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Learning Under Data Scarcity: Reasoning And Negative Distillation For Texts And Graphs, Calvin T. Greenewald

Browse all Theses and Dissertations

Modern machine learning (ML) models rely on large amounts of high-quality labeled data to achieve optimal performance. However, in many real-world domains, such as cyber security, acquiring sufficient labeled data is often infeasible due to cost, privacy concerns, and the rapid evolution of underlying phenomena. This challenge underscores the importance of learning under data scarcity. This thesis addresses this challenge by proposing distinct, modality-specific techniques for text and graph domains, which allow models to generalize effectively with minimal data. For text classification task, we incorporate distilled rationales from large language models and adversarial perturbations into the input space to improve …

The Aerodynamics Of Bird Perching: Understanding Wing And Body Interactions In Pigeon Flight, Anirudh Sriram

Honors Undergraduate Theses

During landing, birds often execute a perching maneuver. The perching maneuver refers to the complex series of actions that birds, and pigeons in particular, will perform when landing. They will typically decelerate by pitching their body to a high angle of attack and spreading their wings. It is believed to help achieve better control and reach optimal lift and drag coefficients. This study seeks to better understand the vortex interactions between the main and tail wings during this maneuver. However, it is still an unexplored phenomenon. Thus, two bird models were conceived to analyze it, one with and one without …

Jack Reacher And The Deployment Of An Airbag, Gregory A. Dilisi, Richard A. Rarick

2025 Faculty Bibliography

No abstract provided.

Beyond Assessment Security: A Critical Policy Analysis Of Four Alternative Strategies To Uphold Academic Integrity And Adopt The Genai Transformation Of Teaching And Learning For An Accredited Engineering Degree, Sasha Nikolic, Montserrat Ros, Yasir M. Al-Abdeli, Helen Fairweather

Research outputs 2022 to 2026

Generative Artificial Intelligence (GenAI), exemplified by tools such as ChatGPT, has posed significant challenges and opportunities in the realm of academic integrity, particularly in engineering education. This commentary critically examines alternative strategies that go beyond traditional assessment security, aiming to uphold academic integrity while embracing the transformative potential of GenAI in teaching and learning. In the context of programs that rely on unit level outcomes to determine the overall student progression (not the programmatic approach to progression), this study identifies and explores four strategies that may offer potential improvements to assessment security: I-risk-level analysis, which aligns the mix of supervised …

A Pathway To Completion: Student Veterans Pursuing Engineering Degrees, Kim E. Bullington, Cynthia L. Tomovic, Anthony W. Dean, Vukica Jovanovic

Educational Leadership & Workforce Development Faculty Publications

This 5‐year research project was based on an NSF S‐STEM research grant (1742118) focused on student veteran education and workforce preparation. We addressed STEM workforce and defence community needs by providing targeted scholarships and support for veteran students pursuing engineering degrees. Our aim was to enhance the workforce by improving access and success rates through financial and institutional support, while developing evidence‐based practices for recruitment, retention and graduation of student veterans. Through targeted interventions, we examined obstacles student veterans face in education and in engineering programs and increased their sense of camaraderie, career awareness, engineering identity, professional development, financial security …

Understanding High School Students’ Identities In Stem Through Video Elicitation, Andrea N. Perrin

Theses and Dissertations--Science, Technology, Engineering, and Mathematics (STEM) Education

Understanding how high school students develop their STEM identities is essential for creating inclusive and engaging learning environments that foster persistence in STEM fields. This qualitative study explores the experiences of high school seniors in an engineering capstone course within a diverse Midwestern high school, utilizing video elicitation as the primary research method. Through video interviews, transcript reviews, and thumbnail selections, students provided firsthand insights into their evolving STEM identities, sense of belonging, and the factors influencing their persistence in engineering.

Findings reveal that social interactions, autonomy in learning, hands-on experiences, and real-world applications of engineering concepts shape students' STEM …

Jovial Family Farm Facilitates Intergenerational Learning Opportunities Through Urban Farming, Maera Williams

Purdue Journal of Service-Learning and International Engagement

Maera Williams is a sophomore in Environmental and Ecological Engineering at Purdue University. She joined the Engineering Projects in Community Service (EPICS) Urban Farming team as a freshman and now serves as project manager of ten undergraduate students collaborating with Jovial Family Farm to design and develop three indoor hydroponics systems for a laboratory space on their property in Broad Ripple, IN. Jovial Family Farm is a nonprofit organization founded by Drs. Bobbie and Brian Jellison with the mission to provide senior citizens, their families, and their communities with meaningful engagement opportunities on an intergenerational scale through urban agricultural activities. …

Book Review: Ai [Artificial Intelligence] Fundamentals For Business Leaders, Eya Mahouachi

The Journal of Values-Based Leadership

Artificial Intelligence Fundamentals for Business Leaders: Up to Date with Generative AI (Byte-sized Learning Book 1) is a recent book in a series of four on Artificial Intelligence. It is authored by I. Almeida, the Chief Transformation Officer at Now Next Later AI, an AI advisory, training, and publishing business that supports organizations with their AI strategy, transformation, and governance.

This book is organized around understanding AI, Data and Data Management, Machine Learning, Deep Learning, Model Selection and Evaluation, and Generative AI. The last chapter incorporates an assignment for leaders. This book employs an effective approach to help readers grasp …

The Design And Implementation Of A Modular Tissue Engineering Test Bed To Pursue An Alternate Pathway Of Cell Culture Based Research, Ryley Patrick Griffin

Theses and Dissertations

The development of a Modular Automated Tissue Engineering Test Bed (MATETB) is the next step in the development of cheap and easily available in vitro cell regulatory systems for both academic and industrial purposes. This project outlined the framework and requirements for a device that could automatically regulate and collect data on a cell culture through the manipulation of its liquid environment. From this framework, a prototype was built. The device would fulfill cell culture needs while collecting data automatically and allowing for live viewing and imaging of cells. The device was comprised of a mechanical skeleton (MS), an environmental …

Stochastic Predictive Modeling Of Social Media Stocks And Reliability Of Hard Disk Drives, Sameer Anand

USF Tampa Graduate Theses and Dissertations

In recent years, social media has emerged as a highly appealing investment sector due to its substantial returns. Our research focuses on creating a predictive model for the financial performance of social media companies. We gathered data from five companies in the S&P 500: Meta, Etsy, Match, Pinterest, and Alphabet. We developed a non-linear, data-driven stochastic analytical model that employs real data, incorporating six financial indicators and four economic indicators, to forecast the weekly closing prices of these social media companies with an accuracy of 94.7%. Additionally, we ranked the statistically significant indicators and their interactions based on their percentage …

Variations Of Aquaculture Structures, Operations, And Maintenance With Increasing Ocean Energy, Kevin G. Heasman, Nicholas Scott, Tyler Sclodnick, Michael Chambers, Barry Costa-Pierce, Tobias Dewhurst, Wolf Isbert, Bela H. Buck

Faculty Publications

Aquaculture in exposed and/or distant ocean sites is an emerging industry and field of study that addresses the need to improve food security along with the challenges posed by expansion of urban and coastal stakeholders into nearshore and sheltered marine waters. This move necessitates innovative solutions for this industry to thrive in high-energy environments. Some innovative research has increased understanding of the physics, hydrodynamics, and structural requirements enabling the development of appropriate systems. The blue mussel (Mytilus edulis), the New Zealand green shell or green lipped mussel (Perna canaliculus), and the Pacific Oyster (Magallana gigas), are the primary targets for …

Variations Of Aquaculture Structures, Operations, And Maintenance With Increasing Ocean Energy, Kevin G. Heasman, Nicholas Scott, Tyler Sclodnick, Michael Chambers, Barry Costa-Pierce, Tobias Dewhurst, Wolf Isbert, Bela H. Buck

Faculty Publications

Aquaculture in exposed and/or distant ocean sites is an emerging industry and field of study that addresses the need to improve food security along with the challenges posed by expansion of urban and coastal stakeholders into nearshore and sheltered marine waters. This move necessitates innovative solutions for this industry to thrive in high-energy environments. Some innovative research has increased understanding of the physics, hydrodynamics, and structural requirements enabling the development of appropriate systems. The blue mussel (Mytilus edulis), the New Zealand green shell or green lipped mussel (Perna canaliculus), and the Pacific Oyster (Magallana gigas), are the primary targets for …

Collaborating Across Academic Units: The Mississippi State University Erle Project, Lis Pankl, Jason M. Keith

Collaborative Librarianship

Mississippi State University (MSU), a public land-grant institution with Very High Research Activity (R1) as classified by the Carnegie Classification of Institutions of Higher Education, is developing and implementing a new transformative strategic plan to further emphasize collaborative, experiential learning to prepare students for relevant careers upon graduation. As an institution located in a rural part of the southeastern United States in an underserved state, first-to-second year student retention rates and six-year graduation rates have been lower than those of peer and peer-plus universities. As such, the university administration has challenged its faculty and academic leaders to think creatively for …

Inclusion Of American Sign Language In Science And Engineering, Alejandro Mejia-Tejada

Society for American Sign Language Journal

For the general public, deaf people are typically known for their signing skills and living as signers, not speakers. However, there is more to this picture. Specifically, one area of consideration and investigation relates to how American Sign Language (ASL) is used as a language in the domains of science and engineering. The other area of investigation relates to how deaf people contribute to the STEM (science, technology, engineering, and math) fields. It will be demonstrated that deaf community members are making inroads into STEM through working as scientists and engineers, including one deaf person known for participating in training …

Designing A Haptic Boot For Space With Prompt Engineering: Process, Insights, And Implications, Mohammad Amin Kuhail, Jose Berengueres, Fatma Taher, Sana Khan, Ansah Siddiqui

All Works

The existing literature has highlighted the potential of Artificial Intelligence (AI) tools in enhancing ideation and optimizing functionality across various engineering disciplines. However, a comprehensive understanding of the impact of AI on the engineering design process, particularly in creating innovative and efficient designs, is currently lacking. This research specifically investigates the integration of AI in developing space-haptic boots by utilizing haptic technology for immersive virtual interactions. The study analyzes the role of an AI tool, ChatGPT-3.5, in the design process, starting from requirement gathering to prototyping and testing, to assess the effectiveness and challenges of AI in engineering design. We …

A Platform For Integrating Internet Of Things, Machine Learning, And Big Data Practicum In Electrical Engineering Curricula, Nandana Jayachandran, Atef Abdrabou, Naod Yamane, Anwer Al-Dulaimi

All Works

The integration of the Internet of Things (IoT), big data, and machine learning (ML) has pioneered a transformation across several fields. Equipping electrical engineering students to remain abreast of the dynamic technological landscape is vital. This underscores the necessity for an educational tool that can be integrated into electrical engineering curricula to offer a practical way of learning the concepts and the integration of IoT, big data, and ML. Thus, this paper offers the IoT-Edu-ML-Stream open-source platform, a graphical user interface (GUI)-based emulation software tool to help electrical engineering students design and emulate IoT-based use cases with big data analytics. …

Engineering Cell-Free Protein Synthesis Biosensors For Point Of Care Use, Tyler Jordan Free

Theses and Dissertations

Diagnostic tests can dramatically improve and save lives. Survival rates and patient outcomes related to cancer and other diseases can be improved when routine testing guides personalized treatment. Highly accurate laboratory tests exist for thousands of biomarkers, including those of interest in this dissertation, but cost and complexity limit access to life-saving lab tests in many cases throughout the world. To fill this need and increase accessibility of diagnostics, in this report we report our engineering advancements towards portable biosensors for colorimetric detection of glutamine, endocrine disrupting compounds (EDC), and pathogenic RNA which are key biomarkers in cancer treatment monitoring, …

“Oh, That’S Engineering?”: Complicating Black Women Educators’ Understanding Of Engineering Practices In Urban Elementary Schools, Brittany N. Anderson, Ginaya S. Littlejohn

Journal of Pre-College Engineering Education Research (J-PEER)

In most teacher preparation programs, a focus on standards and curricula with STEM concepts, specifically engineering, are largely missing from the teacher licensure requirements. There have been few opportunities for teacher educators to teach, learn, and reflect on the nuanced complexities of STEM, specifically engineering concepts and practices in urban elementary schools. This university-school- community partnership, led by Black women, focused on the early exploration of STEM with high-ability/ gifted Black girls, caregivers, and their Black women educators. In this qualitative study, Black women teachers were able to disrupt assumptions and stereotypes of STEM, particularly in engineering, and identify challenges …

Investigating The Fatigue Life Of Asymmetric And Novel Helical Gear Drives, Rajesh S

Theses and Dissertations

The present research work investigates the contact and bending fatigue life of asymmetric helical gear and novel helical gear based on the finite element analysis. In the first phase, the contact and bending fatigue life of the asymmetric helical gear drives is estimated based on the strain life approach.

Further, a parametric study is carried out to investigate the influence of important helical gear parameters such as module, pressure angle, helix angle, gear ratio, teeth number and face width on contact and bending fatigue life of asymmetric helical gear drives. It is noted that the asymmetric helical gear shows a …

Persistent Behavior In Solar Energetic Particle Time Series, N V. Sarlis, G Livadiotis, D J. Mccomas, M E. Cuesta, L Y. Khoo, C M S Cohen, D G. Mitchell, Nathan A. Schwadron

Faculty Publications

We investigate the long-term persistence of solar energetic particle (SEP) time series by means of four different methods: Hurst rescaled range R/S analysis, detrended fluctuation analysis, centered moving average analysis, and the fluctuation of natural time under the time reversal method. For these analyses, we use data sets from the Integrated Science Investigation of the Sun instrument suite on board NASA's Parker Solar Probe. Background systematic noise is modeled using cross-correlation analysis between different SEP energy channels and subtracted from the original data. The use of these four methods for deriving the time-series persistence allows us to (i) differentiate between …

Persistent Behavior In Solar Energetic Particle Time Series, N V. Sarlis, G Livadiotis, D J. Mccomas, M E. Cuesta, L Y. Khoo, C M S Cohen, D G. Mitchell, Nathan A. Schwadron

Faculty Publications

We investigate the long-term persistence of solar energetic particle (SEP) time series by means of four different methods: Hurst rescaled range R/S analysis, detrended fluctuation analysis, centered moving average analysis, and the fluctuation of natural time under the time reversal method. For these analyses, we use data sets from the Integrated Science Investigation of the Sun instrument suite on board NASA's Parker Solar Probe. Background systematic noise is modeled using cross-correlation analysis between different SEP energy channels and subtracted from the original data. The use of these four methods for deriving the time-series persistence allows us to (i) differentiate between …

Social Cognitive Factors That Contribute To Student Retention In A High School Engineering Pathway: A Longitudinal Study, Matthew Vargyas

Theses and Dissertations

This action research study investigated the cognitive factors that impacted students’ choice to continue within a high school engineering pathway, and the effect of multiple engineering courses on students’ engineering self-efficacy. Participants (N = 87) were students who completed three quantitative surveys throughout the engineering course(s) in which they were enrolled. Using the theoretical framework of Social Cognitive Career Theory, each survey measured student engineering self-efficacy, coping self-efficacy, outcome expectations, interests, persistence goals, external supports, and external barriers. Near the end of the course, students completed a qualitative, open-response questionnaire where they indicated their decision to continue in the engineering …

Overcoming Barriers To Improved Decision-Making For Battery Deployment In The Clean Energy Transition, Brian Tarroja, Julie M. Schoenung, Oladele Ogunseitan, Alissa Kendall, Yang Qiu, Timothy Malloy, Jens Peters, J. Mijin Cha, Dustin Mulvaney, Oliver Heidrich, Manuel Baumann

Faculty Research, Scholarly, and Creative Activity

Decarbonization plans depend on the rapid, large-scale deployment of batteries to sufficiently decarbonize the electricity system and on-road transport. This can take many forms, shaped by technology, materials, and supply chain selection, which will have local and global environmental and social impacts. Current knowledge gaps limit the ability of decision-makers to make choices in facilitating battery deployment that minimizes or avoids unintended environmental and social consequences. These gaps include a lack of harmonized, accessible, and up-to-date data on manufacturing and supply chains and shortcomings within sustainability and social impact assessment methods, resulting in uncertainty that limits incorporation of research into …

2024 Spring Term Sls261/Phy206 Syllabus, Gustavo Machado Monteiro

Open Educational Resources

No abstract provided.

Design And Implementation Of A Vision-Based Deep-Learning Protocol For Kinematic Feature Extraction With Application To Stroke Rehabilitation, Juan Diego Luna Inga

Master's Theses

Stroke is a leading cause of long-term disability, affecting thousands of individuals annually and significantly impairing their mobility, independence, and quality of life. Traditional methods for assessing motor impairments are often costly and invasive, creating substantial barriers to effective rehabilitation. This thesis explores the use of DeepLabCut (DLC), a deep-learning-based pose estimation tool, to extract clinically meaningful kinematic features from video data of stroke survivors with upper-extremity (UE) impairments.

To conduct this investigation, a specialized protocol was developed to tailor DLC for analyzing movements characteristic of UE impairments in stroke survivors. This protocol was validated through comparative analysis using peak …

Engineering Thermodynamics, Paul J. Marchese

Open Educational Resources

This collection of assignments is designed for an introductory thermodynamics class. It includes comprehensive readings that cover the fundamental concepts, problem sets to reinforce learning through practical application, and YouTube videos that provide detailed explanations and visual demonstrations of the material. These resources can be utilized in a regular classroom setting or for independent study, offering flexibility to accommodate different learning environments and preferences.

Affordable Bioprint Head-Adapter For 3d Printers, Andrew Ceralde, Dominic Drake, Noah Engles, Mohammad Alwan, Nevada Perry

Honors Capstones

Introduction: Addressing the need for affordable and accessible bioprinting technology, the Northern Illinois University bioprinting research and design project aims to democratize the field by developing an open source bioprint head. The initiative targets the prohibitive cost of commercial bioprinters by proposing an optimal design that can be integrated with widely available 3D printers, like the Creality Ender-3. This approach seeks to enable the widespread adoption of bioprinting technology, particularly for applications in tissue engineering and regenerative medicine.

Methods: Leveraging SolidWorks for design, the project employs a methodology that combines a precision extrusion system with thermal and UV crosslinking capabilities. …

Improving The Power Efficiency Of Woodward’S High-Power Inverter (Hpi) Using Algorithmic Part Selection., Jaron Holder, Ali Al Gazwi, John Childers, Jose Soublett

Honors Capstones

Woodward Inc. is a secondary aerospace manufacturer based in the USA that specializes in aircraft power and control systems. This senior design project was concerned with a power systems platform currently in development by Woodward, the High-Power Inverter (HPI) system. In this report, the senior design group from Northern Illinois University (NIU) demonstrated the creation of an algorithmic part selection process to choose more power-efficient electrical components, the prototyping using MATLAB Simulink, and the practical testing that showed an increase of 7% in the power efficiency of the HPI system.

Using Tensile And Compressive Stress Superposition During Incremental Forming To Manipulate Martensitic Transformation In Ss304, E M. Mamros, F Maab, A E. Tekkaya, Brad L. Kinsey, J Ha

Faculty Publications

Single point incremental forming (SPIF) is a flexible manufacturing process that has applications in industries ranging from biomedical to automotive. In addition to rapid prototyping, which requires easy adaptations in geometry or material for design changes, control of the final part properties is desired. One strategy that can be implemented is stress superposition, which is the application of additional stresses during an existing manufacturing process. Tensile and compressive stresses applied during SPIF showed significant effects on the resulting microstructure in stainless steel 304 truncated square pyramids. Specifically, the amount of martensitic transformation was increased through stress superposed incremental forming. Finite …

Using Tensile And Compressive Stress Superposition During Incremental Forming To Manipulate Martensitic Transformation In Ss304, E M. Mamros, F Maab, A E. Tekkaya, Brad L. Kinsey, J Ha

Faculty Publications

Single point incremental forming (SPIF) is a flexible manufacturing process that has applications in industries ranging from biomedical to automotive. In addition to rapid prototyping, which requires easy adaptations in geometry or material for design changes, control of the final part properties is desired. One strategy that can be implemented is stress superposition, which is the application of additional stresses during an existing manufacturing process. Tensile and compressive stresses applied during SPIF showed significant effects on the resulting microstructure in stainless steel 304 truncated square pyramids. Specifically, the amount of martensitic transformation was increased through stress superposed incremental forming. Finite …