there is a lack of research at the ab initio level. In this study, five flight instructors assessed the performance of student pilots conducting a simulated training flight using a 4-point marking scale. The flights instructors were then tasked with …

Evaluation Of Tactile Cueing Embedded In An Aviation Headset On Pilot Altitude Control, Nicholas D. Wilson, Jessica Van Bree, Matthew Cleveland, Sunny Charakuru, Thomas Petros, Richard Ferraro, Kouhyar Tavakolian

Journal of Aviation/Aerospace Education & Research

This study evaluated the effectiveness of tactile cueing integrated into a pilot’s headset on pilot altitude control during simulated instrument conditions. Pilots typically rely on visual and auditory inputs to maintain situational awareness, but in high-workload or instrument meteorological conditions (IMC), these channels can become overloaded. One underutilized alternative for alerting is a tactile cueing apparatus. Using an X-Plane simulation of a Piper Archer equipped with a G-1000 avionics suite, 39 FAA-certified pilots flew two precision approaches. The experimental group (n = 20) received haptic cues via ear seal-embedded tactors when deviating from assigned altitude or glideslope. The control group …

Prototype Ai Assistant For Private And Student Pilots, Shawn De La Osa

Discovery Day - Daytona Beach

This research explores AI-based decision support in light general aviation (e.g., Cessna 172, Diamond), where onboard hardware is typically too limited for modern AI. In aviation, AI has the potential to act as a “copilot” supporting planning, execution, and assessment, particularly since single pilots must simultaneously aviate, navigate, and communicate under high workload. However, although AI adoption is rapidly expanding, many implementations are introduced without fully incorporating human-centered design processes that account for pilot workflow and workload. We leverage a human factors process in this research. First, we design and evaluate a cloud-based AI copilot . The system leverages Starlink …

Artificial Intelligence Decision Support And Pilot Performance, Aarohi Srivastava

Discovery Day - Daytona Beach

The integration of artificial intelligence (AI) into aviation decision support systems (DSS) introduces new opportunities for pilots. While these systems offer considerable benefits, ensuring safe and optimal human-AI interaction requires further research. In the case of student pilots, trust calibration, system transparency, and appropriate reliance are all factors that influence the operational success of an integrated AI system. The systems are designed with the goal of decreasing cognitive workload, increasing situational awareness (SA), and providing data-based recommendations to help the pilot make quick and accurate decisions. This study will evaluate the effects of disclosed vs undisclosed AI accuracy on student …

Flight Testing And System Identification Of An Experimental Cessna 182, Mariano Chavez Rangel

Discovery Day - Daytona Beach

Flight testing and system identification are essential for accurately characterizing aircraft dynamics and supporting the development of reliable flight control systems. This work presents the use of an experimental Cessna 182 as a full-scale platform for flight testing and system identification, conducted by the Eagle Flight Research Center. The objective is to generate high-fidelity flight data to estimate aerodynamic and dynamic coefficients and establish a baseline model for comparison with a sub-scale aircraft incorporating Integrated High-Lift Propulsor (IHLP) technology. The experimental aircraft is equipped with a comprehensive onboard instrumentation suite designed to capture synchronized measurements of air data, aircraft motion, …

Advancing Vtol Tail-Sitter Stability Through Modern Flight Control And System Identification, Tobey Cram, Jacob House, Alexander Theophanis

Discovery Day - Daytona Beach

Title: Advancing VTOL Tail-Sitter Stability Through Modern Flight Control and System Identification   The concept of tail-sitter aircraft can be traced back to Nikola Tesla nearly 100 years ago; however, no aircraft with this novel design materialized until nearly 20 years later during World War II, when efforts were made to reduce reliance on runways. One notable design that emerged during the Cold War was the Convair XFY-1 Pogo. This design failed for reasons common to many others of the time: pilots had extreme difficulty landing while looking over their shoulders, and the technology of the era could not reliably maintain …

Data-Driven Learning Algorithms To Predict Spacecraft Trajectories In The Dro Family, Sarath Murarisetty, Hansaka Aluvihare Aluvihare, Oshani Jayawardane, Annika Anderson

Discovery Day - Daytona Beach

Generating precise, accurate, and efficient trajectories in the Earth-Moon circular restricted three-body problem (CR3BP) is crucial for long-term lunar missions, yet it remains challenging. A primary reason for this is that the CR3BP is an extremely nonlinear and chaotic system. Fortunately, neural networks present a promising approach for addressing such complex nonlinear challenges. In “Data-driven Learning Algorithms to Predict Spacecraft Trajectories in the DRO Family,” this work addresses the challenge of solving a nonlinear system within the CR3BP framework to determine the trajectories of spacecraft within the Distant Retrograde Orbit (DRO) family using neural networks (NNs). For a comprehensive comparison …

Adaptive Health Monitoring For Runtime Safety Assurance​ Of Advanced Air Mobility Applications, Michael Budihartono, Francisco Bustamante, Gabriela Gavilanez

Discovery Day - Daytona Beach

This work proposes a comprehensive, adaptive framework for abnormal condition detection and flight envelope prediction in complex systems. The approach integrates data reduction techniques, including principal component analysis and lower-dimensional projections, to efficiently distinguish between nominal and abnormal operational states while maintaining computational efficiency through metacognitive interventions. A hybrid detection architecture combines bio-inspired real-value negative selection algorithms with support vector machines, augmented by generative machine learning models to synthesize failure data and support training through digital twin environments. Online fault trend analysis enables continuous monitoring of system degradation, while the system dynamically adapts to operational variations by minimizing offline training …

Impact Of Acute Flight Training Stress On Cardiovascular Health: A Pilot Study, Toni Butler

Discovery Day - Daytona Beach

Impact of acute flight training stress on cardiovascular health: A pilot study  Toni C. Butler, Carolina R. P. Ferreira, Bryan W. Hinton, Noah J. Robbins, Sophia R. Vaden, Andrew H. Schneider, Scott K. Ferguson, Ph.D.   Cardiovascular conditions are among the most common medical issues in certificated pilots and a major source of certification scrutiny. Student pilots experience unique acute stressors during flight training that may influence both physiological and psychological health. Acute stress is known to affect cardiovascular function, including vascular endothelial health; however, the impact of flight training–related stress on cardiovascular function remains poorly characterized. This pilot study tested …

Crowd Monitoring And Firearm Detection Uas, Arjun Nambiar, Sang-A Lee, Diego Espino, Will Obot Jr, Ethan Encarnacion, Jarrett Usui, Jacob D. Kline

Discovery Day - Daytona Beach

The increasing complexity of public safety operations in urban and high-density environments necessitates intelligent, mobile surveillance systems capable of real-time threat identification and situational awareness. Traditional monitoring approaches, such as fixed CCTV systems and manual observation, are often limited by coverage, scalability, and response latency in complex environments or large-scale events. This project addresses these challenges through the development of a computer vision-enabled Uncrewed Aerial System (UAS) designed for crowd monitoring and firearm detection. The primary objective is to design and validate a modular, Artificial Intelligence (AI)-Machine Learning (ML)-driven model capable of identifying firearms within dynamic environments while supporting real-time …

Characterizing Air Traffic Density Using Nationwide Ads-B Data, Taeyun Yoo, Arjun Nambiar, Sang-A Lee

Discovery Day - Daytona Beach

This study addresses the increasing need to understand aircraft activity in low-altitude airspace, where emerging operations such as Unmanned Aircraft Systems (UAS) and Advanced Air Mobility (AAM) are expected to heighten traffic complexity and safety risks. This research develops a scalable framework for constructing a nationwide, high-resolution, altitude-stratified airspace density atlas using Automatic Dependent Surveillance–Broadcast (ADS-B) data. The methodology incorporates large-scale data acquisition, terrain-referenced altitude normalization, and spatial aggregation using a hexagonal grid system, followed by statistical modeling to estimate traffic density across spatial and temporal dimensions. Preliminary results indicate the capability to generate detailed geospatial representations of aircraft activity, …

Investigation Of Bio-Inspired Design Tools In Satellites, Spoorti Nanjamma

Discovery Day - Daytona Beach

This study investigates the application of Biologically Inspired Design (BID) tools within student-led satellite design teams, with the goal of enhancing early-stage systems engineering practices. As CubeSat missions become increasingly complex and resource-constrained, there is a need for approaches that support innovative yet structured problem-solving. While BID has shown promise in other engineering domains, its practical integration into satellite design, remains limited. To address this gap, three interactive workshops were developed and implemented with a Embry-Riddle Aeronautical university CubeSat team – Project COMET. The first workshop focused on functional decomposition, guiding students to express subsystem behavior in verb–noun form and …

Model-Based Systems Engineering Test Case Development And Traceability For Cubesats, Spoorti Nanjamma, Abigail Butcher

Discovery Day - Daytona Beach

Model-Based Systems Engineering (MBSE) using CATIA Magic Systems of Systems Architect (formerly known as CAMEO) is applied to develop a structured and traceable approach to test case modeling for CubeSat missions. The effort focuses on supporting unit-, subsystem-, and system-level testing by explicitly linking system requirements to corresponding test cases within the model, ensuring clear traceability across all verification levels. Each test case is organized within a dedicated package that includes a Block Definition Diagram (BDD) and Internal Block Diagram (IBD) to represent the complete test configuration, capturing all relevant components, subsystem boundaries, and interface connections involved in the test …

Selfish Herd: Emergence Of Distributed Sensing, Timothy Mascal

Discovery Day - Daytona Beach

The problem of multi-agent swarm formation control seeks decision frameworks that exhibit desirable emergent behavior, including distributed sensing and communication, while remaining resilient to environmental noise. Previous work has demonstrated that the Selfish Herd Model is not only resilient to simulated sensor noise but performs better in its presence. This work further investigates the emergent behaviors of the Selfish Herd Model, particularly distributed sensing, by investigating whether the swarm achieves global stability equivalent to that observed in previous work utilizing global knowledge. A parameter variation study was performed across varying agent visual range and maximum neighbor count inputs to simulate …

Designing And Evolving The Life Support System For Spacex Starship: Toward Closed-Loop Sustainability For Mars Missions, Frányerson R. López Ochoa

Discovery Day - Daytona Beach

The development of a robust Life Support System (LSS) is essential for enabling long-duration human spaceflight beyond Low Earth Orbit (LEO), particularly for missions to Mars. SpaceX Starship represents a next-generation spacecraft designed to support such missions; however, its Environmental Control and Life Support System (ECLSS) remains under active development. This work evaluates the current status of Starship’s LSS by analyzing publicly available data, NASA Human Landing System requirements, and heritage systems such as the International Space Station (ISS) ECLSS and Crew Dragon.

Atmospheric Gas Dynamics Of Mars: A Multi-Sensor Remote Sensing Approach For Fine Vertical, Global, And Event-Driven Analysis, Frányerson R. López Ochoa

Discovery Day - Daytona Beach

To provide precise vertical resolution and worldwide coverage across all seasons and altitudes, this study integrated nadir, limb, occultation, and general circulation model (GCM) measurements in a thorough remote sensing examination of the Martian atmosphere. The study examined the density and temperature structures of major atmospheric gases, mainly carbon dioxide (CO₂), molecular nitrogen (N₂), and argon (Ar), using mission datasets from the Mars Reconnaissance Orbiter (MRO), Mars Express (MEX), and the ExoMars Trace Gas Orbiter (TGO). It also assessed retrieval uncertainties resulting from dust, ice clouds, and sensor limitations. The study concluded that, though valuable, single-geometry observation techniques are unable …