Digital Commons Network^™

Software Engineering In The Age Of Coding Agents: Failure Modes And Rejection Patterns, Mahd Mohd Taysir Hindi

Thesis/ Dissertation Defenses

This thesis investigates the real-world behavior of LLM-driven coding agents that generate code changes and submit pull requests (PRs) to public software repositories. As these tools evolve from autocomplete-style assistants into more autonomous agents, their contributions increasingly interact with socio-technical review processes (human reviewers, bots, CI/CD gates, and project norms). This thesis focuses on understanding why agent-generated PRs are accepted or rejected and what these outcomes reveal about current agent limitations in practical development workflows. The main objective of this thesis is to systematically characterize rejection patterns and failure modes of agent-generated pull requests in real repositories. Specifically, the thesis …

Seeing Every Angle: How Mobile County Uses Aerial Imagery To Modernize Property Assessment, Lucas Furman, Kit Cecil Acm, Melissa Limoges Aas, Res, Acar

GIS Technology Conference 2026

Property assessors are increasingly turning to aerial imagery and data solutions to enhance accuracy, transparency, and efficiency in valuation. In this session, Mobile County, Alabama, shares how integrating high-resolution oblique imagery directly into their CAMA system has transformed their appraisal workflow. Attendees will see how assessors conduct remote property reviews aligned with IAAO Standard 3.3.5, using current and historical imagery to verify changes, support equitable valuations, and reduce field visits. The presentation will demonstrate practical examples of how imagery integration saves time and resources while maintaining public confidence in fair and consistent assessments. Learn how Mobile County leveraged this technology …

Recombinant Gelonin: Purification And Functional Validation For Electroporation-Assisted Delivery, Eleni Zivla, Giedrė Šilkūnienė, Andrei G. Pakhomov, Mantas Šilkūnas, Olga N. Pakhomova

Knowledge and Creativity Expo

Type I ribosome-inactivating proteins, such as gelonin, are enzymatically potent toxins but are effectively non-toxic under physiological conditions because they are unable to cross the plasma membrane[1]. Pulsed electric fields (PEF) overcome this delivery barrier by transiently permeabilizing the plasma membrane, allowing direct cytosolic entry. This enhances gelonin cytotoxicity by several thousand-fold, highlighting gelonin’s potential as an electrochemotherapy candidate[2]. Here, we present a recombinant gelonin (rGel) expression platform in E. coli with HPLC-based purification that enables reproducible protein production and structure-guided engineering.

The mature gelonin sequence (residues 47–297) was cloned into pET-32a(+) with an N-terminally fused Trx-6×His tag and TEV …

Artificial Intelligence, U.S.- China Trade Dyanamics, And Their Implications For African Economics: Assessing Opportunities, Risks And Policy Responses, Jelili Afolabi

Helms School of Government Spring Public Policy Conference

No abstract provided.

Proactive Disruption Of Adversarial Learning Via Systematic Feedback Loop Corruption, Google Case Managers Picozzi, Dishant Mathur

Defensive Publications Series

Modern fraud prevention is often limited by a reactive approach that inadvertently provides training data to adversaries, allowing them to refine tactics whenever a detection signal or account block occurs. To address this feedback loop, a framework is disclosed for the proactive disruption of fraudulent operations by systematically corrupting internal adversarial learning processes. The method involves mapping entry vectors, identifying behavioral heuristics used by operators, and injecting inconsistent success signals, such as decoy enthusiasm and variable response compliance, into the interaction flow. Additionally, operational workflows are desynchronized to increase coordination friction and propagate stress across the scam network. By rendering …

Api-Based Firmographic Enrichment For Real-Time Visitor Personalization On Third-Party Web Surfaces, Aaron Burton

Defensive Publications Series

A method for enriching anonymous visitors on third-party web surfaces by querying a third-party firmographic API directly, replacing headless browser retrieval and machine-learning classification. A network proxy resolves the visitor’s IP address to an origin domain, an enrichment process queries a firmographic data provider’s API with that domain, normalizes the structured response into a standard profile format, and delivers the profile to the visitor’s browser session for real-time personalization.

Telemedicine Kiosks: Can Technology Solve Rural Mississippi's Healthcare Crisis?, Babu George, Martha Ravola

Journal of Public Health in the Deep South

Background: Mississippi’s rural counties face hospital gaps, clinician shortages, and limited broadband/device access that collectively delay care and constrain telehealth uptake.

Purpose: This paper assesses whether telemedicine kiosks can improve rural healthcare access in Mississippi while also supporting viable local entrepreneurship and community development.

Methods: A conceptual, policy-and-market analysis integrated narrative literature synthesis, secondary data and policy review, and 5-year financial modeling under two cost-allocation scenarios: an Operator Model (subscription fees covered by partners/grants) and a Network Model (subscription fees borne by the kiosk operator).

Results: Kiosks with embedded connectivity and diagnostic peripherals can deliver device-independent virtual care and directly …

Empowering Educators With Generative Ai In Higher Education: Design Patterns For Visible Learning, Jeanne Charles

Essays in Education

A student submits a paper that reads smooth and confident. With generative AI, that polish no longer proves learning. Higher education now needs course designs that keep student thinking visible and assessable.

This literature review synthesizes 39 empirical studies (2024 through early 2026) on generative AI in higher education. It treats 22 learner-facing classroom studies as design cases and codes task type, permitted AI use, instructor guardrails, and measured outcomes. It uses the remaining studies to situate adoption, policy, and academic integrity risks.

Across the evidence, outcomes follow the design more than the tool. AI supports learning when it expands …

Therepairer_Vol29no7_July1924

The Repairer

No abstract provided.

Therepairer_Vol29no2_Feb1924

The Repairer

No abstract provided.

Coriolis Uncrewed Aircraft System Storm Operations And Implementation Into Hurricane Reconnaissance Missions, Lauren Baez

Student Research Symposium (SRS)

A hurricane’s intentions are unknown until you look it in the eye. Dragoon’s Coriolis Small Uncrewed Aircraft System (sUAS) has been engineered to collect atmospheric sounding data at low altitude regimes within these severe weather events. During 2025 operations, Coriolis has been classified as a mature prototype capable of operating more than 15 continuous hours and Beyond Visual Line of Sight (BVLOS). Launching from land, it travels under a Federal Aviation Administration (FAA) Certificate of Waiver that grants it immunity from 14 CFR § 107.31 and § 107.33. Upon reaching atmospheric disturbances prior to their landfall, the Coriolis gathers measurements …

Fusion Of Deep Learning And Stereo Depth Sensing For Real-Time Aerial Robotic Perception, Garrett Seyler

Student Research Symposium (SRS)

This project presents a vision-based perception pipeline developed in the Space Robotics and Generative Estimation (SRGE) Lab to enable real-time sensing and classification for terrestrial robotic platforms. The system integrates a YOLOv11 object detection model with an Intel RealSense D455 depth camera to identify and estimate the range of aerial objects from live image streams. Trained on a dataset of over 2500 images, the model outputs spatially correlated detection and depth information to provide both semantic and geometric awareness. The primary contribution of this work is the development of a modular, vision-only framework that fuses deep learning inference with stereo …

Forging Volksgemeinschaft: Industrial And Technological Imagery In Nazi Propaganda Posters, Aiden Martin

Student Research Symposium (SRS)

This paper answers a heretofore unasked question: What role do Nazi propaganda posters play in the broader ideological project of Volksgemeinschaft, particularly regarding the roles of industrial advancement as threatened by the anti-nation? Propaganda posters are used as a lens into how the regime depicted industrialization and technological advancement to support its racial and ideological goals. After the Nazi Party’s rise and consolidation of power, propaganda noticeably started to focus on themes of technological advancements; aviation, radio, and factories symbolizing modern technical advances appear in many posters, projecting Germany as an up-and-coming nation rising out of the Versailles era. This …

Heliophysics Enhanced Learning For Intelligent Orbits (Helio), Kylie Nager, Akash Joseph, James Kirk, Payton Miller

Student Research Symposium (SRS)

Satellite constellations in near-Earth orbit are increasingly vulnerable to solar flares, coronal mass ejections, and high-speed solar wind streams that disrupt communications, power systems, and orbital stability. Current mission architectures rely on delayed ground intervention and do not leverage predictive solar data for autonomous response. The HELIO project addresses this gap by developing an AI-driven resilience layer that converts real-time heliophysics forecasts into coordinated operational decisions for CubeSat swarms. HELIO integrates pretrained solar forecasting models such as NASA and IBM’s SURYA foundation model to predict active-region evolution, flare probability, and solar-wind velocity. A lightweight decision-intelligence framework interprets these forecasts and …

Silencing The Space Invaders: Disrupting Quorum Sensing To Halt Microbial Virulence In Space, Heather Mari Hall Alcala

Student Research Symposium (SRS)

Silencing the Space Invaders: Disrupting Quorum Sensing to Halt Microbial Virulence in Space Heather Mari Hall Alcala and Alba Chavez Department of Human factors and Neurobiology, College of Arts and Sciences, Embry-Riddle Aeronautical University. 1 Aerospace Blvd, Daytona Beach, 32114, FL, USA. Previous research has identified virulence properties in fungal isolates from the International Space Station (ISS) mycobiome, highlighting significant health risks to astronauts during long-term missions. Yeasts exposed to space conditions exhibit enhanced resilience to extreme environments, including microgravity and radiation, while showing increased expression of virulence-related phenotypes such as filamentation, biofilm formation, and community development. Microbial communication via …

Satellite Autonomous Launch Assembly (Satlass), Anthony Todisco, Justin Della, Essence Howard

Student Research Symposium (SRS)

The Satellite Autonomous Launch Assembly (SATLASS) is an undergraduate research project and one of the four pillars of the Embry-Riddle Orbital Research Association (ERORA). Composed of approximately ten undergraduate engineering students from Embry-Riddle Aeronautical University in Daytona Beach, FL. The team is dedicated to designing, developing, and creating one of the first CubeSat deployers with a cold gas propulsion system. In response to the growing concern over space debris and the continued development of CubeSat technology, SATLASS explores a forward-thinking solution for CubeSat technology integration and deployment. The project aims to create a deployer that can spend its entire operational …

A Citizen Science Approach To Understanding Human Driving Behavior Through Interactive Vehicle Control, Ethan Jones

Student Research Symposium (SRS)

In this ongoing work, we introduce a Citizen Science project that leverages a simple, web-based driving application to study human driving behavior in realistic yet accessible settings. In this interactive platform, participants from anywhere can remotely control a virtual vehicle with minimal instructions, such as maintaining a speed limit and choosing to drive in a polite or aggressive manner, while following a lead car that consistently adheres to traffic rules. This setup allows for large-scale, diverse data collection on how individuals interpret and express driving styles under constrained instructions. Using data-driven modeling techniques, including Dynamic Mode Decomposition (DMD), we analyze …

Autonomous Robotic Assembly Stations For Planetary Missions: A Simulation Driven Study With Lego Manipulation, Dheer Chhabria

Student Research Symposium (SRS)

Autonomous robotic assembly is critical for constructing infrastructure on lunar and Martian surfaces, where human intervention is limited by communication delays and extreme environments. This study presents a comprehensive simulation framework using physics based robotic arm simulations to validate dual arm robotic assembly with LEGO based modular blocks under simulated planetary conditions. The system integrates RGB-D perception, vision based object detection, 7-DOF arm control, and coordinated pick and place tasks to achieve autonomous stacking and assembly of the blocks. Preliminary results demonstrate robust block detection, collision free trajectories, and high grasp accuracy in reduced gravity. The methodology surveys state of …

Chromebook Cluster Project, Asher Zwickel, Jacob Burdge

Student Research Symposium (SRS)

This project started when the Strategic Studies and International Affairs (SSIA) department decided to recycle their unused Chromebooks. We decided to find creative uses for Chromebooks to help reduce E-Waste by turning them into a cost-effective computational network capable of supporting research into cyber intrusions by foreign malign actors. The research system leverages computational power of 17 Chromebook 14s and 10 Virtual Machines powered by a Dell Nuc. We named the virtual systems “Nucnode#” and the physical systems as “chromebook#” to process and evaluate large quantities of strategic-level data. By combining these Chromebooks in a sustainable, and technologically innovative way, …

Advanced Manufacturing And Materials Of A Biomimetic Hoof For Space Robotics Applications, Benjamin Heckel

Student Research Symposium (SRS)

Planetary surfaces often feature steep, uneven, and unpredictable terrain conditions that resemble some of the most challenging natural environments on Earth. In these terrestrial settings, certain animals have evolved to navigate complex landscapes with remarkable agility. One such example is the mountain goat, an animal whose hooves have evolved for stable and precise movement across rocky, inclined surfaces. This biological adaptation provides a useful model for improving robotic mobility in planetary exploration. This study draws inspiration from that natural adaptation to develop a bio-mimetic robotic hoof designed to enhance traction, durability, and adaptability for extraterrestrial exploration. By replicating the mechanical …

Systems Progress Overview Of Rosisat: The Radiation Orbital Shielding Investigation Satellite, Steven L. Insignares, Jacob L. Blanton, Cole Walker

Student Research Symposium (SRS)

The Radiation Orbital Shielding Investigation Satellite (ROSISat) is a 1U CubeSat project studying the effectiveness of various shielding materials against single-event upsets (SEUs) in computer memory modules in Earth orbit. Developed by the Embry-Riddle Orbital Research Association (ERORA), a student organization at Embry-Riddle Aeronautical University, ROSISat provides hands-on experience in CubeSat development. The mission will test various shielding materials—including aluminum, tungsten, Kevlar, polyethylene, and aerogel—against SEUs caused by high-energy solar particles and cosmic rays. EEPROM memory modules will be shielded by these materials in an aluminum grid, while onboard microcontrollers will monitor bitflips to assess shielding performance. Additionally, ROSISat will …

Openarm, Elijah Iwanoff, Killian Embler, Salvatore Pizzurro, Manuel Buenrostro Macedo

Student Research Symposium (SRS)

This undergraduate research project advances a low-cost, open-source manipulation system for a university-scale quadruped, extending the Embry-Riddle OpenMutt platform with a compact 3-R arm and modular end-effectors. Motivated by the high purchase price and limited extensibility of commercial quadrupeds, we target a reproducible, student-serviceable alternative that supports loco-manipulation research and hands-on learning in controls, kinematics, and mechatronics. Open quadruped efforts such as Stanford Doggo demonstrate that transparent, replicable designs can deliver serious research capability at student budgets [1]. Our arm leverages lightweight cycloidal gearing to achieve high torque density in a printable form factor suitable for rapid iteration and repair, …

Integrated Computational And Experimental Analysis Of Turbine Aerodynamics, Anuranan Bharadwaj

Student Research Symposium (SRS)

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 …

Hybrid Hierarchical Swarm Robots For Planetary Exploration, Eeman Abid

Student Research Symposium (SRS)

This project proposes a novel approach to planetary exploration utilizing a hybrid hierarchical swarm robotic system inspired by social insect colonies. The project will develop a centralized 'queen' robot that provides high-level direction to a team of semi-autonomous 'worker' robots, each capable of making local decisions while following the queen's strategic guidance. This structure aims to enhance adaptability and efficiency by balancing centralized coordination with decentralized execution. The approach aligns with NASA's CADRE mission, which uses coordinated rovers to map the lunar surface. By combining simulation in ROS2/Gazebo with physical testing on lunar regolith simulant, this research will evaluate how …

Adaptive Lunar Landing Legs: Minimal Se(3) Modeling And Evidence Of Robustness On Slopes, Rithika Nagarajan

Student Research Symposium (SRS)

Small lunar payloads must land safely on sloped, uncertain terrain but often cannot afford the mass and complexity of fully active landing gear; conversely, rigid passive legs offer limited stability margin. We evaluate a low-complexity alternative: passive–adaptive legs that retain a passive spring–damper architecture while scheduling per-leg stiffness and damping from only the local slope and vertical touchdown speed. A minimal SE(3) MATLAB simulator models a four-leg lander on plane terrain (0–30◦ about +y) with lunar gravity (1.62 m s−2), viscous tangential friction capped by a Coulomb limit (𝜇 = 0.6), and ode45 integration (time step ≈ 2 ms, horizon …

Low Temperature Plasma Simulation Using The Lattice Boltzmann Method, Shepard Summers, Christopher Anderson

Student Research Symposium (SRS)

Pulsed Low-Temperature Plasma (LTP) has become a subject of interest in various fields, including propulsion, material processing, and medical technology. LTP flows are challenging to accurately simulate due to their physical complexities and multiscale nature, spanning scales ranging from meters on the system level to nanoscale when investigating the interactions between ions and electrons. The conventional models for simulating LTP flow are not able to handle this wide range of scales in a computationally efficient manner. The Boltzmann method, which is rooted in kinetic theory rather than Newtonian, can efficiently tackle the multiscale properties of LTP flow by directly solving …

Sustainable Environmental Autonomous Litter-Cleaner Phase I (Seal), Andy Garcia, Nicholas Dolton, Salvatore Pizzurro, Mario Gutierrez, Christian Mackay, Braden Amoruso, Chirag Kumar, Jarrett Usui, Lingyuan Meng

Student Research Symposium (SRS)

Harmful waste is prevalent all over the world, especially in publicly accessible tourist locations such as here in Daytona Beach. Sustainable Environment Autonomous Litter-Remover (SEAL) is intended to be a fully autonomous, all-terrain waste-sifting robot. SEAL’s main goal is to locate, navigate to, and remove harmful waste within GPS-inaccurate environments, and the environment we’ll be operating in will be sandy beaches near the coast. Using this environment for operation comes with the prominent challenge of localization, as there is a lack of significant features within the area and the area’s locale; therefore, localization tends to be extremely challenging as the …

Synthesis Of Biodegradable Nanofibers For The Increase Of Biosensor Sensitivity, Rahela A. Dolha

Student Research Symposium (SRS)

The development and use of point-of-care (POC) biosensors is more widespread than ever. Their popularity provides opportunity for portable and cost-effective medical testing anywhere at any time. Results are rapid and continuous while maintaining a user-friendly interface. Unfortunately, their small size decreases sensor amplification and sensitivity/limit of detection, resulting in inaccurate measurements. In order to increase sensor sensitivity and amplification, this study optimizes the synthesis of an electrosprayed nanofiber matrix whose high surface area increases an inflammation sensor’s sensitivity and signal amplification. The nanofiber will be made of biodegradable materials such as chitosan and nanocellulose, and will contain PVA which …

An Investigation Of The Magneto-Active Propellant Slosh Control Mechanism For Cylindrical Tanks Using An Adaptive Magnetorheological Fluid Interface, Shaik Rayhan Anwar

Student Research Symposium (SRS)

Fluid slosh is the natural phenomenon describing fluids in a partially filled tank being acted upon by external forces which cause transient movement within the confined container. Propellant slosh has been a problem with spacecraft, restricting complete control of its stability, trajectory, and vehicle safety due to undesirable dynamic alterations. The Microgravity Lab at Embry-Riddle Aeronautical University (ERAU) has been working on solving this for 15+ years, opposing traditional passive approaches to opt for more active methods. This research focuses to further build upon the legacy project’s Magneto-Active Propellant Management Device (MAPMD) by reducing non-trivial mass penalties, removing computational structural …

Yarkovsky Effect For Particles In Circumlunar Space, Rohith Vinnakota, Le Na Hoang

Student Research Symposium (SRS)

The concept of Kessler Syndrome concerns the eventuality that increasing amounts of “space junk” in orbit around Earth will inhibit our ability to safely launch spacecraft from the surface of the planet into orbit and/or deep space. While countermeasures are slowly being taken for Earth, this is still an issue that persists for other celestial bodies. One solution that shows promise for solving this problem is utilization of the Yarkovsky Effect, which theorizes that objects in orbit are perturbated by photons as a result of illumination from sunlight. Our goal in this study is to review the feasibility of applying …