Digital Commons Network^™

Compliant Mechanisms For Scalable Systems And Precision Deployment, Jared Rodney Hunter

Theses and Dissertations

Compliant mechanisms offer advantages in precision applications where size, scaling, and environmental effects render traditional mechanisms inadequate or likely to fail. However, designing compliant mechanisms and integrating them into larger, more complex systems remains a challenging problem. This thesis presents work that addresses this issue with analytical models and experiments on flat springs, scalable compliant mechanisms, and origami arrays. Storing and releasing energy in tiny, flat compliant mechanisms opens the door for the design of innovative actuators and products in space-constrained situations. Scaling compliant mechanisms allows novel systems to be made that can operate across scales. By designing for scalability …

Human Gut Commensal Alistipes Timonensis Modulates The Host Lipidome And Delivers Anti-Inflammatory Outer Membrane Vesicles To Suppress Colitis In An Il10-Deficient Mouse Model, Ethan Older, Mary K. Mitchell, Andrew Campbell, Xiaoying Lian, Michael Madden, Yuzhen Wang, Lauren E. Van De Wal, Thelma Zaw, Brandon N. Vanderveen, Rodney Tatum, E. Angela Murphy, Yan-Hua Chen, Daping Fang, Melissa Ellermann, Jie Li

Faculty Publications

Correlative studies have linked human gut microbes to specific health conditions. Alistipes is one such microbial genus negatively linked to inflammatory bowel disease (IBD). However, the protective role of Alistipes in IBD is understudied, and the underlying molecular mechanisms remain unknown. In this study, colonization of Il10-deficient mice with Alistipes timonensis DSM 27924 delays colitis development. Colonization does not significantly alter the gut microbiome composition, but instead shifts the host plasma lipidome, increasing phosphatidic acids while decreasing triglycerides. Outer membrane vesicles (OMVs) derived from Alistipes are detected in the plasma of colonized mice, carrying potentially immunomodulatory metabolites into the …

Modeling And Simulation Of Tensegrity Structures With Continuous Cables, Austin R. Brown

Theses and Dissertations

This thesis presents a novel approach for modeling and simulating tensegrity structures with continuous cables. A Python-based simulation framework package was developed to address limitations in existing tensegrity modeling software, particularly the inability to model cables passing through multiple nodes. The framework utilizes virtual work methods to solve for equilibrium configurations of 2D, 2.5D and 3D tensegrity systems. Key features include: • A YAML-based input system for easy definition of tensegrity topologies. • Algorithms for handling continuous cables spanning multiple nodes. • Optimization techniques to find stable equilibrium states. • Capability to simulate 2.5D structures wrapped around cylindrical surfaces. • …

Llm Music Creation And Recommendation Applications, Curtis Robinson, Allan Yang, Thomas Liu

Electrical and Computer Engineering Senior Theses

This thesis explores the application of large language models (LLMs) in music analysis, creation, and interaction, focusing on their potential to reshape traditional workflows in the music domain. The study begins by contextualizing the role of artificial intelligence in music technology, particularly emphasizing the emergence of LLMs like GPT and their unique capabilities in multimodal and musical contexts. A comprehensive survey of current research and toolsets highlights both creative and analytical implementations, ranging from text-based music generation to music information retrieval. The core contribution is an experimental framework that integrates LLMs with music processing libraries, enabling novel interactions such as …

Sideque$T, Akshay Nichani, Anusha Kankipati, Afra Mahammad, Lucas Jablon

Computer Science and Engineering Senior Theses

In recent years, the gap between traditional education and the current labor market has widened dramatically: in 2024, 11. 5 % of California’s 16-24 year olds were neither in school nor employed, alongside a net decline of roughly 3 million students nationwide in the last decade and more than 4 million members of Generation Z left the job despite having conventional degrees. These trends underscore a growing disconnect between academic credentials and market-ready skills and a pressing need for alternative pathways to gainful work. We introduce SIDEQUE$T, a secure, user-friendly online marketplace engineered to bridge this divide. By allowing job …

Enhancing Gpr Reliability For Concrete Infrastructure: Integrating Signal Processing And Deep Learning For Defect And Corrosion Assessment, Priyam Chowdhury

Theses and Dissertations

This research addresses the critical issue of deteriorating civil infrastructure by utilizing GPR integrated with advanced signal processing and machine learning. Employing the Conquest 100 system, four concrete slab configurations were tested: multi-layer rebar with defects, single- and double-layer rebar setups, varied rebar spacing, and pre-corroded rebars (0–30% mass loss). GPR B-scans collected over 3–60 days demonstrated that detection accuracy varied significantly with curing time, structural complexity, and moisture levels. A custom-developed Python script surpassed EKKO_Project software in rebar localization, achieving lower position errors (0.4–0.7 inches compared to 0.5–1.25 inches). Notably, the amplitude of GPR signals unexpectedly increased with corrosion …

A Versatile Platform For Designing And Fabricating Multi-Material Perfusable 3d Microvasculatures, Nathaniel Harris, Charles Miller, Min Zou

Mechanical Engineering Faculty Publications and Presentations

Perfusable microvasculature is critical for advancing in vitro tissue models, particularly for neural applications where limited diffusion impairs organoid growth and fails to replicate neurovascular function. This study presents a versatile fabrication platform that integrates mesh-driven design, two-photon lithography (TPL), and modular interfacing to create multi-material, perfusable 3D microvasculatures. Various 2D and 3D capillary paths were test-printed using both polygonal and lattice support strategies. A double-layered capillary scaffold based on the Hilbert curve was used for comparative materials testing. Methods for printing rigid (OrmoComp), moderately stiff hydrogel (polyethylene glycol diacrylate, PEGDA 700), and soft elastomeric (photocurable polydimethylsiloxane, PDMS) materials were …

Litter-Acy, Justin Chung, Aster Li, Andrew Nguyen

Computer Science and Engineering Senior Theses

This project for Santa Clara University School of Engineering’s annual Senior Design, Litter-acy, addresses the critical societal issue of improper waste management and the lack of public knowledge regarding proper sorting techniques. These contribute significantly to environmental pollution and deterioration. Through recognizing how traditional educational methods often fail to engage younger audiences and combat the ”adolescent dip” in sustainability interest, Litter-acy proposes an innovative solution: an iOS mobile application that gamifies waste management education.

The app features multiple interactive mini-games focused on sustainable waste sorting, including Connections, Catcher, and Trivia, designed to make learning engaging and accessible. It incorporates key …

Continuous Monitoring Of Dynamic Levels Of Sepsis-Associated Biomarkers In Blood For Early Diagnosis, Aidan Burke, Jake Chansky, Anders Kouhia, Brian Mostofi

Bioengineering Senior Theses

Sepsis is a general diagnosis related to a dysregulated immune response to a source of infection that, if left untreated, will most likely result in organ failure and eventual death. Sepsis affects 49 million people annually, and is responsible for 11 million annual deaths, according to Jarczak 1. A recent study has shown that over 80% of sepsis deaths may be preventable with earlier diagnosis and treatment, and that the risk of mortality increases by 8% for every hour that sepsis goes untreated 5. Thus, our team identified that the timeliness of sepsis diagnosis is a paramount healthcare need.

We …

Tellings Of The Pacific Ocean: A Landscape-Based Approach For Multispecies Design And Hci, Maliheh Ghajargar

Engineering Faculty Articles and Research

Environmental disturbances induced by climate change have caused significant changes in our ecosystems and are threatening the health of our environments. As a response to this issue, a growing body of work has emerged in HCI and design, which seeks to foreground more-than-human stories in support of making more sustainable and just futures. This research contributes to this broad agenda by probing graphic novels as a multispecies storytelling method for design and HCI. Combining ideas from Anna Tsing’s adventures of landscape and from HCI and design’s use of sequential art (e.g., storyboards), we use landscape as the main protagonist of …

Exploring Sustainable Practices In Educational Buildings During The Project Lifecycle In Egypt, Abdallah Awny, Youssef A. Awad, Hosam Hegazy, Ibrahim Mahdi

Future Engineering Journal

Sustainable construction approaches are essential for mitigating environmental concerns and enhancing energy efficiency in educational facilities. This research examines sustainability solutions in Egyptian educational institutions, concentrating on the design, building, and operating stages. The study combines quantitative and qualitative assessments from a survey of 66 industry experts, evaluating essential sustainability criteria like energy efficiency, water conservation, material sustainability, and operating expenses. Statistical methods, such as the Relative Importance Index (RII) and correlation analysis, were used to assess the relevance and interrelations among sustainability factors. The findings reveal that energy efficiency (RII: 0.82) and the promotion of health and well-being (RII: …

Ascertion: Middleware For Content Moderation, Mia Lassiter, Vani Aggarwal

Computer Science and Engineering Senior Theses

The Internet is dominated by a handful of social media platforms that disproportionately control content curation and moderation. As a result, it is increasingly difficult for users to discern verified and credible information from misinformation and disinformation. Middleware is a specialized software with mechanisms to decentralize platform power and reinstate users with autonomy over their online experiences. We propose middleware that gives users the autonomy to create and consume authentic and trusted content. We achieved a proof of concept for a middleware with mechanisms for verifiable content posting and authentication. Our solution is implemented as a Chrome plug-in that provides …

Eliminating Assay Background Of A Low-Cost, Colorimetric Glutamine Biosensor By Engineering An Alternative Formulation Of Cell-Free Protein Synthesis, Joseph P. Talley, Tyler J. Free, Tyler P. Green, Dallin M. Chipman, Bradley Charles Bundy

Faculty Publications

Glutamine is an essential biomolecule that plays a pivotal role in many diseases, such as cancer, where it can serve as fuel for rapid proliferation. Treatments for these diseases can be monitored and optimized through the detection of glutamine, though standard glutamine detection procedures are costly and require complex instrumentation. Cell-free protein synthesis (CFPS) has recently enabled a paper-based, colorimetric glutamine sensor that carries the potential to increase test accessibility while dramatically reducing consumer cost to enable at-home, rapid treatment monitoring. Test sensitivity remained limited by residual assay background, thus motivating this work where CFPS reactions traditionally formulated with glutamate …

Portuguese For Mozambican Mothers – A Language Empowerment App, Josh Kindarara, Alexandre Lopes, Gwendolyn Patwardhan, Riana Santos, Sara Wheeler

Computer Science and Engineering Senior Theses

In Mecúfi, Mozambique, the mothers of children who attend school through the DIFF EDUCATION program have a strong desire to learn Portuguese, the country’s national language, due to colonization. However, they have minimal formal education and little to no experience with technology. They are unable to read or write in any language, including their native language, Makhuwa, making many current educational resources unusable. This leaves these mothers without accessible, culturally relevant tools to help address their linguistic needs.

This project focuses on developing an educational application designed for non-literate mothers in rural Mozambique. The app emphasizes visual and auditory learning …

Retracted: A Novel Scheme To Optimize Lsb Steganography Based On A Logistic Chaotic Map And Genetic Algorithm, Dena Abu Laila, Ibrahim Moh'd Obeidt, Mohammad Aljaidi, Mohammed Amin Almaiah, Muneer Albourini, Qais Al-Na'amneh, Ghassan Samara, Rami Shehab, Khaled Momani

Iraqi Journal for Computer Science and Mathematics

Steganography has gained importance in various fields, including cloud security, internet banking, military applications, and medical imaging. Additionally, it is popular due to its many uses, becoming a hot research topic. The Least Significant Bit (LSB) approach is among the simplest ways to embed secret data in a cover image. We proposed a new scheme using LSB with the genetic algorithm GA to find the optimal solution permutation for embedding the pixel assortment of the image where data is to be concealed, and a chaotic genetic algorithm (CGA) to efficiently find the best crossover and mutation performance in the chromosomes. …

Wesearch - Scu’S Research Hub, Beatrice Hackman, Hilary Le, Meagan Vu, Nicholas Cheung

Computer Science and Engineering Senior Theses

Santa Clara University (SCU) hosts a flourishing undergraduate research program, but discovering research opportunities remains inefficient due to inconsistent information channels. Students rely on informal communication and disconnected departmental web pages to find research roles. In response, our senior design team developedWeSearch: a centralized, web-based platform that consolidates research opportunities across all SCU laboratories. It allows students to browse labs, projects, and apply directly to open positions. Faculty members can create lab profiles, post research openings, manage applications, and assign administrative roles to student assistants.

The platform was designed using Figma and implemented with React.js on the front-end. Firebase was …

Visualizing Sustainability Data With Ai, Matthew Van Dyke, Emily Chen, Hayden Le, Dorothy Xu

Computer Science and Engineering Senior Theses

EcoVisor is a prototype system for extracting, structuring, and visualizing sustainability related metrics from natural language articles. The project integrates a FastAPI backend with a Next.js frontend to transform raw text or article URLs into structured sustainability data, detect trends over time, and generate visual outputs for users. Key capabilities include automated scraping of web articles for sustainability semantics, sustainability related metric data extraction, post-processing of extracted values into cleaned segments and sentences using HTML parsing, grouping of metrics by category and year, generation of Chart.js visualizations, and production of concise “comic brief” summaries for accessible storytelling. EcoVisor aims to …

Atp8b1 Regulates Pip2 Localization And Cleavage Of Pyroptotic Executioner Gasdermin D, Nilam Bhandari, Ashutosh Prince, Mariam R. Khan, Alicia Traughbera, Kalash Neupane, Shuhui W. Lorkowski, Gregory Brubaker, Elif G. Ertugral, Chandrasekhar R. Kothapalli

Chemical & Biomedical Engineering Faculty Publications

Mutations in ATP8B1 cause progressive familial intrahepatic cholestasis, with symptoms including pruritus, pancreatitis, fat malabsorption, intestinal inflammation, and failure to thrive. High-throughput studies showed interconnection between ATP8B1 and phosphoinositide (PIPs), but the mechanism linking ATP8B1, lipid metabolism, and inflammation remains unclear. Atp8b1G308V/G308V mouse model, unbiased RNAseq, high-resolution-stimulation emission depltion (STED)-microscopy, and Crispr-Cas9 generated ATP8B1-/- knockouts in hepatocytes/monocytes/macrophages were used to determine role of ATP8B1 in phosphatidylinositol,4-5-bisphosphate (PIP2) trafficking and inflammation. Human ATP8B1, purified from Sf9 insect cells and reconstituted in proteoliposomes, was used to test cell-free PIP2 flip. Various in-vitro techniques were used for testing direct interaction between PIP2 and …

Novel Electrospinning Techniques For Fabricating Scaffolds To Model Intracranial Atherosclerotic Disease In Tissue Engineered Blood Vessel Mimics, Isaac "Squeaky" Buentipo

Master's Theses

Novel Electrospinning Techniques for Fabricating Scaffolds to Model Intracranial

Atherosclerotic Disease in Tissue Engineered Blood Vessel Mimics

Isaac “Squeaky” Buentipo

Dr. Kristen Cardinal’s Tissue Engineering Lab at California Polytechnic State University specializes in fabricating customized vascular models, known as Blood Vessel Mimics (BVMs), for medical device testing. BVMs are simplified in vitro vascular models designed to bridge the gap between bench testing and in vivo evaluation of intravascular medical devices. BVMs are produced by combining a polymer scaffold with human vascular cells. Through novel scaffold fabrication techniques, such as silicone injection molding, silicone dip casting and electrospinning, the capabilities of …

Evaluation Of Antibiotic Testing Protocols For Biofilm-Forming Escherichia Coli In A Microfluidic Platform, Caleb R. Telander

Master's Theses

Catheter-associated urinary tract infections remain an ongoing clinical problem due to biofilm persistence and antibiotic resistance. Standard antibiotic susceptibility testing cannot accurately reproduce flow conditions and the spatial complexity of the in vivoenvironment and is thus questionable in relevance to device-related infections. This study examines a microfluidic device designed to simulate physiologically relevant wall shear stress and antibiotic gradients in Escherichia coli biofilms. The polydimethylsiloxane-based system integrates a 16-well culture chamber with a gradient generator. Biofilm growth was observed using fluorescence microscopy of green fluorescent protein-labeled bacteria. Simulations performed using COMSOL Multiphysics software estimated the appropriate range of wall …

Acoustic And Hemodynamic Analysis Of Phantoms: Roughness And Flow Dynamics, Ethan Erik Olof Sundberg

Master's Theses

The purpose of this study was to determine whether different vascular phantoms, with and without a surrogate arm, could serve as effective analogs to the human brachial artery for assessing endothelial dysfunction, an early indicator of cardiovascular disease, particularly atherosclerosis. Atherosclerosis is characterized by plaque buildup and endothelial damage, which precede more severe clinical events and are often detectable through changes in vascular function. A 40” water tower was used to simulate diastolic pressure, enabling water flow through each phantom. Strain gauge pressure transducers were placed at both ends of the phantoms to measure pressure drop, while a microphone captured …

A Manufacturing Process For Interdigitated Microelectrodes On Glass Wafers, Wyatt W. Warfield

Master's Theses

This study presents work done to optimize the process parameters to produce interdigitated electrodes on a borosilicate wafer. Using designed experiments and statistical analysis, the error in pattern transfer was minimized using for key process steps including exposure time, develop time and post exposure bake duration. Similarly, statistical analysis was used with profilometry data to fine tune the develop times. Qualitative analysis was used to assess thin film deposition. The resulting process produced wafers with improved pattern transfer and adequate film adhesion

Optimizing Microfluidic Murine Fibroblast And Human Epidermal Keratinocyte Cell Culture In 70Μm Microwells, Christian Navarro

Master's Theses

Cell culture is an essential technique utilized in biotechnology and medicine to remove systemic influences to study cellular behavior and morphological development of individual cell lines. However, conventional cell culture is two-dimensional and static meaning it can’t easily mimic in vivo conditions such as multicellular cell to cell interactions, fluid perfusion, or 3D structures which might alter cellular behavior and morphology. Microfluidic cell culture allows for the incorporation of in vivo conditions such as perfusion and chemical gradients allowing for more physiologically accurate models. The goal of this study is to develop a protocol for testing a microfluidic chip designed …

Addressing Urban Traffic Congestion: A Deep Reinforcement Learning-Based Approach, Tairan Liu

Mineta Transportation Institute

In an innovative venture, the research team embarked on a mission to redefine urban traffic flow by introducing an automated way to manage traffic light timings. This project integrates two critical technologies, Deep Q-Networks (DQN) and Auto-encoders, into reinforcement learning, with the goal of making traffic smoother and reducing the all-too-common road congestion in simulated city environments. Deep Q-Networks (DQN) are a form of reinforcement learning algorithms that learns the best actions to take in various situations through trial and error. Auto-encoders, on the other hand, are tools that help simplify complex data, making it easier for the DQN to …

I-280/Wolfe Road Interchange Redesign, Mitchell Wong, Dave Liang

Civil, Environmental and Sustainable Engineering Senior Theses

With the increasing population, there is an increasing need for traffic efficiency and road safety. Roadways that were once considered adequate may be unable to accommodate the growing number of vehicles on the road. In this paper, we analyze the I-280/Wolfe Road Interchange to determine its safety and efficiency inadequacies and propose an improved interchange design to fix these issues. Our analysis reveals that there is room for improvement in the safety of drivers, bikers, and pedestrians, as well as opportunities to enhance the efficiency of sections of the road that require it. We identified the lack of protective barriers …

Custom Data Acquisition System For The Cal Poly Racing Baja Team, Joe Keenan

Computer Engineering

The Cal Poly Racing Baja team relies on data to analyze and improve upon various vehicle systems in an off-road style vehicle. In order to accomplish this, some data logging or data acquisition (DAQ) is required to collect the data. This project explores the use of a controller area network with flexible data rate (CAN FD) bus along with a custom file format to store data on an SD card that can be made easily acceptable to engineers on the team.

Guidelines For Energy Technology Demonstrations, Ian M. Shapiro

SyracuseCoE

This document is intended to provide guidance to companies developing new products, researchers, organizations sponsoring product development, demonstration hosts, resident organizations, and policymakers. The guidelines were prepared to maximize the chances for success of energy technology field demonstrations. Guidance is provided for effective site recruitment, project scoping and design, installation, onsite research, and related work such as public communication and risk management, all in ways that fully engage demonstration hosts.

Development Of A Health And Wellness Assessment For Kytc Personnel, Gabriel Dadi, Farshid Taherpour, Caitlin Pope

Kentucky Transportation Center Research Report

Highway construction workers operate in high-stress, hazardous settings where they have to perform physically taxing labor in environments where exposure to variable weather conditions, heavy equipment, high volumes of vehicle traffic, and other conditions that induce stress and anxiety are the norm. Up to 70% of workers in this industry have reported experiencing mental health issues, including secondary traumatic stress, post-traumatic stress disorder, depression, anxiety, and substance abuse disorders. Few state departments of transportation, however, offer adequate resources staff can draw on to effectively manage their psychological well-being. To help Kentucky Transportation Cabinet (KYTC) roadway maintenance and construction workers develop …

Aggregator Zone Selection For Ev Smart Controls Based-On Ml Clustering Of Grid Strength, Distance, And Charging Homogeneity, Rosemary E. Alden, Sam H. Lowe Ii, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

Smart electric vehicle (EV) charging control methods from a central utility hub often require communication infrastructure over a large service area of electric power distribution systems with a large number of nodes. Industry standards such as Open Charge Point Protocol (OCPP) 2.1 have evolved to include topologies for local controllers to the individual chargers, i.e. EV aggregator zones. A machine learning (ML) application of k-means clustering is proposed to establish zones for coordination of EV charging based on grid strength and EV owner decision-making to charge per day. Very large-scale distribution networks including the IEEE 123 and 8500 benchmark feeders …

Cluster-Based Volt/Var Optimization On A Utility Distribution Feeder With Forecasted Ev Penetration, Steven B. Poore, Grant M. Fischer, Rosemary E. Alden, Evan S. Jones, Aron Patrick, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

With significant increase in EV adoption expected in the near future and the associated impacts on power systems, the effect of volt/var optimization (VVO) as the next step to conservation voltage reduction (CVR), requires reevaluation. Implementation of a cluster-based VVO control strategy employs a novel approach with machine learning (ML) load forecasting to reduce device adjustments through k-means clustering of contiguous time steps with similar active power load in which a single adjustment would be sufficient. The cluster-based VVO method is tested on a complex real world utility distribution feeder with 2,018 nodes, 8.65MW peak load, 9 capacitor banks (CBs), …