Engineering Commons^™

Test Data: Raised Or Recessed? Finding The Optimal Gate Architecture For Improving The Static Performance Of Graphene Transistors, Ivan Puchades, Tzu-Jung Huang, Andrew Spencer, Luke Ingraham, Anibal Pacheco

Data

As silicon CMOS technology approaches its scaling limits, graphene offers a compelling alternative as the active material channel in transistors due to its high carrier mobility and atomically thin profile, which provide strong electrostatic control and promise high-performance analog applications. However, roadblocks such as device-to-device variation, high contact resistance, poor dielectric interfaces, and non-uniform graphene quality have limited the adoption of graphene field effect transistors (GFETs). Hence, further investigations are required for mitigating these issues at a material, e.g., by improving graphene transfer, and device level, e.g., by finding an appropriate gate architecture. In this work, we directly compare two …

Numerical Study On Flow Separation And Performance Characteristics Of Slot Nozzle, Chase Charpentier

Doctoral Dissertations and Master's Theses

The altitude compensating nozzle (ACN) is a type of rocket nozzle or engine that tries to minimize the negative effects of overexpansion at low altitudes. There are many forms of ACN's but most of them are heavier than traditional bell nozzles, alter the geometry of the nozzle, which requires extensive research into optimizing the new geometry, or require complex systems that can lead to structural, heating, or material problems. Out of the ACN's, the slot nozzle is a passive ACN that builds upon the bell nozzle and requires no additional weight or complex systems.

This slot nozzle is comprised of …

Evaluating Perceived Ease Of Use Of Augmented Reality In Aviation Maintenance: A Technology Acceptance Model Approach, Russell Quenten Gardner Jr.

Doctoral Dissertations and Projects

This quantitative study examines the perceived ease of use (PEU) of augmented reality (AR) technology among two key groups: aviation maintenance students, representing workforce readiness, and professional aircraft maintenance technicians, representing field expertise. This approach offers a comprehensive understanding of AR’s role in maintenance training by accounting for varying levels of participant experience. Addressing the need for innovative methods to improve task accuracy, efficiency, and knowledge retention, this study emphasizes user acceptance as a critical factor for AR adoption. Guided by the Technology Acceptance Model (TAM), this research investigates how technician experience influences perceptions of AR’s usability and whether PEU …

Promoting Leadership To Enhance Safety In Aircraft Maintenance: A Phenomenological Study Of Aviation Technical Operations, Komi Tete

Doctoral Dissertations and Projects

The purpose of this qualitative phenomenological study was to explore how leadership styles affect the safety practices and overall performance of aircraft maintenance technicians (AMTs) in aviation Technical Operations (TechOps) environments. The study built on previous research indicating that safe and efficient aircraft operations depend on numerous technical and social processes. It focused on the comprehensive lived experiences of AMTs as they related to leadership influence on safety. The transformational leadership theory and safety culture theory guided the study, aligning with the inquiry by explaining how leaders could influence the behavior, motivation, and safety practices of AMTs. Ensuring the safety …

Integrated Optimization And Data-Driven Modeling For Seawater Intrusion Mitigation And Prediction, Assaad Hassan Kassem

Thesis/ Dissertation Defenses

Seawater intrusion (SWI) threatens the reliability of coastal groundwater especially in hyper-arid settings, where climatic stress and pumping accelerate salinization. This dissertation advances two complementary approaches to managing SWI: Part A optimizes mitigation measures, hydraulic (pumping/injection) and physical barriers (cutoff walls, subsurface dams) on benchmark models; Part B predicts SWI in the hyper-arid Fujairah (UAE) coastal aquifer using total dissolved solids (TDS) as a proxy, through machine learning-based models, spatially and dynamically. A bibliometric synthesis first maps the evolution of SWI models and mitigation strategies, identifying gaps that motivate the subsequent methodological developments. Part A employs the classical Henry problem …

Exploratory Study Of Semiconductor Nanomembranes In Em Applications, Grant D. Heileman

Electrical and Computer Engineering ETDs

Antenna systems are a cornerstone of modern technologies, playing an increasingly vital role in their advancement. As demand for compact, high-performance, and adaptable communication platforms grows reconfigurable antenna technologies are becoming essential. This research explores a novel front-end reconfigurable antenna system (FERAS) architecture that leverages the mechanical flexibility and photoconductive behavior of semiconductor nanomembrane (SNM) devices. By exploiting the emergent properties of ultra-thin silicon (Si) or gallium arsenide (GaAs) nanomaterials and optically exciting these samples using vertical-cavity surface-emitting laser (VCSEL) arrays, this study develops lightweight, low-cost, deployable antenna structures for satellite communications, remote sensing, GPS, and radar. Despite their significant …

User Interface And Watchstation Improvements Required For Multi-Vehicle Usv Operations, Val Schmidt, Joshua Bergeron

Faculty Publications

In October 2024, the University of New Hampshire and NOAA’s Uncrewed Systems Office embarked on a mapping mission in the Gulf of Maine, simultaneously operating two DriX Un-crewed Surface Vehicles. Goals of the project were focused on testing hypotheses related to concepts of operation, including the safety of operations, cognitive loading of operators, management of vehicle endurance, vehicle logistics, maintenance and field support, refueling and a host of others.

Data Cleaning With Excel, Rubab Shahzad

Day Family Research Lab Workshop Series

This workshop will delve into the importance of cleaning research data and why clean data is an important part of the larger research data lifecycle. This session will also provide an overview of data cleaning and preprocessing using Microsoft Excel including a hands-on demonstration.

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Envis: A User-Centered Web-Based Tool For Interactive Visualization Of Environmental Geospatial Data, Saima Sanjida Shila

LSU Master's Theses

Data visualization is an essential part of analyzing environmental geospatial data. Despite having the availability of large environmental datasets, there remains a lack of easily accessible, user-friendly, and interactive visualization tools in this field. Therefore, this study aims to develop a user-friendly and easily available web-based visualization tool. Before developing the tool, we conducted a survey of researchers at the LSU Coastal Studies Institute to collect their opinions on currently available visualization tools. In the survey, 55% of participants responded between somewhat satisfied to dissatisfied with their current visualization tools. Most of the participants mentioned two major limitations of existing …

Experience With The Stem For Success Internship, Ujwal S. Thirunagari

STEM Month

In this article, I discuss my experience working with the STEM for Success team. I detail some of the challenges I faced in completing the CRT and LED sections, how I addressed these challenges, and the widely applicable skills that I learned.

Television Guidebook, Ujwal S. Thirunagari

STEM Month

In this television guidebook, we work to clearly explain television technology by including detailed illustrations and introducing fundamental concepts. This guidebook first explains the Cathode Ray Tube by laying out the basics of circuits, thermionic emission, the electron beam gun, and the deflection yoke. Then, the guidebook tackles the modernly adopted LED panel technology used in most phones and computers by explaining the fundamentals of light and liquid crystal. In future iterations of the guidebook, we hope to delve into more detail on color CRTs, thin film transistors, OLED panels, and Micro-LED technology.

Njit Stem For Success Report, Riya R. Kapadia

STEM Month

Airborne viruses are the leading causes of disease and even death in public settings. For instance, the COVID-19 pandemic has resulted in 768 million cases. Air filters improve air quality and remove airborne pathogens that detrimentally affect health. However, current antiviral air filters such as HEPA filters and face masks are impractical for hospital and public settings. Electrically conductive air filters are favorable for antiviral air purification, as they are inexpensive and energy-efficient. Among electrically conductive air filters, laser-induced graphene-based electrified air filters are a promising technology, but they require a voltage greater than 20 V to inactivate the virus. …

Development And Characterization Of Sustainable Aluminum Metal Matrix Composites With Date Palm Agro-Residues As Reinforcement, Ansar Kareem

Thesis/ Dissertation Defenses

Aluminum matrix composites (AMCs) are extensively used in various industrial applications owing to their exceptional mechanical, material, and tribological properties. This led to the development of AMCs with every possible aluminum alloy as matrix, incorporated with various reinforcement materials to achieve desired material properties. There has been an increasing trend in the utilization of agricultural and industrial waste products as reinforcement material in AMCs. Date palm trees produce huge quantity of agricultural waste in different forms. Usually, these wastes are burned or disposed of in landfills which cause environmental pollution. Date palm agro-wastes can be incinerated to produce date palm …

Evaluating Igf1 And Igf1-R Levels As Risk-Related Indicators And Early Detection Tools In Estrogen Receptor–Positive Breast Cancer, Randa M. Lua’I, Khawla A. Kasar, Marwa A. Hassan

AUIQ Technical Engineering Science

Breast cancer (BC) remains one of the most common malignancies in women, with its development strongly influenced by hormonal and growth factor signaling. The insulin-like growth factor 1 (IGF1) and its receptor (IGF1-R) are increasingly recognized as key contributors to breast carcinogenesis, particularly in relation to estrogen receptor (ER) status. This study aimed to evaluate circulating IGF1 and IGF1-R levels among Iraqi women with BC and to explore their diagnostic and biological relevance. A total of 90 participants were enrolled, including 65 patients with histologically confirmed BC (41 ER-positive and 24 ER-negative) and 25 healthy controls. Serum concentrations of IGF1 …

Cv: Young "Paul" Kim (Computer Engineering), Young "Paul" Kim

ECaMS Department Faculty Curricula Vitae

No abstract provided.

Effect Of Cryo-Milling On Pla/Cmc And Pla/ Caco3 Composites: A Comparison Study, Fatemeh Mahdiyeh-Boroujeni, Ron Kander

School of Design and Engineering Papers

This study examines a new approach for improving the dispersion of hydrophilic fillers into a hydrophobic polymer matrix, a long-standing challenge that often limits the thermal and mechanical performance of biocomposites. Two different fillers, natural cellulose microcrystals (CMC) and mineral calcium carbonate (CaCO3), were incorporated into polylactic acid (PLA) at five different weight fractions. Biocomposite films were prepared using physical mixing and cryo-milling, followed by hot pressing. Cryo-milling was explored as a strategy to enhance filler distribution within the matrix. Thermal properties, crystallization behavior, and mechanical performance were characterized using differential scanning calorimetry (DSC), thermogravimetric analysis (TGA), and tensile testing, …

Sustainable Practices For Aircraft Decommissioning And Recycling In A Circular Aviation Economy, Eva Maleviti, Dimitra Papadaki

Publications

The aviation industry requires a series of actions that will transform its current status, aiming for sustainable operations. Aviation’s end-of-life stream is a pivotal lever for circularity, yet current dismantling and recycling practices leave significant value unrealized. Circular Economy could be considered as a transformational approach to the aviation industry and address its environmental and economic challenges, meeting sustainability principles. This study conducts a PRISMA-guided qualitative systematic review across academic and industry sources to synthesize regulations, technologies, and economics of aircraft decommissioning. It aims to quantify material recovery potential and environmental gains at the aircraft level and assess technology readiness …

Heritage-Based City Branding Case Study Of Fayoum City, Menna Mounir, Sameir Hammad

Mansoura Engineering Journal

Uniqueness and distinction have become fundamental requirements in promoting and branding cities. Influencing people's perceptions is best achieved by reinforcing the city's identity. This identity is the main component that can transform any ‘space’ into a ‘place’. Promoting a city should extend to highlighting the Heritage, landscape, religious sites, pathways, cuisine, inhabitants, activities, and personal experiences. These elements collectively express the city spirit and enrich visitors’ experience.

This study aims to enhance the image of heritage-based cities by exploring the potential for city branding and leveraging heritage to boost the national economy.

Fayoum was selected as a case study for …

Enhancing The Energy Efficiency Of Co2-Rich Amine Solution Regeneration Through Innovative Catalyst And Advanced Membrane Module System, Muhammad Waseem

Thesis/ Dissertation Defenses

Global warming, which is mostly caused by greenhouse gas emissions, is rapidly becoming a serious issue. Prospective technology for capturing CO2 from point source pollution has recently received a lot of interest. Carbon capture and storage (CCS), particularly through amine-based absorption methods, is one of the most developed industrial processes for capturing anthropogenic and natural CO2. Although amine-based absorption remains the most mature technology for industrial CO2 capture, yet its largescale deployment is hindered by the high energy requirement of solvent regeneration. To address this challenge, we explored both catalytic and membrane-assisted approaches to improve the efficiency of CO2 desorption …

Microstrip Antenna Design Based On Ai And Machine Learning, Waleed Mohamed Sha Moulavi

Thesis/ Dissertation Defenses

Microstrip patch antennas (MPAs) rely on precise impedance matching for efficient power transfer between the antenna and feed line. This is often achieved using a number of different techniques, one of which is the quarter-wavelength transformer (QWT). However, optimizing the width of the QWT presents significant computational and analytical challenges due to the unknown antenna impedance and the absence of explicit design relationships. This thesis aims to overcome these limitations by developing and comparatively evaluating artificial intelligence (AI) models for QWT width optimization. Methods involved Random Forest (RF) and a novel Probabilistic Deep Neural Network (PDNN) on a custom dataset …

First-Principles Theory Of Five-And Six-Phonon Scattering, Yi Xia

Mechanical and Materials Engineering Faculty Publications and Presentations

igher-order phonon scatterings beyond fourth order remain largely unexplored despite their potential importance in strongly anharmonic materials at elevated temperatures. We develop a theoretical formalism for first-principles calculation of five- and six-phonon scatterings using Green’s function techniques based on a diagrammatic formalism, and systematically investigate multi-phonon interactions in Si, MgO, and BaO from room temperature to near melting points. Our calculations reveal dramatically different material-dependent behaviors: while five- and six-phonon processes remain negligible in Si even at high temperatures, they become increasingly important in MgO near its melting point (3100 K) and in BaO at intermediate temperatures (1200 K). Most …

Framework And Methodology For Risk-Based Bridge And Tunnel Asset Management: Risk-Based Asset Ranking And Corridor Prioritization, David Y. Yang, Arash Khosravifar, Diane Moug, Avinash Unnikrishnan

Civil and Environmental Engineering Faculty Publications and Presentations

This report presents the results of Phase II of the project, "Framework and Methodology for Risk-based Bridge and Tunnel Asset Management". The research was carried out at Portland State University in collaboration with engineers and officials at the Oregon Department of Transportation (ODOT) and Federal Highway Administration (FHWA). Using the framework and methodology developed in Phase I of the project, the primary goal of Phase II is to showcase the practical application in risk-based asset management. In particular, the report includes the following two case studies: Case Study I — Weighted hazard scenarios for seismic risk assessment of Oregon Highway …

The Resonance Of Desire: A Sonic Exploration And Guide To Recreating Disney’S Signature ‘I Want’ Songs, Aiyanna E. Riley

Electronic Theses and Dissertations

This thesis explores the sonic architecture of Disney’s Renaissance-era “I Want” songs and develops a framework for recreating their signature production style. This study analyzes how vocal timbre, microphone choices, layering, stereo placement, and mixing strategies contribute to the immersive qualities that define the Disney sound. Drawing from historical accounts, interviews with industry professionals, and technical literature, the thesis documents production practices unexamined in scholarly work. Inspired by David Gibson’s The Art of Mixing, my analyses prioritize spatial and textural qualities in Disney mixes, highlighting how sound design shapes narrative impact. The study culminates in two original compositions modeled …

Locations Of Outfalls In The Indian River Lagoon And Lake Worth Lagoon, Florida, Kelly M. Kibler, Melinda J. Donnelly, Vincent Encomio, Madison Giuntoli, Manisha Thenuwara, Brice Bennett, Laura Andrade Barron, Mariam Sonbol, Wynter Raine Seppala, Namritha Ramakrishnan, Jennifer Jordan Báez, Beth Orlando, Irene Arpayoglou, Melissa Meisenburg

Indian River Lagoon Shorelines

The spatial dataset: UCF_Outfalls_IRL_LWL.shp was created under grants from the Indian River Lagoon National Estuaries Program and Florida Sea Grant. These projects cumulatively led to creation of a living shoreline restoration prioritization model and hydrodynamic habitat suitability models for 1,550 km (963 miles) of estuarine shorelines in Indian River Lagoon (IRL) and Lake Worth Lagoon (LWL).

The dataset presented here includes the location of outfalls identified throughout the study region and general characteristics of the shoreline where they were identified.

Seagrass Persistence In The Indian River Lagoon And Lake Worth Lagoon, Florida, Kelly Kibler, Melinda Donnelly, Vincent Encomio, Madison Giuntoli, Manisha Thenuwara, Brice Bennett, Laura Andrade Barron, Mariam Sonbol, Wynter Raine Seppala, Namritha Ramakrishnan, Jennifer Jordan Báez, Beth Orlando, Irene Arpayoglou, Melissa Meisenburg

Indian River Lagoon Shorelines

The spatial dataset: UCF_seagrasspersistence_IRL_LWL.shp was created with support from the Indian River Lagoon National Estuaries Program and Florida Sea Grant. These projects cumulatively led to creation of a living shoreline restoration prioritization model and hydrodynamic habitat suitability models for 1,550 km (963 miles) of estuarine shorelines in Indian River Lagoon (IRL) and Lake Worth Lagoon (LWL). The dataset presented herein represents persistence of seagrass throughout waters of the IRL and LWL.

11.10.2025 Ored Connect, Liz Williamson

ORED Newsletter

• Sherilyn Hulugalla winds Biosafety and Biosecurity Month Challenge

Modeling Synaptic Dysfunction As Neural Contagion: A Graph-Based Sedr Framework For Simulating Signal Spread, Michelle Marfo, Dr. Padmanabhan Seshaiyer, Alonso Ogueda-Oliva

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Modeling Social Isolation: A Data-Driven Index Function Design And Implementation, Jeremis N. Morales Morales, Carmen Caiseda, Phyllis Muniu, Joshua Atsu, Folashade B. Agusto

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Durability Performance Of Sustainable Fly Ash-Based Geopolymer Concrete Incorporating Waste Glass, El-Said Abdelsalam Maaty, Mariam Farouk Ghazy, Mohamed Gamal Eldmarny

Mansoura Engineering Journal

The cement and concrete industries contribute significantly to environmental degradation through high CO₂ emissions and extensive resource consumption. Cement manufacturing accounts for nearly 8% of global CO₂ emissions, primarily from limestone calcination, while raw material extraction leads to resource depletion and ecological disruption. Increasing attention is being directed toward the use of recycled glass as an eco-friendly substitute in geopolymer concrete, offering a sustainable solution to existing challenges. This study investigates the effectiveness of replacing fly ash with waste glass powder (WGP) at 0%, 10%, 20%, and 30%, and substituting natural sand with waste glass sand (WGS) at 0%, 15%, …

Predicting The Next Trending Hussaini Poems: A Machine Learning Approach Based On Textual And Engagement Features, Elaf Adel Abbas

AUIQ Technical Engineering Science

Hussaini’s poem videos have garnered substantial viewership on digital platforms; nevertheless, the determinants of why just a select number achieve “trending” status remain inadequately comprehended. This study presents a machine learning approach aimed at forecasting the trending potential of Hussaini poetry videos through the integration of text- and interaction-based variables. A dataset including 270 YouTube videos was generated, encompassing each video’s title and audience engagement parameters, including views, likes, comments, duration, and upload time. Textual attributes were converted using TF-IDF representations, whereas numerical attributes were standardized and amalgamated via a unified ColumnTransformer pipeline. Five machine learning classifiers—Naive Bayes, Logistic Regression, …