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Experimental Methods For Characterizing Interfaces In Multi-Material Adhesive Joints, Kevin L. Cloherty, Drupad Kadiyala Bhavani, Dante P. Stigliano, Alexander H. Krueger, Christopher J. Hansen, Amy M. Peterson, Alireza V. Amirkhizi Aug 2026

Experimental Methods For Characterizing Interfaces In Multi-Material Adhesive Joints, Kevin L. Cloherty, Drupad Kadiyala Bhavani, Dante P. Stigliano, Alexander H. Krueger, Christopher J. Hansen, Amy M. Peterson, Alireza V. Amirkhizi

MMRL-XMO Industrial Seminar

Multi-material systems bonded with adhesives are increasingly used in engineering due to their design flexibility and performance. To fully optimize these systems, it is essential to characterize their interfacial properties accurately. However, standardized methods to characterize interfacial properties under pure stress states, especially in dissimilar material joints, are limited. This study presents a framework using modified poker-chip and hat-shaped specimens to promote dominant normal and shear adhesion behavior in polymer-ceramic systems. Custom fixtures were designed to reduce material use and maintain uniform adhesive thickness during sample preparation. Preliminary results demonstrate dominant mode-specific interfacial properties for various multi-material and adhesive configurations. …

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Experimental Investigation Of Thermal States In Polymer–Ceramic Multi-Material Additive Manufacturing, Jagadeesh Reddy Kanuboddu, Amy Peterson, Alireza Amirkhizi, Christopher J. Hansen Aug 2026

Experimental Investigation Of Thermal States In Polymer–Ceramic Multi-Material Additive Manufacturing, Jagadeesh Reddy Kanuboddu, Amy Peterson, Alireza Amirkhizi, Christopher J. Hansen

MMRL-XMO Industrial Seminar

Polymer–ceramic multi-material additive manufacturing (MMAM) offers opportunities to combine the complementary properties of polymers and ceramics within a single structure. However, integration of these materials remains challenging because ceramic processing temperatures greatly exceed those tolerated by most polymers, creating the risk of melting or thermal degradation during adjacent ceramic processing. This challenge is particularly important when laser-based ceramic processing is performed in proximity to polymer additive manufacturing processes, including applications involving ceramic powder bed fusion. Understanding transient heat transfer from laser-heated ceramic regions to neighbouring polymer structures is therefore important for the development of practical polymer–ceramic MMAM approaches. Previous thermal …

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Thermal Analysis And Fabrication Of Polyelectrolyte-Ceramic Composites, Rajeswari Das, Amy M. Peterson, Christopher Hansen, Alireza Amirkhizi Aug 2026

Thermal Analysis And Fabrication Of Polyelectrolyte-Ceramic Composites, Rajeswari Das, Amy M. Peterson, Christopher Hansen, Alireza Amirkhizi

MMRL-XMO Industrial Seminar

Polyelectrolyte complexes (PECs) are a versatile class of macromolecular assemblies that are formed by mixing two oppositely charged polyelectrolyte solutions. Because of their tunable properties, PECs have attracted significant interest for applications in tissue engineering scaffolds, drug delivery systems and underwater adhesives. In this study, PECs were formed by combining a strong polycation (poly(diallyldimethylammonium chloride), PDADMAC) with a strong polyanion (poly(sodium 4-styrenesulfonate), PSS) and were further reinforced with alumina to produce composite materials. The effects of salt concentration and ceramic filler incorporation were investigated as the primary experimental variables. Alumina was chosen as the reinforcing phase because of its established …

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Photopolymerization-Based Additive Manufacturing Of Glass Microsphere-Filled Composites, Nzube Udegbunam, Amy Peterson, Christopher Hansen, Pauline Smith, Alireza Amirkhizi, Ian Mcaninch Aug 2026

Photopolymerization-Based Additive Manufacturing Of Glass Microsphere-Filled Composites, Nzube Udegbunam, Amy Peterson, Christopher Hansen, Pauline Smith, Alireza Amirkhizi, Ian Mcaninch

MMRL-XMO Industrial Seminar

Composite systems offer significant advantages in tailoring mechanical properties across a component; however, the influence of additive manufacturing techniques on the microstructure, cure behavior, and performance of such materials remains insufficiently understood, particularly for photocurable polymer composites. This study investigates the fabrication and characterization of polymer composites reinforced with glass microspheres using two additive manufacturing techniques, specifically UV-assisted Direct Ink Writing (DIW) and Digital Light Processing (DLP). Interestingly, we observe large differences in tensile properties between DLP specimens fabricated using different printers, indicating that individual printer design is an important consideration. We also demonstrate that the same polymer feedstock can …

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Convergent Manufacturing Of Smart Metallic Structures, Jinhan Ren, Shinan Huang, Sazedur Rahman, Fotis Kopsaftopoulos, Johnson Samuel, Semih Akin Aug 2026

Convergent Manufacturing Of Smart Metallic Structures, Jinhan Ren, Shinan Huang, Sazedur Rahman, Fotis Kopsaftopoulos, Johnson Samuel, Semih Akin

MMRL-XMO Industrial Seminar

Smart Metallic Structures (SMS) featuring embedded sensing capabilities have gained significant attention for mission-critical applications. Despite the growing importance of this emerging field, achieving reliable and efficient fabrication of SMS remains a challenge. This study presents a convergent manufacturing pathway for producing smart structures with integrated sensing capabilities. By leveraging Wire-Arc Additive Manufacturing (WAAM) as the primary additive process and combining it with complementary subtractive machining, sensor embedding, and metallization techniques, the developed approach enables the fabrication of multifunctional metallic components tailored for advanced structural monitoring SHM). To demonstrate this concept, a structural beam made of Al-5356 was designed to …

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Active Cooling Of Polymer-Ceramic Interfaces In Multi-Material Additive Manufacturing, Olorunfemi J. Esan, Christopher Hansen, Alireza Amirkhizi, Ian M. Mcaninch, Stephen R. Cluff, Pauline M. Smith, Amy Peterson Aug 2026

Active Cooling Of Polymer-Ceramic Interfaces In Multi-Material Additive Manufacturing, Olorunfemi J. Esan, Christopher Hansen, Alireza Amirkhizi, Ian M. Mcaninch, Stephen R. Cluff, Pauline M. Smith, Amy Peterson

MMRL-XMO Industrial Seminar

Multi-material additive manufacturing (MMAM) enables the fabrication of components with tailored properties and functionalities. However, integrating dissimilar materials such as polymers and ceramics remains challenging due to their widely differing processing temperatures. In this work, we modeled the integrated processing of polymer-ceramic systems and investigated active cooling strategies to preserve the polymeric component. The modeled MMAM approach consists of laser fusion (not necessarily powder bed) of both the polymer and the ceramic. A physical gap was designed between the two materials, and nitrogen gas flow at pressures ranging from 0.5 to 2 psi was introduced into the gap. The results …

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Robust And Accurate Pose Estimation For In-Space Robotic Manufacturing Under Challenging Lighting Conditions, Abhay Negi, Rudranarayan Mukherjee, Satyandra K. Gupta Aug 2026

Robust And Accurate Pose Estimation For In-Space Robotic Manufacturing Under Challenging Lighting Conditions, Abhay Negi, Rudranarayan Mukherjee, Satyandra K. Gupta

MMRL-XMO Industrial Seminar

Visual 6D object pose estimation is a critical capability in modern robotics and computer vision. This is most commonly achieved by exploiting an object's identifiable features and known geometry. While classical computer vision algorithms  perform reliably under controlled conditions, they are sensitive to common real-world degradations such as occlusion and adverse illumination. This paper presents a framework for robust and accurate pose estimation that combines deep learning and classical algorithms. Our approach features a U-Net-based segmentation model and a MobileNetV3-based keypoint regression network, both trained entirely on synthetic data with extensive domain randomization. An iterative PnP refinement further enhances accuracy …

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Low-Cost Agile Tooling For Stamping Metallic And Composite Sheets Using A Hybrid 3d-Printed Composite Shell And A Core, Alireza Zarei, Koorosh Delavari, Mostafa Elnaggar, Madhura Athale, Taejoon Park, Farhang Pourboghrat, Srikanth Pilla Aug 2026

Low-Cost Agile Tooling For Stamping Metallic And Composite Sheets Using A Hybrid 3d-Printed Composite Shell And A Core, Alireza Zarei, Koorosh Delavari, Mostafa Elnaggar, Madhura Athale, Taejoon Park, Farhang Pourboghrat, Srikanth Pilla

MMRL-XMO Industrial Seminar

Conventional sheet metal and composite stamping depends on machined steel dies that are expensive and slow to produce, limiting their practicality for prototyping and low-volume manufacturing. This study presents a low-cost agile tooling (LCAT) strategy that integrates a 3D-printed polymer composite shell with a concrete core. Tool shells were fabricated using FDM method with polyamide 12 thermoplastic filament reinforced with 35 wt% chopped carbon fiber. The workflow included 3D printing, machining test coupons, mechanical characterization, constitutive model development, finite element simulation, and stamping trials. Results show that the new composite tool design offers better performance and lower cost than fully …

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How Do Mainstream Newspapers In Sweden And The United Kingdom Compare In Their Framing Of 2024-2025 Gang Violence As A “Security Threat” Linked To Migration?, Ria Vlachos Aug 2026

How Do Mainstream Newspapers In Sweden And The United Kingdom Compare In Their Framing Of 2024-2025 Gang Violence As A “Security Threat” Linked To Migration?, Ria Vlachos

Discovery Day - Daytona Beach

This project will look at how the media portrays the relationship between gang violence and migration during the 2024-2025 time period. Sweden will be the primary case study, and it will see how the domestic Swedish newspapers and the Uk outlets explain the “security threats” through their reporting. This topic is of significant social and scientific importance because the way the media portrays things can shape the publics attitudes and give justification to certain actions/policy changes. This project is feasible as its going to be a comparative paper of a sample of newspapers from both sides. I will explore the …

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Predicting Remaining Useful Life Using Multivariate Time-Series Data, Anayah Smith, Victoria Gaibor Aug 2026

Predicting Remaining Useful Life Using Multivariate Time-Series Data, Anayah Smith, Victoria Gaibor

Discovery Day - Daytona Beach

Accurate prediction of Remaining Useful Life (RUL) is critical for enabling predictive maintenance, improving system reliability, and reducing operational costs in degrading systems. This project addresses the problem of modeling and predicting RUL using multivariate time-series sensor data from the NASA CMAPSS turbofan engine dataset, with a focus on understanding how predictive performance changes across datasets of varying complexity. The objective is to develop a reproducible machine learning pipeline that captures degradation patterns and produces reliable time-to-failure predictions. The approach includes data preprocessing, exploratory data analysis, feature engineering, dimensionality reduction, and model evaluation. RUL values are computed and capped to …

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Myoelectric Transradial Prosthesis Motor Control With Temporal Convolutional Neural Network Signal Processing, Carolyn Ascha Richardson, Katherine Clark, Francis Genco, Hope Lea, Tobiah Rosser Aug 2026

Myoelectric Transradial Prosthesis Motor Control With Temporal Convolutional Neural Network Signal Processing, Carolyn Ascha Richardson, Katherine Clark, Francis Genco, Hope Lea, Tobiah Rosser

Discovery Day - Daytona Beach

Transradial (below-the-elbow) amputees account for more than half of all upper limb amputations. Myoelectric prosthetic arms, which use electromyography (EMG) sensors on the surface of the forearm to convert electrical signals from residual limb muscles and mimic hand movement, are popular options for these amputees. However, these prostheses are limited in residual muscle detection and movement accuracy. The objective of this project is to affordably manufacture an externally-powered transradial prosthesis prototype through EMG time-versus-voltage readings collected with six Delsys Trigno Avanti and eight Thalmic MYO EMG sensor channels placed along the extensor digitorum, extensor carpi radialis, extensor carpi ulnaris, flexor …

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Measuring Intensity Of Carrier Strike Group Anti-Air Warfare: 1945-2025, Gavin Perry Aug 2026

Measuring Intensity Of Carrier Strike Group Anti-Air Warfare: 1945-2025, Gavin Perry

Discovery Day - Daytona Beach

The Aircraft carrier and its associated strike group (CSG) have been the preeminent means of both projecting power and securing sea control since the 1940s. Despite this, there exists vulnerabilities associated with operating these groups. Following World War Two, a narrative emerged that in heavily contested (non-permissive) environments, CSGs would be unable to operate effectively. This line of thinking relegates the CSG to a weapon for low intensity conflicts, crisis response, and peacetime power projection. The relevance of this debate has increased in recent years with the bolstering of the Peoples Liberation Army Navy (PLAN) carrier forces. Misunderstanding the ability …

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Evaluation Of Orbit And Mission Design Parameters Considered In Real Space Missions, Enrique Alejandro Amaya Villegas Aug 2026

Evaluation Of Orbit And Mission Design Parameters Considered In Real Space Missions, Enrique Alejandro Amaya Villegas

Discovery Day - Daytona Beach

Orbit and mission design constitute a fundamental spacecraft subsystem, as the selected orbital regime and mission profile strongly influence power availability, communications geometry, propulsion requirements, and overall mission performance. This project investigates how key quantitative and qualitative parameters guide orbit and mission design decisions in real space missions, with particular emphasis on orbital altitude and inclination, ground coverage and revisit time, mission lifetime, launch vehicle performance constraints, and propulsion budgets. The primary objective is to develop a structured understanding of how high-level scientific or commercial objectives, together with cost, risk, and operational constraints, are translated into specific orbital architectures and …

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Broad Emission-Line Limits On Stellar Winds From Small-Aperture Dslr Spectroscopy, Benjamin Katz, David Cardona Aug 2026

Broad Emission-Line Limits On Stellar Winds From Small-Aperture Dslr Spectroscopy, Benjamin Katz, David Cardona

Discovery Day - Daytona Beach

Broad Emission-Line Limits on Stellar Winds from Small-Aperture DSLR Spectroscopy   Wolf-Rayet (WR) stars have very strong stellar winds, with speeds of thousands of km/s, usually measured using high-resolution spectroscopy on large telescopes. Here, we test how well those speeds can be recovered using small-aperture, low-resolution DSLR spectroscopy. We used an 8-inch Celestron 8SE with an SA-100 grating and a Nikon D750 DSLR, giving a dispersion of about 4.1 Å per pixel. A key limitation is the instrumental resolution of the system, with an FWHM of about 30 Å, which is not small compared to the emission line widths being measured. …

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Project Chimaera: Development Of A Tessellated Tetrahedral Truss Structure For Adaptive Multi-Regime Morphing Wing Technology, Evan Meyer, Eric Rodarte, Maximo Failla, Joshua Shuster, Jackson G. Schuler Aug 2026

Project Chimaera: Development Of A Tessellated Tetrahedral Truss Structure For Adaptive Multi-Regime Morphing Wing Technology, Evan Meyer, Eric Rodarte, Maximo Failla, Joshua Shuster, Jackson G. Schuler

Discovery Day - Daytona Beach

Project Chimaera: Physical Assembly of tessellated tetrahedral wing for Multi-Regime Flight. Modern Aircrafts lose aerodynamic efficiency because they are primarily made utilizing fixed wings which are designed for a single optimal flight condition. This forces an aircraft’s performance to become compromised across various speed maneuvers and flight regimes. Project Chimaera addresses this limitation through the development of a morphing wing capable of dynamically changing its geometry extensively during flight to allow an aircraft to travel between subsonic, supersonic, and hypersonic speeds. Whereas traditional wings rely on wing flaps and other flight controls; Project Chimaera addresses the limitation of flight controls …

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Fatigue And Circadian Disruption In Long-Haul Ferry Pilots: Human Factors Challenges And Mitigation Strategies, Parneet Makkar Aug 2026

Fatigue And Circadian Disruption In Long-Haul Ferry Pilots: Human Factors Challenges And Mitigation Strategies, Parneet Makkar

Discovery Day - Daytona Beach

Fatigue and circadian rhythm disruption present significant human factors challenges in long-haul aviation operations, particularly for ferry pilots (pilots responsible for transporting aircraft long distances between locations) who often travel across multiple time zones before beginning flight duties. Circadian rhythms regulate the human sleep-wake cycle and are closely tied to cognitive performance, alertness, and coordination. Rapid travel across time zones can disrupt these rhythms, producing symptoms commonly associated with jet lag such as sleep disturbances, fatigue, and reduced cognitive functioning. For ferry pilots, long travel periods and irregular schedules may increase the likelihood of fatigue before flight operations even begin. …

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From Code To Cube: Interactive Fluid Simulation With Real Time Motion Control, Dominic Ziccardi, Carter Groezinger Aug 2026

From Code To Cube: Interactive Fluid Simulation With Real Time Motion Control, Dominic Ziccardi, Carter Groezinger

Discovery Day - Daytona Beach

This research project explores the use of FluidX3D, an open-source lattice Boltzmann method (LBM) solver, to simulate fluid behavior within a three-dimensional cube container. The system supports both standard water models and rheoscopic fluid visualization, allowing detailed observation of complex flow dynamics in real time. The simulation accurately represents fluid motion, gravity-driven behavior, and rotational response within a bounded cubic domain. The longterm objective is to extend this digital simulation into a physical installation consisting of six synchronized square displays arranged to form a cube. This configuration will create a volumetric illusion of fluid occupying a tangible, handheld structure. An …

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Predicting Passenger Demand On National Flights Departing From Hartsfield-Jackson Atlanta International Airport (Atl) In 2024, Brooklyn Gossett, Ana Yu Wen Aug 2026

Predicting Passenger Demand On National Flights Departing From Hartsfield-Jackson Atlanta International Airport (Atl) In 2024, Brooklyn Gossett, Ana Yu Wen

Discovery Day - Daytona Beach

The aviation industry relies heavily on accurate demand forecasting to guide critical decisions regarding route planning, capacity management, and pricing strategy. Misjudging passenger demand can result in significant revenue loss and operational inefficiency, making it essential for airlines and analysts to identify the key drivers of flight patronage. This study investigates the factors that most significantly predict the number of passengers on domestic flights departing from Hartsfield-Jackson Atlanta International Airport (ATL) during the 2024 calendar year. Using passenger and route data sourced from the Bureau of Transportation Statistics (BTS) and the U.S. Department of Transportation (DOT), a multiple regression analysis …

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Applications Of A Swarm-Behavior Model On Existing Satellite Constellations, Naomi Lee Aug 2026

Applications Of A Swarm-Behavior Model On Existing Satellite Constellations, Naomi Lee

Discovery Day - Daytona Beach

The scope of this work explores biological swarm behavior and its application to low- and medium-sized Earth orbit satellite constellation systems. Existing constellation structures have predetermined orbits, meaning there is little adaptivity in the spacing and interactions between satellites. This allows for formation disruption by atmospheric perturbations in lower Earth orbit trajectories but can be countered with interactive controls that help with structure stability. This adaptive spacing and control can also be applied in MEO constellations in coverage and positioning optimization. In ‘mimicking’ this swarm behavior in starling murmurations, the separation, alignment, and cohesion flocking behavior of satellite groupings will …

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Isolation Of Lavender Compounds Via Steam Distillation, Emma Norris, Gwendolyn Flippin Aug 2026

Isolation Of Lavender Compounds Via Steam Distillation, Emma Norris, Gwendolyn Flippin

Discovery Day - Daytona Beach

Steam distillation was used to extract (R)- Linalool, Linalyl acetate, and Camphor from lavender during the steam distillation experiment. The compounds were extracted via a steam distillation apparatus. A 250 mL two-neck round-bottom flask, a thermometer adapter, 25 mL a thermometer, a condenser, a distillation head, a vacuum adapter, lab jacks, and clamps made up the apparatus. Then the lavender was massed out and added to a beaker with 100 mL of water. Over time, the distillate is collected in a vial to be analyzed. (R)- Linalool is a nonaromatic alcohol containing two alkenes with the chemical formula C_10 H_18 …

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Microgravity Operations: Passive Capture Tool Dock Development, Tyler Mastroianni, Alexander Choinski, David Smith, Matthew Perkins, Kelsey Hunsicker, Jeanelle Ferdinand Aug 2026

Microgravity Operations: Passive Capture Tool Dock Development, Tyler Mastroianni, Alexander Choinski, David Smith, Matthew Perkins, Kelsey Hunsicker, Jeanelle Ferdinand

Discovery Day - Daytona Beach

The 2026 NASA Micro-g NExT Challenge 2 requests a device that simplifies the stowage of tools during EVAs. EVAs are crucial during missions, but their effectiveness is hindered because of challenging tool management. Our device, Latch Point, is designed to streamline tool stowage, allowing astronauts to secure tools more efficiently and with less physical strain. This will reduce the duration of EVAs, improving mission productivity. This is important because EVAs are expensive due to the complexity of the suits and the training and preparation required of astronauts before they can undergo these types of missions. This new device would reduce …

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The Motion Of A Falling Object Under Linear Drag And How Differential Equations Can Be Used To Find It, Lukas Estrella Aug 2026

The Motion Of A Falling Object Under Linear Drag And How Differential Equations Can Be Used To Find It, Lukas Estrella

Discovery Day - Daytona Beach

This project, "The Motion of a Falling Object Under Linear Drag and How Differential Equations Can Be Used To Find It," investigates the motion of a falling object subject to air resistance through a combination of mathematical modeling and fundamental physical principles. The analysis is grounded in Newton’s second law, which yields a differential equation describing the forces acting on the object. Assuming a linear drag model, in which the resistive force is proportional to velocity, the governing equation reduces to a first-order ordinary differential equation for velocity. This equation is solved using the integrating factor method, yielding an explicit …

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Drug Seizures, Entry Points, And Social Vulnerability In The Us, Taryn Eddy Aug 2026

Drug Seizures, Entry Points, And Social Vulnerability In The Us, Taryn Eddy

Discovery Day - Daytona Beach

Drug trafficking into the United States remains a significant homeland security challenge, shaped by transportation infrastructure, border dynamics, and community vulnerability. This study conducts a spatial analysis of U.S. Customs and Border Protection (CBP) drug seizure activity in relation to major transportation entry points and county-level social vulnerability. Using ArcGIS Pro, drug seizure data are mapped by CBP Field Office and overlaid with key infrastructure layers, including land ports of entry, international airports, seaports, and interstate highway corridors. County-level Social Vulnerability Index (SVI) data from the CDC/ATSDR are incorporated to assess whether areas experiencing high seizure activity are also characterized …

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Trim Characteristics And Its Importance, Daviel Peralta Aug 2026

Trim Characteristics And Its Importance, Daviel Peralta

Discovery Day - Daytona Beach

This project will go into the characteristics that lead to the concept of “Trim adjustment” in aircraft by modeling and demonstrating physical principles and mathematical concepts under ideal conditions. We will derive an equation from the basic physical principles of torque and lift to demonstrate how the trim is adjusted in steady, constant velocity flow for the sake of the pilot’s ease of control and to induce stability in flight. These adjustments are considered differently with different types of aircraft; as such, we will be focusing on mono-fixed-winged aircraft with one engine and conventional helicopter designs. Both flying devices will …

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Project G.L.E.N., Alexis Peshehonoff, Makaylei Huggins, Bernard Muich, William John, Nicholas Fazzolari, Kai Hong, Nicholas Krasznavolgyi, Caitlyn A. Gabrinowitz, Grace Forbes, Harris Meyer, Jakob Graudons, Georgii Dubrov, Aditya Bhattacharya, Augustine Balish, Zachary Ort, Stephen Syvertson, Sajid Berhane Aug 2026

Project G.L.E.N., Alexis Peshehonoff, Makaylei Huggins, Bernard Muich, William John, Nicholas Fazzolari, Kai Hong, Nicholas Krasznavolgyi, Caitlyn A. Gabrinowitz, Grace Forbes, Harris Meyer, Jakob Graudons, Georgii Dubrov, Aditya Bhattacharya, Augustine Balish, Zachary Ort, Stephen Syvertson, Sajid Berhane

Discovery Day - Daytona Beach

Project G.L.E.N., formally known as “Refining Enhanced Fujita Wind Estimates via Unmanned Collection of In-Situ Tornadic Data Measurements,” is an ongoing initiative aimed at advancing tornado research through the development and deployment of an unmanned tornado probe. Through the Gale Level Environmental Navigator (G.L.E.N.) probe, a remote-controlled unit equipped with specialized meteorological sensors and innovative design features, we aim to collect real-time, onsite data from within tornadoes. This approach allows for direct measurement of internal atmospheric conditions such as wind speeds, pressure fluctuations, temperature, humidity, and other storm dynamics while removing human risk from tornado interception, significantly enhancing the safety …

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Mri-Based Estimation Of The Hip Joint Center In Infants Using Two Sphere-Fitting Methods, Victoria Melendez Aug 2026

Mri-Based Estimation Of The Hip Joint Center In Infants Using Two Sphere-Fitting Methods, Victoria Melendez

Discovery Day - Daytona Beach

Accurate estimation of the hip joint center (HJC) is critical for biomechanical modeling and clinical assessment. Common methods include predictive methods (e.g., regression equations) and functional methods such as sphere-fitting. In infants, femoral head-based methods are often limited due to incomplete ossification of the anatomy and poor visualization in computed tomography (CT) images. This study evaluates an alternative approach using MRI-based sphere fitting of the ossified acetabular rim, comparing its accuracy to traditional femoral head-based methods. MRI scans of three male infants (ages 10.7- 12.7 months) were used to manually place landmarks on the ossified acetabulum and the cartilaginous boundary …

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Navigating Enhanced Exploration Assistance (Nexa), Azhari Abbas, Caleb Fakunle, Ryan Powell, Donovan Livingston Aug 2026

Navigating Enhanced Exploration Assistance (Nexa), Azhari Abbas, Caleb Fakunle, Ryan Powell, Donovan Livingston

Discovery Day - Daytona Beach

NEXA is an artificial intelligence software platform developed to enhance residential security and property monitoring through seamless integration with autonomous drone systems. This research application of advanced AI in surveillance aims to create a standalone solution capable of real-time threat detection and intelligent alert management. By processing visual and sensory data, NEXA facilitates autonomous drone operation with minimal human intervention. Secure communication channels ensure that instant alerts are delivered to property owners and, potentially, law enforcement, improving response times in security incidents, search-and-rescue operations, and perimeter surveillance. Additionally, NEXA is capable of interfacing with commercially available drone platforms and presents …

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Apical-Out Lung Organoids: A Platform For Spaceflight And Cf Research, Valeria Jimenez, Ally Schwennesen Aug 2026

Apical-Out Lung Organoids: A Platform For Spaceflight And Cf Research, Valeria Jimenez, Ally Schwennesen

Discovery Day - Daytona Beach

A genetic condition known as cystic fibrosis (CF) is brought on by mutations in the CFTR gene, which results in chronic lung inflammation and impaired chloride ion transport. CF bronchial epithelial cells enable direct comparison of disease pathology, while normal human bronchial epithelial (NHBE) cells offer an essential model for researching airway physiology. Realistic modeling of respiratory tissue and its reaction to environmental stressors like microgravity is made possible by the creation of 3D lung organoids from these cells. In this project, we developed apical-out organoids, which expose the apical surface of epithelial cells to the external environment. These organoids …

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Turbine Aerodynamics And Performance Characterization, Anuranan Bharadwaj, Kalkamanali Satvaldy, Vincent Shi Aug 2026

Turbine Aerodynamics And Performance Characterization, Anuranan Bharadwaj, Kalkamanali Satvaldy, Vincent Shi

Discovery Day - Daytona Beach

This research presents an integrated study combining computational modeling and experimental validation to enhance the design and performance characterization of small-scale turbine systems. The theoretical component focuses on developing an object-oriented Python code for the preliminary design and performance prediction of radial turbines, capable of generating velocity triangles, thermodynamic properties, and geometric parameters from user-defined inputs. The tool employs Whitfield-based correlations and fundamental gas-dynamic relations to estimate exit flow parameters, work ratio, and efficiency, offering flexibility for expansion into geometry export and CAD integration.   Complementing the computational model, the experimental component aims to improve the aerodynamic testing capabilities of the …

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An Evaluation Of Machine Learning Models' Efficacy In Determining Uav Spoofing Attacks, Nicolas Machado, Jaxon Selzer Aug 2026

An Evaluation Of Machine Learning Models' Efficacy In Determining Uav Spoofing Attacks, Nicolas Machado, Jaxon Selzer

Discovery Day - Daytona Beach

An Evaluation of Machine Learning Models' Efficacy in Determining UAV Spoofing Attacks - The rapid integration of Unmanned Aerial Vehicles (UAVs) into urban airspace has introduced significant cybersecurity concerns, particularly due to vulnerabilities in Automatic Dependent Surveillance–Broadcast (ADS-B), which lacks authentication and encryption. This project addresses the problem of detecting spoofing and data manipulation attacks that can compromise UAV safety and mission reliability. The objective of this work is to evaluate the effectiveness of machine learning–based anomaly detection, specifically Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks, as protocol-agnostic solutions for identifying anomalous UAV behavior. To achieve this, …

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