Engineering Commons^™

Exploring User Sentiment On Social Issues Via Neural Network Transfer Learning In Digital Communities, Ananya R. Vangoor

Electrical Engineering and Computer Science Undergraduate Honors Theses

Understanding public sentiment on social issues is crucial for gauging the stance of the general population. Traditionally, surveys have been a common approach for this. However, to capture more candid opinions, social media provides a rich source of unadulterated opinions. By analyzing social media statements, we can gain insights into the perspectives of specific groups. More specifically, we will investigate the attitudes of the public into the relationship between hard work and success in the workplace.

Using a neural network trained on tweets from X, formerly known as Twitter, we can categorize each tweet as either pro-luck or pro-meritocracy. But …

Stop Design: Rethinking The Approach To Public Transit's Architecture, Elizabeth M. Nielsen

Architecture Masters of Science Program: Theses

Public spaces are the foundation of our social health and wellbeing, but are often designed without considering the needs of the public, creating spaces that people do not feel encouraged to use. Just as public space design as a whole often falls short of serving the public, the same can be said for a subset of public space design, public transit stops. While they are public spaces created for the purpose of waiting, their design rarely reflects this.

Well-designed public transit stops are capable of both maintaining existing ridership and drawing in new riders. Most commonly, this design occurs at …

Impacts Of Cognitive Workload On Veteran Driver Reaction Time: Predictive Modeling Using Bayesian And Machine Learning Methods, Kenneth Ofosu-Kwabe

All Theses

In high-demand environments, the ability to manage cognitive workload can mean the difference between optimal or safe performance and critical failure or accidents. Veterans face an elevated risk of fatal motor vehicle accidents due to post-deployment stress, combat-related injuries, and challenges readjusting to civilian driving. This study explores how cognitive workload affects reaction time performance using a driving simulator by collecting and analyzing subjective workload ratings (using the NASA-TLX survey), physiological signals from eye-tracking and performance data from a sample of 28 Veterans.

We examined how task difficulty, cognitive indicators and personal attributes influence reaction times across an interactive driving …

Charging Infrastructure Needs For Electric Trucks In Texas, Katerina Jilkova

Open Access Theses & Dissertations

This thesis focuses on the design of a methodology for determining the optimal location of charging stations for heavy-duty electric trucks. The work focuses primarily on long-distance trips that require charging the truck battery outside cities, where the range of charging stations is not extensive. In addition to design the algorithm, the thesis also focuses on implementing the algorithm on a specific case - the implementation of charging stations in the I-10 Freeway corridor between El Paso and San Antonio. The output of the work is not only a description of the procedure, but also an application to a real …

Improving Home Security Through User Centered Device Positioning, Lalith Nadipalli

Theses and Dissertations

In today’s world, where technology is advancing rapidly and security threats are becoming more complex, the need for effective home safety measures is more critical than ever. Homeowners are increasingly turning to a variety of smart devices, such as smoke detectors, carbon monoxide detectors, and security cameras, to protect their living spaces against potential dangers like burglary, fire, and environmental hazards. These devices offer essential protection, acting as both early warning systems and visual surveillance tools. However, their effectiveness largely hinges on how well they are placed within the home. Proper placement of these safety devices ensures that they provide …

The Impact Of System Transparency On Perceived System Reliability, Perceived System Usability, And Information Clarity In Self-Driving Car Systems, Uditkumar Nair

Theses and Dissertations

In human-computer interaction (HCI), the development of autonomous vehicle (AV) technology has created new difficulties, especially in building user confidence as well as understanding of system functioning. The effect of system transparency on user- centered outcomes, such as perceived usability, perceived system reliability, and information clarity, is examined in this thesis. In order to evaluate their experiences in both ordinary and high-stakes driving situations, participants engaged with both system- transparent user interfaces (TUIs) and non-transparent user interfaces (NTUIs) across a number of experimental scenarios. In order to assess how well each interface conveyed system logic and actions, the study included …

Understanding And Modeling Pooled Rideshare Acceptance: Influential Factors, Preferred User Experiences, And Implications, Rakesh Gangadharaiah

All Dissertations

This dissertation explores factors influencing pooled rideshare (PR) adoption to provide actionable insights for transportation network companies (TNCs) and policymakers. PR allows travelers to share rides with unknown passengers, offering benefits such as cost reduction and congestion relief. However, adoption remains limited due to safety concerns, privacy issues, and trust in rideshare platforms. A national U.S. survey with 5,385 respondents examined transportation preferences and barriers to PR adoption. Exploratory and confirmatory factor analyses identified five key factors influencing PR consideration—safety, service experience, privacy, traffic/environment, and time/cost. Second factor analyses examined ways to optimize PR experiences, revealing four factors—comfort/ease of use, …

A Numerical Analysis Tool To Evaluate Pavements Integrated With Dynamic Wireless Power Transfer Technology, Hector Cruz

Open Access Theses & Dissertations

As electric vehicles (EVs) continue to gain market share in the U.S., the integration of dynamic wireless power transfer (DWPT) systems into pavements has emerged as a promising solution to address range anxiety and infrastructure limitations. However, the structural implications of embedding DWPT technology into roadways remain insufficiently explored. This dissertation presents the development and application of a numerical analysis tool to evaluate the mechanical performance of flexible pavements containing embedded charging units (CUs). A series of finite element models, validated with full-scale experimental data, were used to assess the influence of axle loading, material properties, layer configurations, bonding conditions, …

Improving Traffic Management During Special Events At The Sun Bowl Stadium, Marek Polak

Open Access Theses & Dissertations

This thesis focuses on improving traffic conditions around the Sun Bowl Stadium, especially during large public events. The goal is to propose effective solutions that enhance the use of public infrastructure during both event days and normal traffic conditions. To understand the current situation, two surveys were conducted during a football game - one monitoring parking lot occupancy and the other measuring traffic volumes using video recordings and pressure sensors. Based on the collected data, design changes were proposed for two key intersections: Sun Bowl Dr. with W. University Ave., and Sun Bowl Dr. with Glory Rd. The new designs …

Feasibility Of On-Demand Charging For Private Evs At The El Paso International Airport, Katerina Zizalova

Open Access Theses & Dissertations

As electric vehicle adoption rate continues to grow globally and across the United States, it is desirable for airports to adapt to meet the needs of electric vehicle driving passengers. This thesis develops an implementation plan for an on-demand charging solution for the El Paso International Airport to address the current limitations in charging infrastructure. After analyzing the electric vehicle adoption trends, four charging solutions were studied: conventional fixed-point charging, fixed-point charging with added valet service, mobile charging service and wireless inductive charging. Using decision-making matrices implementing criteria such as operational suitability, scalability or costs, one charging solution was recommended …

User Acceptance Of Shared Autonomous Vehicles, Haotian Su

All Dissertations

A dissertation is proposed to explore user acceptance of shared autonomous vehicles (SAVs). SAVs are facing limited user acceptance. To systematically tackle the user acceptance barriers of SAVs, the main problem can be disintegrated into two sub-problems of user acceptance of autonomous vehicles (AVs) and ridesharing. The comfort of the ride experience in AVs is a determinant of user acceptance. Understanding the influential factors and developing methodologies to quantify human comfort in AVs are essential to facilitating future research to improve human comfort in AVs. The current pooled rideshare (PR) service closely resembles the anticipated future of SAVs. Understanding why …

Toward The Application Of Natural Language Processing In Electronic Health Record Analysis For Taxonomy Development, Latoya Mcdonald

All Dissertations

Electronic health records (EHRs) are pivotal resources for nurse practice because they increase the timeliness and reliability of patient information at the point of care and support access by multiple healthcare providers and the individual patients themselves. However, it is widely recognized that data extraction from EHRs is challenging due to the variability in the language used in clinical care notes and the lack of standardized terminology across healthcare systems. The broad objective of this dissertation is to develop taxonomy-based classification models for nursing care by applying feature engineering approaches to EHRs that include nursing care of ostomy patients following …

The Role Of Ai In Enhancing Teamwork, Resilience And Decision-Making: Review Of Recent Developments, Satyadhar Joshi

Harrisburg University Other Works

This paper explores the transformative impact of artificial intelligence (AI) on organizational teamwork, decision-making, and resilience. This paper furthur reviews recent literature on the integration of Artificial Intelligence (AI) in various organizational functions, focusing on its impact on innovation management, leadership paradigms, and organizational resilience. We provide groundwork required to enhance frameworks that can integrate cognitive scaffolding with antifragile team dynamics, employing behavioral economics and neurocognitive principles. We introduce methodologies for enhancing team resilience through adaptive AI systems, cross-training interventions, and pre-mortem simulation techniques. The framework addresses key challenges in confirmation bias mitigation, cultural dimension alignment, and vigilance decrement prevention. …

Mash Crashworthiness Of Work Zone Devices And Breakaway Luminaire Poles, Mohammadreza Rajaee

Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research

This thesis presents a study on the crashworthiness of two commonly-used roadside safety devices: Type II barricades and luminaire poles supported by TB1-17 transformer bases. The first part focuses on designing and evaluating a non-proprietary, Type II barricade that meets MASH criteria. A validated LS-DYNA model, based on a previously-tested Type III barricade, was used to guide the design. The proposed Type II system was evaluated through simulation and confirmed with full-scale crash testing. The second part of the study investigates luminaire poles supported by the TB1-17 transformer base. A previously-developed LS-DYNA model was updated and validated using test No. …

A Framework For Quantifying The Benefits Of Electric Vehicle Infrastructure Development, Donya Negahbani

Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research

Under the Biden Administration’s Justice40 Initiative, a significant portion of benefits derived from federal clean transportation investments is required to be directed to disadvantaged communities. Meeting this mandate necessitates a transparent and reproducible approach that quantifies various dimensions of value and allocates them equitably. This dissertation presents a flexible framework specifically tailored for the deployment of electric vehicle charging infrastructure in Nebraska, effectively translating equity goals into rigorous spatial and economic analyses. The framework first identifies multiple distinct categories of benefit that reflect the societal value of charging access: energy savings, economic opportunities, environmental quality enhancements, and public health improvements. …

Development Of Timber Bridge Railing And Approach Guardrail Transition, Aaron Lechtenberger

Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research

Timber bridges with transverse and longitudinal bridge decks are increasingly utilized across the United States. However, limited research exists to develop bridge railing systems for high-service-level roadways that meet current vehicular impact safety standards. In response to this gap, the United States Department of Agriculture - Forest Service -Forest Products Laboratory (USDA-FS-FPL), in collaboration with the Midwest Roadside Safety Facility (MwRSF), initiated a research program to develop, crash test, and evaluate higher-service-level bridge railings and approach guardrail transitions (AGTs) compliant with the American Association of State Highway and Transportation Officials (AASHTO) Manual for Assessing Safety Hardware (MASH).

This study continued …

Empowering Mental Support Health Through Ai Chatbot, Anish Ilapaka

ATU Scholars Symposium

The growing prevalence of mental health concerns worldwide underscores the urgent need for accessible, scalable, and supportive solutions. Artificial Intelligence (AI) has emerged as a promising tool in this domain, capable of delivering immediate and empathetic interactions to complement traditional methods of mental health care. This project introduces a conversational AI system to assist individuals experiencing mental health challenges. The proposed system is built on a LLaMA model fine-tuned with a dataset of 10,000 mental health-related dialogues; the system leverages advanced natural language processing and machine learning techniques for meaningful engagement. The core functionality of this tool lies in its …

Comment La Digitalisation Affecte-T-Elle Les Interactions Sociales, Culturelles Et Économiques Au Maroc ?, Redouane El Majdouli

Dirassat

This study explores the multidimensional impact of digitalization on social, cultural, and economic interactions in Morocco. By leveraging modernization and social network theories, the analysis reveals how digital technologies transform social dynamics, facilitate innovation, and pose challenges in terms of access inequalities and privacy protection. Using a mixed- method approach combining quantitative surveys and qualitative analyses, the results show a growing adoption of digital technologies and their varied effects on Moroccan society. The proposed recommendations aim to maximize the benefits of digitalization while minimizing its risks, contributing to sustainable and inclusive development.

Asymmetric Effects Of The Ebbinghaus Illusion On Relative Depth Judgments In A Perceptual Matching Task, Caden J. Thompson

Honors Theses

The Ebbinghaus illusion, also know as Titchner Circles, is a perceptual illusion that is typically presented as a two-dimensional set of disks. These disks are configured as a central disk surrounded by an annulus of smaller or larger disks. Numerous studies have found the illusion to have an effect on size perception, but fewer studies have analyzed its effects on depth judgments. This study utilized a head-worn virtual reality environment as well as a three-dimensional display to examine the effects of the Ebbinghaus illusion on relative depth judgments in a perceptual matching task. Findings indicated that Ebbinghaus configurations featuring an …

Uta Datathon 2025 Challenges (Archive), Rubab Shahzad, Srinivasa Sai Abhijit Challapalli, Ghanbarian Behzad, Mei Yang, Clivin Geju, Zecil Yogeshkumar Jain, Jay Mahavirkumar Shah, Sai Nikhitha Chandana

2025 Datathon Challenges-Archive

Timed and Model Challenges from the UTA Datathon 2025

Carbon Accountability Scores: A Process-Oriented Approach For Carbon Offsetting Using Ai Agents, Joshit Mohanty, Vaishali Vaishali

Graduate Student Government Association Research Conference

Conventional carbon offset programs rely on quantified emissions to determine balancing requirements. While this approach offers a standardized means of measuring carbon output, it often provides industries with a loophole—allowing them to offset their emissions by purchasing equivalent credits for activities such as tree planting rather than tackling inefficiencies at the source. This research proposes a process-based framework called Carbon Accountability Scores (CA scores) to offer a proactive strategy for assessing and reducing carbon footprints. Instead of focusing on the mere balancing of emitted and sequestered carbon, CA scores integrate an organization’s operational processes into the calculation, thereby offering the …

04.21.2025 Ored Connect, Liz Williamson

ORED Newsletter

ORED Stakeholder Meetings

SEC Travel Grants

04.14.2025 Ored Connect, Liz Williamson

ORED Newsletter

Updated CITI Training Courses

Science Celebration

IHL Prepayment Approval

How Can The Adoption Of Biodegradable Packaging In The Beverage Industry Specifically Contribute To Reducing Single-Use Plastic Waste, And What Regulatory Or Cost-Related Challenges Hinder Its Widespread Implementation In Developing Countries?, Rebecca Aba Gaisie

2025 Awards for Excellence in Student Research and Creative Activity - Documents

This research investigates the potential of biodegradable packaging to reduce single-use plastic waste in the beverage industry and explores the regulatory and cost-related barriers to its adoption in developing countries. The beverage sector is a major contributor to global plastic pollution, and biodegradable alternatives offer a promising path toward sustainability. Using a mixed-methods approach, this study combines qualitative interviews with industry experts and case studies of businesses implementing biodegradable solutions, alongside quantitative survey data from 100 manufacturers and 200 consumers across Africa, Asia, and Latin America. Findings reveal that while biodegradable packaging significantly reduces plastic waste and appeals to environmentally …

65 - Evaluating Drone-Based Stem Camps For Enhanced Engagement And Sel Development, David Morgan

Undergraduate Research Symposium

STEM camps are programs designed to promote exposure to learning associated with science, technology, engineering, and math educational outcomes. However, there is a significant gap in participation for Black and Brown individuals in STEM careers. This study seeks to understand how STEM programs during out-of-school time may support students from underrepresented communities and foster future interest in STEM-related careers. This study employs a retrospective qualitative research design investigating program participation in a week-long STEM camp in Hampton, Virginia. Thirty middle and high school students participated in the curriculum, technical drone skills, emphasizing emotional intelligence, self-regulation, and social awareness. These findings …

04.07.2025 Ored Connect, Liz Williamson

ORED Newsletter

New ORED Website Goes Live

Oxford Pitch Competition

Hughes Miller, Strategic Partnerships

From Adversarial Attacks To Robust Classifiers - A Study In Social Media Spam Detection - Black Box & White Box, Jonathan Jose Penaloza Rumie

Undergraduate Theses

Adversarial attacks pose a significant threat to the reliability of machine learning-based spam detection systems in social media. This undergraduate thesis, "From Adversarial Attacks to Robust Classifiers: A Study in Social Media Spam Detection – Black Box & White Box," systematically examines the impact of both black-box and white-box adversarial attacks on a range of spam classifiers, including Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Bagging, Gradient Boosting, and Support Vector Machines. Leveraging a novel dataset derived from Twitter spam messages and enhanced with adversarial perturbations such as synonym replacement and character-level modifications, this study evaluates classifier performance under …

The Impact Of Visual Stimuli And The Properties Of Green Walls On Human Well-Being In Built And Immersive Virtual Environments, Alireza Sedghikhanshir

LSU Doctoral Dissertations

The built environment significantly influences human well-being, particularly in the context of stress recovery and cognitive restoration. This dissertation investigates the impact of visual stimuli, particularly green walls, on human responses related to stress, restoration, and thermal comfort. The research is guided by three primary objectives: (1) examining the role of visual stimuli and their properties in promoting stress recovery and restoration, (2) evaluating the potential of Immersive Virtual Environments (IVEs) as tools for delivering and studying restorative environments, and (3) investigating the influence of green walls on indoor environmental conditions.

A series of experimental studies were carried out to …

Sources Of Tensions In Ai Adoption For Organ Procurement Organizations, Amaneh Babaee, Grace Hall, Daniel Burton Shank, Casey I. Canfield

Miners Solving for Tomorrow Research Conference

No abstract provided.

How Do Human And Ai Gender Bias Interact In Hiring Decisions?, Eyuel Getahun, Daniel Burton Shank, Casey I. Canfield, Jessica L. Cundiff, Jenny Davis, Celia Freed

Miners Solving for Tomorrow Research Conference

No abstract provided.