A Survey And Evaluation Of Android-Based Malware Evasion Techniques And Detection Frameworks, Parvez Faruki, Rhati Bhan, Vinesh Jain, Sajal Bhatia, Nour El Madhoun, Rajendra Pamula

School of Computer Science & Engineering Faculty Publications

Android platform security is an active area of research where malware detection techniques continuously evolve to identify novel malware and improve the timely and accurate detection of existing malware. Adversaries are constantly in charge of employing innovative techniques to avoid or prolong malware detection effectively. Past studies have shown that malware detection systems are susceptible to evasion attacks where adversaries can successfully bypass the existing security defenses and deliver the malware to the target system without being detected. The evolution of escape-resistant systems is an open research problem. This paper presents a detailed taxonomy and evaluation of Android-based malware evasion …

A Survey And Evaluation Of Android-Based Malware Evasion Techniques And Detection Frameworks, Parvez Faruki, Rhati Bhan, Vinesh Jain, Sajal Bhatia, Nour El Madhoun, Rajendra Pamula

School of Computer Science & Engineering Faculty Publications

Android platform security is an active area of research where malware detection techniques continuously evolve to identify novel malware and improve the timely and accurate detection of existing malware. Adversaries are constantly in charge of employing innovative techniques to avoid or prolong malware detection effectively. Past studies have shown that malware detection systems are susceptible to evasion attacks where adversaries can successfully bypass the existing security defenses and deliver the malware to the target system without being detected. The evolution of escape-resistant systems is an open research problem. This paper presents a detailed taxonomy and evaluation of Android-based malware evasion …

E-Learning Course Recommender System Using Collaborative Filtering Models, Kalyan Kumar Jena, Sourav Kumar Bhoi, Tushar Kanta Malik, Kshira Sagar Sahoo, N. Z. Jhanjhi, Sajal Bhatia, Fathi Amsaad

School of Computer Science & Engineering Faculty Publications

e-Learning is a sought-after option for learners during pandemic situations. In e-Learning platforms, there are many courses available, and the user needs to select the best option for them. Thus, recommender systems play an important role to provide better automation services to users in making course choices. It makes recommendations for users in selecting the desired option based on their preferences. This system can use machine intelligence (MI)-based techniques to carry out the recommendation mechanism. Based on the preferences and history, this system is able to know what the users like most. In this work, a recommender system is proposed …

To The Moon: Strategic Competition In The Cislunar Region, Shawn M. Willis

Faculty Publications

China’s advancing space capabilities, particularly in the cislunar region, call for increased cislunar space domain awareness on the part of the United States. US military and civilian decisionmakers must take into account the full scope of China’s cislunar plans and capabilities as the military builds space strategies and future force designs. The United States must also increase near-term investments that support more robust cislunar space domain awareness.

Vcu Job Shadowing, Austin Adam, Nora Bloch, Sue Kurgatt, Ezrah Medina, Erin Pacelli, Rebecca Segal, Stephanie Thulin

GEHLI - 2026 VCUL Team Project Publications

Job shadowing is an initiative aimed at bolstering students' career preparedness through an immersive exploration of the multifaceted landscape of career opportunities within higher education. By facilitating these experiential learning opportunities, this program endeavors to achieve a twofold objective. Firstly, it seeks to enhance the student experience at Virginia Commonwealth University (VCU) by cultivating meaningful interactions between students and VCU's typically non-student-facing staff and faculty members. Secondly, by facilitating direct engagement with our students, it is our aspiration that every member of the VCU community, regardless of their traditional roles, will have the opportunity to support our students' personal and …

Multicopter Drone Mass Distribution Impacts On Viability, Performance, And Sustainability, Miguel Figliozzi

Civil and Environmental Engineering Faculty Publications and Presentations

This short communication highlights the value of drone mass and its distribution, a topic that despite its importance has received scant attention in the rapidly growing drone literature. In particular, the focus is on the impact of mass distribution on drone viability, performance, and sustainability.

A Predator-Prey Biological Model With Combined Birth Rates, Self-Limitation And Competition Terms, Joon Hyuk Kang, Lucinda Ford

Faculty Publications

The purpose of this paper is to give sufficient conditions for the existence and uniqueness of positive solutions to a rather general type of elliptic system of the Dirichlet problem on a bounded domain Ω in Rn. Also considered are the effects of perturbations on the coexistence state and uniqueness. The techniques used in this paper are super-sub solutions method, eigenvalues of operators, maximum principles, spectrum estimates, inverse function theory, and general elliptic theory. The arguments also rely on some detailed properties for the solution of logistic equations. These results yield an algebraically computable criterion for the positive coexistence of …

The Mediating Effect Of The Covid-19 Pandemic On The Relationship Between Technology And Organizational Performance: Evidence From Ghana Banking Industry, Manaseh Tsekpo, Williams Kwasi Peprah

Faculty Publications

This study aimed to investigate the mediating effect of the COVID-19 pandemic on the relationship between technology and organizational performance, using evidence from the Ghana banking industry. The study adopted a correlation and mediation research design, with 232 respondents conveniently sampled from eight indigenous Ghanaian Banks. The data were analyzed using correlation, regression, and mediation techniques. The results show that technology serves as a catalyst for improving organizational performance and alleviating the negative effects of COVID-19 on organizational performance. The findings also revealed that the COVID-19 pandemic highly mediates technology and organizational performance with a significant positive relationship between technology …

Atmospheric Meteorological Effects On Forecasting Daily Lightning Occurrence At Cape Canaveral Space Force Station, Jon Saul, Torrey J. Wagner, Eric G. Mbonimpa, Brent T. Langhals

Faculty Publications

As the Cape Canaveral Space Force Station and Kennedy Space Center increase their launch rate, any process that could assist in the automation of the currently-manual lightning forecast would be valuable. This work examines the possibility of machine-learning assistance with the daily lighting forecast which is produced by the 45th Weather Squadron. A dataset consisting of 34 lightning, pressure, temperature and windspeed measurements taken from 334 daily weather balloon (rawinsonde) launches in the timeframe 2012-2021 was examined. Models were created using recursive feature elimination on logistic regression and XGClassifier algorithms, as well as Bayesian and bandit optimization of neural network …

Machine Learning Prediction Of Dod Personal Property Shipment Costs, Tiffany Tucker, Torrey J. Wagner, Paul Auclair, Brent T. Langhals

Faculty Publications

U.S. Department of Defense (DoD) personal property moves account for 15% of all domestic and international moves - accurate prediction of their cost could draw attention to outlier shipments and improve budget planning. In this work 136,140 shipments between 13 personal property shipment hubs from April 2022 through March 2023 with a total cost of $1.6B were analyzed. Shipment cost was predicted using recursive feature elimination on linear regression and XGBoost algorithms, as well as through neural network hyperparameter sweeps. Modeling was repeated after removing 28 features related to shipment hub location and branch of service to examine their influence …

Big Ideas, Small Data: Opportunities And Challenges For Data Science And The Social Services Sector, Gerri Dimas, Lauri Goldkind, Renata Konrad

Social Service Faculty Publications

The social services sector, comprised of a constellation of programs meeting critical human needs, lacks the resources and infrastructure to implement data science tools. As the use of data science continues to expand, it has been accom- panied by a rise in interest and commitment to using these tools for social good. This commentary examines overlooked, and under-researched limitations of data science applications in the social sector—the volume, quality, and context of the available data that currently exists in social service systems require unique considerations. We explore how the presence of small data within the social service contexts can result …

The Behavior Of Partially Coherent Twisted Space-Time Beams In Atmospheric Turbulence, Milo W. Hyde Iv

Faculty Publications

We study how atmospheric turbulence affects twisted space-time beams, which are non-stationary random optical fields whose space and time dimensions are coupled with a stochastic twist. Applying the extended Huygens–Fresnel principle, we derive the mutual coherence function of a twisted space-time beam after propagating a distance z through atmospheric turbulence of arbitrary strength. We specialize the result to derive the ensemble-averaged irradiance and discuss how turbulence affects the beam’s spatial size, pulse width, and space-time twist. Lastly, we generate, in simulation, twisted space-time beam field realizations and propagate them through atmospheric phase screens to validate our analysis.

A Case Study On Implementation And Teacher Perceptions Of A Systematic Multi-Tiered System Of Support (Mtss) Model Within A Suburban Midwestern School District, Christine Breen

Theses and Dissertations

Disproportionate representation of African American students in Federal Setting III special education programming as well as disproportionate disciplinary removals of this same population were in part the catalyst for the Suburban Midwestern School District to implement a systematic Multi-Tiered System of Support (MTSS) framework district wide to ensure the district was meeting the needs of all learners. The researcher utilized the Suburban Midwestern School District as a case study to investigate how systematic and consistent implementation of a MTSS can reduce disproportionate identification, evaluation, and representation of subgroups within special education and simultaneously studied the perceptions of staff implementing the …

Obtaining The Transfer Function Of A Camera Mount Using Ansys And Matlab, Ikechukwu Stanley Nwade

Theses and Dissertations

In this thesis, the transfer function of a camera mount is obtained using ANSYS and MATLAB. In a heads-up display (HUD) application, achieving precise image registration requires careful consideration of the camera's position relative to the vehicle. Vibrations can alter the camera's position, with tilt being the most impactful due to its increased displacement effect as objects are further away. This research tackles vibration by predicting the position of the camera using transfer function. To determine the transfer function for complex structures, such as camera mounts, this study aims to first establish a transfer function for a simpler model, like …

Making The Grade: Do Teacher-Created Grading Systems Result In Disparate Outcomes For High School Students?, Laura L. Mayberry

UNF Graduate Theses and Dissertations

The lack of formal grading policies within individual schools and school districts results in differential grading across classrooms. In many secondary schools, an individual course may be taught by multiple teachers. This study aimed to determine if the existence of differential grading results in disparate outcomes for students based on their assigned teacher. Data about students (demographics, teacher-issued grades, and standardized test scores) was collected from four core content classes at one high school. Regression analysis was used to isolate the impact of students’ assigned teacher on their course grade after controlling for demographics and academic performance as measured by …

Investigations Into The Electronic And Magnetic Properties Of (Crps4)N Layers, Alexandria R. Alcantara

UNF Graduate Theses and Dissertations

2D magnetic semiconductors have become of interest due to their magneto-optical effects in lower dimensionality. More specifically, CrPS4 has gained renewed attention due to its A-type AFM order and air stability prompting analysis and stability studies in its layered forms for use in scalable technology such as spintronic and optoelectronic devices. In this study, we benchmark our approach using the SCAN meta-GGA functional used without U-parameterization on bulk CrPS4 to demonstrate the accuracy of our methodology to use as tools to go beyond current CrPS4 theoretical studies. We examine the 2D electronic nature and optical spectrum for use in experimental …

The Lie Algebra Sl2(C) And Krawtchouk Polynomials, Nkosi Alexander

UNF Graduate Theses and Dissertations

The Lie algebra L = sl2(C) consists of the 2 × 2 complex matrices that have trace zero, together with the Lie bracket [y, z] = yz − zy. In this thesis we study a relationship between L and Krawtchouk polynomials. We consider a type of element in L said to be normalized semisimple. Let a, a^∗ be normalized semisimple elements that generate L. We show that a, a^∗ satisfy a pair of relations, called the Askey-Wilson relations. For a positive integer N, we consider an (N + 1)-dimensional irreducible L-module V consisting of the homogeneous polynomials in two variables …

Breast Density Classification Using Deep Learning, Conrad Thomas Testagrose

UNF Graduate Theses and Dissertations

Breast density screenings are an accepted means to determine a patient's predisposed risk of breast cancer development. Although the direct correlation is not fully understood, breast cancer risk increases with higher levels of mammographic breast density. Radiologists visually assess a patient's breast density using mammogram images and assign a density score based on four breast density categories outlined by the Breast Imaging and Reporting Data Systems (BI-RADS). There have been efforts to develop automated tools that assist radiologists with increasing workloads and to help reduce the intra- and inter-rater variability between radiologists. In this thesis, I explored two deep-learning-based approaches …

A New Mindset: The Effects Of A Strategic Mindset On Women Under Stereotype Threat, Jessica A. Mckay

UNF Graduate Theses and Dissertations

Women completing math tasks under stereotype threat underperform and experience increased negative outcomes compared to women under no threat and men. While previous interventions for stereotype threat focus on self-affirmation or role models as a means to reduce the effects of stereotype threat, the current study examines whether using a strategic mindset to increase self-reflection mitigates the negative effects of stereotype threat on women in math. Undergraduate women (N=149) were randomly assigned to read an article about the benefits of having a strategic mindset or taking cold showers. Participants were then randomly assigned to a stereotype threat condition (women perform …

Apparent Contours For Piecewise Smooth Surfaces, Sarah Marie Jackman

UNF Graduate Theses and Dissertations

The set of points on an embedded surface $M$ that are tangent to a set viewing direction $\mathbf{v}$ is called the contour generator of $M$. The projection of those points to an image plane is called a surface's apparent contour. Apparent contours hold certain properties that allow for reconstruction of the original surface using only the information of the apparent contour. In this paper, we explore the structure of the apparent contour through contact classes and singularity types. Additionally we examine the properties of apparent contours that allow for 3 dimensional reconstruction. Our goal is to extend the properties of …

Thermal Temperatures And Social Network Position In Bonobos, Dain Rust

UNF Graduate Theses and Dissertations

In a variety of species, the maintenance of stable social connections is associated with lower levels of stress in individuals. Understanding how physiological stress responses interact reciprocally with social connections in bonobos, humans closest living relative, can provide useful information about both the emergence of social connections in our own species, as well as provide guidance for animal welfare procedures. Infrared thermography (IRT) has been shown to be a reliable non-invasive measure of stress response in some species, specifically non-human primates. The current study examines the relationship between baseline facial temperatures, social network position, and demographic variables in a population …

Exploring Mottness And Electronic Order In Strongly Correlated Vanadate Thin Films, Nathan Bairen

UNF Graduate Theses and Dissertations

Mott insulators provide a window into some of the most intensely investigated phenomena in physics. Recent discoveries—including the emergence of high-temperature superconductivity in doped Mott insulators not from the cuprate family of superconductors—have inspired investigation into systems with strong electron-electron interactions. One of these systems is La_1-xSr_xVO₃, in which one end-member, LaVO₃, is a Mott insulator and the other, SrVO_3, is a strongly correlated metal.

Herein, we detail two studies regarding this system. In our oxidation study, we optimized the growth parameters for LaVO_3, finding that the ultra-high vacuum technique …

Examining Predictors Of Academic Success Among Stem And Non-Stem College Students, Sydney C. Barrett

UNF Graduate Theses and Dissertations

Nationally, approximately 40% of students drop out of college, with one third of all college freshman dropping out before they enter their second year (Hanson, 2021). Previous research (van der Zanden et al., 2018) has examined predictors of student success that range from institutional variables (e.g., policies, academic supports) to student characteristics (e.g., academic preparation, emotional well-being, motivation, self-evaluation). The primary goal of the present research was to add more insight into the variables that might affect academic success by examining differences in college students’ implicit theories of intelligence, achievement goals, academic self-concept, and academic success at two different levels …

Teaching Black Elementary Students: The Influence Of Experiences And Teacher Preparation For Pwi And Hbcu Interns On Their Understanding Of And Self-Efficacy For Culturally Responsive Teaching, Jeania N. Jones

UNF Graduate Theses and Dissertations

Teacher preparation program agendas include culturally responsive teaching (CRT) due to the student diversity in modern elementary classrooms. Overwhelmingly, White, middle-class English-speaking women who may not completely understand their students' cultural backgrounds are teachers in those culturally diverse classrooms. In schools where Eurocentric values, assumptions, beliefs, and methodologies are being taught, many students of color are not performing well academically. Black teachers and teachers with a good understanding of students' cultural experiences and backgrounds have higher expectations and counter the racial stereotypes about Black students. This multiple case study examined how two teacher interns understand Culturally Responsive Teaching (CRT) and …

Running The Gauntlet: Barriers For Black Women Academics In Higher Education Research Productivity, Crishana Dionne Benton

UNF Graduate Theses and Dissertations

Internationally, research productivity bears significance for an institution’s reputation and overall research ranking. Many previous efforts surrounding faculty issues have focused on individual faculty research productivity. This study reimagined the definition of productivity as an academic’s impact on scholarly research, evidenced by their h-index.

At the same time, the need for diversity of faculty populations is becoming more urgent, even in a time when the number of tenure-earning faculty positions is diminishing and those which remain are occupied mainly by white men. To add to the disparities, it is reported that only 4% of full-time faculty are Black women. Black …

Ovulation Prediction Using Random Forest Algorithm On Physiological Data, Kimberly D. Laynes

UNF Graduate Theses and Dissertations

Human infertility rates are on the rise -- studies have shown that one in every four women have trouble conceiving and every year those rates are rising [Halleran22]. This trend motivates procedures such as in-vitro fertilization (IVF) and intrauterine insemination (IUI) to produce a pregnancy. Such procedures are not only intricate and expensive but also carry potential unintended consequences for women's physical and mental well-being. A more profound comprehension of the menstrual cycle and its multiple phases, particularly detecting the ovulation period itself, promotes optimized treatment outcomes and reduces associated risks. To facilitate ovulation detection, new sensing technologies built into …

Shaping Teachers’ Behavioral Intentions To Use Dgbl: Understanding The Key Insights Teachers Garner From A Research-Based Dgbl Professional Development Design, Nadine Ebri

UNF Graduate Theses and Dissertations

This study aims to explore the key insights teachers garner from a research-based Digital Game-Based Learning (DGBL) professional development (PD) workshop and how their garnered insights shape their behavioral intentions to use DGBL in their future teaching practices. By gaining a deeper understanding of these areas, this study aims to enhance the effectiveness of professional development workshops for DGBL, and in turn, improve DGBL implementation in the classroom setting.

DGBL, which integrates digital games into education, has gained attention for its potential to engage and motivate students while enhancing learning outcomes. However, limited focus on DGBL professional development …

Automated Short-Answer Grading And Misconception Detection Using Large Language Models, Nazmul H. Kazi

UNF Graduate Theses and Dissertations

As education technology continues to evolve, the domains of Automatic Short-Answer Grading (ASAG) and Automated Misconception Detection (AMD) stand at the forefront of innovative approaches to educational assessment. We explore the transformative potential of Large Language Models (LLMs) in revolutionizing these critical areas. Leveraging the remarkable capabilities of LLMs in semantic inference, contextual understanding, and transfer learning, we embark on a comprehensive journey to enhance both ASAG and AMD. On ASAG, we illuminate the efficacy of transfer learning by fine-tuning RoBERTa Large, a state-of-the-art LLM, on task-related corpora, e.g. the Multi-Genre Natural Language Inference (MNLI) corpus. The model's adaptability across …

Development Of High Kinetic Inductance Superconducting Nanowire Devices On High Permittivity Strontium Titanate Substrates, Jamie Timmons

UNF Graduate Theses and Dissertations

This thesis involves the fabrication and characterization of devices made from two different superconducting materials: yttrium barium copper oxide (YBCO), a high-TC complex oxide, and niobium nitride (NbN), a low-TC transition metal nitride. Both types of devices are fabricated on strontium titanate substrates, which provides a good lattice match to YBCO and also an extremely large permittivity at low temperature. We demonstrate that wet etching of YBCO thin films via bromine can be a viable microfrabriation technique for the material. Using approximately 35 nm thick epitaxially grown YBCO on an STO substrate, we were able to fabricate YBCO “microwires” with …

Lessons Learned From The Pandemic: Syracuse University Women Embraced The Online Pivot In Leadership Education, Michele G. Wheatly, Lavonda N. Reed, Marie Garland, Candace C. Jackson

Articles

Women are underrepresented in higher education leadership. Many institutions offer women-only programs to bridge the gap to career advancement. COVID-19 has compounded existing gender inequities and raised concern about long-term setbacks for women. Recognizing the need to equip women to enter the postpandemic talent pool, a Women in Leadership program at Syracuse University rapidly pivoted to online delivery in the 2020–2021 academic year. The current paper reports dramatic increases in offerings, quality, and participation during the online pivot compared to in-person programming the preceding year. The pivot broadened access to women and strengthened their networks for career advancement. Integrated programming …