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2024-2025 University Awards Of Excellence, Georgia Southern University

University Awards of Excellence

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Calliope, Georgia Southern University

Calliope Magazine

Volume 43

South Asian American Experiences Of Microaggressions And Wellbeing: The Moderating Role Of Social Support, Archita Birla

College of Graduate Studies: Theses & Dissertations

Although the South Asian American community is rapidly expanding in the United States (South Asian Americans Leading Together [SAALT], 2015), there remains a dearth of psychological research regarding the impacts on mental health and wellbeing affecting this diverse community. Racial microaggressions, or verbal or behavioral actions indicating hostile or negative attitudes toward marginalized individuals (Sue et al., 2007), negatively impact People of Color (POC) mental health and wellbeing (Forrest-Bank & Jenson, 2015a; Nadal, Wong, et al., 2015). Some research exists on South Asian American communities and microaggressions (Houshmand et al., 2014; Poolokasingham et al., 2014) but there is limited research …

Characterization And Optimization Of Sand And Tung Oil-Based Resins For Binder-Jet 3d Printing, Daniel I. Ajiola

College of Graduate Studies: Theses & Dissertations

Binder-jet 3D printing as a transformative technology in additive manufacturing, offers the ability to fabricate complex structures with diverse materials. This thesis investigates the use of a sustainable tung oil-based resin to create composites, exploring the potential for an eco-friendly alternative to synthetic binders.

The aim of this research is to develop and characterize a bio-based resin formulation, using tung oil as the primary binder, for application in binder-jet 3D printing with sand as the reinforcement. The resin formulation was prepared by combining tung oil, n-butyl methacrylate, divinylbenzene, and di-tert-butyl peroxide in precise proportions, ensuring a balanced mixture that supports …

Teacher Attrition During And After A Pandemic: A District’S ‘New Normal’ View, Tammy H. Jacobs

College of Graduate Studies: Theses & Dissertations

Teacher attrition has long been a concern in the K-12 educational sector, driven by various factors such as low salaries, lack of administrative support, increased teacher workload and responsibilities, and teacher stress and burnout. When the COVID-19 pandemic struck in March 2020, these existing pressures intensified. The abrupt transition to remote learning placed additional stress on teachers, who had to rapidly adapt their teaching strategies and engage students in virtual learning environments. As educators faced heightened expectations and were given additional duties, many chose to leave the profession entirely or retire early, exacerbating the ongoing teacher shortage. The combination of …

Artificial Intelligence For Digital Deception: A Study On Detection, Generation, And Evaluation, Tasnim Akter Onisha

College of Graduate Studies: Theses & Dissertations

The rapid advancement of artificial intelligence has significantly influenced digital media, enabling both the detection and generation of synthetic content. This thesis, titled Artificial Intelligence for digital deception: A Study on Detection, Generation, and Evaluation, explores AI’s role in digital deception through three distinct studies focused on facial expression analysis for deepfake detection, machine learning-based spam classification on cloud platforms, and the evaluation of generative AI state-of-the-art text to video models. The first study investigates the effectiveness of facial expression analysis in distinguishing between deepfake and genuine videos. Using Noldus FaceReader 7, participant’s emotional responses were analyzed while viewing deep-fake …

Enhancing Ai-Driven Automation For Object Detection And Computer Vision, Nafeeul Alam Walee

College of Graduate Studies: Theses & Dissertations

In recent years, AI-driven automation has revolutionized the field of object detection and computer vision, enabling sophisticated and efficient solutions across various industries. This research explores the latest advances and techniques in improving AI-driven automation for object detection and computer vision applications. We examine state-of-the-art deep learning models and frameworks that have contributed to significant improvements in accuracy and speed and highlight the generative results. The focus is on exploring the real-time processing capabilities that have expanded the applicability of these technologies in real-world scenarios. Furthermore, we investigate image integration and video data to improve precision detection and contextual understanding. …

Bio-Inspired Airfoil Design Based On The Aerodynamic Analysis Of A Bird Feather Microstructure, Jack C. Ihm

College of Graduate Studies: Theses & Dissertations

This study investigates the aerodynamic effects of a bio-inspired airfoil design based on the microstructure of a secondary feather from a female wood duck. The research hypothesized that incorporating barbs and barbules into an airfoil design would modify boundary layer behavior by introducing localized flow disturbances. To test this, a bio-inspired airfoil was developed by integrating the microstructure into a NACA 0012 airfoil and analyzed using computational fluid dynamics (CFD) simulations at angles of attack of 0°, 5°, 10°, and 15°. The results showed that the bio-inspired airfoil influenced boundary layer behavior, producing localized flow disturbances near x/c = 0.7 …

Ease Of Product Disassembly Through A Systematic Structured Time-Based Design For Disassembly Methodology, Emeka S. Igwe

College of Graduate Studies: Theses & Dissertations

This research introduces a systematic time-based design for disassembly (DfD) framework aimed at optimizing product disassembly by addressing important features like liaisons between components in product, component accessibility and the overall modularity of the product. This study specifically covers electromechanical and mechatronic systems in both household and industrial setup, identifying their disassembly challenges and high value pointers for improvement. The methodology involves using a design for disassembly framework called LeanDfD in carrying out a holistic disassembly process and evaluating quantitative metrics like disassembly time and complexity and suggesting further redesign strategies to minimize disassembly time and cost. Adopting this systematic …

Variations Of Hex Bar Deadlifts On Post-Activation Performance Enhancement In Collegiate Baseball Athletes, Samuel Sanders

College of Graduate Studies: Theses & Dissertations

Single-session resistance priming protocols are used by strength and conditioning coaches to acutely improve neuromuscular mechanisms that are beneficial to athletic performance. This study aimed to examine if a concentric-only hex bar deadlift (CHBDL) would produce a similar post-activation performance enhancement (PAPE) effect as a full-range-of-motion hex bar deadlift (THBDL) and mitigate perceived measures of fatigue and soreness in collegiate athletes. 19 NCAA Division I baseball athletes completed the study. A repeated measures design with randomized assignment and counterbalanced order was utilized. Over two weeks, the CHBDL and THBDL were added into a typical priming protocol used by the team’s …

Insider Threat Agent: A Behavioral Based Zero Trust Access Control Using Machine Learning Agent, Michael Fojude

College of Graduate Studies: Theses & Dissertations

Hybrid work, cloud adoption, and freely available AI‑enabled attack tools have exposed critical weaknesses in perimeter‑centric security. Current breach reports attribute more than one‑third of incidents to insider misuse or credential compromise, yet many organizations still depend on static Role‑ or Attribute‑Based Access Control that neither verifies intent continuously nor adapts to subtle behavioral change. This research addresses that gap by designing and validating a behavioral based Zero Trust Access Control (ZTAC) Agent. A five‑year enterprise log Dataset was extracted and cleansed to establish a high‑fidelity baseline of normal user behavior. Feature engineering captured temporal regularity (login sequence, session duration), …

Ranking Of Non-Destructive Testing Methods For Ductile Iron Castings For Industry 4.0, Michael W. Jones

College of Graduate Studies: Theses & Dissertations

Non-destructive testing techniques provide a unique solution to provide quality assurance of parts rapidly and efficiently without altering the functional properties of the workpiece. The metal casting industry requires an elevated level of quality assurance, as castings are critical components to several industries. The wrong selection of non-destructive testing methods could increase production costs, quality costs, and potentially permit non-conforming castings to enter the market. The aim of this research is to develop a ranking model for non-destructive testing techniques for ductile iron castings within the context of the fourth industrial revolution. The ranking model analyzes the effectiveness of the …

Evaluating Multimodal Ai Systems: A Comparative Analysis Of Large Languagel Model-Based Models For Text, Image, And Video Generation, Azeezat O. Akinola

College of Graduate Studies: Theses & Dissertations

In the era of rapid technological advancement, efficient content generation, application development, and data management are crucial for meeting the demands of dynamic digital environments. This thesis uses state-of-the-art models to explore three core areas: AI-driven video content creation, text-to-image-to-text consistency, and automatic text summarization. The first study investigates the potential of AI-powered text-to-video generation to democratize video production and enhance storytelling. By comparing the performance of three models—ModelScope, Text2Video (Zero), and Motion Consistency—this study assessed the quality of generated videos using CLIP scores. It evaluated statistical significance through t-tests and homogeneity tests. Results indicate that ModelScope outperformed the others, …

Comparative Analysis Of Eye-Metric Algorithms For Code Comprehension In Introductory Cs Course, Noushin Gauhar

College of Graduate Studies: Theses & Dissertations

Eye-tracking technology offers a non-intrusive way to study cognitive processes by tracking where and how long individuals look. In computer science education, it provides valuable insights into how students understand source code—a task that requires intense visual and mental effort. This study investigates how eye-tracking can reveal differences in code comprehension strategies among students in an Introductory Programming course. By analyzing three key metrics—dwell time, gaze entropy, and the K coefficient—the research explores how students engage with code. Dwell time indicates cognitive focus on specific code elements, the K coefficient measures attentional shifts between scanning and focused reading, and gaze …

Perceptions Of Agricultural Careers In African American School-Age Students Implications For Public Health Workforce, Brittany M. Prince

College of Graduate Studies: Theses & Dissertations

This study evaluated a six-week enriched agricultural education curriculum on African American students’ knowledge and perceptions of agriculture and agricultural careers in two selected populations. The study aimed to expand awareness about agriculture and diverse agricultural career opportunities in an effort to reduce perceived stereotypes. The study employed a pre-post-test design, implemented at one middle school and one high school that were intentionally selected based on their population demographics. Participants included 108 students across both schools, with the majority identifying as African American. Data analysis included paired-sample t-tests and One-Way ANOVAs and revealed statistically significant increases in knowledge for middle …

Enhancing Adhd Diagnosis In College Students Using Multimodal Integration Of Nicats And Iva-2 Tools, Rushmila Shabneen

College of Graduate Studies: Theses & Dissertations

This study explores enhanced methods for accurately identifying Attention Deficit Hyperactivity Disorder (ADHD) indicators in college students. ADHD, a neurodevelopmental disorder, impacts attention, impulse control, and emotional regulation, often leading to academic and social difficulties. Many students remain undiagnosed due to symptom overlap with stress and other factors. Traditional tools like the IVA-2 assess behavioral responses but may not fully capture ADHD complexity. This research integrates IVA-2 data with multimodal metrics from the Non-Intrusive Classroom Attention Tracking System (NiCATS), which monitors facial expressions, eye movements, and computer interactions. Preliminary results show that combining these tools improves ADHD detection, reduces false …

An Infrared Thermography Assessment For Monitoring Aging Mse Walls, Charles Lawal

College of Graduate Studies: Theses & Dissertations

Mechanically Stabilized Earth (MSE) walls play a vital role in ensuring the stability of transportation infrastructure, yet traditional inspection techniques often struggle to detect subsurface defects and demand significant labor. This research explores the application of Infrared Thermography (IRT) as a non-destructive, cost-effective approach for inspecting MSE walls across Southeast Georgia. By capturing thermal images under diverse environmental and operational conditions, the study aims to identify potential issues, including cracks, voids, delamination, and honeycombing, which can undermine integrity over time. Utilizing advanced image processing tools, the research implements specialized software to enhance the accuracy of defect detection, facilitating the generation …

Dynamic Analysis Of Malware Detection Using Customized Payloads: Examining The Effectiveness Of Manual And Automated Approaches In Web Applications, Jiban Krisna Das

College of Graduate Studies: Theses & Dissertations

Web applications are becoming the prime targets for cyber-attacks, where SQL injection (SQLi) and Cross Site Scripting (XSS) are the most exploited vulnerabilities. The study explores a novel approach using customized payloads to examine the effectiveness of manual and automated techniques of malware detection. This dynamic approach can effectively generate attack payloads and identify the vulnerabilities in a website thereby strengthening website security measures. This research focuses on dynamic analysis in a controlled environment while testing and analyzing SQL and XSS payloads under varying security conditions. This quantitative analysis involves crafting targeted payloads to bypass Web Application Firewall (WAF) filters …

Impact Of Y-Mixer Geometry And Flow Rate Modulation On Chemical Gradient Generators In Microfluidic Devices, Elizabeth Thurston Hutton

College of Graduate Studies: Theses & Dissertations

Various microfluidic structures are devised to generate tunable, stable spatiotemporal chemical gradients for single-cell studies. This work addresses the role of Y-mixer junctions in generating nonlinear gradients by increasing the width of one arm (bias), which is suspected to cause premature diffusion within the mixer. This study introduced a cinching feature to narrow the wider arm locally and redefine the junctions of these biased Y-mixers using four novel geometries defined by a 5-micrometer drawing rule. Furthermore, three flow rate factors allowed us to explore the impact on the generated gradient landscapes. The results showed that the four novel designs similarly …

Digital Modeling Of Temperature-Dependent Processes In Industrial Wastewater: Advancing Ultimate Oxygen Demand Prediction For Treatment Optimization, Fatima Iqbal

College of Graduate Studies: Theses & Dissertations

The pulp and paper industry is the third-largest consumer of freshwater globally and faces mounting pressure to optimize water usage and minimize environmental impact. Aerated stabilization basins are extensively utilized in the pulp and paper industry and play a crucial role in treating wastewater from these operations. The existing management practices fail to effectively optimize treatment processes due to the prolonged time required for testing key quality parameters. The utilization of models developed for treatment facilities presents a viable solution; however, existing open-source models often fall short in accurately predicting treatment efficiency across varying conditions and lack comprehensive accounting of …

Pulsed Arc Additive Manufacturing Of A Functionally Graded Er2209 Duplex Stainless Steel And Hsla-100 Structure: Morphology, Characterization, And Mechanical Performance, Stevens G. Hill Jr

College of Graduate Studies: Theses & Dissertations

Wire arc additive manufacturing is a process well suited to the efficient production of large structures. Duplex stainless steel exhibits high corrosion resistance and good strength which can be highly beneficial for industrial use. However, its use is limited due to its cost and complexity in controlling microstructure to achieve desired properties. In many cases, it can be highly beneficial to manufacture a component which uses specialty steel grades such as duplex stainless steel only where necessary, and utilizes more affordable, commonly available steels for reinforcement or bulk structural support. A functionally graded material satisfies these requirements by providing a …

People Of The Ogeechee: Subsistence And Landscape Use In The Late Archaic Ogeechee River Valley, Caleb R. Jeck

College of Graduate Studies: Theses & Dissertations

Precontact life in the Ogeechee River valley of Georgia’s Coastal Plain is significantly understudied in contrast to the adjacent Savannah River valley and the coast of Georgia. Research in these regions has provided a substantial amount of archaeological data that has helped us to understand Late Archaic period dynamics and the settlement patterns of precontact people, primarily those associated with Stallings culture. The Ogeechee River valley figured prominently during the Late Archaic period, especially during Classic Stallings times, yet the region’s archaeological record is largely unexamined. Settlement patterns for coastal Georgia and the middle Savannah River valley have been proposed …

Dynamic Modulus Of Sbs-Modified Asphalt Mixtures Added With Ground Tire Rubber Content, Azharul Islam

College of Graduate Studies: Theses & Dissertations

The study investigates the improvement of the dynamic shear modulus in the base and styrene butadiene styrene (SBS) modified asphalt mixture by accumulating varying amounts of ground tire rubber through an Asphalt mixture performance tester (AMPT). This thesis specifically explores how different percentages of ground tire rubber (GTR) influence the mechanical properties and durability of the asphalt mixture articulated with two grades, PG 64-22 and PG 76-22. The experimental framework consisted of preparing asphalt mixtures blended with 10% to 15% of the binder for PG 64-22 and 3% to 8% of GTR for PG 76-22. The laboratory testing involved using …

Temporal Analysis Of Construction Safety Incidents In Southeastern U.S. Using Machine Learning Techniques, Mayowa O. Oladele

College of Graduate Studies: Theses & Dissertations

Construction safety incidents remain a significant concern, particularly in the Southeastern U.S. due to the high-risk nature of the industry. Analyzing patterns in these incidents can help improve safety practices and reduce accidents. Machine learning (ML) techniques were employed in this study to identify temporal patterns in construction safety incidents, aiming to enhance proactive safety management. The machine learning methods used in this research included logistic regression, decision trees, random forest, support vector machine (SVM), and K nearest neighbors (KNN).

The objective of the study was to analyze temporal trends in safety incidents and identify the most effective machine learningtechnique …

Motivating Students Through Problem-Based And Project-Based Learning, Dennis J. Moore

College of Graduate Studies: Theses & Dissertations

ABSTRACT

As educators, motivating students can be a difficult task.Sixteen eighth-grade students discuss their perceptions of what makes educational programs motivating. In teacher-centered classrooms, teachers lecture while their students take notes, quizzes, and tests and practice memorization skills in preparation for high-stakes testing. Is this a fair assessment of a student's knowledge, and does this type of instruction fulfill students’ needs for a successful future? Research for this case study focused on students' perceptions of an agricultural program that utilizes problem-based and project-based learning with a sustainability focus.

In problem-based learning (PBL) classes, students are given real-world problems and asked …

Survey And Identification Of Entomopathogenic Fungi In Millipede Species In Coastal Georgia, Kristin L. Campbell Bailey

College of Graduate Studies: Theses & Dissertations

Entomopathogenic fungi are well-known, species-specific pathogens of a wide diversity of insects that infect, manipulate, and kill their insect hosts to complete their life cycle. Recently in Savannah, Georgia, millipedes belonging to the genus Eurymerodesmus were observed exhibiting pre-death climbing behaviors associated with pathogenic fungal infection. Dying millipedes summited vegetation and subsequently died in elevated positions along edge habitat transitioning a recreational field and forest. Upon inspection, fungal structures found emerging from dead millipedes anatomically resembled Arthrophaga myriapodina, which is the first documented entomophthoralean fungus to infect millipedes. The goal of this research was to obtain species-level identification of the …

Majority Decision Using Top-Performing Neural Networks Models For Improved Credit Risk Prediction, Vincent Dey

College of Graduate Studies: Theses & Dissertations

Credit risk prediction remains both a challenging and high-interest problem due to the inherently unbalanced nature of financial datasets and the continuous drive for higher pre- dictive precision. In this work, I build upon previous advancements in credit risk modeling and introduce an ensemble-based Artificial Neural Network (ANN) architecture designed to enhance classification performance. By leveraging a selective ensemble of decision net- works, this approach not only improves prediction accuracy but also mitigates the chal- lenges posed by imbalanced data distributions. While the primary focus is on credit risk prediction, my analysis demonstrates that the proposed model can be effectively …

Using Algal Turf Scrubber Biomass As A Feed Source For Juvenile Eastern Oysters, Taofeek Saka Jimoh

College of Graduate Studies: Theses & Dissertations

Algal turf scrubber (ATS) is an engineered system that promotes natural wastewater treatment processes and improves water quality by passing a shallow stream of nutrient rich water over the surface of a gently sloped flow-way. Algae turf scrubber biomass is a combination of micro and macroalgae, as well as micro-invertebrates, ciliates, bacteria, and more. The overall aim of the study was to reduce the feeding cost of juvenile eastern oysters by replacing the commercial microalgae diet with ATS biomass. The experiment was designed to assess the viability of replacing commercial microalgal diet with ATS biomass at different substitution levels (0, …

Comparative Analysis Of Lidar And Close-Range Photogrammetry Techniques For Inspection Of Mse Walls In Two Georgia Bridges, Md. Mehrab Hossain

College of Graduate Studies: Theses & Dissertations

Mechanically Stabilized Earth (MSE) retaining walls are durable, settlement tolerant, easy to install, and present cost-effectiveness, in highway bridges. Nevertheless, the cost of repairing MSE walls is high, and it is crucial to have an accurate, quantitative, and scalable inspection method for early detection of potential problems. This study aims to analyze and evaluate undesired displacements that may affect these walls over time. For this, two remote-sensing technologies are considered: Light Detection and Ranging (LiDAR) and 3D Close Range Photogrammetry (CRP). Their performances are compared against an accurate Robotic Total Station (RTS) device, serving as the benchmarking instrument. This work …

Advocacy Across Divides: Attorney Aaron L. Buchsbaum In Savannah, Georgia, 1963-1969, Sydney Jolene Kelly

College of Graduate Studies: Theses & Dissertations

This thesis explores the early life and career of Aaron Levy Buchsbaum, a Jewish lawyer from Savannah, Georgia. Buchsbaum's Jewish family upbringing, Southern childhood, and legal education all combined to mold him into an individual who used the profession to support those facing unjust treatment by the Savannah-Chatham County court system. By focusing on three of Buchsbaum's legal cases involving the Civil Rights Movement and his partnership with humanitarian organizations, this thesis contextualizes local conflicts in Savannah in the 1960s. Rather than safeguard the civil rights of all citizens, these cases demonstrate that the authorities, including judges, district attorneys, and …