Digital Commons Network^™

Beyond The Hype: The Fundamental Challenges Of Machine Learning-Based Android Malware Detection In Cybersecurity, Guojun Liu

USF Tampa Graduate Theses and Dissertations

Machine learning (ML) algorithms have achieved remarkable success across various domains, including cybersecurity. Inspired by these advancements, the academic security community has explored numerous ML-based approaches for Android malware detection. While ML holds significant promise in this domain, its practical deployment faces substantial challenges, including data collection, feature selection, app representation across different models, performance instability across datasets, and inherent limitations of learning-based malware detection. These challenges can lead to overly optimistic detection results and weaken the reliability of malware detection frameworks.

Android malware detection has been extensively studied using both traditional ML and deep learning (DL) approaches. Although many …

Ai‐Assisted Integration Of Computational Thinking: Pre‐Service Teachers’ Experiences In Early Childhood Mathematics Education, Hae Min Yu, Seung Kim, Hyeseong Lee

Education Department Faculty Articles

This study examined how pre-service teachers utilize artificial intelligence (AI) tools to integrate computational thinking (CT) in early childhood mathematics education. Through a qualitative case study guided by the TPACK framework, we examined 24 early childhood pre-service teachers enrolled in a mathematics methods course as they developed CT-integrated math lesson plans using AI assistance. Data sources included pre- and post-course open-ended questionnaires, CT exploration assignments, AI interaction documentation, lesson plans, and reflection papers. The findings revealed three patterns in how pre-service teachers leveraged AI as a scaffold: generating initial ideas for CT integration, refining these ideas for specific teaching contexts, …

Indoor Airborne Pathogen Transmission And Control: A Role Of Environmental Factors And Material Properties, Eloise Eyo Parry-Nweye

Dissertations - ALL

The transmission of infectious airborne pathogens has severe implications on human health and economic stability. This is evidenced by the re-emergence of global pandemics with high mortality rates, various respiratory diseases, crop damage, incurred nationwide financial costs, etc. These causative pathogens, encompassing viruses, fungal spores, etc., attach to aerosol and droplet particles, enabling their aerial dispersal and leading to a cascade of detrimental events. Developing interventions to control pathogenic transmission requires an in-depth understanding of the various modes of disease transmission. However, existential gaps within the respective disease transmission modalities remained. For instance, while viruses are predominantly transmitted via aerosols, …

Enhancing Security And Healthcare Through Continuous Monitoring On Wearable Devices, Sicong Chen

Dissertations - ALL

Wearable and mobile devices are becoming deeply embedded in daily life, supporting a growing range of tasks - from communication and entertainment to health monitoring and productivity. As people increasingly rely on these devices, it is essential to ensure both the protection of the sensitive data they store and the ability to derive meaningful insights that enhance users’ well-being. This dissertation investigates how wearable and mobile devices can be leveraged to provide robust and user-friendly solutions through continuous monitoring across two critical domains: security and mental health. The foundation of this dissertation is the development of a security infrastructure, as …

Anhydrous Ammonia As A Hydrogen Carrier Fuel For Solid Oxide Fuel Cells, Cole Anthony Wilhelm

Dissertations - ALL

In the years since humans realized that our actions could have profoundly harsh effects on the environment, we have been searching for ways to minimize our impacts, while also maintaining the same standard of living. One of the actions with such effects is power generation using fossil fuels, which has long been the largest source of energy. While efforts should be made to improve the efficiency of these power generation plants, we should also work to identify alternative opportunities for power generation without the use of fossil fuels. Some of these opportunities include hydroelectric, photovoltaic, wind, nuclear, and the combustion …

Online And Offline Learning For Embodied Ai In Autonomous Systems, Kun Wu

Dissertations - ALL

Embodied Artificial Intelligence (AI), which integrates physical embodiment with intelligent decision-making, is increasingly critical in advancing autonomous systems across diverse domains such as autonomous driving and robotic manipulation. This dissertation presents a comprehensive exploration of online and offline learning approaches for Embodied AI in autonomous systems, addressing both algorithmic innovations and dataset construction to overcome fundamental challenges in perception, decision-making, and control. Through five interconnected studies, we systematically advance the state of the art in deep reinforcement learning (DRL) and imitation learning for embodied control. First, we introduce CADRE, a cascade online DRL framework for vision-based autonomous urban driving that …

Dynamic Resource Allocation For Wireless Networks And Radar Systems Via Deep Reinforcement Learning, Ziyang Lu

Dissertations - ALL

The rapid advancement of wireless communication technologies and the proliferation of smart devices have led to increasingly complex and dynamic network environments. These developments have posed significant challenges to traditional radio resource management (RRM) techniques, which often struggle with scalability, adaptability, and real-time decision-making. In response to these limitations, this dissertation explores the application of advanced machine learning, particularly deep reinforcement learning (DRL), to develop intelligent, adaptive, and data-efficient solutions for resource management in wireless networks and radar systems. We begin by addressing joint channel access and power control in wireless interference networks using centralized, distributed, and federated multi-agent DRL …

Investigating The Topic, Impact, And Resource Gap Between Academia And Industry In The Field Of Artificial Intelligence, Lizhen Liang

Dissertations - ALL

Artificial intelligence (AI) has seen fast development in industry and academia. Striking advancements from industry companies have stunned the research field, inviting a fresh perspective on the relationship between industry and academia. Industry research teams have played a critical role by developing large-scale computational infrastructure, curating extensive datasets, and publishing impactful AI research. As a result, industry-led AI research has impacted both fundamental and applied AI, blurring the distinction between academic and industrial research. Concerns have arisen regarding the growing resource gap between industry research teams and academia research teams. While some AI research topics remain accessible, research in areas …

Poly(Pyridinium Salt)S Containing 9,9-Bis(4- Aminophenyl)Fluorene Moieties With Various Organic Counterions Exhibiting Both Lyotropic Liquid-Crystalline And Light-Emitting Properties, Pradip K. Bhowmik, David King, Haesook Han, Andras F. Wacha, Matti Knaapila

Chemistry and Biochemistry Faculty Research

Main-chain conjugated and non-conjugated polyelectrolytes are an important class of materials that have many technological applications ranging from fire-retardant materials to carbon-nanotube composites, nonlinear optical materials, electrochromic materials for smart windows, and optical sensors for biomolecules. Here, we describe a series of poly(pyridinium salt)s-fluorene containing 9,9-bis(4-aminophenyl)fluorene moieties with various organic counterions that were synthesized using ring-transmutation polymerization and metathesis reactions, which are non-conjugated polyelectrolytes. Their chemical structures were characterized by Fourier transform infrared (FTIR), proton (1H) and fluorine 19 (19F) nuclear magnetic resonance (NMR) spectrometers, and elemental analysis. They exhibited polyelectrolytic behavior in dimethyl sulfoxide. Their lyotropic liquid-crystalline phases were …

Ddx323.1 Speculative Futures Example 5, Sae University College

Exemplars

This project reimagines our relationship with the ocean by exploring speculative design to envision a future that caters for more-than-human.

Grades Are Bugs, Jordan Freitas

Computer Science Faculty Works

This paper argues that grades are bugs in our educational system, undermining desired behaviors and outcomes. Grades were introduced into higher education for purposes directly at odds with the goals of inclusive pedagogy today, as well as the neuroscience of human motivation and learning. Students enter computer science programs from increasingly varied backgrounds and experiences, and face a rapidly evolving landscape of prospective career paths while higher education costs in the United States are ever increasing. Computer science educators have a responsibility to adapt and carefully re-examine typical approaches to all aspects of the learning environments we build and curricula …

It Was Always Designed To Kill Us: How Discrimination, Biopolitics, Necropolitics, And Orientalism Shape The Design Of Dragon Age: The Veilguard, Ash Cavalcanti

Theses - ALL

This thesis is an analysis of how necropolitics, discrimination, and Orientalism shape the design of the game Dragon Age: The Veilguard (2024). In examining how the game depicts race, gender, and sexuality, I explore the tension between the game’s intended progressive message and the design decisions that run counter to it. The first chapter explores how the game’s design shapes the player character and their allies into citizens and defenders of the status quo, and the problematic implications of connecting citizenship to humanity. This chapter goes into depth about how this defense of the status quo naturalizes some forms of …

Independent Horror Video Games As Modern Zines, Kevin J. Wade

Theses - ALL

Video games are typically perceived as expensive projects requiring hundreds of specialized employees to produce. However, they can serve as a potent medium for personal expression and collaborative storytelling, especially in the realm of Independent games. This paper will examine video games as modern illustrated zines, particularly their role as tools for socially transgressive expression. To provide a baseline for understanding how horror games engage players through polished, more mainstream narratives, we will first examine Triple-A horror games with professional staff and publisher financing. We will use this as a stepping stone to delve into independent horror games, we will …

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Revised Draft Final Insufficiently Reclaimed Sites Quality Assurance Project Plan (Dated May 27, 2025), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

High-Frequency Impedance Spectroscopy: Measurement Reproducibility, Electromagnetic, And Ionic Effects In Cylindrical Lithium-Ion Cells, Matthew R. King, Paul T. Coman, Rafid Mollah, Md Rayhan Khan, Saranraj Karuppuswami, Taylor R. Garrick, Ralph E. White

Faculty Publications

Accurate high-frequency electrochemical impedance spectroscopy (HF EIS) is critical for understanding lithium-ion battery (LIB) behavior under AC perturbations, relevant to electric vehicle systems and charging infrastructure. However, measurements at high frequencies are often distorted by external electromagnetic interference, poor contact quality, and wiring artifacts. This study investigates four experimental testbench configurations for HF EIS of cylindrical LIBs, highlighting the impact of contact resistance, Faraday shielding, wire twisting, and calibration. A coupled electrochemical-electromagnetic model is developed to isolate and analyze the skin effect and frequency-dependent electrolyte conductivity. Results show that spot-welded connections, twisted and shielded wiring, and calibration within a Faraday …

Disinformation Attacks And Nonprofit Communication Strategies, Elise Lael Kieffer, Kevin M. Carr

Journal of Nonprofit Innovation

This study explores how disinformation attacks on social media can affect nonprofit organizations, a topic that has received limited scholarly attention compared to similar impacts in the for-profit sector. Through a review of existing literature and two in-depth case studies—Save the Children and the American Red Cross—this research analyzes how nonprofit organizations are uniquely vulnerable to reputational damage in the face of disinformation. The case studies highlight different motivations behind disinformation campaigns, including political agendas and deliberate efforts to harm brand credibility, and assess the effectiveness of various response strategies, including denial, debunking, attacking the source, and public education. Findings …

Belonging, Identity, And Reintegration In India: Two Generations Of Us Women Return Migrants, Jenna Sikka

Dissertations - ALL

This dissertation examines how generational differences among Indian returnee women shape their experiences of reintegration into Indian society, highlighting how migration and return are embedded in broader socio-historical, cultural, and gendered contexts. Focusing on two cohorts- women who migrated before India’s 1991 economic liberalization and those who migrated after- the study draws on qualitative interviews to explore how returnees navigate the tensions between values acquired abroad and the social expectations they face upon returning. The older cohort of returnee women, many of which were influenced by Gandhi’s ideals, often view their reintegration as a process of reconnecting with familiar values, …

Development Of Lead-Free Perovskite Passivated Core/Shell Perovskite Nanocrystals With Enhanced Optoelectronic Properties And Environmental Stability, Hanjie Lin

Dissertations - ALL

All-inorganic lead halide perovskite nanocrystals (NCs) have great optoelectronic properties with promising applications in light-emitting diodes (LEDs), lasers, photodetectors, solar cells, and photocatalysis. However, the applications of perovskite NCs face many challenges, including environmental issues and poor endurability of the perovskite-based devices caused by the intrinsic toxicity of Pb and the poor stabilities of perovskites against moisture, heat and light. To address those issues of the lead halide perovskite NCs, we utilized stable lead-free perovskite as a shell to protect the lead halide perovskite NCs, as well as developed lanthanide ions (Ln3+) doped/based-lead-free perovskite NCs to enhance their optical properties, …

Advancing Situation Awareness In Safety-Critical Systems: The Role Of Multi-Modal Wearable Augmented Reality, Jean-Philippe Rancy

Dissertations - ALL

Augmented Reality (AR) is emerging as a transformative tool for enhancing multi-modal interaction and situational awareness in safety-critical environments. This dissertation investigates the impact of wearable AR interfaces on maritime navigation, examining their effects on operator performance, cognitive workload, and operator communication. This research evaluates AR’s role in supporting multi-modal information processing and decision-making in high-risk operational contexts. This work is structured around three studies. The first study quantifies how wearable AR displays influence navigational accuracy, cognitive load, and situation awareness, revealing both efficiency gains and cognitive trade-offs. The second study explores multi-modal AR’s impact on operator mobility and communication, …

Curating Climate Change: Information Flows Across And Within Social Media Platforms, Yiran Duan

Dissertations - ALL

This dissertation explores how climate change information spreads on X (formerly Twitter) and what content from YouTube travels to X, focusing on climate change related tweets posted during November 2022. Using content analysis, machine learning, and case studies, about 114,000 tweets and their embedded YouTube videos were analyzed. The findings show that not all climate-related content is equally shared, some information is more likely to spread than others. The findings also indicate that users with a moderate number of followers are the ones connecting YouTube and X, rather than those with the highest follower counts on X. The findings are …

Sparse Recovery Using Scale And Signed Permutation Invariant Functions, Jianqing Jia

Dissertations - ALL

Recovering sparse signals from limited and noisy measurements is an important problem in modern data processing. Traditional methods, which often rely on convex relaxations such as the $\ell_1$ norm, struggle in scenarios with high coherence or large dynamic ranges. A major challenge in these settings is to develop a unified and computationally efficient framework that can accommodate a broad class of sparsity-promoting functions. In this dissertation, we overcome these challenges by introducing a general framework for all scale and signed permutation invariant functions. This dissertation has three main parts. In the first part, we introduce the $(\ell_1/\ell_2)^2$-model for sparse recovery …

The Effect Of Bike Lanes On Commuting Patterns And Non-Commuting Perspectives In Cities, Zhuoran Shang

Dissertations - ALL

This dissertation studies how bike lanes affect cities on commuting and non-commuting margins. The first chapter analyzes the impact of bike lanes on commuting behavior, including mode shares, commuting flows, and travel times. Using data from Seattle spanning 2000 to 2012, this chapter employs several reduced-form estimations. Instrumental variable regressions reveal that the provision of bike lanes reduces car mode shares but does not significantly affect bike mode shares. By introducing a novel treatment variable that captures both the proximity and coverage of bike lanes, I find that bike lanes encourage more people to commute by bike, but also contribute …

Data-Efficient 3d Deep Learning, Minmin Yang

Dissertations - ALL

3D data, whether represented as point clouds, volumetric data or meshes, plays a critical role in domains such as autonomous driving, robotics, and medical imaging. However, the complexity of 3D data acquisition and the high cost of annotation often make it impractical to curate large, fully labeled 3D datasets. Furthermore, the unstructured nature of point clouds and the high dimensionality of volumetric data pose additional challenges for designing effective deep learning models. While existing architectures, like PointNet and DGCNN, have made significant progress in learning directly from raw 3D inputs, they typically rely on data-rich scenarios. This dissertation focuses on …

Self-Powered Rapid Antigen-Specific T-Cell Response Assay For Mycobacterium Tuberculosis Infections, Bo Ning, Sutapa Chandra, Yongchun Pan, Riti Sharan, Ngan Ha, Sanjay Singh, Alexandra Portillo Varela, Lin Li, Qingli Wu, Alexander Kay, Gugu P Maphalala, Clement Adu-Gyamfi, Santiago Carrero Longlax, Anna M Mandalakas, Smriti Mehra, Christopher J Lyon, Edward A Graviss, Andrew R Dinardo, Tony Hu

Faculty, Staff and Students Publications

Interferon-gamma release assays (IGRAs) that evaluate an individual’s T-cell activation response to Mycobacterium tuberculosis (M.tb)-specific peptides serve an important role in diagnosing tuberculosis (TB). However, there are substantial challenges to the use of IGRAs in resource-limited settings. Further, IGRA diagnostic performance can also be compromised in anergic individuals. Here we describe a microfluidic chip-based antigen-specific T-cell response assay (ASTRA) that automates the detection of M.tb-specific T-cell activation responses to facilitate screening for latent M.tb infection and TB. We observe that ASTRA demonstrates high specificity for M.tb infection in independent patient cohorts. Compared with IGRA, ASTRA shows greater …

Board Of Trustees Minutes, Jun. 27 2025, Indiana State University Board Of Trustees

Board of Trustees

No abstract provided.

Board Of Trustees Agenda, Jun. 27 2025, Indiana State University Board Of Trustees

Board of Trustees

No abstract provided.

An Fgfr-P53 Developmental Signaling Axis Drives Salivary Cancer Progression, Julia M. R. Billington

USF Tampa Graduate Theses and Dissertations

Mucoepidermoid carcinoma (MEC) is the most frequently occurring salivary gland malignancy.Here, we investigated transcriptomic profiles of human fetal and adult salivary glands and MEC tumors to assess programs involved in MEC progression. Molecular and genetic analyses revealed that MEC tumors and fetal salivary glands share proliferative and developmental gene expression profiles that implicate an FGFR-p53 signaling axis in salivary MEC progression. Based on these findings, we developed a genetically engineered mouse model of advanced MEC via targeted expression of the CRTC1-MAML2 oncogene in salivary ductal cells. Specifically, CRTC1- MAML2 expression combined with p53 dysregulation in salivary ducts rewires FGF signaling …

Corrosion Mitigation And Monitoring Of Bridge Tendons And Failure Forecasting Of Wastewater Force Mains, Stanley Chike Agbakansi

USF Tampa Graduate Theses and Dissertations

Corrosion remains a significant threat to civil infrastructure, resulting in costly repairsand potential structural failures. This dissertation addresses three critical aspects of corrosion: mitigation and monitoring of post-tensioned bridge tendons, and failure forecasting of wastewater force mains due to internal corrosion.

First, the research investigates the effectiveness of corrosion inhibitors (CIs) applied via pressure injection (impregnation) in post-tensioned tendons. The protective mechanisms and long-term performance of various inhibitors were evaluated to identify the most effective formulations. Among the tested inhibitors, MCI-2020 — a water-based, migratory, mixed-type corrosion inhibitor — demonstrated the most promising results, showing excellent corrosion protection while preserving …

Re: Comment Letter For The Butte Priority Soils Operable Unit (Bpsou) Insufficiently Reclaimed Sites Josephine Shaft (Ir-37) Remedial Action Work Plan (Rawp) (Dated February 6, 2025), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

The Synthesis Of A Photo-Affinity Probe Library For The Fatty Acid Amide Proteome And The Endocannabinoid System Within, Robert E. Feeney Iii

USF Tampa Graduate Theses and Dissertations

Fatty acid amides are a large family of endogenous metabolites with significant biological activity, including that of the endocannabinoid system. Currently little is known about how this system of tightly regulated compounds works within humans. This work lays the foundation to explore the structure-activity relationship driving the selectivity of ligand-protein interactions involved with fatty acid amides. A library of activity-based proteomic profiling probes for fatty acid amides has been synthesized to this end. Additionally, progress towards phytocannabinoid probes has been made as well.