Digital Commons Network^™

A Framework For Machine Learning Surrogate Modeling In Physics-Based Reacting Flow Simulations, Jose O. Bobren-Diaz

Graduate Thesis and Dissertation post-2024

The design of next-generation combustion systems relies on computer simulations that capture the multidimensional and multiscale physics of turbulent reacting flows. These simulations are computationally intensive, requiring trade-offs to produce results within allowable time and cost constraints. These trade-offs often consist of general assumptions and modeling simplifications that approximate complex physical phenomena. Consequently, these models can limit both the accuracy and the regime of applicability to real systems since these approximations are often heuristic and inconsistent with the governing physics. Moreover, in today’s rapid design-to-prototype development phase, making timely and informed design decisions is important. This requires fast and reliable …

Advancing Heterogeneous Collaborative Perception For Autonomous Vehicles, Babak Ebrahimi Soorchaei

Graduate Thesis and Dissertation post-2024

Recent advances in computational and communication technologies have enabled deep neural networks (DNNs) and high‐speed vehicular wireless links, paving the way for cooperative perception and cognition in autonomous systems. By exchanging complementary observations, these methods overcome inherent sensor limitations, such as occlusions and restricted range, and thereby improve the detection of partially hidden targets. However, real‐world deployments face challenges from noisy measurements (e.g., GPS inaccuracies) and heterogeneous perception stacks: vehicles often rely heavily on visual detectors, yet there is no standardization ensuring uniform object‐detector architectures across a fleet.

In this dissertation, we first explore the design of a lightweight detector …

Communication-Aware Trajectory Prediction And Tracking For Connected And Autonomous Vehicles, Arash Raftari

Graduate Thesis and Dissertation post-2024

This dissertation presents a unified framework for communication-aware trajectory prediction and vehicle state tracking in connected and autonomous vehicle (CAV) systems. Unlike most deep learning–based forecasting models that assume full observability of surrounding agents, the proposed approach explicitly accounts for limited communication range, packet loss, and bandwidth constraints that characterize real vehicular networks.

A model-based, error-driven information-passing policy is introduced to extend situational awareness beyond one hop. Rather than relaying messages based on distance or freshness, each vehicle evaluates the utility of received content in reducing system-wide position tracking error (PTE). Using compact Gaussian Mixture Model (GMM) representations of motion …

Attention-Based 3d-Convolutional Neural Network Model For Mechanical Property Predictions Using, Daniel E. Traczyk

Graduate Thesis and Dissertation post-2024

Additive manufacturing (AM), while commonly used for rapid prototyping and creating components with complex geometries, has not been widely adopted for critical applications across the aerospace, automotive, defense, energy, and medical industries. This is, in part, due to the challenges of controlling flaws and uncertainty in the mechanical behavior of additively manufactured components. In recent years, there has been an increase in research aimed at predicting the final mechanical properties of additively manufactured components during the printing process. To address these issues, a 3D-CNN model was trained using low-cost in situ visible-light camera data, anomaly classifications, and the chosen process …

Better Models For Mosquito Control: Impacts On Nontarget Insects And Joint Species Distributions Of Mosquitoes, Jacob D. Hart

Graduate Thesis and Dissertation post-2024

Since its inception, mosquito control has been vital for limiting the spread of vector-borne pathogens. Modern control efforts balance the protection of public health and the prevention of environmental harm. We addressed this from two directions: the study of mosquito adulticide effects on nontarget insects, and fine scale distribution modeling of mosquitoes to better target control efforts. We first investigated the effects of ultra-low volume (ULV) pyrethroid applications on nontarget insects in Central Florida and found no statistically clear evidence of reduction in abundance or diversity. We reported a slight and statistically unclear reduction of night-flying Lepidoptera, and effective reduction …

Bridging Physiology, Data Science, And Genomics To Illuminate Photosynthetic Variation In Sunflower, Rebekah E. Davis

Graduate Thesis and Dissertation post-2024

Photosynthesis is a critical metabolic process in plants involving ‘light reactions’ that capture solar energy to produce ATP and NADPH, and ‘dark reactions’ where these molecules power the enzyme Rubisco to synthesize sugars in the Calvin-Benson cycle. These processes serve as the primary energy source for plant growth and reproduction, displaying significant variation across species and environments. In Helianthus, distinct differences in photosynthetic traits are observed between annual and perennial species. Notably, carboxylation rates, photon capture, and maximum photosynthetic rates show strong phylogenetic signal (Pagel’s λ = 0.99) and are significantly higher in annuals. Photosynthesis is modeled here as a …

Lowering The Barrier For Reading Primary Literature In Stem, Sebastian G. Alvarado, Maral Tajerian

Open Educational Resources

Building Bridges of Knowledge (BBK) is a cross‑CUNY initiative that integrates artificial intelligence (AI) and open educational resources to lower the barrier to primary literature and enhance research‑focused pedagogy. Recognizing that scientific papers are often dense and inaccessible to newcomers, we developed a suite of AI‑assisted instructional materials and activities to help students interpret complex data and methodology. A central component is the use of large language models (LLMs) and tools such as Scite.ai to provide citation‑context analytics and personalized research support. These tools allow students to filter literature by supportive, neutral, or contrasting citation statements and to troubleshoot laboratory …

Wavefront Sensing Using Nonlocal Metasurfaces, Arturo Martin Jimenez

Graduate Thesis and Dissertation post-2024

Many laser applications require wavefront control to compensate for aberrations caused by system misalignment, component fabrication errors, and propagation through inhomogeneous atmospheres. Aberrations caused by atmospheric turbulence remain particularly challenging to measure due to the temporally fluctuating wavefront distortions and large transverse phase variations in the beam. Conventional wavefront sensors, like the Schack-Hartmann (SHWS) are effective at low turbulence levels, but require relatively bulky optical elements. This thesis investigates the use of metasurface optical elements for use in wavefront sensors both in the low-turbulence limit and in deep turbulence conditions. Such metasurface-based wavefront sensors can achieve the functionality of complex …

Metasurface-Refractive Hybrid Lens Design, Ko-Han Shih

Graduate Thesis and Dissertation post-2024

Refractive optics are widely used in imaging systems while optical aberrations can limit their imaging performance and the typical solution to correct is cascading additional refractive optics with varying materials and shapes. Still, this scheme can result in bulky and costly lenses. Metasurfaces (MSs), with their compactness and ability to locally manipulate wavefronts, offer additional degrees of freedom in aberration correction. Integrating MSs with refractive optics creates MS-refractive hybrid lenses, enabling advanced optical performance while maintaining a compact design. Various methods have been proposed for designing aberration-correcting MSs in hybrid lenses, which often rely on predefined target phase profiles or …

Shoot The Messenger: Why Section 230 Does Not Shield Suggestive Content Delivery, Alexander Heinkele

Cardozo Law Review de•novo

Internet companies have frequently relied on Section 230 of the Communications Decency Act of 1996 to avoid liability for third-party content hosted on their platforms. However, over time, companies began to take advantage of the broad cover of Section 230 in circumstances outside the statute’s original scope. This Note advocates for a more nuanced interpretation of the statute as it applies to suggestive algorithms and offers a proposal for amending Section 230 to better reflect the modern digital landscape.

Principles Of Biomedical Research, Faina Linkov, Matthew C. Kostek

Open Education Materials

HLT 430/530

CC BY-NC-SA

Reframing Recovery: Comparing Music Interventions And Traditional Rehabilitation Methods For Cognitive Function In Traumatic Brain Injury Patients, Laura Velez

Honors Undergraduate Theses

Traumatic brain injury (TBI) affects millions annually, often resulting in long-term cognitive deficits that hinder independence and quality of life. While traditional rehabilitation methods address many physical and functional limitations, cognitive impairments—such as deficits in attention, memory, and executive function—often persist. Emerging evidence highlights music-based interventions as a promising complement to standard therapies, yet comparative research remains limited. This integrative literature review examined the effects of music interventions versus traditional rehabilitation methods on cognitive function in adults with TBI. Using a systematic search of databases including MEDLINE, CINAHL Ultimate, APA PsycInfo, and Music Index, eight peer-reviewed studies were selected for …

Consequences Of Artificial Intelligence In Health Insurance: Lawsuits, Policy, And Ethics, Alyssa N. Roberts

Honors Undergraduate Theses

In recent years, the healthcare system has been burdened by a multitude of obstacles that hinder the ability to provide effective, affordable, and timely care. Among these, one of the most significant challenges is the role that health insurance plays in shaping the quality of care. Health insurance companies are designed to decrease financial strain on patients, but they have introduced inefficiencies through delayed coverage approvals, increased denials, and administrative costs. Artificial intelligence (AI) has started to play an integral role in resolving these issues for the health insurance industry. Through its quick automated claim processing, fraud screening, and reduced …

Development And Pilot Of A Microgreens Project To Integrate Food Security In Grade 8 Science Using Systems Thinking, Iris Mae L. Caidic, C. K. Gonzales

Biology Faculty Publications

Among other countries, the Philippines faces the issue of food security, which must be addressed through education. However, the lack of coherence in teaching science content hinders Filipino junior high school students’ holistic understanding that science lessons are interconnected to food security. This study explores how systems thinking can be utilized to integrate food security into science topics. The pilot of the developed module on a microgreens project was implemented using systems thinking tools to tackle lessons on biodiversity, ecosystems, and the human digestive system within the context of food security. Data from end-of-scaffold check-ins, individual scaffold assessments, group performance …

The Representation Of Racially And Ethnically Diverse Students Identified With Giftedness In Third Grade In Florida, Ioanna Katsavria

Graduate Thesis and Dissertation post-2024

This study examines the proportional representation of Black, Hispanic, White, and Asian third-grade gifted students across urban and rural school districts in the U.S. state of Florida. It incorporates secondary quantitative datasets for the Fall 2023 and Spring 2024 school terms from the Florida Department of Education (FLDOE, n.d.), collected in the Fall 2024, along with qualitative data gathered in Spring 2025 from the websites of sixty-seven county-based school districts. Significant disparities among all groups of racially and ethnically diverse students were exposed through the quantitative data analysis. Notably, Black, Hispanic, and Asian students, especially in rural areas, were shown …

Enhancing The Accuracy Of Image Classification For Degenerative Brain Diseases With Cnn Ensemble Models Using Mel-Spectrograms, Sang-Ha Sung, Michael Pokojovy, Do-Young Kang, Woo-Yong Bae, Yeon-Jae Hong, Sangjin Kim

Mathematics & Statistics Faculty Publications

Alzheimer’s disease (AD) and Parkinson’s disease (PD) are prevalent neurodegenerative disorders among the elderly, leading to cognitive decline and motor impairments. As the population ages, the prevalence of these neurodegenerative disorders is increasing, providing motivation for active research in this area. However, most studies are conducted using brain imaging, with relatively few studies utilizing voice data. Using voice data offers advantages in accessibility compared to brain imaging analysis. This study introduces a novel ensemble-based classification model that utilizes Mel spectrograms and Convolutional Neural Networks (CNNs) to distinguish between healthy individuals (NM), AD, and PD patients. A total of 700 voice …

A Time-Domain Boundary Integral Equation For Moving Acoustic Sources In Uniform Flow And Its Solution By An Advanced Time Propagation Approach, Fang Q. Hu, Douglas M. Nark

Mathematics & Statistics Faculty Publications

This paper presents a time-domain boundary integral equation (TDBIE) formulation for predicting acoustic scattering from moving sources in a uniform mean flow. This work is motivated by the increasing need for accurate aeroacoustic modeling of modern aircraft configurations, including VTOL and eVTOL systems with rotating components. A key challenge in time-domain scattering simulations with moving sources is the determination of retarded time for a given observer time, which involves solving an implicit equation at each time step. This can be computationally costly, particularly for numerical solution of the TDBIE where every surface element on the scattering body acts as an …

Covariate Selection For Rna-Seq Differential Expression Analysis With Hidden Factor Adjustment, Farzana Noorzahan, Hyeongseon Jeon, Yet Nguyen

Mathematics & Statistics Faculty Publications

In RNA-seq data analysis, a primary objective is the identification of differentially expressed genes, which are genes that exhibit varying expression levels across different conditions of interest. It is widely known that hidden factors, such as batch effects, can substantially influence the differential expression analysis. Furthermore, apart from the primary factor of interest and unforeseen artifacts, an RNA-seq experiment typically contains multiple measured covariates, some of which may significantly affect gene expression levels, while others may not. Existing methods either address the covariate selection or the unknown artifacts separately. In this study, we investigate two integrated strategies, FSR_sva and SVAall_FSR, …

Developing, Designing, And Evaluating Knightly Codes: A System Of Resources Supporting Motivation Using Automated Feedback, Kyle S. Dencker

Graduate Thesis and Dissertation post-2024

Providing meaningful practice and feedback is a critical component of supporting students' learning, but it is also labor-intensive and time-consuming for instructors. This study evaluated the effectiveness of Knightly Codes, a supplemental system designed to provide automated, tiered feedback to students in an introductory, college-level Computer Science course designed to help them develop strategies to tackle real-world coding problems and maintain or improve their interest and motivation. Key design features include increasingly specific guidance as students submit multiple incorrect solutions, gamification elements including progress checks, badges, and personal and global statistics, and reflection surveys to promote self-regulated learning. A total …

Health Behavior In A Culture-Driven Society: Using Mixed Methods Research To Examine Medical Pluralism In Zimbabwe, Stephen Mhere

Graduate Thesis and Dissertation post-2024

This dissertation examined the role of cultural influences on health-seeking behaviors and healthcare choices among Zimbabweans, focusing on medical pluralism – where individuals simultaneously access traditional, faith-based, and allopathic medical systems. It applied the PEN-3 Cultural Model to examine Cultural Identity, Relationships and Expectations, and Cultural Empowerment. Using a convergent parallel mixed-methods design, data were collected via a Shona-language survey on WhatsApp. Multiple choice, closed-ended, and open-ended survey questions were texted to participants, and they responded by text or audio messages. Response data were collected from 137 study participants. Multinomial logistic regression was used for quantitative data analysis, while deductive …

Teacher Retention And The Disabilities-To-Prison Pipeline, Angela P. Mccloud-Bond

Graduate Thesis and Dissertation post-2024

There is an overrepresentation of individuals with disabilities in the criminal and juvenile justice systems. Similar to the commonly known School-to-Prison Pipeline, Christoper Mallet has coined the term the Disabilities-to-Prison Pipeline to refer to this growing problem. Research has not yet determined how individual variables at the school or district levels lead to the expansion of the Disabilities-to-Prison Pipeline. Mallot (2021) presented three possible hypotheses to explain the expansion of this phenomenon: the differential treatment hypothesis, the school failure hypothesis, and the susceptibility hypothesis. There is a significant gap in the literature that focuses specifically on the differential treatment of …

Examining The Impact African American Male Teachers Have On The Math Scores Of Underserved Students, Demetrice Thomas

Graduate Thesis and Dissertation post-2024

This study contributed to a growing body of evidence emphasizing that teacher identity profoundly influences not only how students learn but also how they perceive themselves and their potential. As Gershenson (2022) noted, “Black teachers provide benefits to all students, fostering higher achievement and stronger aspirations,” highlighting the essential role of diverse educators in shaping student success. Consistent academic gains observed among students taught by African American male teachers reinforce the urgent need for educational systems to prioritize equity not only in student outcomes but also in diversifying the teaching workforce. Despite African American male teachers comprising less than 2% …

Exploring The Role Of Geofencing, Geolocation, And Audio Descriptions In Enhancing Mobility And Inclusion For Individuals With Blindness And Visual Impairments In Museums And Indoor Spaces, Javier Enrique Molinares

Graduate Thesis and Dissertation post-2024

This dissertation explores the challenges individuals with blindness and visual impairments face in navigating cultural spaces, explicitly focusing on museums, and emphasizes the importance of inclusion. The study explores how conventional accessibility solutions can accidentally establish obstacles which restrict autonomy and diminish chances for meaningful participation. Accessibility challenges were identified through qualitative observations at the Gateway Museum, located within the Kennedy Space Center Visitor Complex in Merritt Island, Florida. Additionally, interviews and a participatory co-design methodology involving five participants with blindness and visual impairments were conducted. These methods led to the development of a mobility application that combines geolocation technology, …

Screen Time On Stage: The Effect Of Internet And The Smartphone On The Actor, Nathan A. Olmeda

Graduate Thesis and Dissertation post-2024

This thesis examines the potential link between an actor’s cell phone use and their work in the rehearsal process. Using Paula Thomson and S. Victoria Jaque’s Creativity and the Performing Artist and Nichola Carr’s The Shallows: What the Internet Is Doing To Our Brains, I analyze the neural networks of the brain that are engaged in acting and their functions to develop a greater understanding of their association to behaviors and emotional responses that may impact the actor in the rehearsal/performance space. Furthermore, I investigate the emergence of smartphone use within the cultural zeitgeist and its effect on the …

Mat 1320g : Mathematical Modeling, Mathematics And Computer Science

Approved Course Proposals

No abstract provided.

Movement And Activity Of Burbot, (Mizay; Lota Lota) In A Spring-Fed Minnesota Lake, Abigail M. Fountain

Biology Graduate Theses

Burbot (Mizay; Lota lota) are a relatively unmanaged freshwater fish, important in many local Indigenous cultures, but often overlooked or maltreated in research, conservation, and fishing practices. As such, relatively little research has been conducted on Burbot, despite ecological significance as an indicator species. A recent resurgence in popularity as a target species, however, has prompted new research to inform management policies. The objectives of this study were to summarize Burbot movement by identifying patterns in swimming activity and identify possible predictors of the movement observed. This study investigated the movements of 39 individuals implanted with acoustic transmitters in Bad …

Range Safety And Design For Launch, Space Dynamics Laboratory

Space Dynamics Laboratory Publications

Design to make licensing and launch easy

• Sometimes the most innovative or elegant solution isn’t the best one
• The less you have to prove, the better
• Don’t use novel materials
• Don’t use novel methods

Example: 3D printing is cool and reduces part count because you can design otherwise unmachinable parts

• Now you have to test, analyze, and prove to everyone that your part won’t fail
• If you machined the parts from AL 6061-T6 and bolted them together with stainless steel fasteners, nobody would have looked twice

Documenting Teaching Excellence, Karin Dejonge-Kannan, Travis N. Thurston, Amanda Deliman, Amanda Morris, Anna Kuthy, Anne Cook, Beth Buyserie, Bethany B. Stone, Caroline Wienhold, Casandra E. Harper, Chris Kilgore, Cynthia Korpan, Elisabeth Schussler, Ferlin Mcgaskey, Gabrielle Stecher Woodward, Hannah Mae Lewis, James Agutter, Janette R. Hill, Jeff Spears, Jim Lamuth, Jordan Shipley, Kate Tregloan, Kim Hales, Letizia Guglielmo, Melissa E. Ko, Micael Morrone, Miranda Yaggi Rodak, Peggy Brickman, Raoul A. Mulder, Shannon M. Sipes, Sharon Lyman, Shihua Brazill, Stephen A. Klien, T. Adam Halstrom, Terri A. Dunbar, Victoria Mondelli, Vijay R. Kannan, Virginia Stormer

Documenting Teaching Excellence

Before we embark on a brief overview of how the book is structured and what it contains, we wish to draw readers’ attention to the sculpture on the cover of this book, and to the word “vital” in the subtitle of this book.

Open Educational Resources For And As Assessment, Eliana Elkhoury, Jako Olivier, Travis N. Thurston, Morgan Barker, Steven Clontz, Will Cross, Michael Tadeusz Dabrowski, Teresa Focarile, Hillary Fox, Angela George, Sharona Krinsky, Drew Lewis, Erin Mckenney, Lauren Mcmillan, Nalanda Roy, Zoë Soon, James Thibeault, David Tully, Lydia Watson, Sam Winemiller

Open Educational Resources For and As Assessment

The need to rethink assessment in higher education has become increasingly urgent due to the shift to remote teaching during the COVID-19 pandemic and the recent introduction of various generative artificial intelligence (GenAI) tools. Globally, instructors are called to redesign their assessment practices to make them more innovative, authentic, and empowering.

Perceptions Of Artificial Intelligence Use To Enhance Feedback For Preservice Teachers During Field Experiences, Betsy Schamber

Dissertations and Theses

University supervisors (USs) play a key role in providing feedback for preservice teachers (PSTs). Although artificial intelligence (AI)’s use in providing feedback in educational settings had been explored, its use for feedback for PSTs’ field experience remained unknown. The first case study herein explores PSTs’ perceptions of AI-assisted feedback for field experiences. Findings highlighted PSTs’ perceptions of AI as a catalyst for new idea generation. While AI provided a starting point, the ending output still needed to reflect PSTs’ personalities. Similarly, PSTs valued the human element of feedback, noting how USs’ lived experiences provided an added value. In K–12 classrooms, …