Understanding And Predicting Precipitation Characteristics In The United States Through Machine Learning, Numerical Modeling And Measurements, Cody Luther Ratterman

All Graduate Theses and Dissertations, Fall 2023 to Present

Precipitation is one of the most important yet uncertain variables in the climate system. It varies dramatically in terms of timing, accumulation, rate, and phase, depending on location, season, circulation patterns, and atmospheric conditions. Precipitation forecasts, especially snowfall, are essential to supporting drought mitigation and water management in the Intermountain West. Because rainfall and snowfall lead to opposite effects on snowpack, accurately partitioning rain and snow is important to estimate snowpack levels, winter recreation, mountain ecosystems and runoff. The research findings in this dissertation have advanced the understanding and prediction of precipitation and snowpack in the U.S. by addressing the …

Developing A New Uas Method For Estimating Heat Exposure On Western Us Trails, Jared Young

All Graduate Theses and Dissertations, Fall 2023 to Present

Heat exposure and the risks to human health that stem from it have been studied extensively in the context of urban and occupational settings. Less studied however, is the effect of heat exposure in a recreational setting such as on hiking trails. What makes this fact more surprising is that recreation, especially in the Western US, is extremely popular, with national parks such as Zion and Arches bringing in hundreds of thousands of visitors every year. With millions of recreationists exposed to the hazard of heat every year, it is critical that recreationists are made aware of the dangers they …

The Role Of Roughness And Geometry In 2d Depth-Averaged Models: A Comparative Study Using Laboratory Flume Experiments, Adrienne Luymes Mckell

All Graduate Theses and Dissertations, Fall 2023 to Present

Hydraulic models are commonly used to predict how water moves through rivers and streams, helping engineers manage flood risk and design infrastructure such as bridges, culverts, and restoration projects. One challenge in these models is representing the effects of riverbed roughness, including features such as rocks, vegetation, and other obstacles that slow water flow.

This study investigated whether it is better to represent these roughness features in detail or to simplify them while still accounting for their effects. Laboratory measurements from a controlled channel experiment were used to create two computer models: one that included the detailed shape of the …

Integrative Taxonomic Analysis Of Cryptic Species Diversity In The Spiny Witch-Hazel Gall Aphid, Hamamelistes Spinosus (Hemiptera: Aphididae: Hormaphidini) In Eastern North America, Gavin Andrew Powell Munson

All Graduate Theses and Dissertations, Fall 2023 to Present

Taxonomy is the practice of identifying, classifying and categorizing species, providing structure for the vast diversity of life. Aphids are an ecologically important group of soft-bodied insects, but they can be difficult to identify because of their tiny anatomical size, reduced or simplified morphological features, and morphological variation within a single species across different generations. In this study, the taxonomy of the spiny witch-hazel gall aphid, Hamamelistes spinosus, is revised. The complex multi-generational life cycle of the aphids, which alternates between witch-hazel and birch trees, has led to confusion regarding past descriptions. Scientists in the late 1800s who were …

A Cfd-Dem Framework For Characterizing Nanoparticle Adhesion Effects On Creeping-Flow Permeability In Composite Manufacturing, Gavin Stoker

All Graduate Theses and Dissertations, Fall 2023 to Present

Modern aircraft, spacecraft, and high-performance vehicles are increasingly built from composite materials, engineered combinations of plastics and fibers that are lighter and stronger than traditional metals. Researchers are now pushing these materials further by mixing in microscopic particles thousands of times smaller than a human hair, called nanoparticles, to make them even tougher and more resistant to damage. The challenge is getting those nanoparticles distributed evenly. During manufacturing, liquid plastic resin is pumped through a network of tightly packed fibers, carrying the nanoparticles along with it. But nanoparticles tend to clump together and stick to surfaces as they travel, clogging …

Experimental And Numerical Investigation Of Flow Coefficients In Three-Way, T-Port, Ball Valve, Tyler A. Mindrum

All Graduate Theses and Dissertations, Fall 2023 to Present

Many systems that move fluids, like water distribution networks and heating, ventilation, and air conditioning (HVAC) systems, rely on valves to control flow. This study evaluates a three-way valve, which can direct flow in multiple directions, but has not been extensively researched. Testing included physical data collection and computer simulations to compare how the valves behaved under different valve openings and flow conditions. The results showed that computer simulations can predict the general flow behavior of three-way valves, but that physical testing is still important, especially for valves with complex internal geometries.

Llm-As-A-Judge For Software Engineering: Literature Review, Vision, And The Road Ahead, Junda He, Jieke Shi, Terry Yue Zhuo, Christoph Treude, Jiamou Sun, Zhenchang Xing, Xiaoning Du, David Lo

Research Collection School Of Computing and Information Systems

The rapid integration of Large Language Models (LLMs) into software engineering (SE) has revolutionized tasks from code generation to program repair, producing a massive volume of software artifacts. This surge in automated creation has exposed a critical bottleneck: the lack of scalable and reliable methods to evaluate the quality of these outputs. Human evaluation, while effective, is very costly and time-consuming. Traditional automated metrics like BLEU rely on high-quality references and struggle to capture nuanced aspects of software quality, such as readability and usefulness. In response, the LLM-as-a-Judge paradigm, which employs LLMs for automated evaluation, has emerged. This approach leverages …

Exploring The Experiences Of Teacher Assistants Who Remain In A Rural Michigan Head Start Program, Melissa Thiebaut

Walden Dissertations and Doctoral Studies

The problem addressed in this study was the approximately 35% attrition rate of teacher assistants (TAs) in a rural Head Start program. Grounded in Bakker’s job resources and job demands theory, the purpose of this basic qualitative study was to explore the experiences of TAs who chose to remain working in a rural Head Start program and the factors that influenced their decisions to stay. Data were collected by conducting semistructured interviews with 12 TAs from one Head Start program. Data analysis involved a deductive data analysis method with two categories, job resources and job demands, being predetermined by the …

Leveraging Artificial Intelligence To Enhance Marine Biosecurity, Marnie L. Campbell, Chi T.U. Le, Jumana Abu-Khalaf, Craig D.H. Sherman

Research outputs 2022 to 2026

Marine biosecurity stands at the crossroads of innovation and necessity, with artificial intelligence (AI) offering promising tools to enhance risk assessment, surveillance, and response strategies for invasive species management. Despite the rapid growth of AI applications in marine science, there has been no comprehensive overview of its potential role in enhancing and supporting marine biosecurity. Our literature review aims to fill this gap, showing that AI use in this field remains limited and underdeveloped. Through our literature analysis, we identify key opportunities for AI research and innovation across the marine biosecurity continuum, while also highlighting both general and domain-specific challenges. …

Efficient Test-Time Retrieval Augmented Generation, Hailong Yin, Bin Zhu, Jingjing Chen, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

Although Large Language Models (LLMs) demonstrate significant capabilities, their reliance on parametric knowledge often leads to inaccuracies. Retrieval Augmented Generation (RAG) mitigates this by incorporating external knowledge, but these methods may introduce irrelevant retrieved documents, leading to inaccurate responses. While the integration methods filter out incorrect answers from multiple responses, but lack external knowledge like RAG methods, and their high costs require balancing overhead with performance gains. To address these issues, we propose an Efficient Test-Time Retrieval-Augmented Generation Framework named ET2RAG to improve the performance of LLMs while maintaining efficiency. Specifically, ET2RAG is a training-free method, that first retrieves the …

Continuous Query For Top-K Maximal Sum Intervals Over Streaming Data, Zhongshuai Zhang, Xiaochun Yang, Baihua Zheng, Rui Zhu, Haomin Li, Bin Wang

Research Collection School Of Computing and Information Systems

The continuous identification of top-k maximal sum intervals using a sliding window over a data stream is a critical operation for applications in IoT and beyond. A maximal sum interval is a non-overlapping, contiguous subsequence with the maximal sum in a sequence of signed values. Existing algorithms are ill-suited for streaming contexts: they either exhaustively enumerate all intervals even for small k values, or depend on indexes that require frequent and costly restructuring. We propose a novel partition-based strategy. Our core insight is a partitioning scheme that guarantees that any maximal sum interval is fully contained within a single partition, …

Success Of New Ideas In Online Platforms: An Idea Network Perspective, Yimei Zhou, Qian Tang, Vincent Z.W. Mack Mack, Shao Yi Liaw

Research Collection School Of Computing and Information Systems

On online platforms, new ideas often emerge by recombining existing ones within idea networks. Unlike traditional knowledge networks, idea networks represent curated, meaning-based associations among ideas, offering a distinct lens on recombination. Drawing upon a hypergraph perspective, we investigate how new idea success depends on their structural and content attributes, and how collaborative participation shapes these attributes. Using data from an ideation platform, we find that both structural embeddedness and bridging benefit new idea success. Content diversity has no direct effect, but it amplifies the benefits of bridging while constraining those of embeddedness. Both crowd contributions and ideator expertise strengthen …

Approximation And Learning-Based Algorithms For Influence Maximization In Multilayer Social Networks, Xueqin Chang, Ruize Liu, Qing Liu, Baihua Zheng, Yunjun Gao

Research Collection School Of Computing and Information Systems

Motivated by the observation that users in the real world often engage across multiple social networks simultaneously, we study the problem of influence maximization in multilayer social networks (Mlim), aiming to select a small set of nodes that maximizes the total influence spread across all layers. To this end, we introduce a hybrid propagation model that jointly captures layer-specific diffusion dynamics and probabilistic cross-layer propagation. Based on this model, we formally define the Mlim problem and establish its NP-hardness, monotonicity, and submodularity. To address the Mlim problem, we first propose a greedy baseline Mlim-Greedy, which achieves a (1-1/e) approximation. Since …

Left: Learnable Fusion Of Tri-View Tokens For Unsupervised Time Series Anomaly Detection, Dezheng Wang, Tong Chen, Guansong Pang, Congyan Chen, Shihua Li, Hongzhi Yin

Research Collection School Of Computing and Information Systems

As a fundamental data mining task, unsupervised time series anomaly detection (TSAD) aims to build a model for identifying abnormal timestamps without assuming the availability of annotations. A key challenge in unsupervised TSAD is that many anomalies are too subtle to exhibit detectable deviation in any single view (e.g., time domain), and instead manifest as inconsistencies across multiple views like time, frequency, and a mixture of resolutions. However, most cross-view methods rely on feature or score fusion and do not enforce analysis–synthesis consistency, meaning the frequency branch is not required to reconstruct the time signal through an inverse transform, and …

Timeradar: A Domain-Rotatable Foundation Model For Time Series Anomaly Detection, Hui He, Hezhe Qiao, Yutong Chen, Kun Yi, Guansong Pang

Research Collection School Of Computing and Information Systems

Current time series foundation models (TSFMs) primarily focus on learning prevalent and regular patterns within a predefined time or frequency domain to enable supervised downstream tasks (\eg, forecasting). Consequently, they are often ineffective for inherently unsupervised downstream tasks—such as time series anomaly detection (TSAD), which aims to identify rare, irregular patterns. This limitation arises because such abnormal patterns can closely resemble the regular patterns when presented in the same time/frequency domain. To address this issue, we introduce TimeRadar, an innovative TSFM built in a fractional time–frequency domain to support generalist TSAD across diverse unseen datasets. Our key insight is that …

The President And The Power Grid, Alexandra B. Klass, Dave Owen

Faculty Scholarship

There is a sharp discontinuity between the second Trump Administration’s electricity policies and those of previous presidential administrations. President Trump has directed the Department of Energy to use statutory authority designed for wartime conditions and sudden emergencies to prevent electric utilities from retiring aging coal plants. In doing so, he has elevated the president’s role in electric-grid governance and reduced the primacy of the expert regulatory agency—the Federal Energy Regulatory Commission—that Congress authorized to govern electricity markets and grid reliability.

This Essay places these actions in historical context. It recounts the executive branch’s role in electricity policy during the first …

State Medical Licenses Without Borders, Meighan Parker

North Carolina Law Review

No abstract provided.

Unlocked And Unloaded: How State V. Cable Made North Carolina's Safe Storage Law Unenforceable, Annabelle Rice

North Carolina Law Review

No abstract provided.

Design And Verification Of A Reconfigurable Cryptographic Hardware Accelerator, Nicholas Merante

Theses

Cryptographic operations are used throughout computing systems to protect data confidentiality and integrity. Although software implementations provide flexibility, dedicated hardware can offer more predictable execution time and reduce the processing burden placed on a general-purpose processor. This thesis presents the design and verification of a Reconfigurable Cryptographic Hardware Accelerator (RCHA) that integrates AES-128, ChaCha20, SHA-256, and BLAKE2s within a single Verilog/SystemVerilog design. A top-level interface shared by the four cores manages algorithm selection, inputs, outputs, status, protocol errors, cycle measurement, and known-answer self-tests. Verification combined primitive-level tests, integrated UVM regressions, randomized stimulus, directed coverage tests, and OpenSSL-based C++ reference models …

Poppies In Bloom: Gathering Galaxies From Jwst Parallel Fields, Anika Kumar

Theses

A major goal of extragalactic astrophysics is connecting the Big Bang to the present by under- standing the evolution of star formation (SF) across cosmic time. The correlation between SF and the stellar mass buildup in galaxies, or the star forming main sequence relation (SFMS), highlights the various mechanisms that drive galaxy evolution. Deviations like quiescent galaxies, which have ceased forming stars, and starburst galaxies, which undergo an exceptionally high rate of SF compared to their normal star formation histories (SFH), offer key clues to the catalysts of galaxy evolution (e.g., mergers, gas accretion, supernovae feedback). Our understanding of early …

Asynchronous Methods For Reducing Dynamic Power In Sparse Systems, Braley Lachner

Theses

While a strong history of computer development has maximized architecture performance, modern computing is fundamentally constrained by thermal limits and power consumption. This is especially true in power sensitive edge applications, which often have low activity. Asynchronous architectures offer a pathway to take advantage of sparsity within hardware to drastically reduce dynamic power through fine-grain selective activation of only necessary hardware. Despite these advantages, the semiconductor industry relies heavily on Electronic Design Automation (EDA) toolchains, which have been developed with many synchronous assumptions. The traditional overhead and strict incompatibility with standard EDA toolchains have limited adoption of asynchronous technologies in …

History, Myth, Courage, And Selflessness: Kate Shelley And The Bridge Of Darkness, Stephen M. Jennings

All Theses

This thesis documents the research, creative development, and production of the animated short film Kate Shelley and the Bridge of Darkness. The project is inspired by the historical account of Kate Shelley, a fifteen-year-old girl who in 1881 crossed a railroad bridge during a violent storm near Moingona, Iowa, to warn a nearby train station of a catastrophic bridge collapse. Over time, Shelley’s actions became both a documented historical event and a subject of mythologized retellings in American cultural memory. The film explores this tension between history and legend through an interpretation that balances historical research with cinematic storytelling. The …

Immersive Attraction Design Using Real Time Virtual Production Techniques: A South Carolinian Ghost-Lore Dark Ride, Gabrielle M. Delo

All Theses

The role of themed entertainment can serve as a tool for cultural enrichment by integrating regional folklore into attraction design, using South Carolina’s “Gray Man” legend as the narrative foundation for a proposed dark ride. This project highlights how attractions can introduce wider audiences to lesser-known folktales while fostering appreciation for regional identity. It also examines the use of real-time virtual production, specifically using Unreal Engine 5.5, as a unified platform for previsualizing narrative-driven environments, enabling efficient iteration and integration of both physical and digital storytelling elements. This project positions game engine technology as a means of preserving and communicating …

Evaluating Drug Concentration Profiles In Wastewater To Develop A Framework For Estimating Drug User Populations, Carl Michael E. Espinosa

All Theses

Chemical compounds, including licit and illicit drugs can be measured in wastewater and used to assess community drug consumption, providing valuable information for public health agencies, law enforcement, and local communities. While previous research primarily focused on estimating the per capita community drug consumption using back-calculation, this research focused on utilizing literature-derived parameters including drug dosage, renal excretion fraction, and sewer stability to develop a framework to estimate the user populations using Monte Carlo simulations. Samples were collected from two wastewater treatment facilities representing the Generostee Creek WWTP’s sewershed (GCS) and Mauldin Road WRRF’s sewershed (MRS). The target analytes included …

Characterization, Transport Modeling, And Image Analysis Of Rover-Terrain Interaction For Lunar Regolith In-Situ Resource Utilization, Luke A. Manolescu

All Theses

NASA has declared a return to the lunar surface and the need and demand for sophisticated In-situ Resource Utilization (ISRU) is the highest in history. ISRU will require regolith excavation, transport, and processing in order to harvest the valuable resources available, support surface operations, and keep astronauts alive. Characterizing the lunar regolith is essential to understanding the mechanical and physical behavior of the material that will be used to construct berms and structurally support astronaut habitats and landers. Any construction on Earth requires an in-depth geotechnical site assessment prior to any construction to rule out any potential site issues that …

Charleston's Cottages: A Comprehensive Study Of Freedman's Cottages In Charleston, South Carolina, Hamzah C. Jule

All Theses

The freedman’s cottage is a distinct vernacular building type in Charleston, South Carolina. Though it is recognized for its historical significance, the freedman’s cottage remains one of the most understudied building typologies in Charleston. This thesis presents a comprehensive study of the freedman’s cottage, possible origins, chronology, material composition, geographic distribution, and architectural expressions. Identified by its architectural form – a one-story, pen-style, dwelling spanning one room wide and two rooms deep; adorned with a Charleston piazza – this vernacular architecture has decorated the Charleston landscape since. The freedman’s cottage has undergone numerous changes throughout its history, though final iterations …

Investigating The Effects Of Draw Parameters On The Refractive Index Profiles Of Phosphosilicate Fibers, Brandi Baldus

All Theses

P₂O₅ is a common dopant core material in silica-based glass optical fibers, in part due to its ability to increase the refractive index of silica, required for the fiber to guide light. However, P₂O₅-doped fibers can show a significant decrease in the refractive index profile compared to that of the parent preform. The question arises as to whether the refractive index decreasing could be a direct result of the fiber draw process and, if so, what is it about the draw process that causing such changes in phosphosilicate fibers. More specifically, this Thesis explores the hypothesis that these draw-induced reductions …

Evaluation Of High Temperature Thermal Energy Storage At A Field Site, Samuel R. Jennings

All Theses

A pilot-scale high-temperature thermal energy storage site has been developed at Clemson University and began operation in April 2025. High-temperature heat transfer fluid is circulated through a hexagonal array of borehole heat exchangers, which are installed up to 35 ft deep in the subsurface. The thermal energy is stored in the ground and is extracted by circulating the heat transfer fluid at a lower temperature. This test was expected to last more than six months and there was no way to evaluate the temperature data being measured. Since only temperature was being monitored, it was difficult to predict when key …

Evaluating Pfas And Marine Microbial Interactions In Estuarine Sediments With Varying Urbanization And Assessments Of Microbial Responses To Pfos, Zachary J. Padgett

All Theses

Per- and polyfluoroalkyl substances (PFAS) are a diverse class of synthetic chemicals that have become globally distributed due to their extensive use in industrial and consumer products and their extraordinary resistance to environmental degradation. Their persistence and documented toxicity have made them a growing concern in coastal environments, particularly in estuaries where urban runoff, wastewater, and industrial discharges concentrate these compounds. Estuaries are unique in that tidal mixing and interactions with fine-grained sediments and organic matter promote PFAS retention, while the microbial communities living directly within estuarine sediments are positioned where PFAS preferentially accumulate, creating conditions for prolonged exposure and …

Electrokinetic Flow Instabilities In Non-Newtonian Fluids With Conductivity Gradients, Md Mainul Islam

All Theses

Electrokinetic instabilities (EKI) arise in electrically driven flows because the applied electric field interacts with spatial variations in electrical conductivity, generating electric body forces that can destabilize fluid interfaces. EKI can be beneficial by enhancing mixing in microchannels where diffusion is slow, but it can also be detrimental by disrupting stable sample transport, focusing, and separation. EKI has been widely studied in Newtonian fluids, and the electric Rayleigh number is known to govern the onset of this instability. However, very few studies have examined its behavior in non-Newtonian fluids, despite their prevalence in biological, chemical, and industrial applications. 

This thesis …