Engineering Commons^™

From Vigilance To Veracity: Hallucination Detection, Mitigation, And Safety Enhancement In Large Language Models, Sharanya Dasgupta

Master’s Dissertations

Human cognition, driven by complex neurochemical processes, oscillates between imagination and reality and learns to self-correct whenever such subtle drifts lead to hallucinations or unsafe associations. In recent years, large language models (LLMs) have garnered widespread attention due to their adeptness at generating innovative responses to the given prompts across a multitude of domains, yet they exhibit a critical limitation: the propensity to produce factually incorrect and potentially harmful content while preserving syntactic coherence and logical structure. In this work, we hypothesize that these deficiencies in LLMs originate from their internal representational dynamics. Our observations indicate that, during passage generation, …

Enhancing Autonomous Truck Navigation In Underground Mines: A Review Of 3d Object Detection Systems, Challenges, And Future Trends, Ellen Essien, Samuel Frimpong

Mining Engineering Faculty Research & Creative Works

Integrating autonomous haulage systems into underground mining has revolutionized safety and operational efficiency. However, deploying 3D detection systems for autonomous truck navigation in such an environment faces persistent challenges due to dust, occlusion, complex terrains, and low visibility. This affects their reliability and real-time processing. While existing reviews have discussed object detection techniques and sensor-based systems, providing valuable insights into their applications, only a few have addressed the unique underground challenges that affect 3D detection models. This review synthesizes the current advancements in 3D object detection models for underground autonomous truck navigation. It assesses deep learning algorithms, fusion techniques, multi-modal …

Technical Communication Instruction Partnership With Engineering Faculty, Ashley S. Mcguire, Michael M. Lipscomb

Libraries Professional Work

Graduate students in STEM fields are often expected to communicate – both in writing and orally – at a professional level by the time they submit their theses and dissertations. Unfortunately, many graduate students lack opportunities to learn how to do that in a STEM setting. An informal review of US programs revealed that many offer writing courses modeled on traditional composition courses, which are not necessarily directed to the needs of STEM students. Further, many of these courses provide a series of isolated learning modules with little continuity or encouragement to revise and in which technological writing assistance is …

Circular Economy In Construction: Decision-Making Factors And Future Research Avenues, Bahaa Chammout, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The construction sector is a major consumer of raw materials and a significant contributor to environmental degradation. Circular economy (CE) - an economic and systemic approach aimed at minimizing waste and fostering sustainable resource use - offers a remedy for these impacts. However, CE adoption in construction remains under-researched and limited. Accordingly, there is a need to provide a comprehensive understanding of CE decision-making factors in construction. This paper addresses this research need. First, the authors reviewed 138 journal articles on CE in construction, published between 2015 and 2023, and compiled a comprehensive list of 40 factors influencing CE decision-making. …

Measurement And Process Relation For Cast Surface Defects, Nachiket Laxman Shinde

Masters Theses

This thesis presents an in-depth investigation into the classification and prediction of surface defects in aluminum sand castings using a combination of experimental trials and machine learning techniques. Key process variables such head height, pouring temperature, resin %, sand type and process were systematically varied to study their influence on defects like veining, and burn-on. Comparative analysis indicated superior performance of the deep learning model in handling nonlinear interactions between process parameters. The study emphasizes the importance of integrating data-driven models with foundry practices to enhance surface quality, reduce rework, and support intelligent decision-making in casting operations.

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.

Open-Source Cubesat Flight Software And Simulation, James Gruber

Computer Engineering

An open-source FreeRTOS-based flight software framework for CubeSats, with an example flight software package and simulation demonstrating real-time attitude control.

Efficient Thermal Design Of Data Centers, Keats M. Baggett, Andrew Ergood, Colin Brace, Jack Zilligen

Mechanical Engineering

Our sponsor needs a way to categorize and quantify the top 3 colocation center sites based on a series of criteria for given power specs. The sponsor also needs a single innovative cooling method to meet thermal and power requirements while also being manufacturable at scale. This device must also be able to interact with the given Colocation Heating Ventilation and Air Conditioning (HVAC) system. This design will be tested to provide insight and data that will be applicable to further the development of colocation center cooling. This project will be executed by the Cal Poly senior project team and …

Aerospace Fastener Installation Tool, Anthony I. Berghout, Matthew K. Eggers, Liam Dunsmore, Jose Pardo

Mechanical Engineering

Contamination, particularly in aerospace manufacturing environments, is a significant concern, especially with fastener designs that incorporate torque-rated breakaway pieces for easier installation. These breakaway pieces are also known as pintails. Howmet has tooling that can collect loose pintails during installation, but they have small capacities and are not ergonomic for aerospace technicians. Their current need is for a light and ergonomic tool capable of installing a wide variety of Ergo-Tech® fasteners while having a large capacity to collect pintails and improve aerospace manufacturing methods. For this Critical Design Stage, we have finalized a design that allows Pintails to pass through …

2-Axis Solar Panel Tracker, Danica Wong, Oliver Barnaal, Anton Orme

Mechanical Engineering

Solar panels generate energy from sunlight. To do this it’s important that they remain pointed at the sun throughout the day. The Cal Poly Micro Grid Lab runs a class that uses a student made solar panel and tracking mount as an instructional tool. This project is beginning to show signs of wear from outdoor use and is unable to run without constant input due to some significant design flaws. The lab needs a new version of the mount to be made that is significantly more reliable and easier to use.

Edwards Lifesciences: Esheath+ Scoring Automation, Tony Lee Avina, Kirth Hirth, Charith Sunku, Humberto Salazar-Banuelos

Mechanical Engineering

Due to a non-disclosure agreement with our sponsor, Edwards Lifesciences, the contents of the report have been omitted.

Kinetic, Wind-Driven Metal Sculpture, Irene Songhee Han, Aiden Brown Largay, Madeline Vang Xiong

Mechanical Engineering

The Interdisciplinary Senior Design Team “Flying Flora” from Cal Poly’s College of Engineering has been tasked with designing and building a wind-driven dynamic metal sculpture for the San Luis Obispo Botanical Garden. The botanical garden wants to fill a large, centrally located vacant space with a kinetic sculpture to attract and welcome visitors. The final design, as approved by the garden’s directors, features a large metal California poppy below a stained-glass and metal butterfly. The flower rotates smoothly in typical wind conditions, drawing the attention of visitors to the sculpture. The butterfly is stationary, positioned at an angle from the …

Aluminum Boat Rotation Fixture, Kevin W. Heiskell, Nathaniel M. Conway, James S. Knowles, Austin J. Kehl

Mechanical Engineering

Aluminum fishing boats are widely used for various water-based activities, including fishing, transportation, and recreation. Their lightweight construction makes them ideal for maneuverability, particularly in regions like Australia. However, the manufacturing process presents challenges, specifically the need to weld both the interior and exterior seams of the hull. As the boat’s weight increases during assembly, flipping it becomes difficult and potentially hazardous. Traditional methods such as cranes or forklifts are inefficient and pose safety risks. To address this, our team developed a rotating fixture that secures the boat at two connection points, one at the bow and one at the …

How Long Can I Transmit? A Mobility Aware Mmwave-Based Uav Communication Framework, Shawon Mitra

Master’s Dissertations

One primary focus of next generation wireless communication networks is the millimeterwave (mmWave) spectrum, typically considered in the 30 GHz to 300 GHz frequency range. Despite their promise of high data rates, mmWaves su↵ers from severe attenuation while passing through obstacles. Unmanned aerial vehicles (UAVs) have been proposed to o↵set this limitation on account of their additional degrees of freedom, which can be leveraged to provide line of sight (LoS) transmission paths. While some prior works have proposed analytical frameworks to compute the LoS probability for static ground users and a UAV, the same is lacking for mobile users on …

Microstructural Evolution And Rheological Enhancement Of Asphalt–Rubber Binders: Unveiling The Role Of Morphology In Performance, Eslam Deef-Allah, Mohyeldin Ragab, Mohamed Attia, Magdy Abdelrahman

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Understanding the development of an asphalt binder's internal network structure is essential when interacting asphalt and crumb rubber. Thus, the focus of this study was to reveal the development of asphalt–rubber binders' (A-RBs) network structures at different interaction times and their correlation with performance. Atomic force microscopy (AFM) was utilized to image the morphologies of the binders, and the binders' performances were explored rheologically with a dynamic shear rheometer. Extending the interaction time to 8 h and utilizing a soft binder altered the network structures from agglomerated dispersoids—minuscule distributed phase zones embedded in the continuous matrix of the asphalt binder—to …

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.

Experimental Evaluation Of Novel Nano Polymer Hybrid Enhanced Oil Recovery In Carbonate Reservoir, Altamish Ahmed Pakeer

Theses

Innovative enhanced oil recovery (EOR) strategies are needed to unlock additional reserves in heterogeneous, oil-wet carbonate reservoirs. This study evaluates hybrid nano-polymer flooding by integrating silica nanoparticles (SiO₂) and single-walled carbon nanotubes (CNT) with novel HPAM polymers (Sav10 and Sav10 VHM) to optimize wettability alteration, rheological parameters, and recovery mechanisms.

A comprehensive experimental approach was employed, where rheological tests assessed viscosity enhancement under varying shear conditions, and wettability alteration was quantified via contact angle measurements using HPAM-SiO₂, HPAM-CNT, Sav10 VHM-SiO₂, and Sav10 VHM-CNT systems. Core floods were performed in three consecutive phases; waterflooding (baseline), standalone nanoparticle flooding, and hybrid nano-polymer …

Investigation And Prediction Of Excessive Water Production In Bottom Water-Drive Naturally Fractured Reservoirs Using Machine And Deep Learning, Sami Abderraouf Belkhir

Theses

Naturally Fractured Reservoirs (NFRs) are characterized by dual-porosity and dual-permeability systems, posing significant challenges in managing water production due to highly conductive fracture networks that facilitate rapid water migration from bottom aquifers, often bypassing oil stored in the matrix, thus resulting in early water breakthrough and water channeling phenomena. The main objective of this thesis is to develop and validate deep learning and machine learning models to predict water production, water breakthrough time (tbt), and ultimate water cut (WCult) in NFRs, thereby enabling more effective reservoir management strategies. This work also aims to evaluate the sensitivity of water behavior to …

Utilizing Date Fruit Pomace As A Corrosion Green Inhibitor For Non Ferrous Alloys, Sardor Rustam Odilov

Theses

This thesis explores a novel green corrosion inhibitor derived from date fruit pomace extract (DFPE) for the protection of aluminum alloy 3003 in highly corrosive environments, specifically hydrochloric acid (HCl) and natural seawater. The central aim is to promote the sustainable reuse of agro-waste as an effective and eco-friendly alternative to conventional toxic inhibitors, aligning with environmental and industrial safety goals.

A comprehensive methodology was employed, including Soxhlet extraction (using both non-polar n-hexane and polar methanol-water solvents), rotary evaporation, and FTIR analysis to identify the active functional groups responsible for inhibition. Corrosion behavior was systematically evaluated using both mechanical (weight …

Effects Of Vertical Reinforcement On The Shear Performance Of Uhpc Deep Beams With Synthetic And Steel Fibres, Hossein Mirzaaghabeik, Sanjay Kumar Shukla, Nuha S. Mashaan

Research outputs 2022 to 2026

This study examines the shear behaviour of ultra-high-performance concrete deep beams (UHPC-DBs) reinforced with three fibre types: 2 % hooked-end (HE) steel fibres, 0.76 % 5D steel fibres, and 0.11 % Forta-Ferro (FF) synthetic fibres. It evaluates the effects of fibre type, fibre content, vertical web reinforcement (ρsv), and shear span-to-depth ratio (λ) on shear capacity. Load-deflection curves, crack patterns, and ρsv strain were analysed, and the optimal ρsv was determined using the particle swarm optimization (PSO) algorithm to maximise shear capacity while minimising costs. Findings reveal that, compared to specimens without ρsv, those with ρsv = 0.38 % exhibit …

A Predictive Model For The Shear Capacity Of Ultra-High-Performance Concrete Deep Beams Reinforced With Fibers Using A Hybrid Ann-Anfis Algorithm, Hossein Mirzaaghabeik, Nuha S. Mashaan, Sanjay Kumar Shukla

Research outputs 2022 to 2026

Ultra-high-performance concrete (UHPC) has attracted considerable attention from both the construction industry and researchers due to its outstanding durability and exceptional mechanical properties, particularly its high compressive strength. Several factors influence the shear capacity of UHPC deep beams, including compressive strength, the shear span-to-depth ratio (λ), fiber content (FC), vertical web reinforcement (ρsv), horizontal web reinforcement (ρsh), and longitudinal web reinforcement (ρs). Considering these factors, this research proposes a novel hybrid algorithm that combines an adaptive neuro-fuzzy inference system (ANFIS) with an artificial neural network (ANN) to predict the shear capacity of UHPC deep beams. To achieve this, ANN and …

Robust Adaptive Fractional-Order Pid Controller Design For High-Power Dc-Dc Dual Active Bridge Converter Enhanced Using Multi-Agent Deep Deterministic Policy Gradient Algorithm For Electric Vehicles, Seyyed Morteza Ghamari, Daryoush Habibi, Asma Aziz

Research outputs 2022 to 2026

The Dual Active Bridge converter (DABC), known for its bidirectional power transfer capability and high efficiency, plays a crucial role in various applications, particularly in electric vehicles (EVs), where it facilitates energy storage, battery charging, and grid integration. The Dual Active Bridge Converter (DABC), when paired with a high-performance CLLC filter, is well-regarded for its ability to transfer power bidirectionally with high efficiency, making it valuable across a range of energy applications. While these features make the DABC highly efficient, they also complicate controller design due to nonlinear behavior, fast switching, and sensitivity to component variations. We have used a …

Data-Driven Machine Learning Applications For Predictive Modeling Of Petrochemical And Ecofriendly Systems, Noora Saleh Al Mansoori

Theses

Traditional experimental approaches in industrial processes, such as Fourier Transform Infrared Spectroscopy (FTIR) spectroscopy, thermogravimetric analysis (TGA), and well-drilling operations, are often constrained by time, cost, and operational limitations. This research explores the application of data-driven Machine Learning (ML)-based predictive modeling to improve efficiency and reduce dependency on resource-intensive experimentation. The study develops ML models for three distinct processes: FTIR intensity prediction of bitumen thermal cracking products, thermal degradation of Medium-Density Fibreboard (MDF) using TGA data, and Rate of Penetration (ROP) prediction in petrochemical industry. Six algorithms: Linear Regression (LinReg), Partial Least Squares Regression (PLSR), Support Vector Regression (SVR), Gradient …

Design And Development Of Hip Implants For Longevity Through Integrating Advanced Groove Structures And Additive Manufacturing, Asarudheen Abdudeen

Dissertations

This doctoral research concerns the design and optimization of hip implants (HIs) to enhance performance, durability, and improve patient outcomes by addressing the key issues of wear, deformation, and stress distribution. Innovative surface groove designs have been introduced to both a solid and a hollow femoral head with the aim of reducing friction and wear. The addition of grooves, with both a hemispherical and rectangular cross-section, onto the femoral head reduced friction, as debris produced by the inner liner was trapped within the grooves, significantly reducing adhesive wear. A numerical simulation study compared the effects of surface modifications both grooves …

Multifunctional Prospects Of Physical Vapor-Deposited Silver-Based Metal-Dielectric Nanocomposite Thin Films, Mohammad Nur-E-Alam, Boon Kar Yap, Mohammad Khairul Basher, Mohammad Aminul Islam, M. Khalid Hossain, Manzoore Elahi M. Soudagar, Narottam Das, Mikhail Vasiliev, Tiong Sieh Kiong

Research outputs 2022 to 2026

Silver-based metallic thin-film nanostructured materials are extensively utilized in advanced technological applications, including sensors, energy-efficient coatings, antibacterial coatings, and optical filters. Physical vapor deposition has emerged as a significant technique for synthesizing silver (Ag)-based nanocomposites, enabling the modification of structural and optical properties of thin metallic films. This advancement facilitates material development and applications in electronics, catalysis, magnetics, optics, environmental and health sectors, and specialized optical coatings. Research has demonstrated the successful integration of various nanomaterials with Ag matrices, resulting in multifunctional thin-film systems. Ag-based nanocomposite thin films exhibit exceptional electrical conductivity, rendering them suitable for electronic and optoelectronic devices. …

Investigation Of Retention And Dehydration Of Preformed Particle Gel For Conformance Control In Fractured Carbonates, Abdulaziz A. Almakimi, Abdullah O. Almansour, Junchen Liu, Baojun Bai, Ibnelwaleed A. Hussein

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Preformed particle gel (PPG) treatment has proved to be among the most effective methods to reduce excessive water production in fractured reservoirs. The blocking ability of PPGs to fractures or fracture-like features is highly dependent on injected gel properties and volume. Gel dehydration during extrusion through fracture is common and has a considerable effect on gel properties, transport, and plugging efficiency. As the gel particles propagate through the fracture, continuous dehydration is often associated and causes the gel to concentrate and require high-pressure gradients to move. Dehydration might be desirable to a certain limit because it can help to form …

Performance Evaluation Of Aminated Multi-Walled Carbon Nanotubes Incorporated With Green Synthesized Iron Nanoparticles For Toxic Dyes Sequestration From Textile Wastewater, Titus Chinedu Egbosiuba, Cynthia Chukwuemeka, Jonah Chukwudi Umeuzuegbu, Nwanneka Chibuzo Mmonwuba, Ugochukwu Ewuzie, Monday Uchenna Okoronkwo, Valentine Chikaodili Anadebe, Saheed Mustapha, Ambali Saka Abdulkareem, Jimoh Oladejo Tijani, Ashish Patel, Virendra Kumar Yadav

Chemical and Biochemical Engineering Faculty Research & Creative Works

This study evaluates the performance of aminated multi-walled carbon nanotubes (AM-MWCNTs) integrated with zerovalent iron nanoparticles (ZVI) synthesized using cashew leaf (Anacardium occidentale) extract (AM-MWCNTs@ZVI) for the removal of Congo Red (CR) and Methylene Blue (MB) dyes from textile industrial wastewater. The nanocomposite was characterized using FTIR, XRD, BET, HRSEM, and HRTEM analyses, confirming its functional groups, crystalline structure, and enhanced surface area of 1050.4 m²/g. The ecological risk degree of the textile pollutants was assessed to determine the percentage concentrations of crystal violet, Congo red, methyl orange, methylene blue and rhodamine B. Batch adsorption experiments identified optimal …

Effect Of Thermal History On The Fracture And Fatigue Behaviors Of Semi-Crystalline Polymers Prepared Via Material Extrusion Additive Manufacturing, Ava M. Lea, Khaled Matalgah, Arief Yudhanto, Trevor J. Fleck

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Material extrusion (MEX) additive manufacturing (AM) is transforming the design and production of complex structures, providing reliable on-demand components. However, the effect of thermal history on the resultant microstructure and damage tolerance of MEX-AM materials is not fully understood. This research investigates the critical role of interfacial thermal history, which is dependent on processing conditions, in determining the fracture and fatigue behaviors of semi-crystalline polymers, as exemplified by polyamide-6 (PA-6). Utilizing infrared thermography, the thermal history, and its dependence on nozzle temperature of extruded PA-6, was investigated. Quasi-static and cyclic tests of compact tension specimens were used to evaluate fracture …

Thermally Perfect Augmentation Of A Supersonic Inlet Design Tool That Uses Method Of Characteristics, Mario V. Guardado

Master's Theses

This work is the first in a series to augment a supersonic air inlet design tool based in Python 3 to incorporate new models that increase the range of applicability of the tool. This effort focuses on improving the thermodynamics model by incorporating a thermally perfect gas model. This tool utilizes method of characteristics to solve the governing equations for an inviscid, irrotational, isentropic, steady, supersonic flow field. Multiple test cases are used to assess the accuracy of all new models. A comparison is made between the original code’s test case for a supersonic inlet at low temperatures to verify …

Reverse Engineering Bring Up And Profiling Of Multi-Fpga Systems, Henry A. Evans

Master's Theses

FPGAs have long been used for prototyping and verifying high-speed digital designs in industry and in academic research. As ASIC designs have grown in complexity and size, prototyping those designs on FPGAs has required multiple FPGAs that sometimes span multiple servers. Western Digital donated multiple FPGA-based systems to Cal Poly in 2023. These servers contain multiple high-end AMD FPGAs that are ideal for prototyping large high-speed digital designs, however the full documentation on how to use the servers and how the servers work was not provided. The servers did not come with any information on how to program the FPGAs, …