Engineering Commons^™

Low Cost Ndvi Aerial Imager For Plant Health Monitoring, Roe Crawford , '25, Brandon Mickelson , '25

Senior Theses, Projects, and Awards

Due to the spread of Beech Leaf Disease, Swarthmore College and the Scott Arboretum expect to lose all of the beech trees on campus in the next five years. Methods of monitoring plant health are required to act as early warnings for tree loss so that the Arboretum can manage deadfall, erosion, and other adverse effects. Normalized Difference Vegetation Index (NDVI) is a multispectral imaging technique that can assess plant health. NDVI is a common satellite remote sensing technique that has shown promise in drone remote sensing applications. With recent decreases in the costs of optical components, we determined that …

Generating Electricity From The Matchbox Equipment, Syed A. Ali , '25

Senior Theses, Projects, and Awards

The Swarthmore College Matchbox is used by hundreds of students and faculty every day. The energy expended during the activity is dissipated and never transformed into useful energy. The focus of this project will be to retrofit pre-existing gym equipment so that any expended energy can be captured and converted into electrical energy. By using non-intrusive and compact mechanisms to design the model, the project would aim to provide renewable energy sources without drastically changing the workout experience itself. The first phase will be focused on generating enough electricity to power a small device, such as a cellular device, to …

Sustainable Residential Buildings In The Anthropocene: A Case Study Investigating Resilience Strategies For Tiny Houses, Angela Gil , '25

Senior Theses, Projects, and Awards

There is a growing need for affordable, sustainable housing solutions that minimize environmental impact while maintaining livability and safety. This project uses thermal and structural analysis techniques to develop and evaluate a resilient tiny house prototype for a case study in Banning, California. Background research included interviews with experts, such as San Tan Adobe, General Tiny Home, and Francisco Gil, which informed three preliminary designs incorporating a variety of building resilience strategies. These designs were synthesized into a conceptual prototype featuring a gable, wooden roof truss with a one-foot overhang, adobe walls, solar panels, and a raised foundation. This prototype …

‘To Zero By Thirty-Five’ Geoexchange System Optimization, Andrew Moy , '25

Senior Theses, Projects, and Awards

Swarthmore College’s ’To Zero by Thirty Five’ project involves the construction of a geothermal exchange plant to provide heating and cooling to campus buildings. This report follows the implementation of the project and the impact of building envelopes on the effectiveness of the system. Groups of potential upgrades and their impacts on building performance were analyzed using integer linear programming and the PuLP python library. This analysis provides recommendations on which buildings to upgrade according to the priorities of Swarthmore College.

Nauplius Swimming Robot, Adelle Robison , '25

Senior Theses, Projects, and Awards

Barnacle nauplii swim in conditions described by a low Reynolds number of around 2 as a result of their small size. It is not fully understood how their method of swimming allows them to move around in an environment with such a low Reynolds number. Additionally, it is unknown to what degree their horns, tail, and the hair-like bristles on their appendages contribute to their motion and their survival. The robot prototype created for this project mimics the features and swimming method of nauplii in order to help study nauplius locomotion and the functions of their unique morphology. Additionally, this …

Building A New System To Advance Vortex-Induced Vibration Energy Harvesting, Jacob Sherman , '25

Senior Theses, Projects, and Awards

When a cylindrical object is placed in a moving fluid of sufficiently high Reynolds number, vortices will form and be shed in the wake of the object. Vortex-Induced Vibrations (VIV) will occur on the cylinder when the frequency at which vortices are shed approached the natural frequency of the structure. Harvesting energy on a small scale from VIV is a promising new method of generating electricity from fluid motion, but more data is needed to investigate the parameter space for such a system [4]. The goal of this E90 project was to design and implement a robust system that could …

Silenttalk Final Report, Yihui Wu , '25

Senior Theses, Projects, and Awards

SilentTalk is a noninvasive communication system that uses ultrasound technology to detect and interpret silent speech by analyzing lip and facial movements. This E90 project presents the design, construction, and experimental evaluation of a speaker–microphone device capable of emitting and capturing ultrasonic waves in the 20–55 kHz range. Data wereadS collected under five distinct conditions, including various static mouth gestures, and analyzed using Root Mean Square (RMS) smoothing and Fast Fourier Transform (FFT) techniques. The results show that the distinct features in the time and frequency domains correspond to different mouth shapes, supporting the feasibility of silent gesture classification. A …

Jigsaw Puzzle Solving Robot, Jeffrey Zhang , '25

Senior Theses, Projects, and Awards

Jigsaw puzzles are an exciting activity that people of all ages love to do. This project seeks to develop a robot capable of solving jigsaw puzzles. To do so, I took a preexisting CNC mill and assembled the mill except the spindle. The mill ran using G-code, a programming language I learned. From here I created a program that can move the arm of the mill to any point chosen, and can move up and down, as a proof of concept for the robot. On the puzzle solving side, I started by first taking high resolution scans of the backs …

Closing The Loop: Solar-Powered Vermicomposter, Isabela Ibrahim , '25, Lindsey Turner , '25

Senior Theses, Projects, and Awards

Organic waste is oftentimes poorly managed and directed to landfill and incineration, as more sustainable alternatives such as traditional composting are not always accessible. Swarthmore College has a robust composting partnership offsite, however, it does not leverage avenues for waste stream circularity on campus to its full potential. Vermicomposting, composting that incorporates earthworms (Eisenia fetida), consists of a method to achieve small-scale and accessible composting. The goal of this project was to create an on-campus, low-maintenance, replicable, and sustainable vermicomposter to efficiently repurpose food waste from Swarthmore’s dining hall into nutrient-rich soil amendments for the adjacent Our Food Garden. …

Design And Characterization Of Radiation-Hardened Gaas Hbt-Based Optical Transceivers, Collin Burt

Electrical and Computer Engineering ETDs

Optical transceivers are desirable for their galvanic isolation and natural immunity to electromagnetic interference compared with direct electrical connections. This is true in normal operating environments as well as radiation environments. This work realizes and characterizes GaAs HBT-based optical transceivers across temperature and a range of radiation environments including high dose rate, total ionizing dose, neutron, and heavy ion. The transceiver designs are discussed and specific environmental design considerations are highlighted. Final results for each environment are provided and compared with existing transceivers.

Women Overcoming Barriers In Stem: How Mentors, Allies, And Sponsors Assist Career Trajectories In Higher Education, Leila Marie Romeo

Electronic Theses and Dissertations

This study focused on the personal narratives of women in STEM in both public and private higher education institutions within various roles. Specifically, the researcher aimed to determine the following: (a) if mentors/allies influence the career trajectories of women in STEM in higher education institutions and (b) if mentors/allies aid in the support of women in STEM in higher education institutions. The researcher used semistructured interviews with a narrative analysis to determine areas of struggle for the sample within their careers and how mentors, allies, and sponsors were present throughout their careers to help the women overcome these challenges. Data …

Emission Behavior At The Single Emitter Scale From A Porous Media Ionic Liquid Ion Source, Thomas Victor Kerber

Dissertations

Ionic liquid ion sources (ILIS) are being developed as one solution to fill a technology gap in low power, high efficiency, high specific impulse space propulsion systems. With a sufficiently intense electric field applied between an emitter electrode and an extractor electrode, charged particles are extracted from the fluid surface and accelerated out of the thruster. In this work, three experimental campaigns examine emission behavior of a single emitter ILIS made of porous material that allows passive propellant feed via capillary action of the ionic liquid 1-ethyl-3-methylimidazolium tetrafluoroborate (EMI-BF₄).

Repeated measurements of the emitter and extractor current as …

I-280 Wildlife Culvert, Gunner Craig, Tate Reese

Civil, Environmental and Sustainable Engineering Senior Theses

Interstate 280 (I-280) serves as one of two (2) main arteries between San Francisco and the peninsula and south Bay Area. Being situated through various nature reserves at the foothills of the Santa Cruz Mountains, I-280 creates a barrier between said mountains and surrounding areas, disrupting migratory patterns. The heavy usage of this road, along with natural migratory patterns of large and medium sized mammals in the area results in high amounts of wildlife vehicle collisions (WVC’s). In order to provide remedial efforts, the team explored various methods to alleviate WVC’s. Ultimately the final proposed design consisted of a cast …

Evaluating And Improving U.S. National Water Model Evapotranspiration Estimates Through Eddy-Covariance Flux Tower Observations And Machine Learning Post-Processing, Abin Raj Chapagain

Theses and Dissertations

Despite ET's critical importance in the hydrological cycle, very little has been done to provide ET forecasts at a national level. This study comprises two research chapters examining the National Water Model's (NWM) evapotranspiration (ET) simulations. In Chapter II, we conducted the first comprehensive NWM ET model performance assessment by comparing simulations to eddy-covariance flux tower measurements across the Continental United States (CONUS) on a high-resolution, 1 KM square grid. We clustered results by National Weather Service (NWS) River Forecast Centers (RFCs), land cover classifications, elevation bands, and Köppen-Geiger Climate Zones. The NWM performs best in the Northeast and Ohio …

Accurate And Scalable Control-Flow Differential Analysis On System Traces, Yuta Nakamura

College of Computing and Digital Media Dissertations

Debugging and understanding system behavior pose technical challenges, often necessitating the comparison of two audited execution traces. Although provenance systems execution traces, the audited traces at most enable causal analysis within a single known execution. As a result, utilizing provenance systems differential analysis thus for debugging and reasoning is a challenging task. This thesis addresses the challenge of using provenance in debugging by developing accurate and scalable methods for differential analysis of system provenance. Our approach emphasizes the importance of knowing the application’s provenance graph structure and embedding this graph structure information within traces to conduct a precise differential analysis …

Volatile Organic Compound (Voc) Sensing Trend Among Novel 2d/3d Materials, Mohammad Shakhawat Hossain

USF Tampa Graduate Theses and Dissertations

Volatile Organic Compounds (VOCs) present significant health risks to both humans and animals. Long term exposure to certain VOCs belonging to certain chemical classes can cause both short- and long-term effects including nausea, damage to the central nervous system, and cancer. VOCs can be found in various everyday products like varnishes, paints, cooking items, cleaning products, nail polishes etc. Because of their ubiquitous nature, health concerns and risks regarding VOC exposure have become even more pressing. In this study, the VOC sensing capabilities and trends of novel 2D, and 3D materials (perovskite, and phthalocyanines) have been explored through electrochemical and …

Automated Data Analysis For Concussion Patient Records: A Flutter-Based Desktop Application, Fhaheem Tadamarry

USF Tampa Graduate Theses and Dissertations

Concussions are a prevalent and complex medical condition requiring careful clinical assessment and data-driven insights for effective management. This thesis presents the development of an automated data analysis system for concussion patient records, integrating Flutter-based desktop application development with SQL-driven data processing. The system provides a streamlined, interactive interface for clincians and researchers to upload, visualize, and analyze patient data efficiently.

The proposed solution automates data cleaning, preprocessing, and statistical analysis, ensuring robust and reliable insights into demographic, clinical, and recovery-related factors. Key analyses include sex-based differences injury mechanisms, prior head injury impact, mood disorder correlations, and time-to-treatment variations. The …

Multimodal Ai-Driven Biomarker For Early Detection Of Cancer Cachexia, Sabeen Ahmed

USF Tampa Graduate Theses and Dissertations

Cancer cachexia is a metabolic syndrome characterized by substantial skeletal muscle loss, impacting cancer patients' survival and quality of life. Despite its clinical significance, early detection remains a challenge due to the lack of standardized diagnostic criteria and the reliance on indirect markers. This work presents an AI-driven approach to enhance cachexia detection and monitoring by integrating multiple deep learning methodologies. We explore transformer architectures for time-series analysis to model sequential medical data, enabling disease prediction and progression modeling. To ensure robust and reliable decision-making in clinical settings, we explore Bayesian deep neural networks for uncertainty estimation. Additionally, we introduce …

Enhancing Ai Reliability: Probabilistic Inference And Neural Optimization, Behnam Zeinali Rizi

USF Tampa Graduate Theses and Dissertations

Deep neural networks have recently shown better performance than traditional machine learning algorithms in various applications such as computer vision, natural language processing, indoor navigation, and biomedical signal/bio-informatics data processing tasks. However, some main challenges still exist when harnessing these models for different applications. The first challenge is the performance of these methodologies for some specific types of data, such as Biomedical images, IMU measurements, and even bioinformatics data, such as genome expression. Moreover, deploying these models on mobile and IoT devices is computationally challenging. Most devices use cloud computing, where powerful deep-learning models analyze the data on a server. …

Autonomous Underwater Vehicle Planning Using Hybrid D* Lite With Ppo And Td3: Experimental Design And Performance Analysis, Matthew J. Rice

Undergraduate Theses

Autonomous Underwater Vehicles (AUVs) face significant challenges in underwater navigation, including generating smooth paths, avoiding obstacles, and adapting to complex conditions. This paper introduces a hybrid path-planning algorithm, D-RL*, that integrates the D* Lite algorithm for efficient initial pathfinding with Deep Reinforcement Learning methods to refine paths for smoother trajectories. The proposed approach addresses D* Lite's inability to produce continuous, smooth paths and baseline Reinforcement Learnings’ failures in environments requiring significant detours. Experimental results in four progressively complex environments highlight D-RL*’s ability to plan smoother paths than D* Lite while training in a shorter amount of time and generating shorter …

Quantitative Risk Analysis For Elections, George A. Buras

LSU Master's Theses

This paper examines risk analysis and risk management in the field of election security. The purpose of this paper is not to enumerate risks to election security or explain how they might be mitigated, but rather to understand and improve how we measure and communicate those risks.

First, I contextualize election security risks by establishing what it means for an election to be secure and I give an overview of the types of events that might threaten election security. Then, I explore different methods that we can use to model electoral risks. Existing resources for managing electoral risks use qualitative …

Assessing Groundwater Availability And Land Subsidence Risk Associated With Anthropogenic Activities In A Complex Aquifer System, Aya Bakr Attya Mohamed

LSU Doctoral Dissertations

The Southern Hills aquifer system (SHAS) is the primary source of water in the Capital area of Louisiana. However, the overexploitation of freshwater-bearing aquifers and the presence of two active faults, the BR fault and the DSS fault, have resulted in groundwater depletion, saltwater intrusion, and increased the risk of land surface subsidence. Such critical issues pose substantial threats to groundwater availability and exert detrimental effects on the environment and urban infrastructures. This dissertation presents a comprehensive investigation of the SHAS for recognizing the consequences of groundwater depletion and its potential long-term impacts on groundwater availability and land stability. A …

Exploring Corona Discharge In Electrostatic Printing For Electronics And In Other Application, Zijian Weng

USF Tampa Graduate Theses and Dissertations

The field of printed electronics (PEs) is expanding rapidly, driven by increasing market demand. According to reports, the global market for PEs is expected to reach $23 billion by 2026, with a compound annual growth rate of 18.3% from 2023 to 2028. This growth necessitates the development of innovative printing technologies that can meet these demands efficiently, delivering high-quality, high-resolution PEs suitable for applications in health, environmental monitoring, sports, aerospace, and more.

Currently, PEs manufacturing relies on two main groups of printing technologies. Contact printing methods offer high-speed production but struggle with precision, while non-contact methods provide high resolution but …

Robust Spacecraft Autonomy For Deep Space Exploration In Special Euclidean Group Se(3), Matthew Wittal

Doctoral Dissertations and Master's Theses

Over the past half-century, humanity has gained extensive experience conducting manned spaceflight near Earth. Arguably, "near Earth" could even include the Moon — the most distant destination humans have reached. However, "near" in this work primarily refers low Earth orbit (LEO). One could argue that we have not truly left Earth since the Apollo, as spacecraft in some LEOs remain subject to atmospheric drag thus emphasizing their continued connection to Earth's immediate environment. Reflecting on this, it becomes clear that humanity has largely remained bound to Earth’s immediate vicinity since the Apollo missions reached the Moon. However, that is set …

The Asset Management Optimization Engine: An Ai And Machine Learning Model Approach To Pavement Asset Management, Matt Versdahl

USF Tampa Graduate Theses and Dissertations

While state Departments of Transportation (DOT) face major funding challenges, the need to find optimal ways to preserve and maintain pavement assets remains. Asset management employs a lowest cost lifecycle method to analyze asset costs and determine the best investment strategies to preserve it throughout its lifecycle. As new technology emerges, so do opportunities to leverage it. DOTs collect a significant amount of performance data on pavement and use it to decide how to keep it in a state of good repair. The literature in this area focuses on engineering techniques applied to treatment strategies. This dissertation research focuses on …

Modeling And Characterization Of On-Orbit Servicing Architectures For Efficient Mission Planning, Samantha Q. Vi Tang

Theses and Dissertations

As space-based systems become increasingly critical to global infrastructure, efficient satellite maintenance and resource management have become essential to ensuring operational longevity. On-orbit servicing has emerged as a key strategy for extending satellite lifespans, mitigating space debris accumulation, and enhancing the cost effectiveness of space operations. This study presents a comprehensive mixed-integer programming (MIP) model to optimize servicer task assignments and routing while minimizing propellant consumption. The model captures the operational complexities of servicing a network of satellites across multiple orbits by incorporating realistic constraints, such as fuel limitations and task completion time windows. Sensitivity analysis allows mission planners to …

Quaternary Subsurface Characterization Of The Mississippi River Valley Alluvial Aquifer: Insights From Interval Kriging And Airborne Em-Borehole Data Integration, Yuqi Song

LSU Doctoral Dissertations

The Pleistocene period significantly contributed to the formation of alluvial aquifer worldwide. These productive aquifers are crucial for domestic, industrial, and agricultural water supplies. The Mississippi River Valley alluvial aquifer (MRVA), a principal aquifer in the U.S., is crucial for national food security and global agricultural supply. This study aims to characterize the subsurface architecture of the MRVA, thereby enhancing fundamental understanding of sedimentological processes involved in the genesis of glacio-fluvial aquifers worldwide. The research objectives are threefold: (1) to provide a detailed characterization of the MRVA; (2) to develop 3D geostatistical methods for geological modeling; and (3) to develop …

Rheological, Interfacial, And Filtration Behavior Of Lignocellulosic Nanomaterials In Suspension And Emulsion Drilling Fluids, Meen Sung Koo

LSU Doctoral Dissertations

In recent years, the rheological aspects of suspensions/emulsions applied by cellulose nanomaterials (CNMs) have been gained considerable interests due to high gel-forming properties ascribed by hydrophilicity, crystallinity, ease functionalization, and high aspect ratio. Introducing residual lignin in CNMs (LCNMs) seemed to be capable of achieving various advantages in the application of CNMs ascribed by hydrophobicity, binding effects, and abundant aromatic groups derived from complexity of lignin. This dissertation dedicates to the characterizations of (L)CNMs, and rheological properties of (L)CNMs applied fluids (i.e., suspension and emulsion). In the suspension system, the presence of lignin in LCNMs decreased gel strength, viscosity, and …

Geotechnical Centrifuge Test Of A Pile-Supported Wharf In Silt (Test Aep01), Andrew Earl Parrott

Dissertations and Theses

There have been many documented cases in the U.S. and elsewhere of failure to ports, wharves, and bridges during seismic events due to liquefaction of soils adjacent to foundations. The major design guidelines for surface and maritime transportation structures, such as those offered in ASCE 61-14, Port of Anchorage Seismic Design Manual (POA 2017), AASHTO (2020), Caltrans (2012), and many others, differ considerably on the recommendations for combining the expected inertial and kinematic loads on the pile system. This knowledge gap becomes wider for pile foundations embedded in low plasticity silt, as varying opinions exist on the appropriate characterization of …

Key Characteristics Of Long-Lived Portland Cement Concrete Airfield Pavements In The United States Air Force Enterprise, Cameron J. Palmer

Theses and Dissertations

The United States Air Force maintains a $30 billion portfolio of airfield pavements essential for national security. Despite their importance, budget constraints have limited average annual repair funding to $260 million over the past decade, requiring pavements to last significantly longer than their typical life span. This project addresses the central question: What design features or characteristics contribute to the longevity of Portland Cement Concrete (PCC) airfield pavements? Utilizing data from AFCEC's Airfield Pavement Evaluation (APE) team and the PAVER sustainment management system, this study employed linear regression, logistic regression, and deep artificial neural network (ANN) modeling techniques to identify …