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Foreward, Todd Arnold

Military Cyber Affairs

No abstract provided.

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Letter From The Director: Mastery In Practice, Joseph Schafer

Military Cyber Affairs

No abstract provided.

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Erratum To: Wavelet-Based Multiscale Analysis Of Cave Co2 Concentration In Response To Short-Term High-Intensity Tourism Activities: Spatiotemporal Heterogeneity And Lag Characteristics, Editors Ijs

International Journal of Speleology

N/A

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A Game-Theoretic Approach To Customer Rating Of Hotels On Ota Platforms, George Lymperis, Lambros B. Drossos

Journal of Global Business Insights

This study develops a game-theoretic model of moral hazard in hotel–guest interactions on Online Travel Agency (OTA) platforms, addressing a question the reputation literature has largely overlooked: can customer reviews discipline hotel behavior even in genuinely one-shot transactions, where a guest and hotel never interact again? Standard repeated-game accounts of reputation rely on a shadow of the future that is absent in tourist-dependent markets dominated by one-time visitors. Drawing on principal–agent theory and community-enforcement models of reputation, we model the hotel–guest interaction as a static moral hazard game in which a neutral OTA verifies and enforces review-based penalties. Hotels choose …

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Market Orientation And Strategic Performance In Global Firms: A Sequential Mediation Model Of Innovation And Supply Chain Resilience, Meisam Karami

Journal of Global Business Insights

This study examines how market orientation is associated with strategic performance in globally operating firms through the sequential mediating roles of innovation and supply chain resilience. Drawing on the Resource-Based View and Dynamic Capabilities Theory, the research proposes a capability-sequencing framework in which market orientation reflects a sensing capability, innovation represents a seizing capability, and supply chain resilience embodies a reconfiguring capability that stabilizes value creation under environmental disruption. Using cross-sectional survey data from 356 manufacturing and service firms engaged in international activities, partial least squares structural equation modeling was employed to test the hypothesized relationships. The results indicate that …

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Algorithms In Battle: Ai, International Relations, And Future Warfare, Nikos Koutsoupias, Kyriakos Mikelis, Marios Nosios

Journal of Strategic Security

This study examines the role of artificial intelligence (AI) in transforming contemporary warfare, with a particular emphasis on its applications in unmanned aerial platforms, sensor networks, and decision-support architectures. The analysis examines current operational uses, the algorithmic processes that enable them, and empirical insights drawn from the Russian-Ukrainian War. Findings indicate that machine learning enhances key military functions, including surveillance, navigation, targeting, fire coordination, and maintaining communication networks under conditions of electronic disruption. The emergence of loitering munitions and autonomous navigation systems reflects a pattern of incremental innovation, wherein automation augments operational efficiency without displacing human authority in decisions involving …

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Complex Adaptive Resilience And Asymmetrical Balancing: Russia And The 2022 Sanctions Regime, Renny Puspitarini, Sartika Soesilowati, Kacung Marijan, Ahmad Iskandar Rahmansyah

Journal of Strategic Security

The 2022 Russian invasion of Ukraine prompted unprecedented Western sanctions, which amounted to more than 23,000 sanctions during 2022-2024. However, these sanctions failed to fulfill their designated objective of influencing the end of the Russia-Ukraine War. Russian responses to progressively augmented sanctions have sparked debates surrounding microeconomic sovereignty, macroeconomic adaptability, and, foremost, resilience. The article’s findings reveal that while sanctions have not brought the Russian Federation to acquiesce, they have catalyzed a structural, politically induced policy shift into a Complex Adaptive Resilience (CAR) framework. Russia's ability to build resilience against sanctions has been manifested structurally in its strategy to reinforce …

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Structural Dependency: Nato, Defense Industry Politics, And Europe’S Stagnation, Diane M. Zorri

Journal of Strategic Security

Europe’s defense industrial base (DIB) weaknesses are commonly attributed to underinvestment, fragmented policies, or a lack of European cohesiveness. This article advances an alternative explanation: European defense industrial dependency has emerged through institutionalized alliance structures that systematically privileged US capabilities and incentives, becoming self-reinforcing and difficult for European actors to exit, even as their strategic preferences evolved. Drawing on dependency theory, path dependence, and theories of alliance politics, this article argues that transatlantic security arrangements established during the early Cold War, most notably NATO’s integrated command structures, defense procurement norms, and interoperability requirements, have generated long-lasting asymmetries in production, technology, …

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Reinterpreting The Grand Ethiopian Renaissance Dam Dispute In The Nile Basin Through The Game Theories Of Attrition And Bargaining, Olileanya Amuche Ezugwu, Felix C. Chidozie, Adeola A. Adebajo

Journal of Strategic Security

Why have more than a decade of negotiations, mediation efforts, and diplomatic interventions failed to produce a binding agreement on the Grand Ethiopian Renaissance Dam (GERD)? This article examines the hydro-politics of the Nile Basin through the lens of game theory, focusing on how bargaining behavior, strategic persistence, and competing perceptions of gains and losses shape state interactions. Drawing on the game of attrition and the bargaining game, the study analyzes the evolving strategies of Ethiopia, Egypt, and Sudan in the context of dam construction, filling, and operation. Rather than viewing the dispute solely as a contest over water allocation, …

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Evaluating Biochar Composites For 3d Printing Wetland Restoration Media, Lily Boyer, Melody Ngaaso

OneUSF Summer Undergraduate Research Symposium

Nutrient pollution from urban stormwater and agricultural runoff drives eutrophication in coastal wetlands, threatening the ecological function of ecosystems that communities depend on for water quality, flood resilience, and habitat. Floating treatment wetlands offer a nature-based intervention, but conventional planting media provide limited nutrient adsorption capacity and little opportunity for design optimization at scale. This study investigates whether biochar, a porous, high-surface-area carbon material, can be incorporated into extrudable biocomposites to enhance ammonium, nitrate, and phosphate adsorption in floating wetland applications, while remaining safe for sustained contact with wetland plant roots. Four biochar composite recipes were fabricated as standardized cylindrical …

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A Mobile Ai Conversational Platform For Supporting Autism Assessment In Children, Ruoyu Wang

OneUSF Summer Undergraduate Research Symposium

Early identification of autism spectrum disorder (ASD) remains challenging because many clinically relevant social, emotional, and communication behaviors are difficult to capture during brief clinical encounters. Young children may have limited attention spans, communicate differently with unfamiliar adults, struggle to express thoughts and emotions, or behave differently in clinical settings than in everyday environments. Consequently, clinicians often rely on brief observations and caregiver reports, which may not fully represent children’s typical communication behaviors. This study introduces an AI-powered conversational application for smartphones that supports longitudinal collection of naturalistic communication data from children. The application engages children in age-appropriate, play-based conversations …

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Investigation Of Localized Corrosion Effects On Structural Dynamic Properties, Thais Isabelle Parron Ruiz

OneUSF Summer Undergraduate Research Symposium

Corrosion is one of the main causes of structural deterioration. It reduces the structural integrity of the metal at the damaged location, making the entire structure less safe and more susceptible to failure. Therefore, structural health monitoring (SHM) is important for detecting damage before unsafe conditions develop and potentially lead to structural failure. The purpose of this study is to investigate the use of vibration-based dynamic analysis to identify localized corrosion. Every structure has intrinsic frequencies and shapes in which it tends to vibrate, known as natural frequencies and mode shapes. These parameters depend on the mass and stiffness of …

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Evaluation Of Aluminum Electrocoagulation Performance Indicators For Decentralized Drinking Water Treatment, Huy Nguyen, Monica Castro Carias

OneUSF Summer Undergraduate Research Symposium

Electrocoagulation (EC) is a promising alternative to conventional chemical coagulation for decentralized drinking water treatment because it generates coagulants on-site , reducing the need for chemical transportation and storage in remote communities. In EC systems, an electric current applied to aluminum electrodes releases species that form solid coagulants capable of removing groundwater contaminants. However, long-term operation remains poorly understood, as electrode degradation through passivation (deposit accumulation) and pitting may reduce coagulant production and treatment efficiency, highlighting the need for practical indicators to track performance. The objective of this study is to evaluate the relationship between current, electrode condition, and aluminum …

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Biological Regeneration Of Zeolite For Long-Term Nitrogen Management In Onsite Wastewater Treatment Systems, Hsiang Yang Shyu, Nicole Norwine, Annette Breton, Robert Bair, Daniel Yeh

OneUSF Summer Undergraduate Research Symposium

Nitrogen pollution poses serious risks to human and ecological health, driving toxic algal blooms, degrading fisheries, and threatening communities that rely on clean water resources, making sustainable nitrogen removal technologies essential. This study evaluates whether zeolite—a naturally porous, cation‑adsorbing mineral with high NH₄⁺ capacity—can be biologically regenerated through nitrification and denitrification, eliminating the costly chemical regeneration typically required for long‑term use. A lab‑scale Nutrient Capture System (NCS) was constructed using a granular activated carbon (GAC) bed followed by two tidal‑flow zeolite beds to simulate the Modified Ludzack‑Ettinger process. Synthetic wastewater containing approximately 70 mg/L total nitrogen and 260 mg/L COD …

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Exploring Biopolymer Nanofibrous Scaffolds For Wound Healing Applications, James Lewis

OneUSF Summer Undergraduate Research Symposium

Chronic wounds continue to present a significant clinical challenge due to delayed healing, persistent inflammation, and the high risk of infection, creating an urgent need for advanced therapeutic strategies beyond conventional wound dressings. Electrospinning has emerged as a powerful and scalable fabrication technique for developing nanofibrous scaffolds that mimic the native extracellular matrix (ECM) while serving as localized drug delivery platforms. The unique structural characteristics of electrospun nanofibers, including their high surface-area-to-volume ratio, interconnected porosity, and tunable fiber morphology, enable efficient loading, protection, and controlled release of therapeutic agents, promoting a favorable healing environment. In this study, biocompatible and biodegradable …

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Theoretical Model For A Poroelastic Membrane Under Uniform Load, Minh Duc Nguyen

OneUSF Summer Undergraduate Research Symposium

Flexible membrane wings appear throughout both natural and engineered flyers — parachutes, sails, birds, and bats — and are known to confer favorable aerodynamic characteristics through deformation in response to the surrounding flow. To date, flexibility and porosity have largely been studied in isolation, yet in a poroelastic membrane the two are coupled: as the membrane extends under load, its pores stretch with the surface. This study takes the first step toward analyzing that coupling by characterizing how the effective elasticity of the membrane depends on its porosity under uniform static pressure. Circular clamped membranes were simulated across a range …

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The Invisible Threat: Traditional Culture-Based Monitoring Misses The Vbnc State, Sarah Fee

OneUSF Summer Undergraduate Research Symposium

All living organisms share a fundamental biological drive to survive through adaptation. In drinking water systems, pathogens like E. coli utilize survival mechanisms to withstand the chemical disinfectants designed to eliminate them. While treatment with free chlorine or monochloramine successfully stops bacteria from multiplying into colonies, many cells respond to this oxidative stress by shifting into a viable but non-culturable (VBNC) state. In this state, bacteria remain physically intact and potentially virulent but fail to grow on standard agar plates, effectively “disappearing” from the conventional monitoring used to verify water safety. This investigation resolves this monitoring blind spot by utilizing …

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Temporal Graph Networks With Dynamic Mode Decomposition For Iomt Threat And Risk Detection, Thinh Pham

OneUSF Summer Undergraduate Research Symposium

The growing use of interconnected medical devices expands the attack surface of healthcare networks and creates the possibility that a compromise affecting one device, gateway, or communication channel may propagate through connected systems, producing cascading operational and patient-safety consequences. This research investigates whether temporal graph learning can improve intrusion detection and dynamic cyber-risk assessment in Internet of Medical Things networks. A Temporal Graph Network represents network flows as time-ordered interactions between communicating devices, uses each interaction to update their evolving behavioral profiles. The model jointly supports attack-type classification, anomaly detection, and dynamic risk scoring. The design also explores Dynamic Mode …

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Novel System For On-Pitch Kinematic Analysis Of A Rugby Lineout, Bradley J. Smith, Anthony Valverde Kong, Cathy Holt Phd, Stephanie L. Carey Phd

OneUSF Summer Undergraduate Research Symposium

A previous project at Cardiff University developed a low-cost, field-deployable inertial measurement unit (IMU) system for estimating knee-joint kinematics during rugby lineout lifts and landings. Validation against laboratory-based measurements demonstrated strong static accuracy, excellent temporal agreement, high repeatability, and adequate dynamic accuracy for the intended application, establishing a foundation for field-based biomechanical monitoring. To further evaluate the system, a summer internship at the University of South Florida investigated two proposed future-work objectives: comparison against optical motion capture (OMC) and evaluation of alternative sensor attachment methods to assess soft tissue artefact (STA). Initial testing involving dynamic vertical jump tasks compared IMU-derived …

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Synergizing Low-Cost Mobile Manipulation With Retrieval-Augmented Vision-Language-Action Models, Mingyang Mao, Ngoc Bao Dinh, Minh Duong Nguyen

OneUSF Summer Undergraduate Research Symposium

Robotic manipulation is transitioning from specialized, pre-programmed industrial subroutines to generalized, data-driven foundation models. This transition allows robots to utilize semantic reasoning to operate in unstructured environments like households or warehouses. Recent advancements in Vision-Language-Action (VLA) architectures, like RT-2, Octo, and OpenVLA, have improved robotic learning generalizability but still encounter some limitations. VLA research has only been deployed on expensive manipulator hardware, which restricts accessibility and large-scale data collection. In addition, VLA models underperform when encountering out-of-distribution (OOD) semantic instructions, novel object geometries, or complex, long-horizon tasks. Traditionally, expert demonstrations can address the OOD instructions and novel geometries. However, continuous …

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Designing Β-Barrel Membrane Protein Using Distributed Structure-To-Sequence Adapters., Tien Dao

OneUSF Summer Undergraduate Research Symposium

Membrane proteins, particularly β-barrel membrane proteins, play essential roles in cellular processes and have growing applications in biotechnology, biosensing, and sequencing technologies. However, de novo design of membrane proteins remains underexplored because current inverse folding models, are primarily trained on soluble proteins and have limited exposure to membrane protein structures. The scarcity of experimentally determined membrane protein structures further limits the development of deep learning models for membrane protein design. In this work, we investigate strategies to retrain ProteinMPNN for membrane protein sequence design by retraining the model on a number of membrane protein datasets consisting of α-helical and β-barrel …

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Optimizing Silk Fibroin–Polyethylene Oxide Polymer Blends For Electrospun Nanofibrous Scaffold Fabrication, Lucas Niemas

OneUSF Summer Undergraduate Research Symposium

Cardiovascular disease remains a major cause of morbidity and mortality, often requiring surgical repair or replacement of damaged tissues. Current cardiovascular substitutes, including synthetic grafts, mechanical valve replacements, and biologically derived tissues, have improved patient outcomes but still face limitations such as thrombosis risk, limited remodeling capacity, mechanical mismatch, and durability concerns. Cardiovascular tissue engineering seeks to address these challenges by developing biomimetic scaffolds that support cell attachment, extracellular matrix synthesis, tissue integration, and in vivo adaptation. Silk fibroin is a promising natural biomaterial because of its biocompatibility, tunable degradation, favorable mechanical properties, and anti-inflammatory potential; however, its low solution …

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Using Sers For Enhanced Pfoa Detection In Algae, Kyra Everette, Dawson Dodd, Theresa Evans-Nguyen

OneUSF Summer Undergraduate Research Symposium

Due to growing manufacturing processes runoff and environmental pollution, per- and poly-fluoroalkyl substances (PFAS), also known as “forever chemicals,” bioaccumulate in various waterways, eventually making their way into human bodies. Due to the low intensity signals of forever chemicals, it is notoriously difficult to isolate what cellular processes they impact, especially when using Raman spectroscopy. Here, we employed surface-enhanced Raman spectroscopy (SERS) to increase, detect and localize the perfluorooctanoic acid (PFOA) with gold nanoparticles (AuNPs). AuNPs were intracellularly produced in Chlorella and Scenedesmus algae cells, which acted as enhancers to the low PFOA signal. The production of AuNPs within these …

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Development Of High Performance Ammonium Receptors, Angus E. Rhoton, Andrew Victoria, Wenqi Vince Liu

OneUSF Summer Undergraduate Research Symposium

The selective recognition of ammonium ions is highly important for the protection of the environment, treatment of wastewater, and in agriculture. The focus of this project is the development and evaluation of potential synthetic receptors that are capable of strongly and selectively binding ammonium. Known receptor structures are modified by varying the cavity size, molecular geometry, hydrogen bonding groups, and electronic properties. The resulting compounds are evaluated through Nuclear Magnetic Resonance Titrations (NMR) and Isothermal Titration Calorimetry (ITC) to confirm binding and quantify their affinity for ammonium. The goal of this work is to identify promising receptor structures and to …

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Glycoconjugate Binding: Lectin Affinity For Structurally Differing Sugars On Cavitands, Erica D. Janmey

OneUSF Summer Undergraduate Research Symposium

Lectins are proteins that interact with sugars on cell membranes and bind with known affinities. Isothermal Titration Calorimetry (ITC) can give insight into entropy (ΔS), enthalpy (ΔH), stoichiometry (n) and the dissociation constant, KD. Resorcin[4]arene cavitand glycoconjugates were synthesized by attaching one of three sugar derivatives of glucose, mannose, and lactose to each of the cavitands for the purpose of comparing binding strength for concanavalin A between the glycosides and their simple sugar. The glycoconjugate structure differs from that of glycans, and therefore the differences in interactions between the sugars on the cavitands must be investigated. The multivalent resorcinarene glycoconjugates …

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Llm-Assisted Detection And Repair Of Hardware Security Vulnerabilities In Verilog Designs, Ethen Santana, Gabriel Gyaase

OneUSF Summer Undergraduate Research Symposium

Hardware designs, like software, are susceptible to bugs that can introduce security vulnerabilities and create opportunities for malicious exploitation. Unlike software vulnerabilities, however, hardware flaws become permanently embedded in silicon after fabrication, making them difficult or impossible to patch. Many of these weaknesses are categorized under the Common Weakness Enumeration (CWE) framework and include improper access control, exposure of sensitive information, and unintended privilege escalation. To improve the detection of such vulnerabilities, we propose a methodology that leverages a Large Language Model (LLM) to identify potential hardware CWEs directly from hardware designs in Verilog. The proposed approach is evaluated iteratively …

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Multi-Omics Informed Drug Response Prediction For Precision Medicine, Iyioluwa O. Adaramola, Anowarul Kabir

OneUSF Summer Undergraduate Research Symposium

Motivation: Treating cancer in patients is hard within precision oncology due to the heterogeneity in cancer cells. Developing predictive methods that estimate drug-responses in cancer cell lines can improve our understanding of treatment effectiveness. The goal of this study is to explore the fundamental and data-driven limitations of the existing advanced learning methods for drug response prediction for precision oncology.

Approach & Findings: We examine current state-of the-art methods that utilize multi-omics patient data and/or signaling pathways to predict drug response across various cell lines. Our analysis identifies that models that learn molecular and topological manifolds demonstrate richer representation of …

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Computational Modeling Of Electrospinning For Predicting Nanofiber Fabrication And Process Optimization, Jadon J. Orr, Rhidita Rahman Khan

OneUSF Summer Undergraduate Research Symposium

Electrospinning is a widely used Fabrication technique for producing continuous polymeric nanofibers with application in designing more efficient optoelectronic devices, sensors, producing filtration systems, wound healing, tissue regeneration, drug delivery , forming advanced functional nanomaterial structures. The successful formation of electro-spun fibers depends on complex interaction among polymer concentration, solution viscosity, molecular chain entanglement, solvent properties, applied voltage, tip-collector-distance, and solution flow rate. Determining the optimum electrospinning condition traditionally achieved through repeated experimental trial and error, makes the process time consuming, costly, and difficult to reproduce across different polymer-solvent systems. Developing computational tools capable of predicting fiber formation can significantly …

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Smartphone-Based Profiling Of Industrial Control Systems Using Magnetic Side Channels, Michelle Mcaveety, Rylan Pietras, Robert Karam

OneUSF Summer Undergraduate Research Symposium

Industrial Control Systems (ICS) have increasingly been subject to malicious cyber attacks, thus threatening the operational safety, stability, and reliability of critical infrastructure. While existing research has utilized electromagnetic, timing, and audiovisual side channels for ICS attacks, the offensive utility of magnetic side channels in these environments has yet to be explored. Utilizing the magnetometers present in modern-day smartphones, the magnetic fields produced by the Programmable Logic Controller (PLC), Human-Machine Interface (HMI), Linear Actuator Controller, and AC-to-DC Power Converter are recorded. Magnetic field data then undergoes signal processing coupled with machine learning classification on extracted feature vectors to determine the …

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Seabirds In 3d: A Framework To Evaluate Collision Vulnerability With Future Offshore Wind Developments In The California Current System, Stephanie R. Schneider, Eli Wallach, Charles Chamberlin, David G. Ainley, Scott B. Terrill, Sharon H. Kramer, R. Glenn Ford, Janet Casey, Jarrod A. Santora, Lisa T. Ballance, Sophie B. Bernstein, Sadie Trush, Arne Jacobson

Marine Ornithology

Since the 1970s, numerous vessel and aerial surveys of marine birds, covering many thousands of square kilometers, have been conducted in the California Current System (CCS), providing insights into seabirds' horizontal (2D) diversity and abundance, including the identification of “hotspots.” Addressing knowledge gaps regarding seabird distribution patterns from a 3D (vertical) perspective, however, will be required if California (CA) is to use offshore wind (OSW) facilities to assist in reaching the state's 2045 renewable energy goals. Such an analysis will allow seabirds' vertical distribution to be considered when assessing potential OSW impacts, as collision vulnerability is greatest for birds flying …

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Full-Text Articles in Entire DC Network

Foreward, Todd Arnold

Military Cyber Affairs

Letter From The Director: Mastery In Practice, Joseph Schafer

Military Cyber Affairs

Erratum To: Wavelet-Based Multiscale Analysis Of Cave Co2 Concentration In Response To Short-Term High-Intensity Tourism Activities: Spatiotemporal Heterogeneity And Lag Characteristics, Editors Ijs

International Journal of Speleology

A Game-Theoretic Approach To Customer Rating Of Hotels On Ota Platforms, George Lymperis, Lambros B. Drossos

Journal of Global Business Insights

Market Orientation And Strategic Performance In Global Firms: A Sequential Mediation Model Of Innovation And Supply Chain Resilience, Meisam Karami

Journal of Global Business Insights

Algorithms In Battle: Ai, International Relations, And Future Warfare, Nikos Koutsoupias, Kyriakos Mikelis, Marios Nosios

Journal of Strategic Security

Complex Adaptive Resilience And Asymmetrical Balancing: Russia And The 2022 Sanctions Regime, Renny Puspitarini, Sartika Soesilowati, Kacung Marijan, Ahmad Iskandar Rahmansyah

Journal of Strategic Security

Structural Dependency: Nato, Defense Industry Politics, And Europe’S Stagnation, Diane M. Zorri

Journal of Strategic Security

Reinterpreting The Grand Ethiopian Renaissance Dam Dispute In The Nile Basin Through The Game Theories Of Attrition And Bargaining, Olileanya Amuche Ezugwu, Felix C. Chidozie, Adeola A. Adebajo

Journal of Strategic Security

Evaluating Biochar Composites For 3d Printing Wetland Restoration Media, Lily Boyer, Melody Ngaaso

OneUSF Summer Undergraduate Research Symposium

A Mobile Ai Conversational Platform For Supporting Autism Assessment In Children, Ruoyu Wang

OneUSF Summer Undergraduate Research Symposium

Investigation Of Localized Corrosion Effects On Structural Dynamic Properties, Thais Isabelle Parron Ruiz

OneUSF Summer Undergraduate Research Symposium

Evaluation Of Aluminum Electrocoagulation Performance Indicators For Decentralized Drinking Water Treatment, Huy Nguyen, Monica Castro Carias

OneUSF Summer Undergraduate Research Symposium

Biological Regeneration Of Zeolite For Long-Term Nitrogen Management In Onsite Wastewater Treatment Systems, Hsiang Yang Shyu, Nicole Norwine, Annette Breton, Robert Bair, Daniel Yeh

OneUSF Summer Undergraduate Research Symposium

Exploring Biopolymer Nanofibrous Scaffolds For Wound Healing Applications, James Lewis

OneUSF Summer Undergraduate Research Symposium

Theoretical Model For A Poroelastic Membrane Under Uniform Load, Minh Duc Nguyen

OneUSF Summer Undergraduate Research Symposium

The Invisible Threat: Traditional Culture-Based Monitoring Misses The Vbnc State, Sarah Fee

OneUSF Summer Undergraduate Research Symposium

Temporal Graph Networks With Dynamic Mode Decomposition For Iomt Threat And Risk Detection, Thinh Pham

OneUSF Summer Undergraduate Research Symposium

Novel System For On-Pitch Kinematic Analysis Of A Rugby Lineout, Bradley J. Smith, Anthony Valverde Kong, Cathy Holt Phd, Stephanie L. Carey Phd

OneUSF Summer Undergraduate Research Symposium

Synergizing Low-Cost Mobile Manipulation With Retrieval-Augmented Vision-Language-Action Models, Mingyang Mao, Ngoc Bao Dinh, Minh Duong Nguyen

OneUSF Summer Undergraduate Research Symposium

Designing Β-Barrel Membrane Protein Using Distributed Structure-To-Sequence Adapters., Tien Dao

OneUSF Summer Undergraduate Research Symposium

Optimizing Silk Fibroin–Polyethylene Oxide Polymer Blends For Electrospun Nanofibrous Scaffold Fabrication, Lucas Niemas

OneUSF Summer Undergraduate Research Symposium

Using Sers For Enhanced Pfoa Detection In Algae, Kyra Everette, Dawson Dodd, Theresa Evans-Nguyen

OneUSF Summer Undergraduate Research Symposium

Development Of High Performance Ammonium Receptors, Angus E. Rhoton, Andrew Victoria, Wenqi Vince Liu

OneUSF Summer Undergraduate Research Symposium

Glycoconjugate Binding: Lectin Affinity For Structurally Differing Sugars On Cavitands, Erica D. Janmey

OneUSF Summer Undergraduate Research Symposium

Llm-Assisted Detection And Repair Of Hardware Security Vulnerabilities In Verilog Designs, Ethen Santana, Gabriel Gyaase

OneUSF Summer Undergraduate Research Symposium

Multi-Omics Informed Drug Response Prediction For Precision Medicine, Iyioluwa O. Adaramola, Anowarul Kabir

OneUSF Summer Undergraduate Research Symposium

Computational Modeling Of Electrospinning For Predicting Nanofiber Fabrication And Process Optimization, Jadon J. Orr, Rhidita Rahman Khan

OneUSF Summer Undergraduate Research Symposium

Smartphone-Based Profiling Of Industrial Control Systems Using Magnetic Side Channels, Michelle Mcaveety, Rylan Pietras, Robert Karam

OneUSF Summer Undergraduate Research Symposium

Marine Ornithology