Engineering Commons^™

Evaluation Of Alternative Solvents For Electrospinning Occluded Scaffolds To Model Intracranial Atherosclerotic Disease In Blood Vessel Mimics, Olivia D. Rankin

Master's Theses

Intracranial atherosclerotic disease (ICAD) is characterized by a buildup of fatty plaque within the walls of arteries supplying the brain, resulting in vessel narrowing, restricted blood flow, and increased risk of ischemic stroke. While various treatments exist for ICAD, most are accompanied by high recurrent stroke rates and other adverse events, highlighting the need for further investigation and models for pre-clinical testing. Tissue engineered Blood Vessel Mimics (BVMs), consisting of a polymer scaffold sodded with human vascular cells, serve as physiologically relevant in vitro models for vascular device testing. This thesis focused on the application of alternative solvents to a …

Matlab Shake Table Control And Data Acquisition System, Abigail Austin

Architectural Engineering

The College of Architecture and Environmental Design’s (CAED) seismic laboratory shake table is used for earthquake engineering education and experimental testing. However, the existing control system is outdated and difficult for students unfamiliar with the system to operate. The objective of this project was to develop a MATLAB-based control and data acquisition application to simplify shake table operation and improve accessibility, of both operation and output, for student users.

The developed application imports earthquake acceleration records, scales the input motions to the operational limits of the shake table, and executes the desires motion through the existing hardware system. Experimental data …

Electrically Evoked Emg Decomposition Using The Perturbative Generalized Series Expansion, William R. Walker

Master's Theses

Electrically evoked electromyography records the muscle's response to nerve stimulation and has been used for clinical assessment of neuromuscular function, as well as treatments such as functional electrical stimulation or stroke rehabilitation. In every muscular contraction, an electrical signal is generated. These signals come from the summation of simultaneously recruited motor units, enabling decomposition techniques to reveal information about motor unit recruitment.  By improving the ability to decompose and analyze these signals, clinical treatments involving neuromuscular electrical stimulation can be optimized and better understood. Much of the research on EMG analysis focuses on voluntary EMG, leaving a gap in the …

Develop & Test Radar Assignments For Future Graduate Curriculum, Thomas Ky Hong, Christopher William Hoferer

Electrical Engineering

With Cal Poly’s switch to semesters, many upper-level electives lack enough depth and structured content for the new 15-week format. In addition, while the Electrical Engineering department currently offers approximately five weeks of RADAR-focused laboratory material within EE 424: Intro to Remote Sensing, this limited exposure is insufficient to provide students with a comprehensive understanding of RADAR theory and practical applications. The semester conversion presents a timely opportunity to expand this existing five-week RADAR segment into a full 15-week course that integrates both lecture and laboratory content. To address the current curriculum gap, we have seamlessly extended the RADAR exercises …

Vision-Guided Motion Planning For Autonomous Catch With A Robotic Arm, Kayla Go-Oco, Ashik K. Islam, Raegan Gritzmacher

Electrical Engineering

Modern robotic systems are often evaluated using static and highly controlled tasks, such as pick-and-place demonstrations, which do not fully represent the uncertainty and adaptability required in real-world environments. A major challenge in robotics research is enabling robotic systems to perceive, track, and respond to dynamic objects in real time while maintaining accurate and reliable motion control. This project addresses these challenges by developing an autonomous robotic platform in which an OpenMANIPULATOR-Y robotic arm detects, tracks, and attempts to catch a moving tennis ball using a vision-guided control system. The system integrates YOLO-based object detection with an Intel RealSense D455 …

Shared Language For Responsible Ai Integration, Asa B. Stone, Mark C. Stone, Alisha Bevins, Jean Claude Niyomugabo, Irene Magara, Jacob Abaare, Derek M. Heeren, Mubarak Abu Zouriq

PRAIRIE: Pioneering Responsible AI for Research, Innovation, and Education

As AI rapidly reshapes how we work and learn, employers increasingly seek graduates who can think before they prompt, exercising judgment under pressure rather than merely producing output. Yet students are praised for AI use in one course and penalized for it in the next, and faculty are left to lead responsibly on shifting ground, with no shared language to guide them.

This paper introduces the PRAIRIE Framework for AI Integration, a shift from reactive gatekeeping toward proactive stewardship. It emerged from a qualitative sentiment analysis of three communities (students, faculty, and industry partners) whose concerns converged on one need: …

Teaching Learning Newsletter Vol 6 Issue 1, Sastra Deemed To Be University

TLC Newsletter

No abstract provided.

Nanofluid Flooding As A Sufficient Alternative To Waterflooding For Incremental Oil Recovery From Carbonate Reservoirs, Sarmad Al-Anssari, Dhifaf Sadeq, Hassanain A. Hassan, Ahmed Hamid Al-Taie, Hasan Ali Abood, Mohammed Mahdi, Zain Ul Abedin Arain

Research outputs 2022 to 2026

Oil recovery from carbonate reservoirs is one of the critical challenges in the oil industry due to the strongly oil-wet nature, natural fractures, and the heterogeneity of carbonate rocks. Subsequently, waterflooding can only displace oil from large fractures, leaving the majority of oil trapped in the rock matrix. This work suggests that nanofluid flooding, as a predesigned flooding method, is an alternative to conventional waterflooding. Various concentrations of silica nanofluid at different nanoparticle concentrations were formulated and systematically investigated for their characteristics, stability at reservoir conditions, and their influence on wettability and oil recovery. Silica nanoparticles were sustainably synthesized from …

Deficient Executive Control In Transformer Attention, Suketu Chandrakant Patel, Hongbin Wang, Jin Fan

Publications and Research

Although transformers in large language models (LLMs) effectively implement a self-attention mechanism that has revolutionized natural language processing, they lack an explicit architecture for the executive control of attention found in humans, which is essential for resolving conflicts and selecting relevant information in the presence of competing computations and is critical for adaptive behavior. To investigate the impact of this limitation in LLMs, we employed the classic color Stroop task, widely regarded as the gold standard, to test the executive control of attention in these models. Our results revealed a typical conflict effect of underperformance in terms of accuracy in …

Repurposing Electrical Waste Materials For Developing Corrosion-Resistant Medium Entropy Alloys, Iman El-Mahallawi, Shaza Raji Eng, Shimaa El-Hadad Prof., Mahmoud Tash Prof., Lamiaa Zaki Dr.

Mechanical Engineering

Reusing electrical waste as a sustainable metal source is a promising approach for producing next-generation alloys. In this work, vacuum arc melting (VAM) was used to produce three aluminum-based medium-entropy alloys (AlCuFeCrSi MEAs) from recycled electrical waste. The alloys contained Al in the range 36-46%; Cu in the range 28-35%; Fe in the range 11-18%; Cr in the range 5-6%; and Si in the range 3-6%, with variations in elemental composition resulting from the use of different recovered electrical waste components. Their corrosion performance was evaluated at room temperature, in a 3.5% NaCl solution with and without 1 g/L Mn …

Validation Of Electromagnetic Shower Development In A Reduced Alice Focal-E Detector Model Using Geant4, Isaac Lara Romo

Physics

This project focuses on the preliminary simulation of a reduced FoCal-E detector model for the ALICE experiment at CERN. Beamline tests were simulated using an electron gun at various incident energies, and the results were compared with those of the FoCal group. The longitudinal charge deposition per sensor layer was compared between the two setups to verify that the reduced model exhibited expected calorimeter behavior. Additionally, the transverse signal across the high-granularity sensor layers was examined to determine whether the reduced model reproduced the expected lateral development of electromagnetic showers. The results obtained from these measurements show that the reduced …

Hydpn: A Hybrid Deep Reinforcement Learning, Programming, And Neighborhood Operations Framework For Integrated Scheduling On Parallel Batch Processing Machines, Yuqi Wang, He Luo, Guoqiang Wang, Zhaoxia Wang

Research Collection School Of Computing and Information Systems

Batch processing machines (BPMs) are widely used in industries such as semiconductors, metal processing, and healthcare, where jobs are processed in batches. As production, inventory, and distribution become increasingly integrated to improve efficiency, research on their joint scheduling in parallel BPM environments remains scarce. This paper addresses the integrated scheduling problem in parallel BPMs, involving production, inventory, and distribution stages, with the objective of minimizing total costs. A unified cost-based model is first formulated, applicable to both in-facility and external distribution scenarios. A hybrid algorithm framework, HyDPN, combining deep reinforcement learning, dynamic programming, and neighborhood operations is proposed. Extensive experiments …

Enhanced Triboelectric Effect Using Functionalized Multiwalled Carbon Nanotube-Coated Fiber Mats For Biomechanical Energy Harvesting, Fernando Viesca, Diego De Leon, Kevin Alejandro, Rigobert Ybarra Jr., Md. Wasikur Rahman, Victoria Padilla, Horacio Vasquez, Karen Lozano, M. Jasim Uddin

Mechanical Engineering Faculty Publications

Triboelectric nanogenerators (TENGs) have emerged as a cutting-edge technology for developing self-powered wearable electronic devices. In this study, TENGs were fabricated using two fiber mats: forcespun polytetrafluoroethylene (FS-PTFE) microfibers and electrospun polyvinyl alcohol (ES-PVA) nanofiber (NF) mats. The FS-PTFE mats were coated with functionalized multiwalled carbon nanotubes (MWCNTs). Functionalized MWCNTs were dispersed in water-based solutions containing three different surfactants—sodium dodecyl sulfate, sodium dodecylbenzene sulfonate, and Triton X-100 to enhance fiber interaction. The NF mats were subsequently immersed in aqueous systems. The surfactant facilitated the uniform deposition of COOH-MWCNTs onto the FS-PTFE fibers, serving as a negative layer, while ES-PVA mat …

Public Preferences For Critical Mineral Mining In The U.S.: Evidence From A Discrete Choice Experiment, Bamidele Ajiga, Kwame Awuah-Offei, Mahelet G. Fikru

Mining Engineering Faculty Research & Creative Works

Even though there is widespread recognition that we need to mine more critical minerals for national security and energy needs, concerns about environmental impacts often lead to public opposition to proposed new mining projects. The literature lacks sufficient data from communities with proposed mineral projects to assess drivers of differences in support. This study investigates public preferences for mining projects in three states in the United States with proposed critical minerals projects, using a discrete choice experiment. Respondents evaluated projects that vary in job creation, state tax revenue, tailings reprocessing content, groundwater impacts, and surface water impacts. We also randomly …

Review Of Recovery Processes Of Palladium, Platinum, Gold, And Silver From Metallurgical Wastes, Luis Sanchez-Calderon, Marthias Silwamba, Lana Alagha

Mining Engineering Faculty Research & Creative Works

Gold (Au), silver (Ag), platinum (Pt), and palladium (Pd) are precious metals with high economic value and critical industrial significance. Platinum and Pd, in particular, are classified as critical metals by major economies such as the United States, European Union, Japan, and South Korea due to their limited supply and essential roles in clean energy and high-technology applications. The rising market value and criticality of these metals have generated interest in their recovery, not just from primary ores and traditional source materials but also from secondary sources, such as metallurgical wastes. This review provides a thorough evaluation of current and …

Mechanism-Based Assessment Of Respirable Dust Exposure In Miners: Integrating Cfd-Dpm Simulation With Personalized Monitoring For Occupational Health Risk, Jiajun An, Fan Geng, Yuqing Feng, Changgeng Gui, Shihang Li, Xinjian He, Guang Xu, Zheng Zhang, Yibao Wang

Mining Engineering Faculty Research & Creative Works

Respirable dust in confined mine environments represents a significant environmental and occupational health challenge, requiring advanced monitoring and risk assessment methodologies. Current area-level monitoring overlooks the heterogeneity of personal exposure fields and the critical influence of human-ventilation interactions on local contaminant dispersion. This study develops an integrated monitoring-simulation method to quantify multi-worker dust exposure, assessing how worker position and orientation modulate risk under forced ventilation in narrow roadways. Occupational-specific dust sampling provided validation data for a three-dimensional Computational Fluid Dynamics-Discrete Phase Model (CFD-DPM) incorporating human-ventilation interactions. The model integrates a MATLAB-developed breathing function to dynamically couple respiratory cycles with particle …

Exploiting Underground Mine Topology For Resilient Concurrent Lora Mesh Emergency Communications: Architecture, Protocol Design, And Performance Analysis, Hilary Kelechi Anabi, Samuel Frimpong, Muhammad Azeem Raza

Mining Engineering Faculty Research & Creative Works

Underground mine emergencies compromise fixed communication infrastructure exactly when situational awareness is most critical for effective rescue operations. Existing LoRa mesh protocols fail in underground mines because they ignore the structured topology of tunnel networks, specifically the waveguide effect along straight galleries, severe signal discontinuity at junctions, and the dead-end geometry of working faces. This paper presents the Topology-Aware Concurrent LoRa (TACL) mesh protocol, in which each node autonomously infers its structural role from local RF observations and packet header information, without GPS, pre-loaded mine maps, or central coordination. Role classification resolves the contender estimation problem (Formula presented.) left open …

Effect Of Allocation And Allocation Avoidance Methods On Life-Cycle Impact Results For Tellurium Production From Copper Anode Slimes, Ioanna Paschalidou, Kwame Awuah-Offei, Michael Moats

Mining Engineering Faculty Research & Creative Works

The global transition toward green energy has increased demand for metals and intensified the need for sustainable supply sources. Tellurium (Te), an essential metal for photovoltaics technology, is produced primarily as a by-product of copper refinery slimes treatment. This study conducts a life-cycle assessment (LCA) study of Te production to investigate the effect of environmental impact allocation choices on LCA results in multi-product metal systems. A cradle-to-gate LCA model of the Te product system was developed in SimaPro v9.5.0.1 software by combining industrial data, Ecoinvent v3.7.1 datasets, and literature information. Environmental impacts were quantified using the ReCiPe v1.04 Midpoint method …

Low-Cost Path-Loss Characterization For Underground Mine Tunnels Using Lora Transceivers At 915 Mhz, Hilary Kelechi Anabi, Samuel Frimpong, Muhammad Azeem Raza

Mining Engineering Faculty Research & Creative Works

Accurate path-loss models are essential for planning reliable wireless networks in underground mines, yet existing characterization studies rely on specialized channel sounders and vector network analyzers costing tens of thousands of dollars, placing them beyond the reach of most mine operators. This paper demonstrates that LoRa transceivers costing approximately US $15 per node can serve as a self-contained path-loss measurement instrument, logging the received signal strength indicator (RSSI) and signal-to-noise ratio (SNR) directly to a CSV file over a standard USB serial connection. A measurement campaign conducted at the Missouri S&T Experimental Mine on 31 March 2026 collected 4801 packets …

2–4 Ghz Reconfigurable Rf Filters, Jason Corn, Roman Junes

Electrical and Computer Engineering Senior Theses

Wireless communication systems employ radio frequency (RF) filters to isolate desired signals while suppressing interference and noise. Conventional RF filters rely on fixed-frequency architectures that restrict system operation in increasingly dynamic communication environments. This project features the design and optimization of a reconfigurable RF filter prototype using coupled microstrip resonators and electronic tuning components. The filter design demonstrates a tunable range of 2−4 GHz. Future design of reconfigurable microstrip architectures must take steps to maintain signal integrity across active elements. Power loss may be mitigated through the selection of higher quality factor components and less lossy prototyping materials.

Thermodynamic Modeling Of Ph Impacts On Subsurface Microbial Consortia, Jackfin K C

Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research

Underground hydrogen storage is affected by microbial consumption, and the different minerals present in the subsurface. However, most studies consider either biotic or abiotic factors in isolation and hence, the conditions that drive a self-sustaining storage remain poorly understood. This thesis uses a genome-informed thermodynamic model developed by Kharel et al. (2026) in which pH is the central variable coupling hydrogenotrophic microbial metabolism, inter-species competition, and carbonate mineral buffering. The model includes four hydrogen-consuming species: methanogen (Methanobacterium), acetogen (Acetoanaerobium), aerobic acetate oxidizer (Pseudomonas stutzeri), and sulfate reducer (Nitratidesulfovibrio) by conditioning each organism's …

Robotic-Assisted Pedicle Screw Placement Achieves High Accuracy And Narrows The Experience Gap: A Preclinical Evaluation, Anna T. Reza, Matthias Walper, Mitchell K. Ng, Paul G. Mastrokostas, Andrew S. Lee, Rafael G. Rafael, Kornelis A. Poelstra, Ratliff K. John, Rajiv K. Sethi, Michael A. Mont

Rothman Institute Papers

To assess a robotic-assisted system versus open manual techniques to: (1) compare pedicle screw accuracy between fellows and attendings with and without robotic assistance, and (2) evaluate executed versus planned trajectory fidelity relative to prior reports. Robotic-assisted spine systems aim to improve the accuracy, reproducibility, and safety of pedicle screw placement. Limited evidence compares outcomes across differing surgeon experience levels. A total of 255 thoracolumbar pedicle screws were placed in synthetic torsos simulating adult degenerative anatomy. Four surgeons (two fellows, two attendings) each placed half their screws using open fluoroscopy-guided techniques and half using a minimally invasive percutaneous approach with …

Sanitizing Manufacturing Dataset Labels Using Vision-Language Models, Nazanin Mahjourian, Vinh Nguyen

Michigan Tech Publications

The success of machine learning models in industrial applications is heavily dependent on the quality of the datasets used to train the models. However, large-scale datasets, especially those constructed from crowd-sourcing and web-scraping, often suffer from label noise, inconsistencies, and errors. This problem is particularly pronounced in the manufacturing domain, where obtaining high-quality labels is costly and time-consuming. This paper introduces Vision-Language Sanitation and Refinement (VLSR), which is a vision-language-based framework for label sanitation and refinement in multi-label manufacturing image datasets. This method embeds both images and their associated textual labels into a shared semantic space leveraging the CLIP vision-language …

Project Strata, Hobbs Hegedus, Antony Chen, Adrian Scancich, Peter Constantine Psefteas, Ryan Kreis Roth, Jack Douglas Mitchell

Mechanical Engineering

Project STRATA is a lunar sample acquisition and storage system developed in support of NASA’s Artemis mission objectives and the 2026 NASA RASC-AL competition. The overall mission concept utilizes a dual-rover architecture consisting of HARVEST, a sample collection rover, and SILO, a storage rover designed to preserve and organize lunar ice-regolith core samples collected from permanently shadowed regions (PSRs) near the lunar south pole. These regions contain scientifically valuable volatile-rich materials but present significant challenges due to extreme cryogenic temperatures, abrasive lunar regolith, and the absence of solar energy.

This report is a collection of all major work from the …

Compressor Rotor Joints And Interference Fit Study, Isabela Jimenez, Aubrey Perez, Isaiah Guerrero, Jireh Velasquez

Mechanical Engineering

Solar Turbines need a comprehensive study on the effects axial and radial inference fits have on turbine compressor rotor stiffness. The aft weldment of the compressor has press-fit dowel pins and pilot joints to connect one weldment section to another. These fits need to be assessed through a finite element modal analysis, as well as practically tested through modal impacts to investigate how the fits affect the stiffness of the turbine’s connected weldments. The experimental data will be used to validate the finite element analysis (FEA) model.

Raytheon Rtx Autonomous Vehicle Competition (Avc) - Unmanned Ground Vehicle (Ugv), Bryant Jonathan Martinez-Bautista, Geovanni Lara, Jared Herrera, Jose Barrera

Mechanical Engineering

Raytheon RTX has four universities participating in a competition to successfully complete various challenges with a UAV and UGV including navigation and landing. The students must work collaboratively to integrate and manufacture a working UGV that is compatible with the UAV.

Our sponsor is Raytheon, more specifically Mr. Luis Esparza. Important stakeholders also include Cal Poly and the entire team of ME & CPE working on the project. Raytheon and Luis are looking for innovative solutions that can be applied for real world scenarios where UAV’s and UGV’s are applied. Cal Poly is gaining recognition, and the team is gaining …

Peltier-Based Hydration Accumulation Terminal (P.H.A.T.), Jenner Mucher, Ethan Pace, Renee Robolledo, Sabrina Luo, Taehoon Lee, Tarsem Pal

Mechanical Engineering

The objective of this project is to design an innovative potable water dispenser capable of safely delivering hot, ambient, and chilled water on demand for human lander missions. The system will support astronauts’ hydration and food rehydration needs while minimizing mass, power, maintenance, and contamination risks in microgravity and partial-gravity environments. Current spacecraft dispensers, such as the International Space Station (ISS) system, provide only heated water and have limited temperature control, cleaning accessibility, and microbial resilience. Building on NASA heritage designs and lessons learned from the ISS Potable Water Dispenser, this project advances a lighter, simpler, and more energy-efficient concept …

Mass - Modular Acoustic Suppression System, Julia Megargle, Michael A. Milner, Lucas Kaemmererer, Jonathan Corvera, Gabriel Choi, Emmi Cayer

Mechanical Engineering

The Modular Acoustic Suppression System (MASS) is a mass tuned damper that reverberates a membrane atop a cavity to absorb select acoustic frequencies produced by the Environmental Control and Life Support Systems (ECLSS) within NASA's Artemis Human Lander. The height of the reverberation chamber is adjusted to mitigate a range of varying tonal frequencies within the human lander.

Electronic Bike Chopper, Caleb S. Bermack, Joey Lederer, Ethan Dea, Evan Herrera, Fred Agregado

Mechanical Engineering

Our sponsor, David Royce, built an initial e-bike chopper prototype and desired an improved, next generation version. Our team designed and manufactured an electric bicycle to achieve the rugged visual style of a classic chopper motorcycle while improving stability and usability. The team built a functional E-Chopper prototype using a 4130 steel frame, custom dropouts, a long front fork, wide rear tire, ape-hanger handlebars, and prebuilt electric components such as the battery, hub motor, controller, throttle, and display. The design focused on reducing excess weight, improving frame rigidity, and meeting California e-bike regulations.

Buell Motorcycle Extended Swing Arm, Joseph Camuccio, Riley Clark, Vincent Sclimenti, Tristan Turcios

Mechanical Engineering

Buell motorcycle riders, including our sponsor Rick Lasko, need a way to easily and affordably manufacture and replace their swing arms with extended versions (4”, 8”, 12”, and 16”) that maintain the stock Buell aesthetic while also meeting the safety standards required for performance-intensive applications, such as drag racing. Each extended swing arm must be just as safe, strong, and rigid as the original swing arm. Currently, there is no convenient and affordable solution to this problem, which is why our sponsor, Rick Lasko, wanted a validated, repeatable manufacturing process and design that would allow riders to safely and consistently …