Engineering Commons^™

Lunar Regolith Sintered Brick Apparatus, Andrew Fasano, Noah Parayil, Darius Felix Karra

Senior Design Project For Engineers

This project describes the preliminary design and analysis of the Semi-Autonomous Lunar Regolith Sintered Brick Apparatus that will assist in developing permanent infrastructure on the Moon. An issue with permanent lunar operations is the transportation of materials to the Moon. To address this, the designed device uses lunar regolith as the source material for producing bricks. This design considers the constraints set for operation with the Griffin lunar lander: maximum payload mass of 200 kg, power consumption below 5 kW, and limited payload dimensions. The design uses a combination of a laser sintering motion system, a regolith layering subsystem, a …

Stabilized Cargo Relay Aircraft For Precision Payload Yielding, Dato A. Tabidze, Michael Conely, Ben Courtney

Senior Design Project For Engineers

As military missions become more complicated, warfighters need more capable drones to use across diverse scenarios. The same also applies to civilian applications, like infrastructure inspection, package delivery, and disaster response. Current multirotor drones, also known as unmanned aircraft systems (UAS), provide simplicity, affordability, and ease of operation; however, their primary limitation is their low payload-to-weight ratio, which typically falls at 1:1 or less. The DARPA Lift Challenge aims to shatter the heavy lift bottleneck, seeking novel drone designs that can carry payloads more than four times their weight, which would revolutionize the way we use drones across all sectors. …

Quantitative Assessment Of Cybersecurity Risk Variability Across Transportation Modes, Paulo Carreon

Doctoral Dissertations and Master's Theses

Transportation systems are increasingly dependent on digital technologies, networked communications, and cyber-physical integration, making cybersecurity an important issue for operational continuity, resilience, and safety. Although cybersecurity risks in transportation are widely recognized, much of the existing research remains mode-specific and lacks a standardized quantitative framework for comparing risk across transportation systems. This study develops a quantitative, incident-based approach for assessing cybersecurity risk variability across four major transportation modes: Aviation, Maritime, Rail, and Road. The study is based on a manually constructed dataset of 189 publicly reported transportation cybersecurity incidents collected from 2000 to 2025. Each incident was coded into structured …

Structural Design And Analysis Of The Civil Engineering Capstone Project, William R. Webster

Honors Theses

The structural elements of a office building designed for the University of Mississippi civil engineering senior design project were designed and analyzed. The proposed building is a shared office building located on an empty parcel on Oxford Commons Boulevard. Using the 2018 International Building Code (IBC), the structural loads were determined to be the following: 20 psf roof live load, 20 psf dead load, 20 psf snow load, and 15.6 psf rain load. These loads yielded a factored LRFD design load of 56 pdf. Using these loads and manuals provided by Nucor Vulcraft, the roof deck was determined to be …

Optimization And Dynamic Control Of Acetone Production From Isopropyl Alcohol, Thomas W. Wasson

Honors Theses

This paper investigates the optimization and dynamic control of acetone production via catalytic dehydrogenation of isopropyl alcohol. Optimization was conducted using steady-state Aspen Plus modeling with product specifications of 30,000 metric tons per year of 99.9% pure acetone by weight. Dynamic modeling of the feed preparation and reaction portions of the process was conducted in Aspen Plus Dynamic. Through optimization efforts the primary economic factor, net present value (NPV), was increased from $(126.6) million to $(83.2) million, representing a $43.4 million increase. This was primarily accomplished through a switch to low temperature catalyst, optimization of reactor dimensions, pressurization of key …

Cloud-Deployed Rna-Seq Analytics For Identifying Imaging And Therapeutic Targets In Chemotherapy-Induced Toxicities, Zhimu Wang

McKelvey School of Engineering Graduate Student Theses & Dissertations

Chemotherapy has significantly improved cancer survival rates; however, many anticancer agents induce severe acute and chronic side effects that substantially reduce patient quality of life and limit therapeutic efficacy. Despite their clinical importance, the molecular mechanisms underlying chemotherapy-induced toxicities across different organs remain incompletely understood, in part due to the lack of integrated, scalable, and accessible analytical platforms capable of synthesizing large transcriptomic datasets across tissues and experimental models.

This thesis describes the development of a cloud-deployed RNA-seq analytics platform designed to identify candidate imaging biomarkers and therapeutic targets associated with chemotherapy induced toxicities. The platform integrates large-scale transcriptomic datasets …

A Solution For Safe Pivot Transfers In A Population With Limited Mobility, Elizabeth A. Mitchell, Sean R. Giamportone

Honors Theses

Sit-to-stand pivot transfers are one of the most frequently performed movements for

individuals with limited mobility. This movement is very often performed in long-term care

facilities and clinics. Despite the commonality, this transfer poses a significant risk of injury to

both the patient and caregiver; falls, musculoskeletal injuries, and the reduction of independence

can result from issues associated with these transfers. Existing assistive devices, Hoyer lifts and

sliding boards, present limitations with cost, size, storage, and usability; thus, caregivers rely on

the hands-on manual transfer that increases the risk of injury. The goal of our team was to

address these …

Toward Vehicle-Agnostic Driving Signatures For Cognitive Impairment Prediction From Naturalistic Driving Data, Aadarsha Gopala Reddy

McKelvey School of Engineering Graduate Student Theses & Dissertations

This thesis studies whether naturalistic driving data can help predict binary Clinical Dementia Rating (CDR) status while accounting for differences across vehicles. The final analytic dataset comprised 26,968 participant-weeks from 304 participants. Weekly driving features were derived from real-world telematics data and combined with four demographic covariates. Primary model comparisons used leave-one-participant-out (LOGO) cross-validation, with one individual held out at a time and pooled participant-level metrics used as the main reporting surface.

The main comparison includes six model families evaluated on the same dataset under a shared LOGO framework. Performance remained modest overall. GRU-DANN had the highest participant-level ROC AUC …

Largest 2-Regular Subgraphs In Complete S-Partite Graphs, Yiyang Jiang

McKelvey School of Engineering Graduate Student Theses & Dissertations

In this thesis, we focus on the class of complete $S$-partite graphs, for $S$ an undirected graph possibly with self-loops, and address the problem of finding largest $2$-regular subgraphs of these graphs, which can be formulated as an integer linear program. Roughly speaking, a complete $S$-partite graph is obtained by replacing every single node of $S$ with a number of nodes, preserving the edge/non-edge relations of $S$. Our motivation in studying largest $2$-regular subgraphs is rooted in the structural systems theory, particularly in the problem of finding largest subnetworks that can sustain controllability or asymptotic stability of the corresponding subsystems. …

Interaction-Aware Safe Planning For Human-Robot And Multi-Robot Systems, Haoyi Wang

McKelvey School of Engineering Graduate Student Theses & Dissertations

Robots operating in shared environments must interact safely not only with static obstacles but also with other decision-making agents, including humans and other robots. In such settings, both safety and task completion depend on the ability to reason about interaction. Two major challenges arise. In human-robot interaction, future human behavior depends on latent internal factors, such as attentiveness and behavioral style, that are not directly observable to the robot. In multi-robot systems, decentralized reactive navigation can fail in cluttered environments when reciprocal interactions create deadlocks that prevent progress through narrow passages or bottlenecks. This thesis investigates these two challenges from …

Temperature And Environmental Implications On Ti3c2cl2 Mxene Degradation Process, Yang Yang

McKelvey School of Engineering Graduate Student Theses & Dissertations

MXenes, a rapidly emerging class of two-dimensional transition metal carbides and nitrides, have attracted considerable attention owing to their exceptional electrical, mechanical, and chemical properties. However, the inherent thinness of their atomic structure and the reactivity of their functional groups render MXenes susceptible to environmental degradation, whereby the lattice integrity is compromised and desirable material functionalities are dimin- ished. In this work, ex situ electron microscopy characterisation is performed on Ti₃C₂Cl₂ MXene specimens subjected to controlled gas environments — nitrogen gas (N₂) and air — at annealing temperatures of 200°C and 600°C, with …

Hybird Vtol Gust Load Alleviation Uav, Ryan Birch, Mouhamadou Diop, Sebastian J. Flores, Alan Alan Rubio-Saavedra

Senior Design Project For Engineers

Here's a 250-word abstract:

Abstract

This paper presents the conceptual and preliminary design of a sub-500g hybrid vertical takeoff and landing (VTOL) fixed-wing unmanned aerial vehicle (UAV) equipped with an active gust load alleviation (GLA) system. The aircraft combines passive twist wingtip (PTWT) devices with an inertial measurement unit (IMU)-based adaptive feedforward control architecture to reduce peak wing-root bending moments by 30–40% relative to an unmitigated baseline configuration.

The propulsion system employs a twin tilt-rotor plus rear pusher arrangement within an 80g mass budget, enabling clean sensor inflow while supporting both hover and efficient cruise flight at 12–13 m/s. Electronic …

A Remote Sensing Approach To Identifying Zones Of Instability In Mine Tailings Impoundments Using Multi-Sensor Satellite Data, Arden K. Pierce

Honors Theses

Mine tailings impoundments are structures built to contain the chemical and sedimentary byproducts generated by ore extraction activities. In this common method of mining waste storage, the tailings can be pumped into containment ponds and held behind earthen embankments to prevent the release of hazardous substances into the surrounding environment. Monitoring environmental factors that influence the structural integrity of these impoundments is essential for identifying areas vulnerable to instability and failure. Soil moisture is a factor that can affect the stability of mine tailings impoundment structures. This study evaluates the relationship between satellite-derived soil moisture and surface deformation at mine …

Engagement Modeling And Inference For Risk-Aware Path Planning Under Adversarial Uncertainty, Grant Stagg

Theses and Dissertations

This dissertation develops methods for planning safe and efficient trajectories for autonomous vehicles operating in environments containing adversarial and environmental threats with uncertain parameters. The central objective is to quantify and control the risk of adverse events--such as interception or detection--when threat characteristics are imperfectly known. To address this challenge, probabilistic weapon engagement zone (PEZ) models are introduced to estimate the likelihood of violating adversarial engagement constraints under uncertainty in pursuer state and capabilities. Multiple computational strategies are developed for PEZ evaluation, including first-order sensitivity-based approximations, Monte Carlo estimation, and neural-network surrogate models. These approaches enable rapid engagement-probability assessment and …

Optimization Of Refolding, Purification, And Analytical Characterization Of Proinsulin(F25d) Soluble Antigen Array Immunotherapy, Abigail Richardson

McKelvey School of Engineering Graduate Student Theses & Dissertations

Type 1 Diabetes (T1D) is characterized by autoreactive immune responses to insulin and its precursor, proinsulin. Soluble antigen arrays (SAgAs) displaying the metabolically inactive proinsulin variant, proinsulin(F25D), represent a promising antigen‑specific immunotherapy candidate for T1D. However, the production of these platforms is hindered by substantial practical challenges, including protein aggregation, inefficient refolding, and the lack of sensitive analytical tools to verify quality and dosage. This work establishes an integrated, scalable pipeline for the purification, conjugation, and quantification of a proinsulin(F25D) SAgA. First, we optimized the refolding of recombinant methionine-proinsulin(F25D) (M-PI(F25D)) from inclusion bodies using controlled buffer systems and created a …

Improving Semantic Precision In Text-To-Image Diffusion Models Via Latent-Space Optimization And Semantically-Parsed Evaluation, Mohammad Rouie Miab

McKelvey School of Engineering Graduate Student Theses & Dissertations

Text-to-image diffusion models can produce visually impressive images from natural-language prompts, but they often fail to satisfy the detailed semantic constraints expressed in compositional prompts. Typical failure modes include omitted objects, merged entities, incorrect quantities, incorrect attribute binding, and leakage of one entity's attributes onto another. This thesis studies the problem of semantic precision in text-to-image generation: how faithfully a generated image satisfies the structured meaning of its prompt.   The thesis makes two linked contributions. First, it presents a training-free inference-time refinement method for diffusion-based image generation. The method operates directly in latent space during denoising and uses noun-phrase-aware cross-attention …

Lunar Manufacturing Systems And The Role Of Additive Recycling Technologies, Camille A. Newman

Honors Theses

Renewed international interest in sustained lunar exploration has created a growing demand for technologies to support long-duration space exploration. Part of the recent Artemis missions and the Moon to Mars initiative is to improve key mission capabilities and fill critical gaps necessary to sustain lunar habitation. Waste management, recycling systems, and manufacturing systems have been identified as critical technologies that need further development before a sustained mission is possible. This thesis explores the feasibility of an additive manufacturing and recycling system designed to process plastic waste generated during extended lunar habitation. Initial research focused on existing manufacturing and recycling technologies …

Lunar Manufacturing Systems And The Role Of Additive Recycling Technologies, Camille A. Newman

Honors Theses

Renewed international interest in sustained lunar exploration has created a growing demand for technologies to support long-duration space exploration. Part of the recent Artemis missions and the Moon to Mars initiative is to improve key mission capabilities and fill critical gaps necessary to sustain lunar habitation. Waste management, recycling systems, and manufacturing systems have been identified as critical technologies that need further development before a sustained mission is possible. This thesis explores the feasibility of an additive manufacturing and recycling system designed to process plastic waste generated during extended lunar habitation. Initial research focused on existing manufacturing and recycling technologies …

Voltage-Sensor–Targeting Modulators Of Iks: Identifying Critical Functional Groups Of C28 Via Electrophysiology And Sar Modeling, Jiacheng Huang

McKelvey School of Engineering Graduate Student Theses & Dissertations

I_Ks (KCNQ1/KCNE1) channels are essential for cardiac repolarization, and their dysfunction contributes to arrhythmogenic disorders such as Long QT Syndrome type 1 (LQT1). Pharmacological activation of I_Ks has therefore emerged as a promising therapeutic strategy. C28, a recently identified voltage-sensor–targeting activator, has been shown to markedly shift KCNQ1/KCNE1 voltage dependence and enhance current amplitude, validating the voltage-sensing domain (VSD) as a druggable site. However, the structural determinants that underlie C28’s activity remain incompletely understood. In this study, we aimed to identify critical functional groups of C28 by screening a structurally diverse set of C28-like analogs and evaluating their …

Comparing Llm Architectures In Street Fighter Iii, Andrew Hinh, Hyemin Doo, Jack Wu

Computer Science and Engineering Senior Theses

We built a browser-based Street Fighter III benchmark for comparing large language models (LLMs) and visionlanguage models (VLMs) under real-time constraints. The game runs through a Gymnasium-like control loop that exposes both frames and structured state while the agent emits button actions. We deploy the system on Modal and stream matches overWebRTC, which lets us compare ability, latency, and cost in one setting instead of spreading them across unrelated benchmarks. Because the benchmark is narrow, architectural tradeoffs that are easy to blur in offline evaluation show up quickly during live play.

Digital Lean Transformation Through Mes–Scada Intergration: Reducing Transactional And Cognitive Waste In High-Volume Electronics Manufacturing, Kamal Alalul

Graduate Dissertations and Theses

This research addresses inefficiencies in Manufacturing Execution System (MES)-driven workflows, where excessive user interactions and fragmented access to work instructions introduce transactional and cognitive waste. To address these limitations, an integrated architecture was developed using Ignition as a SCADA-based operator interface connected to the MES through API-based communication. The system replaces direct MES interaction with a unified interface that embeds work instructions and automates transaction execution within the production workflow. The approach was implemented and evaluated through an industrial case study on a 15 station electronics manufacturing line. Results show a 51% reduction in total cycle time, decreasing from 2,996 …

Leveraging Information Theory And Ecological Network Analysis To Monitor Communication Networks In A Student Aerospace Team, Christine Sessions

Doctoral Dissertations and Master's Theses

Effective communication is a critical component of successful collaboration in group projects and team settings. However, systematically tracking and analyzing team communications can be challenging, especially in complex, multi-member teams such as those found in the aerospace industry. This paper explores an information-theoretic approach that leverages encoding techniques and graph theory to analyze communication networks within a university’s multi-year, student-led cubesat design project (Project COMET). By utilizing Shannon Entropy as a measure of information flow, encoding communication patterns, and analyzing Ecological Network Analysis parameters, this research aims to understand how an Embry-Riddle Aeronautical University student project team evolves over the …

Aerodynamic And Acoustic Modeling For Evtol Rotor Noise Prediction, Daniella Bezuidenhout, Anastasios S. Lyrintzis, Vladimir V. Golubev

Doctoral Dissertations and Master's Theses

This thesis presents the development and validation of a methodology for predicting total acoustic emissions from a one-fifth scale electric vertical takeoff and landing (eVTOL) rotor in both hover and edgewise flight conditions. The approach couples sectional two-dimensional Reynolds-Averaged Navier-Stokes (2D-RANS) airfoil simulations with rotor loading predictions from the Comprehensive Hierarchical Aeromechanics Rotorcraft Model (CHARM), tonal noise calculations using the acoustic solver PSU-WOPWOP, and broadband noise predictions from the UCD-QuietFly framework. Boundary-layer inputs traditionally obtained from the viscous-inviscid solver, XFOIL, were replaced with higher-fidelity 2D-RANS results from OpenFOAM to better capture low-Reynolds-number flow physics, including laminar-turbulent transition and laminar separation …

Adaptive Control Combined With Integral Concurrent Learning For Trajectory Tracking Near Asteroids, Alvaro Diaz Rodrigo

Doctoral Dissertations and Master's Theses

Close-proximity operations in the vicinity of Near-Earth Asteroids (NEAs) are essential for scientific studies and possible future planetary-defense missions. Unlike motion around large celestial bodies, spacecraft dynamics near small, rotating asteroids are dominated by weak, highly irregular gravity fields. While full characterization of an asteroid’s shape enables high-fidelity gravitational modeling, such information is typically unavailable in realistic mission scenarios, and in-situ exploration is often required. As a result, the forces acting on the spacecraft cannot be modeled accurately in advance, leading to significant uncertainty in the equations of motion and challenging guidance and control strategies. To address these challenges, the …

Data-Driven Physical-Layer Optimization For Rf And Optical Communications: Transmitarray Metasurfaces, Contextual-Bandit Mud, And Coherent Optical Links, Chengtao M. Xu

Doctoral Dissertations and Master's Theses

This dissertation studies three physical-layer optimization problems that share a common difficulty: the forward model, whether an electromagnetic solver or a statistical channel model, is either too expensive to evaluate at design scale or too unstable to hold across a single processing block. The first two problems are treated in their own right, as problems in antenna design and in multi-user detection over time-variant channels; the third carries the methodology onto a coherent optical link, where size, weight, and power constraints make a small-satellite deployment the natural target.

The antenna work targets a tri-layer pixelated unit cell fabricated on Avient …

Aquaculture Ecosystem Modeling Aeration Efficiency Optimization Using Cfd, Gabriela Reyes Gomez

Electronic Theses and Dissertations

The Harbor Branch Oceanographic Institute (HBOI) is developing the Intelligent and Resource Efficient Pond Aquaculture (IREPA) project, which aims to improve aquaculture management through the integration of predictive models and automated technologies. This approach seeks to transition traditional practices toward data-driven systems capable of supporting informed decision-making for aeration management.

This study investigates the effectiveness of different aerator configurations on hydrodynamic circulation and dissolved oxygen (DO) distribution in aquaculture ponds using computational fluid dynamics (CFD). A model was developed in ANSYS Fluent, where the aerator was represented using a power-based formulation and implemented as a moving wall boundary condition. Dissolved …

Contributions To Ship-Airwake-Rotor Coupling Characterization Using Controlled Forcing, Guillermo Mazzilli

Doctoral Dissertations and Master's Theses

Shipboard helicopter operations occur within a highly unsteady environment referred to as the dynamic interface (DI), encompassing the coupled effects of the ship airwake, rotor wake, flight dynamics, and pilot response. A central aspect of the DI is the aerodynamic interaction between the ship airwake and the rotor wake, which degrades handling qualities and increases pilot workload, yet the underlying mechanisms governing ship-rotor coupling remain insufficiently understood. The ship-rotor aerodynamic coupling was examined using two canonical ship geometries, the NATO-GD and SFS2, together with a controlled experimental framework, the airflow-and-blade-frequency (ABF) system, which independently varied wake momentum flux and unsteady …

Niu Fsae Brake Rotor Design & Flywheel-Based Test Stand Development, Cody J. Marko, Austin Coyne, Alexander Boyden

Honors Capstones

This project addresses the need for a reliable and validated brake rotor for the Northern Illinois University Formula SAE vehicle following a prior catastrophic rotor failure within the team. Brake rotors in high-performance applications are subjected to significant thermal and mechanical loads, and inadequate design can lead to failure, posing serious safety risks and limiting vehicle performance. To solve this issue, a new brake rotor was designed alongside a dedicated test stand to both improve braking performance and enable experimental validation. The rotor was evaluated using finite element analysis (FEA), including transient thermal and structural simulations, to predict maximum temperature, …

Portable Humidity Chamber, Calvin Wright, Ian Heilers, Sam Taylor

Honors Capstones

This engineering project, sponsored by Crandall Stats and Sensors, focuses on improving the ability to test product performance under controlled environmental conditions by designing a portable humidity chamber capable of maintaining a stable relative humidity between 20 and 80 percent with a tolerance of ±0.5 percent. Consistent humidity is crucial for evaluating how moisture influences material properties, product reliability, and long-term durability in real production environments. Because Crandall conducts testing across multiple facility locations, the chamber must also be lightweight, transportable, and easy for operators to use without specialized training. Developing such a system provides the company with a valuable …

Woodward Cuk Converter, Aditi Venkatesh, Jennifer Pereira

Honors Capstones

The purpose of this senior design project is to design and build a Cuk converter, a type of buck–boost converter. The project involves developing an analytical model and validating it through hardware testing. Cuk converters are important because they are widely used in everyday electronics, particularly in renewable energy systems such as solar power, power supplies, and electric vehicles. Their ability to increase, decrease, and reverse the polarity of voltage makes them flexible. The continuous input and output currents result in low ripple, reducing component stress and improving efficiency. To achieve these goals, simulations will be conducted using LTspice to …