Engineering Commons^™

Teaching Multi-Core Architecture: Design And Implementation Of A Cache-Coherent Cpu For Undergraduate Education, Isaac R. Lake

Master's Theses

Modern computing has relied on multicore processors for high performance for nearly two decades, yet undergraduate computer engineering curricula often provide limited exposure to parallel hardware architectures and their design challenges. This thesis presents the design of CPE 433, a course that extends the pipelined and cached OTTER CPU developed in CPE 233 and CPE 333 into a multicore processor capable of running parallel workloads. The thesis documents the architectural changes required to adapt the verified single-core design into a multicore system, including MMIO-based interrupt support, a shared cache hierarchy with cache-coherence mechanisms, and clock-gated modules. It further presents a …

Implementation Of A Line-Scan Camera Triangulation Sensor For A Ball Balancer, Jackson R. Mclaughlin

Master's Theses

Ball Balancer or Ball on Plate systems are used for education and research in control theory. These consist of a plate which can be actively tilted, with a ball rolling on the surface. Students are challenged to model the dynamics of the system and implement a control loop which is capable of stabilizing the ball by actuating the plate.  The mechatronics group at Cal Poly is developing hardware for one of these ball-balancer systems, for future use in the Mechanical Engineering curriculum.

The position of the ball relative to the plate must be measured in order to control and stabilize …

Boundary Influence In Truncated Groundwater Models: Reconstructing A Local-Scale Modflow Model From A Consultant-Developed Regional Model In The Monterey Subbasin, Bruce K. Liscomb

Master's Theses

Regional groundwater models built by consultants contain valuable calibrated frameworks but are often too large and complex for repeated local-scale analysis. Rather than rebuilding an entirely new smaller model, this study truncates the existing consultant-built regional model of the Monterey Subbasin, preserving the original grid structure and parameter framework while reducing the active domain to a manageable size for planning-level use. A key finding is that boundary-condition representation exerted a dominant influence on simulated groundwater behavior within the truncated domain, highlighting that truncation is a structural decision that meaningfully affects how the model responds. Model performance was evaluated two ways. …

Trust And Pre-Employment Background Checks When Onboarding And Maintaining Information Security And Cybersecurity Staff, Stanley Mierzwa

Center for Cybersecurity

The realm of trust is broad and can include many facets that are difficult to capture and catalog. In relation to the work roles of information security and cybersecurity, the intersection of trust in human resource management is critical and an evolving area within most modern organizations, in almost any sector, and of any size. A foundational element of trust is fundamental to effective mission and work roles in information security and cybersecurity, as well as to every employee tasked with contributing to the security of an organization’s assets. This chapter will include sections on the role trust can and …

A Performance-Weighted Environmental Assessment Of Ultra-High-Volume Fly Ash Substitution In Portland Cement Concrete, Youngguk Seo, M.A. Karim, Teddy Tzvetkov, Joshua Hardy

Faculty Articles

Fly ash substitution for cement in Portland cement concrete (PCC) has been regarded as a sustainable solution, but its widespread application remains constrained by concerns over mechanical performance and durability of PCC, especially at higher replacement rates. This study evaluates PCC mixes incorporating fly ash Type C (FA-C) or Type F (FA-F) across cement replacement rates from 10% to 90%, tracking fresh-state workability, compressive strength, and surface electrical resistivity at 7, 14, and 28 curing days. A process-based life cycle assessment (LCA) with the TRACI 2.1 method quantified global warming potential (GWP, kg CO₂/m³) under a …

The Effects Of Carbon-Fiber Plates And Peba-Based Midsole Foam In Running Shoes On Lower-Limb Joint Kinetics And Kinematics In Recreational Female Runners, Jordan M. Allen

Master's Theses

The recent increase in long-distance running participation and the rapid advancement in footwear technology have created a need for research on injury prevention in this growing population of recreational runners. When “super shoes” were first introduced to the running scene, they caught the attention of runners worldwide with the rapid improvement in marathon performance [1]. Today, every major running brand offers its own version of a super shoe, each incorporating a carbon-fiber plate and PEBA-based midsole foam. While previous studies have shown the performance benefits of these shoes, a gap remains in the literature regarding how they impact knee, hip, …

Electric Vehicle Charging Station Project, Fangling Zhu

2026 Spring Reports (Terre Haute)

The electronic vehicle (EV) charging station project was developed through a partnership between BUS 205 Business Statistics at Indiana State University and the City of Terre Haute as part of the Sustainable Cities Program. The city’s goal for this project is associated with the Theme: resilient infrastructure. The strategy RI-1 is to create a more resilient power grid. Terre Haute, aiming to advance sustainability and reduce emissions amidst growing EV adoption, faces challenges of limited charging infrastructure. Students work in four different groups and explore the optimization location for EV charging stations in the City of Terre Haute. The students …

Simulation Of Powder Spreading For Metal Additive Manufacturing, Florence Duff

Master's Theses

The powder recoating process for Laser Powder Bed Fusion requires iterative experimentation to develop the correct process parameters that will result in high quality parts. There currently lacks good spread quality metrics and models for optimizing spread quality. A machine that simulates the powder spreading process was built to streamline the process of selecting process parameters for specific types of powders without having to operate the full laser system. The parameters investigated were the layer thickness and spreading speed. The response variables were metrics developed to assess spread quality: the percentage of the build plate covered by powder and the …

Evaluating Design Choices For Gpu-Accelerated Finite-Difference Time-Domain Simulation On Resource-Constrained Devices, Joel Manesh

Master's Theses

The Finite-Difference Time-Domain (FDTD) method is a numerical technique for solving partial differential equations. It was first developed to solve Maxwell’s equations for electromagnetic wave propagation and has since been extended to model other physical phenomena governed by wave propagation. Because the FDTD method is data-parallel, it is well-suited for GPU acceleration; modern FDTD-based simulations run offline on large GPU clusters. There is, however, very little research on running FDTD on resource-constrained embedded GPUs, which are increasingly popular for real-time applications.

This thesis explores a CUDA-based FDTD solver for the 3D wave equation on the Nvidia Jetson Orin Nano. This …

Reinforced Concrete Design Fundamentals, Belen Stephanie Martinez Espinoza, Estevan Jacob Perez

Architectural Engineering

Hispanic workers make up a large and growing portion of the construction workforce in the United States; particularly in California, the percentage of construction workers who are Hispanic is estimated to be about 55% as of 2021 (Elkins). Many of these workers are Spanish-speaking, yet there is still a gap between technical engineering design and what is understood and applied in the field. One major reason for this gap is the lack of clear bilingual resources. To bridge the gap, a 48-page bilingual booklet titled Reinforced Concrete Design Fundamentals (Fundamentos del Diseño de Concreto Reforzado in Spanish) was created. This …

Design And Construction Of Caed Support Shop Steel Fence On Existing Cmu Wall, Jared Gustavo Martinez, Agustin Dominguez Jimenez

Architectural Engineering

This project involved the design, testing, fabrication, and construction of a new steel fence system for the CAED support shop at California Polytechnic State University, San Luis Obispo. The fence was designed to attach to an existing CMU wall and serve as a future attachment point for a removable shade canopy system. Experimental testing was performed on multiple turnbuckles to establish a conservative design load for the structural design of the fence posts, baseplates, welds, and anchorage connections. In addition to meeting structural requirements, the project incorporated architectural elements inspired by the original fence and surrounding CAED shop environment. The …

Tanzania Mbesese Initiative 2026, June Ezzell, Sam Liebman, Noah Beyer, Kate Hamilton, Luke Vollert, Kylee Borgen, Cody Balazs, Meg Mclaughlin

Architectural Engineering

The Tanzania Mbesese Initiative 2026 Senior Project supports a multi-year design-build effort to establish the Same Polytechnic College in Same, Tanzania. This community faces high poverty levels and limited access to higher education, necessitating sustainable infrastructure to support tertiary education. To prepare for the upcoming July phase of construction, an eight-student Architectural Engineering team designed three practical and resilient structures: a Shade Structure, a Water Collection Structure, and a Reusable Scaffolding system. The final design applied structural analysis, modeling, and hand-tool fabrication practice to balance material efficiency with long-term structural durability. The deliverables provide comprehensive construction documentation, complete material takeoffs, …

Design And Implementation Of A Honeycomb Damping System For The 2026 Eeri Seismic Design Competition, Vera Nguyen, Lauryn Wojcik

Architectural Engineering

The authors of this report were a part of the 2026 Earthquake Engineering Research Institute (EERI) chapter at California Polytechnic State University, San Luis Obispo. In July 2026, they will travel to Portland, Oregon with 12 students to compete in the Undergraduate Seismic Design Competition hosted by EERI. The competition required teams to develop a comprehensive structural design proposal that included computer-based modeling and analysis, construction of three physical models, and the preparation of both a technical poster and oral presentation for a proposed high-rise building located in Portland, Oregon. Cal Poly’s “Illahee Tower” was designed with an emphasis on …

Concrete And Masonry Code (Beams), Michael Alexander Simas Rocha

Architectural Engineering

This report only covers the beam design of the code that was written. The end goal of this project is to write code for concrete and masonry following what was taught in the lecture classes. This project is acting as a foundation for the end goal of a program that can compete with SAP2000, ETABS, RISA, and others. One final goal is to have the print out have the look and feel of having been done by hand. While coding; several factors were recorded including time spent coding, debugging, and then to do three problems by hand vs how long …

2026 Annual V.E.S.T Hackathon: Improving Gender Inclusivity Of Glove Fitting, Makena E. Fix

Construction Management

Safety gloves are an essential part of field personnel's personal protective equipment (PPE). Gloves protect against cuts, burns, chemicals, and other hazards. Properly fitting gloves reduce the risk of injury by enabling the suitable use of task-specific protection. The 2026 Verifying Everyone’s Safety Together (V.E.S.T) Hackathon was hosted to identify ways in which gloves fit workers differently, and evaluated six different glove types, ranging from woven cut rated to firefighting gloves. To understand experiences faced by workers with their PPE, firefighters were interviewed and discussions were held at the Hackathon. The collaborative event brought industry members and students together to …

Skip The Grid: Bringing Power To The Navajo And Hopi Nation, Benjamin R. Narciso

Construction Management

Skip the Grid is an interdisciplinary service-learning project that provides sustainable energy solutions to families with school-aged children living in the Navajo and Hopi Nations. In March 2026, a team of 23 students from five academic disciplines at California Polytechnic State University (Cal Poly) partnered with Heart of America, SOLV Energy, and NextPower to complete the program's fifth year. The project's purpose was to improve the quality of life and support educational success by providing reliable access to electricity, lighting, and refrigeration in underserved communities. Participants were organized into five installation teams consisting of Cal Poly students, faculty, industry partners, …

Evaluation Of Laser Doppler Flowmetry And Transillumination Laser Speckle Contrast Imaging To Measure Blood Flow Change In Ischemia Mouse Hindlimb Models, Simon Park

Master's Theses

Peripheral Artery Disease (PAD), caused by plaque buildup and narrowing of the arteries, reduces blood flow to the extremities. Promoting collateral arteriogenesis can help redirect blood flow. However, simple growth of collaterals may not be enough to reverse PAD. Instead, the ability for the collaterals to vasodilate and control blood flow is important, meaning assessing collateral function is important for the arteriogenesis assesment. Although microscopy techniques can measure vasodilation, contrast limitations in larger vessels such as collaterals make blood flow measurements difficult. Techniques such as ultrasound or magnetic resonance imaging (MRI) can measure blood flow but have limitations with cost …

Early Dementia Tracking Utilizing Virtual Reality, Gabriel Deguzman, Manuel Hernandez, Ryan Iglesias, Jose Ornelas

General Engineering

This project aims to create a simulation in virtual reality that replicates an activity that older adults are familiar with and presents an objective for the user to complete. The simulation will monitor the user’s cognitive functions based on their performance. The functionality of the designed program includes, but is not limited to: continuous tracking of cognitive behavior, skipped steps, and completion times. The program will take in relevant data and provide results on the monitored tasks and give the user a conclusion for further action. The application of this simulation will not be used as a medical device or …

Polysaber: A Custom Reactive Lightsaber Soundboard, Pedro B. Medeiros

Computer Engineering

The PolySaber project was developed as a custom reactive lightsaber control system built as a fully custom PCB design. The purpose of the project was to create a lower-cost and more customizable alternative to commercially available lightsaber soundboards while simultaneously providing hands-on experience in PCB design, embedded systems development, and hardware integration. Commercial lightsaber soundboards are expensive, proprietary, and difficult for hobbyists to customize. The PolySaber project addresses this by creating a modifiable hardware platform built around the ESP32 microcontroller. The system supports programmable firmware, RGB NeoPixel blade control, motion sensing, reactive swing and clash effects, onboard audio amplification, and …

Wind Power Turbine Pitching, Sierra Bindseil, Olivia Hoffsis, Izik Hingeley, Tucker Donahue

Mechanical Engineering

It is crucial that wind turbines are able to control the angle of their blades relative to the wind for optimal performance, efficiency, and safety [1]. This project will design a pitching mechanism for the Cal Poly Wind Power turbine that will compete in the Collegiate Wind Competition (CWC). Currently, for full scale wind turbines, the industry standard design includes the pitch of each blade being controlled by its own individual motor [2]. Because of the smaller scale of Cal Poly Wind Power’s turbine, along with power usage constraints, three separate motors are not a practical approach. Cal Poly Wind …

Cal Poly Fluid Powered Vehicle Challenge 2025/2026, Ethan Malachi Nejame Zeiset, Christian Anthony Cuamani, Daniel Chacon-Bizarro, Marcus Minera, Bradley Hansell

Mechanical Engineering

In this Final Design Report, the Cal Poly Fluid Power Vehicle Challenge Contending Team competed in Sun Hydraulics’ 2026 Fluid Powered Vehicle Challenge. The objective of the competition is to expose college students to the fluid power sector, the “hidden giant” of the engineering industry. Specifically, student teams are tasked with the development of a human-powered, fluid-driven vehicle for use in various competitive settings. The team prioritized the optimization of an existing prototype for simplicity, ease of maintenance, and reliability during the competition. The existing prototype exhibited issues related to the main frame’s deflection under load, a lack of gear …

Off-Grid Cabin Hydroelectric Generator, Keller Feltman, Lance Savatgy, River Perino, Jesse Valencia

Mechanical Engineering

This project developed a portable hydroelectric generator intended to provide low-power electricity generation for an off-grid cabin in Alpine County, California. The system was designed to utilize naturally occurring creek flow to generate electrical power while remaining portable, durable, and environmentally conscious.

The final system consists of an axial-flow turbine, belt-driven generator subsystem, waterproof electronics enclosure, aluminum support frame, and integrated wildlife protection screening. Engineering analysis was performed to estimate hydraulic power availability, turbine performance, drivetrain requirements, and component lifespan. These analyses guided the selection and development of the final design.

Throughout prototype testing, several design modifications were required. Initial …

Multi-Ton Bin Transport Device, Cole Kramer, Ruth Stirrup, Fabian Ruiz, Daniel Ramirez

Mechanical Engineering

This project sought to solve a problem at the Water Resource Recovery Facility in San Luis Obispo with the transportation of multi-ton bins on-site. Their current solutions prove ineffective, as they damage their equipment and the concrete pad, as well as pose major safety risks to the operators moving these bins. The Facility requires the bin transport design to be low-cost, effective, and without risk of damage to the bins or surroundings, while maintaining the integrity of the bins. This project presents a conceptual design that is similar to a scissor lift, integrated into a trailer which will connect to …

Elastic Actuator For Robotic Leg, Bruce Berg, Allan Pham, Madeline Slater, Sofie Zalatimo

Mechanical Engineering

The Cal Poly Legged Robots Group (CPLRG) is developing a 12 degree of freedom robot with the goal of eventually performing highly dynamic movements such as jumps and flips. During such movements, large impact forces will be experienced by the leg, potentially resulting in damage to physical components such as the motors. The scope of this project is to integrate elastic elements into the quadruped legs to reduce shock loads on the motors and improve the efficiency of the legs through energy storage. The key stakeholders for this project are Professor Charlie Refvem and Dr. Simon Xing. Other stakeholders include …

Automated Optimization Of Membrane Bioreactor Performance Using Machine Learning, Janessa Cayabyab, Isabella Lopez, Oluwatomisin Opaleye, Jessica Stone

Bioengineering Senior Theses

Membrane bioreactors (MBRs) are increasingly employed in biomanufacturing due to their ability to produce high-quality effluent and support complex biological processes. However, membrane fouling remains a critical operational challenge, driving increased energy consumption, frequent cleaning cycles, elevated transmembrane pressure (TMP), and accelerated membrane degradation. Conventional operator-driven cleaning strategies are reactive by nature and insufficient for managing the dynamic, nonlinear fouling behavior characteristic of full-scale MBR systems.

This study presents a data-driven machine learning pipeline for predicting TMP and fouling behavior in an industry-scale MBR system, with the goal of optimizing cleaning schedules and extending membrane lifespan. A Random Forest regression …

Leveraging Ict Adoption And Electricity Access For Sustainable Agricultural Productivity Among Nigerian Households, Menghan Huang, Qin Chen, Oluwayemisi Kadijat Adeleke, Mamdouh Abdulaziz Saleh Al-Faryan

The Philippine Agricultural Scientist

This study investigated ICT adoption (mobile phone and internet usage), access to electricity, and their impact on household agricultural productivity in Nigeria, Africa’s largest economy. Utilizing Wave 4 (2018 to 2019) Living Standards Measurement Study–Integrated Survey on Agriculture (LSMS–ISA) data covering 4,980 household heads, this study applied logit regression and Propensity Score Matching (PSM) for estimation, alongside a Cobb-Douglas production function to analyze input contributions to agricultural output. The findings revealed that the age, residential location, educational level, and access to electricity of household heads significantly determine technology adoption among farming households. Furthermore, ICT adoption exhibits a significant, positive relationship …

Rc-Nf: Robot-Conditioned Normalizing Flow For Real-Time Anomaly Detection In Robotic Manipulation, Shijie Zhou, Bin Zhu, Jiarui Yang, Xiangyu Zhao, Jingjing Chen, Yu-Gang Jiang

Research Collection School Of Computing and Information Systems

Recent advances in Vision-Language-Action (VLA) models have enabled robots to execute increasingly complex tasks. However, VLA models trained through imitation learning struggle to operate reliably in dynamic environments and often fail under Out-of-Distribution (OOD) conditions. To address this issue, we propose Robot-Conditioned Normalizing Flow(RC-NF), a real-time monitoring model for robotic anomaly detection and intervention that ensures the robot's state and the object's motion trajectory align with the task. RC-NF decouples the processing of task-aware robot and object states within the normalizing flow. It requires only positive samples for unsupervised training and calculates accurate robotic anomaly scores during inference through the …

Design And Optimization Of A Bluff Body For Energy Harvesting Of Transverse Galloping Induced By Low-Speed Wind Using Bernstein Polynomial Equations, Youssef Wael Abdelmoneim

Theses and Dissertations

In this thesis, a computational framework is proposed for optimizing the aerodynamic shape of bluff bodies used in galloping-based wind energy harvesters. The system targets low-wind speed environments, where normal wind turbines are not effective, offering a potential alternative to batteries used for powering small electronic devices such as wireless sensors. The design relies on the galloping effect, where airflow around a bluff body induces transverse oscillations that drive an energy conversion mechanism. To generate efficient bluff body geometry, the Class-Shape Transformation (CST) method is used to define a wide range of candidate shapes with minimal design parameters. These shapes …

Capstone Review: Warn Winch Proximity Sensor, Leana Girton

University Honors Theses

This thesis reviews the mechanical engineering capstone project that designed a winch proximity sensor for WARN Industries. WARN is very interested in developing this product for market as a safety and ease-of-use accessory, and working with Portland State University was the first step in this process. A group of four mechanical engineering and four electrical engineering capstone students collaborated to research sensor types, test the selected methods, and design and build a prototype. The final design implements an inductive ring, a mechanical button, and bluetooth signaling. The project succeeded in prototyping a proximity sensor for WARN, who will have access …

Quantum And Conventional Informatics Studies Of Synthesis Energetics And Defect Formation In Nitride Crystal Epitaxy, Andrew Steven Messecar

Dissertations

Machine learning is a valuable approach for the processing and analysis of complex information. By estimating relationships from recorded data, machine learning methodologies can be effective strategies for pattern recognition, enabling investigations and technological applications based thereon. The potential for improved understanding of high-dimensional data has drawn interest towards machine learning from across the sciences, including the research and development of new and improved material systems. In the context of experimental materials research, much of the reported efforts to incorporate machine learning into conventional practice have been primarily focused on either the enhanced analysis of characterization experiment data or the …