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Hallucination Techniques For Self-Supervised Synthetic Datasets For Mobile Robots, Wyatt D. Colburn
Hallucination Techniques For Self-Supervised Synthetic Datasets For Mobile Robots, Wyatt D. Colburn
Master's Theses
Classical techniques in autonomous navigation struggle in tightly constrained spaces. Machine learning has been shown to perform better in these difficult environments but most techniques require large amounts of navigation experience for training. Using a new machine learning paradigm learning from hallucination (LfH), training data can be collected in a safe environment and not require supervision. Data is collected in real time while an agent performs a random walk in free space, supervision is not required as there are no obstacles for the robot to run into. After a random walk a post processing pipeline will hallucinate a safety corridor …
Establishing Procedures For Primary Human Myoblast Cell Culture, Erica Duffy
Establishing Procedures For Primary Human Myoblast Cell Culture, Erica Duffy
Biomedical Engineering
Peripheral Artery Disease (PAD) affects an estimated 200 million people worldwide and is the leading cause of amputation in the United States. PAD is characterized by atherosclerotic narrowing of arteries, resulting in ischemia from reduced blood flow to distal tissues. Although surgical and percutaneous interventions can restore perfusion, fewer than 50% of patients experience sustained benefit, highlighting the need for alternative therapeutic strategies. One promising approach is promoting arteriogenesis, the growth and outward remodeling of pre-existing collateral vessels that improve blood flow around the occluded arteries. Arteriogenesis is regulated by regenerative, M2-polarized macrophages, making macrophage polarization a key therapeutic target. …
Building Kit For K-8 Education: An Introduction To Construction Fundamentals, Marc Joynt
Building Kit For K-8 Education: An Introduction To Construction Fundamentals, Marc Joynt
Construction Management
Introducing construction concepts to young students requires tools that are both engaging and easy to use, which led to the development of a laser-cut building kit designed for K–8 classrooms. The process began with hand-drawn sketches to establish a simple, age-appropriate structure. The design was then modeled in AutoCAD, where each individual component was drafted for fabrication. After completing the digital model, the files were transferred into Rhino and organized by layer to ensure accurate communication with the laser cutters used to produce the final basswood pieces. Throughout the project, challenges such as material limitations, tolerance adjustments, and simplifying complex …
Academic Senate - Agenda, 11/18/2025, Academic Senate
Academic Senate - Agenda, 11/18/2025, Academic Senate
Academic Senate Agendas
No abstract provided.
Academic Senate - Minutes, 11/18/2025, Academic Senate
Academic Senate - Minutes, 11/18/2025, Academic Senate
Academic Senate Minutes
No abstract provided.
Executive Committee - Minutes, 11/04/2025, Academic Senate
Executive Committee - Minutes, 11/04/2025, Academic Senate
Academic Senate Minutes
No abstract provided.
Executive Committee - Agenda, 11/04/2025, Academic Senate
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
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 …
Cal Poly (Cp) Legged Robot, Sebastian Barboza, Jonathan Mchale, Isabella Sorensen, Isaac Golan
Cal Poly (Cp) Legged Robot, Sebastian Barboza, Jonathan Mchale, Isabella Sorensen, Isaac Golan
Mechanical Engineering
The Navy spends $60 billion annually on dangerous ship maintenance performed by sailors. To save lives and resources, the Naval Surface Warfare Center (NSWC) is looking for robots to replace sailors and navigate ships to perform various tasks. Robots with tracks and wheels have been most recently explored by NSWC, however they have encountered significant problems navigating the ships, especially through naval ship doorways with a significant ledge. By using a legged robot, our team hopes to solve these problems and have a robot that can navigate the ship with relative ease and stability.
Reviving Motion: Rebranding More Than Motion Dance Intensive, Ava Zamoff
Reviving Motion: Rebranding More Than Motion Dance Intensive, Ava Zamoff
Graphic Communication
For my senior project, I will lead a full rebranding initiative for More Than Motion Dance Intensive, an international dance convention that occurs annually across the US and other countries, connecting dancers and professional choreographers through a transformative weekend of dance. The main goal of this project is to turn the company’s outdated Wix website into an innovative site with a brand new visual identity. Additionally, the original site’s accessibility is lacking in terms of layout orientation and marketing strategy as it doesn’t convey the modern, dynamic feel the intensive is meant to embody. My goal is to complement the …
Choose: Helping Young Adults Make Confident Decisions, Caitlin J. Lee
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 - Agenda, 10/28/2025, Academic Senate
Academic Senate Agendas
No abstract provided.
Academic Senate - Minutes, 10/28/2025, Academic Senate
Academic Senate - Minutes, 10/28/2025, Academic Senate
Academic Senate Minutes
No abstract provided.
Executive Committee - Agenda, 10/21/2025, Academic Senate
Executive Committee - Agenda, 10/21/2025, Academic Senate
Academic Senate Agendas
No abstract provided.
Executive Committee - Minutes, 10/21/2025, Academic Senate
Executive Committee - Minutes, 10/21/2025, Academic Senate
Academic Senate Minutes
No abstract provided.
Creating Feminist Icons, Engaging With Feminist Concepts Via Ai, Regina M. Luttrell Ph.D., Carrie T. Welch M.A.
Creating Feminist Icons, Engaging With Feminist Concepts Via Ai, Regina M. Luttrell Ph.D., Carrie T. Welch M.A.
Feminist Pedagogy
The authors describe an undergraduate media diversity course assignment that integrates artificial intelligence (AI) to explore gender representation in media. Students engage in an activity where they use AI text-to-image generators to create fictional feminist icon characters. This activity is designed to complement discussions on AI bias and gender norms in media, prompting students to critically examine how AI tools reinforce or challenge stereotypes. By linking their experiences with AI-generated images to feminist theory, students gain a deeper understanding of intersectionality, representation, and media bias. The assignment is part of a class that traces feminist movements through pop culture media …
Exposing Bias In Ai Art: A Hands-On Feminist Pedagogy Activity, Sheri-Lynn Kurisu, Emely Yanagida
Exposing Bias In Ai Art: A Hands-On Feminist Pedagogy Activity, Sheri-Lynn Kurisu, Emely Yanagida
Feminist Pedagogy
This Original Teaching Activity (OTA) introduces students to the biases embedded in AI-generated art, drawing from feminist critiques of the male gaze (Mulvey, 1975) and Emanuele Arielli’s artificial gaze (2024). AI technologies, often assumed to be neutral, frequently reproduce and amplify societal inequalities related to gender, race, and class. This activity engages students in a hands-on exploration of these biases by prompting AI art generators, analyzing the results, and reflecting on the implications of algorithmic bias. Through structured exercises, students compare their expectations with AI-generated images, identifying patterns of stereotyping and erasure. Classroom discussions focus on how AI’s aesthetic choices …
Teaching About Abortion Access With Charley The Chatbot, Laura E. Willis, Kim O'Neill, Nicole Cushman
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 …
Prompting For Refusal: Teaching Against And Without Ai, Kate Maddalena, Aline Zara, Dan Guadagnolo
Prompting For Refusal: Teaching Against And Without Ai, Kate Maddalena, Aline Zara, Dan Guadagnolo
Feminist Pedagogy
This Original Teaching Activity describes two modules that enact feminist pedagogy to teach AI refusal, a set of lectures and associated activities which we developed for first-year courses during the 2023-2024 academic year. These activities invite students to refuse AI while also understanding its function and deployment. They explore the consolidations of power which make generative AI technologies both possible and harmful. Instead of presuming the inevitability of AI to replace working and learning or change the world, these activities offer students a materialist framework to refuse the hype, grounding their understanding of generative AI in its techno-political origins and …
Viewing Ai From The Bottom: A Feminist Political Economic Critique Of A Technocentric Pedagogy, Micky Lee, Benita Dederichs
Viewing Ai From The Bottom: A Feminist Political Economic Critique Of A Technocentric Pedagogy, Micky Lee, Benita Dederichs
Feminist Pedagogy
A feminist political economic (FPE) perspective has a more profound concern than cheating: it argues that AI is not a neutral tool. AI constitutes social relations that prevent certain populations from fully participating in political, economic, and civic lives while obscuring unbalanced power relations produced and reproduced in a capitalistic society. This commentary first points out how AI may reinforce gender- and race-biased job stratification in the high-tech industry; and how AI disempowers women of color by locking them in a passive position. It offers some advice of what feminist educators could do to empower students.
Embracing Uncertainty And Resisting Suspicion In The Faculty-Student Relationship, Natalia Rybas
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. …
Keep Searching For Stories: The Importance Of Student Historical Research In The Ai Era, Emily Westkaemper
Keep Searching For Stories: The Importance Of Student Historical Research In The Ai Era, Emily Westkaemper
Feminist Pedagogy
This critical commentary interprets the risk that increased reliance on AI will disrupt student researchers’ direct engagement with historical primary sources. Close analysis of primary source details supports feminist history and digital history approaches, helping researchers contextualize histories of marginalization and interrogate scholarly and popular narratives about the past. Search engines and databases can promote access to digitized documents. By contrast, large language models reflect contemporary biases and communication patterns, manufacturing general declarations about historical significance that do not prioritize digitized primary source materials. I experimented with AI queries about participants in the 1977 National Women’s Conference (NWC), a topic …
Teaching Oppositional Resistance To The Weaponization Of Artificial Intelligence In Acts Of Gendered Violence, Lili R. Romann, ElizabEth A. Hintz
Teaching Oppositional Resistance To The Weaponization Of Artificial Intelligence In Acts Of Gendered Violence, Lili R. Romann, ElizabEth 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.
Academic Senate - Agenda, 10/07/2025, Academic Senate
Academic Senate - Agenda, 10/07/2025, Academic Senate
Academic Senate Agendas
No abstract provided.
Academic Senate - Minutes, 10/07/2025, Academic Senate
Academic Senate - Minutes, 10/07/2025, Academic Senate
Academic Senate Minutes
No abstract provided.
Surp: Space Robotics Laboratory Lab Manuals And Experiment Development, Connell Crawford
Surp: Space Robotics Laboratory Lab Manuals And Experiment Development, Connell Crawford
College of Engineering Summer Undergraduate Research Program
This SURP project is focused on the preparation of the lab, experiments, and operation procedures necessary for the proposed equipment in the Space Robotics Lab. As such, the primary goal is to create safety and test documentation that shall be used in the lab. Students selected for this project shall gain a hands-on learn-by-doing with equipment that is intended for teaching and research of a simulated planar space test environment for an air-bearing vehicle test bed to be able to test sensors, actuation and deployment of mechanisms, spacecraft collaboration through closed loop control, as well as experimental propulsion systems.
Evaluating Machine-Learning Models For Drone-Based Image Analysis Of Coastal Ecosystem Dynamics, Katharine Mcdaniel, Pragati Toppo
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 …
Building An Inclusive Ai Chatbot For Diverse Student Communities At Cal Poly: Uplift Ai, Gideon Telahun
Building An Inclusive Ai Chatbot For Diverse Student Communities At Cal Poly: Uplift Ai, Gideon Telahun
College of Engineering Summer Undergraduate Research Program
This research project will investigate the ability of advanced Large Language Models (LLMs) to identify and assess misinformation across diverse forms of media, including text, images, and video. In an age where misleading content spreads rapidly across digital platforms, evaluating the reliability and integrity of AI systems tasked with fact-checking is critical. We will develop a comprehensive dataset composed of factual and misleading examples drawn from various well-known and reliable fact-checking organizations. Each item will be independently reviewed and transparently labeled to ensure reproducibility. We will then prompt a curated group of state-of-the-art LLMs—including GPT-4, Claude, Gemini, Perplexity, Grok, and …
Safety-Critical Formation Control Of Non-Holonomic Multi-Robot Systems In Communication-Limited Environments, Logan Beard
Safety-Critical Formation Control Of Non-Holonomic Multi-Robot Systems In Communication-Limited Environments, Logan Beard
College of Engineering Summer Undergraduate Research Program
This project explores advanced methodologies for distributed planning, formation control, and coordination in heterogenous multi-agent robotic systems consisting of small mobile robots and nano unmanned aerial vehicles (UAVs). Leveraging decentralized control theories and optimization techniques, the research aims to develop robust algorithms for real-time collaborative task execution, efficient formation maintenance, and adaptive coordination strategies. Python and ROS will be used extensively to simulate, validate, and experimentally deploy distributed robotics algorithms. The student researcher significantly contributes to the theoretical and practical advancement of multi-agent system technologies.
Behind The Prompt: The Environmental Impact Of Llm Inference, Lucy Hegenderfer, Isaac Huang
Behind The Prompt: The Environmental Impact Of Llm Inference, Lucy Hegenderfer, Isaac Huang
College of Engineering Summer Undergraduate Research Program
As the size and demand for large language models (LLMs) increase, the environmental impact of computational inference often exceeds training; yet industry lacks a standardized method of calculating this expanding environmental footprint. Complexity arises with task-specific computational demands, infrastructure overhead, and various GPU architectures, making cross-model assessments burdensome. Combining environmental engineering and computer science principles by validating Jegham et al.’s meta-model, we predict the carbon emissions and water consumption during inference, providing metrics to raise user awareness of AI’s growing environmental footprint. Additional work supports integration into a multi-agent conversational system that encourages responsible scheduling and prompting, guiding the user …