Digital Commons Network^™

Associations Between Feed Efficiency And Feeding Behavior In Yearling Angus Bulls In A Competitive Environment, Amelia Katz

Master's Theses

Feed efficiency in beef cattle is a complex trait shaped by physiological, behavioral, and social factors that influence how animals access and utilize feed resources. This study examined feed efficiency classification and how it is influenced by feeding behavior, competitive interactions, and bunk approach patterns in yearling Angus bulls housed in a drylot over two years. Bulls were grouped into high and low feed efficiency categories using residual feed intake and feed conversion ratio within pen and year (n = 40 per year; n = 40 per treatment). Continuous electronic monitoring quantified feeder visitation, feeding duration, intake, and rate. A …

Serum Concentrations Of Inflammatory Markers And Selected Nutrient Metabolites In Holstein And Jersey Cows Across The Transition Period, Avery Orr

Master's Theses

The transition period, spanning the weeks surrounding parturition, requires dairy cows to undergo synchronized metabolic, endocrine, and immunological adjustments that support the onset of lactation but also heighten disease susceptibility. Although individual inflammatory or metabolic biomarkers have been extensively studied, the integrated immunometabolic dynamics that occur across this period and the difference between breeds is not fully understood. The objective of this study was to characterize longitudinal patterns in key nutrient metabolites and inflammatory markers in Holstein and Jersey cows and assess how these systems interact across the transition period.

A total of 63 Holstein and Jersey cows were sampled …

Academic Senate - Agenda, 11/18/2025, Academic Senate

Academic Senate Agendas

No abstract provided.

Executive Committee - Agenda, 11/04/2025, Academic Senate

Academic Senate Agendas

No abstract provided.

Towards Automated And Explainable Insider Threat Response In Electronic Health Records: A Role-Aware Machine Learning Framework, Luca Lippi Ornstil

Master's Theses

Healthcare remains a prime target for cyberattacks, with insider misuse and credential compromise posing major risks to Electronic Health Records (EHRs). This thesis introduces a role-aware, explainable anomaly detection and response framework integrated with OpenEMR to address post-authentication threats. Four models—Local Outlier Factor (LOF), Isolation Forest, Autoencoder, and Graph Neural Network (GNN)—detect behavioral deviations across temporal, device, and role-based features, with LOF serving as the primary runtime detector. A configurable policy engine maps anomaly severity to proportional actions, from email alerts to read-only restrictions or account suspension, all reversible and auditable. Evaluation on real EHR logs shows the system’s operational …

Choose: Helping Young Adults Make Confident Decisions, Caitlin J. Lee

Graphic Communication

This senior project is called Choose, a prototype decision-making app designed to help young adults make quicker, more confident choices by offering three evidence-based decision methods: random choice, friend delegation, and structured pros and cons lists. Informed by research on decision fatigue, cognitive load, and user-centered design, the app addresses everyday and high-stakes decisions by tailoring each method to its most effective context. The development process included literature review, competitive analysis, style exploration, iterative sketching, and Figma prototyping, as well as incorporating user feedback to refine usability and feature relevance. The resulting high-fidelity prototype demonstrates how multi-method decision support, …

Academic Senate - Agenda, 10/28/2025, Academic Senate

Academic Senate Agendas

No abstract provided.

Academic Senate - Minutes, 10/28/2025, Academic Senate

Academic Senate Minutes

No abstract provided.

Executive Committee - Agenda, 10/21/2025, Academic Senate

Academic Senate Agendas

No abstract provided.

Executive Committee - Minutes, 10/21/2025, Academic Senate

Academic Senate Minutes

No abstract provided.

Teaching About Abortion Access With Charley The Chatbot, Laura E. Willis, Kim O'Neill, Nicole Cushman

Feminist Pedagogy

Following the Dobbs v. Jackson Women's Health Organization (2022) decision which countermanded federal abortion protections, artificial intelligence (AI) can be used to identify, monitor, and track people seeking medical treatment. The teaching activity presented here asks students to consider data privacy concerns and the role of AI in seeking abortion care, before introducing them to Charley the Chatbot, an AI interface designed to protect and inform abortion seekers. Students interact with the chatbot based on a series of fictional vignettes about abortion seekers in various stages of pregnancy and geographic locations. Following a peer discussions, students examine both how restrictive …

Embracing Uncertainty And Resisting Suspicion In The Faculty-Student Relationship, Natalia Rybas

Feminist Pedagogy

This critical essay discusses the suspicion and distrust appearing when educators think that students can (mis)use generative AI tools. The essay argues that education is rife with relations of inequality, reminds us that technologies are never neutral, and explores using uncertainty as a method of resistance to suspicion about students. The suspicion grows from the relations embedded in higher education because power, privilege, and oppression shape the experience of teaching and learning. Technological innovations, such as AI, carry power relations embedded in their designs and assumed uses, making all participants of the learning process vulnerable and disrupting the process itself. …

Towards An Ecofeminist Pedagogy: The Environmental Ethics Of Ai, Jessica K. Crowell

Feminist Pedagogy

Previous scholarship has outlined some of the ethical considerations regarding the use of artificial intelligence (AI) in the classroom and beyond, such as the potentials for plagiarism, information bias, disinformation, or even violations of user privacy. Though research suggests that machine learning is a major and ever-increasing contributor to carbon emissions, there has been little discussion of how we teach about the ethics of AI from an environmental perspective. Therefore, this critical commentary first outlines how an ecofeminist pedagogy can help students consider the environmental and ecological effects of new technologies, including AI. At its core, an ecofeminist pedagogy argues …

Teaching Oppositional Resistance To The Weaponization Of Artificial Intelligence In Acts Of Gendered Violence, Lili R. Romann, Elizab​Eth A. Hintz

Feminist Pedagogy

Meeting the aims of this special issue to take a uniquely feminist approach to understanding AI in higher education, we offer a critical commentary to help other scholars apply a critical feminist lens when teaching about the promise of artificial intelligence in the classroom. Specifically, we center pornographic deepfakes as a primal, contemporary, and disastrous example of the gendered weaponization of artificial intelligence. This critical commentary has staying power – equipping future teachers with feminist tools to tackle AI (as well as the inevitable future of AI to come) in pedagogical practice.

Evaluating Machine-Learning Models For Drone-Based Image Analysis Of Coastal Ecosystem Dynamics, Katharine Mcdaniel, Pragati Toppo

College of Engineering Summer Undergraduate Research Program

Previous work from our group utilized drone-based images and a novel machine learning classification model to quickly and accurately quantify spatial variability in eelgrass in Morro Bay. In this SURP project we aim to develop and evaluate quantifiable estimates of the model’s prediction uncertainty. Our model produces a binary labeling indicating the presence or absence of eelgrass at each pixel. However, internally the model produces a probabilistic output indicating the likelihood of detection at each pixel that we propose to use to produce uncertainty estimates and a confidence interval for the cumulative extent of eelgrass detected. This would allow for …

Stretchable Mechanoluminescent Devices For Energy Harvesting And Real-Time Force Sensing, Lucas Taliaferro, Phoebe Ong

College of Engineering Summer Undergraduate Research Program

Our group has been developing a novel manufacturing technique to fabricate flexible sensing devices using electrostatic force. Previously, we focused on utilizing nanomaterials as the sensing materials to measure strains. Building on our experience with the manufacturing technique, we will move forward to incorporate other smart materials in the flexible device to achieve self-powered sensors. Besides, to better understand the fabricated material properties, we are interested in characterizing the microstructural behavior of the material networks via microscopic imaging and finite element simulations. The students will have the opportunity to closely work with Dr. Wang’s interdisciplinary research group.

Designing For Maintainability, Kyle Marshall

College of Engineering Summer Undergraduate Research Program

This research focuses on creating an experiment to measure performance of an aircraft propeller on a specially designed stand. Results from the wind tunnel experiments measuring thrust, rotation speed and torque will enable students to create a database of propeller characteristics for use in aircraft design projects. Students in aerospace engineering are regularly assigned design projects powered by turboprop or propeller driven engines. There is not an easy way to verify design performance other than simplistic calculations or extrapolation of open-source wind tunnel data, and not a lot of data is available. Being able to correlate actual test data from …

Hands-On Vs. Critical-Thinking Labs And Engineering Pathways: A Gender-Comparative Analysis, Stacey Rodas Duarte

College of Engineering Summer Undergraduate Research Program

The purpose of this study is to compare short-term changes in students’ interest in engineering following two instructional formats: a hands-on lab activity (metal casting) and a critical thinking based lecture/lab (bmed). Using pre and post lab surveys, we evaluated changes in student engagement, confidence, and perceptions of engineering as a potential career. We also examined whether these patterns varied by gender among middle and high school students.

Integrating Mobility Dynamics Into Facility Location Modeling And Optimization, Daniel Hopkins

College of Engineering Summer Undergraduate Research Program

Facility location optimization is a foundational area in operations research and data analytics that is concerned with determining the optimal placement of facilities to serve a spatially distributed demand. However, traditional facility location decision is often approached from a centralized perspective, where the facility planner dictates the allocation of customers to facilities. In this setting, it is typically assumed that customers patronize the nearest facility, and their preferences are not explicitly modeled. This traditional decision-making framework may not accurately reflect real-world dynamics where customers may choose facilities based on a variety of factors beyond proximity. Thus, this project aims to …

Supporting Migrant Education Program Students, Yaneli Cruz

College of Engineering Summer Undergraduate Research Program

This project explored the impact of the EPIC engineering camp on Migrant Education Program (MEP) participants, a group often academically disadvantaged due to frequent moves, limited resources, and lack of encouragement to pursue higher education. Because no new IRB-approved data could be collected during camp, pre- and post-camp surveys that students had already completed were analyzed. I converted the data into CSV files, built SQL tables, and wrote a Python script to automate the process of filtering and comparing MEP students, Session 1, with non-MEP peers. Results showed that 28% of MEP students started camp unsure about engineering, but 11% …

Leveraging Smartphones For Balance Assessment, Kelly Graham

College of Engineering Summer Undergraduate Research Program

Assessment of human balance provides valuable metrics to track the health, development, and fall risk of individuals. The prominent method for objective balance assessments has used force plates to track the center of pressure (COP) position as a participant attempts to balance during varying tasks. However, the use of force plates is limited by the cost of equipment and expertise required, leading to recent interest in using embedded inertial measurement units (IMUs) in mobile devices instead. Many researchers have explored placing mobile devices close to the subject’s center of mass (COM) to approximate the subject’s COM acceleration and using the …

Sustainable Development Of Sensing Materials For Structural Health Monitoring, Nat Conti, Matthew Robinson

College of Engineering Summer Undergraduate Research Program

Sensing technologies play significant roles in structural health monitoring (SHM) systems for monitoring and assessing structural conditions in real-time, which can enhance the safety and reliability of various structures. While engineered nanomaterial (ENM)-based sensors have remarkable potential to transform conventional sensing devices, large volume of ENMs released into the environment can significantly jeopardize the environment and public health. Thus, there is a pressing need to develop next-generation sensing materials in a more eco-friendly and sustainable manner. The goal of this interdisciplinary proposal is to sustainably develop sensing nanocomposites for monitoring structural damage by re-using waste materials as nano-/micro-scale functional material …

Investigating Engineering Students Responses To Failure, Denis Gonzalez-Reyes

College of Engineering Summer Undergraduate Research Program

Learning from failure is an essential component of both learning and practicing engineering. However, failure is often stigmatized and avoided in engineering education. This project aims to better understand how to support students throughout their engineering education to help them learn from their failures, rather than become frustrated or discouraged by them. The project will build on prior research in students’ responses to failure experiences to specifically analyze students who respond to failure in different ways and build on these experiences to help students in similar situations. During the SURP project, the student will use qualitative methods to analyze interview …

Executive Committee - Minutes, 09/30/2025, Academic Senate

Academic Senate Minutes

No abstract provided.

Executive Committee - Agenda, 09/30/2025, Academic Senate

Academic Senate Agendas

No abstract provided.

Executive Committee - Minutes, 09/23/2025, Academic Senate

Academic Senate Minutes

No abstract provided.

Executive Committee - Agenda, 09/23/2025, Academic Senate

Academic Senate Agendas

No abstract provided.

Impact Of Composite Materials Research On Underrepresented Communities, Neil Mahesh Bedagkar, Ramanan Sritharan, Wyatt Barnes

Mechanical Engineering

This research assesses how advancements in composites material research affect communities from lower socioeconomic backgrounds, using a dual track strategy to quantitatively and qualitatively examine their impact. A keyword-based classification algorithm was applied to a sample of research papers from ScienceDirect spanning the last 24 years to quantify which engineering industries benefit most from this research. The findings indicate that the construction industry benefits the most, followed by the automotive, defense, renewable energy, and biomedical sectors. A broader qualitative analysis of the social implications of these industries was also conducted to provide context. Each sector were found to have either …

Optimizing Object Detection For Remote Monitoring With Owl Ducklink Radios, Colin Ren-Jin Babian

Electrical Engineering

This project develops an AI powered object detection system integrated with OWL DuckLink radios to enable real time remote monitoring. The system benchmarks multiple AI accelerators using a Raspberry Pi 5 to determine their efficiency in low power, long range communication environments. By evaluating the Raspberry Pi 5 CPU (7.62W, 14.5 camera FPS, 3.8 inference FPS), Raspberry Pi AI Camera with Sony IMX500 (6.45W, 30 camera FPS, 9.2 inference FPS), and Raspberry Pi AI Hat with Hailo-8L chipset (7.80W, 30 camera FPS, >30 inference FPS), this project identifies the most effective combination of hardware and software for edge AI applications. …

Alpine Plants And Climate Change: Tracking Community Shifts In Yosemite National Park, Brooke Wallasch, Annalise Burrows, Madeleine Colbert, Michael Gottlieb, Ty Connelly, Julian Durante, Emily Staats, Marjorie Say

Baker/Koob Endowments Awarded Projects

As climate change progresses, alpine plant communities are predicted to shift upslope as they track temperature over time. Relative to lowland environments, alpine areas are experiencing a faster rate of temperature change due to a phenomenon referred to as elevation-dependent warming. A common approach for tracking plant communities shifts over time, is to conduct resurveys of the same area at several time points, as the Global Observational Research Initiative in Alpine Environments (GLORIA) has done on mountain summits around the world since 2001. In 2011-2013, GLORIA developed a supplemental survey method whereby belt transects were established downslope of summits in …