Physical Sciences and Mathematics Commons^™

Coding In Webassign, Gary Malek

Sabbatical Projects

Sabbatical presentation from a 2024 Spring Sabbatical

Seedlings Of Pacific Northwest Plants: A Photographic Guide, Gabriel E. Campbell-Martinez, Roxy Olsson

Rae Selling Berry Seed Bank and Plant Conservation Program

This document presents a visual, non-technical field guide of native and exotic/invasive seedlings that grow wild in the Pacific Northwest. It contains over 550 taxa representing a broad range of families and ecosystems, focusing on species that occur in Oregon and Washington. Species were selected to reflect ecological importance, frequency of occurrence, and relevance to land management, restoration, and conservation. It is intended for a broad audience, including restoration practitioners, land managers, botanists, ecologists, students, naturalists, and others interested in identifying plants at early life stages.

Comparative Analysis Of Machine Learning Models For Glioblastoma Survival., Muna Awel

All Graduate Theses, Dissertations, and Other Capstone Projects

Glioblastoma multiforme (GBM) remains one of the most lethal brain tumors, necessitating improved survival prediction models that integrate clinical and molecular data. This study develops a comprehensive machine learning pipeline leveraging TCGA-derived multi-omics datasets to predict binary survival outcomes. The framework integrates four classifiers Logistic Regression, Random Forest, XGBoost, and Support Vector Machine (SVM) and includes rigorous preprocessing with MCAR testing, KNN imputation, feature scaling, and hyperparameter optimization via GridSearchCV. SMOTE was applied to mitigate class imbalance and enhance model robustness for minority survival classes. Comparative performance analyses revealed Random Forest and XGBoost as top performers, achieving the highest recall …

Rotary Operations Management & Automation Platform (Romap): Modernizing Attendance Tracking And Data Submission For Rotary Clubs, Zaineel Mithani

2025 Fall Honors Capstones Projects - Archive

As Technical Lead of the Rotary Operations Management & Automation Platform (ROMAP), my Honors contribution focused on developing a Bluetooth Low Energy proximity-based attendance system enabling automatic, hands-free member check-ins. I researched and selected beacon hardware, designed RSSI-based distance calculation algorithms, and implemented platform-specific background processing for iOS and Android, achieving 97% detection accuracy. Beyond this Honors component, I architected the complete backend infrastructure including a Node.js API with 20+ endpoints, PostgreSQL database with Prisma ORM, and JWT authentication. I also developed a novel GPT-4 Vision automation system that intelligently populates web forms through computer vision, achieving 95% success rate …

Identifying The Constituents Of Pyrolysis Oil Using Supercritical Fluid Chromatography- Fraction Collection (Sfc-Fc) And Gas Chromatography- Mass Spectrometry/Vacuum Ultraviolet Spectroscopy (Gc-Ms/Vuv), Sadid Morshed

2025 Fall Honors Capstones Projects - Archive

Plastic waste continues to accumulate as production increases and disposal methods remain insufficient. Even with recycling programs in place, much of the discarded plastic still ends up in landfills or waterways, eventually breaking down into harmful microplastics. One promising solution is the conversion of plastic waste into pyrolysis oil, which can also serve as an alternative feedstock for chemicals. Pyrolysis oil is produced by heating plastics to approximately 800 °C in the absence of oxygen, resulting in a complex mixture of hydrocarbons that includes paraffins, isoparaffins, olefins, naphthenes, and aromatics. Analyzing the amount of oxygen, nitrogen, and sulfur in these …

The Effect Of Zebra Mussels On Minnesota Fish Communities, Benjamin D. Strei

Journal of Earth and Life Science

Zebra mussels Dreissena polymorpha are an aquatic invasive species that has been spreading quickly throughout Minnesota water bodies since 1989. Zebra mussels are known to change certain morphological conditions in lakes such as turbidity, phytoplankton abundance, and aquatic invertebrate populations. However, studies showing impacts of the infestation of zebra mussels on the health of a fish community have been hard to prove due to a lack of repeated surveys and a suite of other confounding variables such as natural and seasonal variability, plant community, and lake morphometry. Therefore, the objective of this study is to determine whether zebra mussels have …

Hybrid Agentic System For Schema-Aware Nl2sql Generation, David Omondi Onyango

All Graduate Theses, Dissertations, and Other Capstone Projects

The natural language to SQL (NL2SQL) task enables non-expert users to interact with relational databases via natural language interfaces. However, NL2SQL frameworks often rely on Large Language Models (LLMs), raising concerns about computational overhead, data privacy, and deployment in resource-limited environments. To address these issues, we propose a hybrid schema-aware agentic system using Small Language Models (SLMs) as primary agents, with a selective LLM fallback mechanism. The LLM activates only when errors are detected in SLM-generated queries, reducing inference costs. Experiments on the BIRD benchmark dataset show our system achieves an execution accuracy of 53.91% and validation efficiency score of …

Advancing Particle Detection In High-Energy Physics Through Simulation And Experimentation, Ilker Parmaksiz

Physics Dissertations - Archive

Particle detectors are the cornerstone of experimental high energy physics. They enable physicists to study fundamental interactions and characterize subatomic particles. Recent advancements in detector technology have been propelled by the inventive integration of simulation, advanced materials, and improved electronic readouts. The primary motivation of this thesis is to advance the detector technologies to enhance sensitivity to neutrinoless double beta decay in high pressure xenon time projection chambers. Additionally, it includes work on other detector technologies, such as liquid argon time projection chambers, and documents my involvement in assembly, measurement, and simulation efforts.

Summary of the Chapters and Appendices Included …

Direct Partial Oxidation Of Methane To Methanol Using Dioxygen Over Superhydrophobic Modified Catalysts, Oluchukwu V. Igboenyesi

Chemistry & Biochemistry Dissertations - Archive

Various methods for enhancing catalysts activity and productivity in gas to liquid synthesis like Direct Methane to Methanol Conversion and Fischer Tropsch Synthesis have been studied over the years. Some of these methods include the use of promoters, bifunctional catalysts, introducing steam, optimizing reaction conditions and catalyst modification. The choice of catalysts and their modification plays a critical role in improving the overall productivity in gas to liquid synthesis.

This research explored the superhydrophobic modification of heterogenous catalysts used in Direct Methane to Methanol Conversion (DMTM) and Fischer Tropsch Synthesis (FTS). The catalysts were modified with Perfluoro alkyls (PFSMA). The …

Copper-Based Oxide Semiconductors: Transparent Conductors And Ternary Alloys, Abhishek Rawat

Chemistry & Biochemistry Dissertations - Archive

This dissertation explores the strategic design and development of copper-based metal oxide semiconductors for photoelectrochemical (PEC) and optoelectronic applications, with a focus on advancing materials for sustainable energy technologies. Through a comprehensive investigation into copper vanadates and copper oxides, the work aims to understand and enhance charge transport, light-harvesting capabilities, and electronic structure modulation. The research integrates fundamental materials chemistry with applied photoelectrochemical studies to uncover the role of copper's d-electrons in mid-gap state formation, multifunctionality through electronic structure tuning, and the development of low-temperature transparent conductive oxides.

In chapter 2, we have discussed the attributes of copper metavanadate (CuV …

The Impact Of Inter-Subunit Communication On F420h2:Nadp+ Oxidioreductase: A Kinetic Approach, Jamariya A. Howard

Chemistry & Biochemistry Dissertations - Archive

F₄₂₀H₂:NADP⁺ Oxidoreductase (Fno) catalyzes the reversible reduction of NADP⁺ to NADPH using reduced F₄₂₀ as the hydride donor. Both NADPH and the F₄₂₀ cofactor play significant roles in various metabolic pathways, including glycolysis and methanogenesis, particularly in methanogenic and sulfate-reducing archaea. These organisms play an essential role in global carbon cycling by converting carbon dioxide to methane through the methanogenic pathway, which is directly tied to energy production. This thesis investigates the hydride transfer mechanism of Fno from the extreme thermophile Archaeoglobus fulgidus, using fluorescence binding, steady-state and pre steady-state kinetics.

Chapter 1 outlines the structural and spectral characteristics …

Statistical Analysis Of Climate Trends And Variability In Tarrant County Using Annual, Decade, And Three-Decade Time Periods, Quinnton Debolt

Earth & Environmental Sciences Theses - Archive

This study is a statistical analysis of climate trends within the Dallas-Fort Worth metroplex according to several time-scale models to understand how the climate for the locality has changed and to provide a basis for projections of what future climate might look like. Trends in mean temperature and precipitation for North Central Texas generally correlate with corresponding global trends linked to natural variability and anthropogenic-induced climate change. Temperature rises in this region annually by 0.08°C and by 0.22°C for a three-decade average. Seasonal increases in three-decadal averages of temperature for North Central Texas relative to the average of the reference …

Environment And Intention Awareness For Navigation And Collaboration, Bhaskar Chandra Trivedi

Computer Science and Engineering Dissertations - Archive

Unmanned Aerial Systems (UAS) have become increasingly popular as versatile platforms for tasks such as surveillance, inspection, delivery, and maintenance. In many applications, UAS operate in environments frequented by people or containing sensitive infrastructure, which introduces physical risks in case of vehicle failure, as well as psychological and privacy concerns that may limit their acceptability. Ensuring safe and efficient operation thus requires that UAS consider these risks when planning navigation strategies. While prior information, such as city maps and building layouts, can partially inform risk assessment, such data is often incomplete, necessitating real-time augmentation of risk maps using sensor information. …

Scalable, Secure, And Adaptable Perception Systems Through Adversarial Analysis And Federated Fine-Tuning, Arkajyoti Mitra

Computer Science and Engineering Dissertations - Archive

Perception systems are fundamental to intelligent machines, enabling them to sense, understand, and interpret complex environments. However, as perception increasingly underpins critical applications such as autonomous vehicles, IoT healthcare devices, and smart trading platforms, challenges related to security, scalability, and environmental understanding have become more pressing. This work addresses three core research questions: (1) How can we identify, analyze, and mitigate adversarial vulnerabilities in perception systems to ensure reliable operation under adversarial conditions? (2.1) How can AVPS models be efficiently scaled and fine-tuned across decentralized and resource-constrained environments while preserving privacy and performance? (2.2) How can we scale generative models …

Discrete Time Risk Processes With Stochastic Premiums And Dividends, Enoch J. Dangbe

Mathematics Dissertations - Archive

Risk processes typically emerge in insurance and finance and are concerned with stochastic representation of uncertainties of real-world events. Main objective amounts to quantifying the chances of both desirable and undesirable events and balancing their mutual impact for the purpose of developing models that in some sense optimize the outcome from the business perspective. Our research is concerned with studying the evolution of the surplus process in which time and assets are integer-valued. Initial capital, random premiums, random claims, dividend payments based on assets’ performance constitute the components of our model. Our findings established recursive formulas for the total expected …

Examining Student Understanding Of Series Convergence Using Script Writing, Eduardo Torres Manzanarez

Mathematics Dissertations - Archive

This exploratory study investigates second-semester calculus students’ understanding of series convergence using both nonscripting and scripting-based tasks. Researchers recognize that students encounter difficulties with learning series, including series convergence, and that there is a need for more meaningful tasks that aid students’ learning of series. Script writing, used mainly with prospective mathematics teachers, can be used to explore mathematical understandings. Thus, this study examines how script writing, in the form of a scripting task, elicits students’ understanding of series convergence in contrast to nonscripting-based tasks to determine the potential of script writing in assessing this student understanding. We examine students’ …

Photoionization Of Spin-Polarized Rydberg Atoms Out Of A Continuous Wave Optical Dipole Trap, Kevin Lee Romans

Doctoral Dissertations

"Recent research has demonstrated the need for a fully differential experiment on the photoionization of ⁶Li Rydberg atoms in a continuous wave (cw) laser field, as this would provide a new path forward for studying never before accessible atom-light interactions. Rydberg atoms are back in the focus of intense research due to their peculiar properties, which make them interesting candidates for quantum optics and information applications. In this work, we study the ionization of such Rydberg atoms, due to their interaction with a trapping laser field, by utilizing a reaction microscope (ReMi) capable of measuring photoelectron momentum distributions with …

Parallel Algorithms For Large Scale Dynamic Graph Analysis, Arindam Khanda

Doctoral Dissertations

A complex system of interacting entities in contemporary scenarios, be it biological, technological, or social, can be represented using graphs. Dynamic graphs, unlike their static counterparts, are ones in which the underlying topology changes over time. These networks act as a model for numerous systems, from transportation to social interactions, capturing the ever-evolving nature of real-world phenomena. However, the inherent temporality of these networks presents a unique set of challenges and the traditional static graph algorithms often fall short in efficiency and applicability. In our research, we delve into the complexities presented by large dynamic networks and suggest various methodologies …

Insights In Cybersecurity Of A Smart Campus - A Review, Mircea Ţălu

Journal of Cybersecurity Education, Research and Practice

The profound impact of the Internet of Things (IoT) on various fronts, is driven by technological advancements, the ubiquitous spread of information, and the emergence of transformative events. IoT presents a diverse array of possibilities within university environments, fostering a more connected and enhanced educational experience. This research undertakes a comprehensive review of existing literature to provide context to the IoT and underscore its crucial significance in the realm of smart campuses. Additionally, the paper explores the intricate connections between IoT and key concepts such as cybersecurity and wireless sensor networks to present a holistic perspective. It delves into the …

F-Layer Parameters Derived By Airglow Emissions At Pituffik Sb, Greenland, Jessica Norrell, Ivana Molina, Michael Negale, Jeffrey Holmes

Space Dynamics Laboratory Publications

Atomic oxygen airglow has long been used as tracer for the peak height and electron density of the F-layer (e.g. Sahai et al., 1981). Tinsley and Bittencourt (1975) described a method by which OI airglow is used to determine F-layer parameters. They found that the square root of the column emission rate of an optically thin layer created by radiative recombination emission was proportional to the peak electron density of the F-layer.

An all-sky imager (ASI) was recently installed at Pituffik, Greenland (76.51˚N, 68.74˚W), with four filters relevant to this study: 5725, 6300, 7715 and 7774 Å. We have used …

Software Management, Space Dynamics Laboratory

Space Dynamics Laboratory Publications

Agenda

1. Software Organization Methods
2. Example Software Workflow
3. Small Sat Specific Tips

Communications (Comm) Subsystem: Smallsat Antennas, Jim White

Space Dynamics Laboratory Publications

• A Practical Approach to SmallSat and Cubesat Antennas
• Antennas Designed Using Requirements
• Antenna Requirements
• Systems Engineering is Required
• What is a Radio Wave?
• What is an Antenna?
• Best Practices
• Testing
• Summary

Smallsat Pcb Engineering, Space Dynamics Laboratory

Space Dynamics Laboratory Publications

• Concept
• Design
• Build
• Lessons Learned

Radiation Hardness Drivers For Mission Success – What We Have Learned, Space Dynamics Laboratory

Space Dynamics Laboratory Publications

RHA consists of all activities undertaken to ensure that the electronics and materials of a space system perform to their design specifications throughout exposure to the mission space environment

Deep Learning Method For Image Processing In Cold Atom Experiments, Joshua Wilson, Robert Leonard, Jacob Morrey, Issac Peterson, Francisco Fonta, Spencer Olson

Space Dynamics Laboratory Publications

“Ideal” Absorption Imaging

Not always simple in practice

Structural Design & Analysis, Poti G. Doukas

Space Dynamics Laboratory Publications

Agenda

• Structural Requirements
• Deployers
• Engineering Drawings
• Verification Testing

Requirements And C&Dh Design, Space Dynamics Laboratory

Space Dynamics Laboratory Publications

• What is it?
• Processor Selection
• CDH Hardware
• OS Selection
• Memory - Radiation
• Memory - Radiation Mitigation
• Memory - Partitions
• Memory - File System
• System Startup
• Startup Stages
• Software Start-up
• Serial Protocol
• I2C / One Wire Communication Tips
• Fault Handling: Watchdog Timer
• CDH Watchdog (Simple)
• CDH Watchdog (Use Case)
• Watchdog Timer Tips
• Synchronizing and Managing Time

Atmospheric Waves Experiment (Awe) Mission Overview, Pedro Sevilla

Space Dynamics Laboratory Publications

The AWE instrument images atmospheric gravity waves from the ISS, quantifying energy and momentum fluxes into the ionosphere-thermosphere system to better understand how tropospheric weather influences space weather

Crop2cloud Platform: Real-Time Data Integration For Agricultural Water Monitoring, Bryan Nsoh, Abia Katimbo, Kendall Dejonge, Wei-Zhen Liang, Hongzhi N. Guo, Yufeng Ge, Derek M. Heeren, Yeyin Shi, Xin Qiao, Daran R. Rudnick, Hope Njuki Nakabuye, Birru Girma, Isa Kabenge, Joshua Wanyama

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Efficient water management is vital for sustainable agriculture, yet integrating real-time data for precise irrigation remains a challenge. This study designed the Crop2Cloud (C2C) platform, a system that leverages advanced sensors using Internet of Things (IoT), edge and cloud computing techniques, and computed Water Stress Indices (WSIs) and machine learning models (i.e., fuzzy logic), to provide scalable and real-time irrigation decisions. The C2C platform aggregates several data including Volumetric Water Content (VWC) from TDR sensors (Acclima Inc., US) installed at four multiple depths, canopy temperatures (Tc) measured by Infrared Radiometers (IRTs) (Apogee Instruments, US), as well as weather information and …

Future Of Bse Days 2025: Growing A Regenerative Bse, Derek M. Heeren, Santosh Pitla, Jennifer R. Keshwani, Mark Stone

Department of Agricultural and Biological Systems Engineering: Presentations and White Papers

The Future of BSE Days 2025: Growing a Regenerative BSE brought together over 150 faculty, staff, students, and partners to envision the next quarter-century of the Department of Biological Systems Engineering. The event emphasized regeneration—not only of resources and ecosystems, but also of ideas, learning models, and relationships. Across seven major sessions—three Spark Talks and four Pillar Workshops—participants explored how BSE can thrive amid technological disruption, demographic change, and societal transformation.

Key Outcomes

Redefining Impact: This session challenged participants to evolve from counting outputs to valuing relationships, collaboration, and community well-being.

Adaptive Learning Models: This discussion introduced design studios, micro-credentials, …