Digital Commons Network^™

Multi-Parameter Optimization And Adaptive Temperature Compensation For Fbg Strain Sensors In Wide-Temperature-Range Aerospace Applications, Ruling Zhou, Jiacheng Yu, Yutang Dai, Jianguan Tang, Minghong Yang, Farhan Mumtaz

Electrical and Computer Engineering Faculty Research & Creative Works

Accurate strain measurement in cryogenic fuel pipelines is crucial for ensuring the structural integrity and reliability of rocket engine systems operating under extreme thermal conditions. Fiber Bragg grating (FBG) sensors show significant potential for such applications; however, their inherent temperature-strain cross-sensitivity limits performance over wide temperature ranges. This research presents an enhanced compensation strategy combining multi-parameter optimization with temperature-zone-specific adaptation to improve the accuracy and stability of FBG-based strain sensing in harsh aerospace environments. Four special steel substrate materials including S03, S06, S07, and 1Cr18Ni9Ti, were evaluated using strain transfer theory and thermo-mechanical coupling simulations. Genetic algorithms optimized key design …

Safe Optimal Control Framework For Cooperative Manipulation Of Objects In Human–Robot Teams, Irfan Ganie, Sarangapani Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

This article introduces a distributed deep neural network (NN)-based adaptive control framework for cooperative object manipulation in human–robot teams with unknown agent dynamics by using three distinct multilayer NN observers (MNNOs). The first observer, termed the reference point estimator, enables each robotic agent to estimate the object's reference center using consensus-based learning, even without direct access to global reference trajectories. The second observer, referred to as the human force-to-trajectory estimator, uses human-applied forces to infer the intended position, velocity, and acceleration of the object, enabling real-time estimation of human intent. Together, these two observers allow distributed estimation of human-intended motion. …

Self-Calibrating Uav Navigation: Reinforcement Learning Approaches For Horizontal Trajectory Estimation, Shirin Nasr-Esfahani, S. Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

Accurate unmanned aerial vehicle (UAV) trajectory estimation is essential for autonomous navigation, particularly in GPS-denied environments. Visualodometry and simultaneous localization and mapping (SLAM) approaches require precise camera intrinsic parameters, which are typically obtained through predefined or offline calibration. Instead, in this work, we propose a reinforcement learning (RL)-based self-calibration framework that estimates camera intrinsic parameters directly from monocular video sequences, without requiring prior knowledge of the camera, environment, or calibration targets. This intrinsic parameter estimation is then leveraged to achieve robust UAV trajectory estimation using only video data. We formulate the problem as a sequential decision-making task, where an RL …

Rf-Attennet: A Hybrid Attention-Enhanced Network For Mixed Signal Classification In Uav Swarm Detection, Prajoy Podder, Mohammad Atikur Rahman, Maciej Zawodniok, Sanjay Madria

Electrical and Computer Engineering Faculty Research & Creative Works

The continuous increase of UAVs, particularly in swarms, creates significant challenges for security and airspace regulation. Traditional RF fingerprinting methods struggle to detect and classify UAV swarms due to overlapping signals and interference. This study introduces RF-AttenNet, a hybrid deep learning model designed to classify mixed UAV signals by analyzing composite RF spectrograms. RF-AttenNet uses dual attention mechanisms, channel and spatial attention to focus on critical spectral features, enabling the model to effectively separate and identify overlapping UAV signals. We have developed custom composite UAV datasets that simulate real-world swarm interference, incorporating both single and mixed UAV classes. RF-AttenNet achieves …

Fixed-Time Consensus Tracking For Nonlinear Multi-Agent Systems Under Aperiodically Intermittent Control, Lei Xue, Tong Wu, Wenwen Jia, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

This article explores the problem of fixed-time consensus tracking (FT-CT) for nonlinear multi-agent systems utilizing the a periodically intermittent control (AIC) strategy. In contrast to existing control algorithms, the proposed algorithm utilizes the AIC strategy instead of the conventional continuous-time control strategy, effectively reducing the consumption of communication resources. Moreover, the problem of intermittent FT-CT is well handled by proposing the average control rate of the AIC strategy. Two theorems based on the cases of directed and undirected graphs are proposed, respectively. Finally, the validity of these results is confirmed through numerical simulations on a general nonlinear system and a …

Resolving Stiffness Trade-Offs In Simultaneous Pressure And Vibration Sensing Using A Corrugated-Tube Fiber-Optic Sensor, Yizheng Chen, Yan Tang, Jie Huang, Qi Zhang, Biyao Shi, Zewei Wu

Electrical and Computer Engineering Faculty Research & Creative Works

This article proposes and experimentally demonstrates a corrugated-tube-based fiber-optic sensor capable of measuring pressure, vibration, or both simultaneously. To address the limited sensitivity of conventional diaphragm-based designs, the sensor incorporates an optimized corrugated tube that balances the conflicting stiffness requirements for pressure and vibration measurements. The corrugated tube, acting as a mechanical transducer, is integrated with an extrinsic fiber-optic Fabry–Perot interferometer (EFPI). The EFPI cavity is formed between a reflective surface at the sealed end of the corrugated tube and the cleaved end face of an optical fiber fixed within a mounting assembly. In this configuration, displacement of the corrugated …

Transformer-Customer Relationship Identification Based On Load-Switching Fluctuation Characteristics Considering Same-Feeder-Adjacent-Transformer Condition, Yanan Zhang, Gan Zhou, Yuyuan Liu, Wei Gu, Yanjun Feng, Yujue Wang, Rui Bo

Electrical and Computer Engineering Faculty Research & Creative Works

Accurately identifying the connectivity between transformers and downstream three-phase customers in low-voltage distribution networks is challenging, because voltage curves of different phases and nearby nodes can be weakly distinguishable, especially when adjacent transformers on the same feeder serve geographically close customers with highly similar voltage curves. This paper proposes a novel method based on load-switching fluctuation characteristics recorded by smart meters. By extracting localized current and voltage fluctuations and establishing correlation matching, the method overcomes the limited discriminability using steady-state measurements. The method operates in two stages: first, switching-induced fluctuation characteristics are extracted and matched to cluster customers by the …

Event-Based Predefined-Time Synchronization For Complex Networks With Deception Attacks: An Asynchronously Intermittent Strategy, Lei Xue, Jiong Yu, Haoyu Zhou, Yongbao Wu, Jian Liu, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

This article studies the practical predefined-time synchronization (PPTS) for complex networks (CNs) under deception attacks based on the asynchronously intermittent event-triggered control (AIE-TC). Notably, AIE-TC effectively integrates the advantages of asynchronously intermittent control (AIC) and event-triggered control, where AIC provides each subsystem node with independent control and rest intervals. Besides, all synchronization errors of the CNs converge to an adjustable neighborhood within the predefined time by designing a bounded time-varying function into the controller. Moreover, this article considers that the transmission network is subjected to stochastic deception attacks modeled by a Markov process, which captures the state-driven dynamic transition characteristics …

Perspectives Of Rural Educators On The Dependencies And Drawbacks Of Chat Gpt In Nigerian Higher Education Practices, Adedayo Olayinka Theodorio Dr, Francisca Jumoke Theodorio, Olumide Gbenga Olugbodi, Peter Adebowale Samson, Olusegun Olawale Olakotan

Journal of Educational Technology Development and Exchange (JETDE)

ChatGPT remains a valuable tool for transforming teaching strategies and supporting students’ comprehension of subject matter. However, its adoption and research remain uneven within the context of higher education in Nigeria. Specifically, there is limited empirical research that exemplifies real-world experiences regarding the dependencies and drawbacks in rural educational settings. This qualitative single-case study explored this phenomenon at a southwestern institution in Nigeria, involving a purposively selected group of educators. Data were gathered through participatory observation and focus group interviews, which were thematically analysed. The results indicated that the effective use of ChatGPT in rural higher education heavily depends on …

An Incidental Standard For Medical Ai, Nicholson W. Price Ii

Articles

Medical AI is poised to make a major difference in the provision of health. It brings major challenges, though: how can developers and implementers ensure that it will work safely and effectively—especially within the context of complex and highly variable health-care systems? Standards provide one key tool, potentially providing guidelines for everything from privacy to accuracy to how AI interacts with human clinicians. This Essay considers the last of these, describing a powerful quasi-standard from a surprising source: an FDA guidance document that tells developers when certain AI systems are not considered medical devices, and are therefore not regulated by …

Longitudinal Associations And Interactions Of Adolescent Religious Deidentification And Parental Sanctification On Parent-Adolescent Relationships, Justin Hendricks, Sam A. Hardy, Michael A. Goodman, Emily De Schweintiz Taylor

Faculty Publications

In many religious families, shared religious identity is a strong source of intergenerational solidarity. However, when adolescents deidentify from their family faith, normative parent-adolescent conflict, which heightens in mid-adolescence and normally subsides in late-adolescence, may intensify and damage parent-adolescent social cohesion. Many religious parents view parenting relationships as sanctified, which typically leads to adaptive parenting, but in the context of deidentification may lead to greater distress. To understand how adolescent religious deidentification influences parentadolescent relationships, we examined the longitudinal associations and interactions of adolescent children’s religious deidentification and parental sanctification on parent-child religious conflict and parental warmth (N = 1,391 …

Developmental Themes Associated With Religious Activity After Early Return From A Latter-Day Saint Mission, Samuel E. Hancock, Sam A. Hardy, Michael Goodman, Camron Angell, Jenae M. Nelson

Faculty Publications

In the Church of Jesus Christ of Latter-day Saints, qualified young men are expected (and young women are given the option) to complete extended missionary service during the transition to adulthood. Some youth end their missionary service short of the anticipated duration, which is associated with markedly lower rates of religious activity post-return. This study is a qualitative inquiry into the developmental themes associated with early returned missionaries from the Church of Jesus Christ of Latter-day Saints who chose to remain active (be consistently involved with the church), sampling from areas with high rates of Latter-day Saint activity, where stigmatization …

A General Algorithm For Assortment Optimization Under Random Utility Choice Models, Tien Mai, Andrea Lodi

Research Collection School Of Computing and Information Systems

This work concerns the assortment optimization problem that refers to selecting a subset of items that maximizes the expected revenue in the presence of the substitution behavior of consumers specified by a random utility choice model. The key challenge lies in the computational difficulty of finding the best subset solution, which often requires exhaustive search. The literature on constrained assortment optimization lacks a practically efficient method that is general to deal with different types of customer choice models (e.g., the multinomial logit, mixed logit or general multivariate extreme value models). In this work, we propose a new approach that allows …

Decentralized Linear Solvers: Communication Cost And Privacy, Nelson G. Brasil, Vinay A. Vaishampayan

Publications and Research

We consider the problem of multiple parties iteratively solving a system of linear equations in a decentralized manner. Specifically, we solve for $\negr{x} \in \R^n$, the $n \times n$ system of linear equations $M\negr{x} = \negr{b}$ when each party only knows their row of the matrix $M$ and a single component of $\negr{b} \in \R^n$. Our objective is to determine the tradeoff between the accuracy of the solution and the total communication cost measured in bits. A fully connected, reliable mesh network is assumed to connect the different parties. We develop a general formulation that applies to a large class …

The “Green Persuasion Effect” Of Negative Messages: How And When Message Framing Influences Tourists’ Environmentally Responsible Behavior, Xuehuan He, Chengzhi Ye, Songshan Huang, Lujun Su

Research outputs 2022 to 2026

Tourist activities may harm the environment, making tourists’ environmentally responsible behavior particularly important in tourism research. This research investigates the persuasion effect of message framing in environmental protection reminders on environmentally responsible behavior. Through five studies employing both field and controlled experiments and different measures of environmentally responsible behavior across varied tourism scenarios, we demonstrate that negatively (vs. positively) framed messages more effectively increase environmentally responsible behavior. Specifically, negatively framed messages are more effective in enhancing tourists’ environmental awareness, which triggers more environmentally responsible behavior. Furthermore, we identify social class as a moderator of message framing effectiveness, showing that negatively …

Australian University Websites As Colonialities Of Gender, Emily M. Gray, Ampersand Pasley, Emma Fishwick, Mindy Blaise, Jacqueline Ullman, Maria Delaney

Research outputs 2022 to 2026

This paper offers analysis of the first phase of a research project, Understanding and Addressing Everyday Sexisms in Australian Universities. This phase involved a critical content analysis of all 39 of Australia’s public university websites, focusing on how they represent gender, absences in relation to gender and the navigability of the websites in relation to gender equity policy. Drawing on Maria Lugones’s colonialities of gender, this paper demonstrates how university websites have the potential to reproduce or renegotiate inherited institutional everyday sexisms and broader gender inequities. Themes of reconfiguring acceptable gendering, conspicuous absences, and in-built obscurity that emerged from this …

Can Environmentally Friendly Hotels Lead Customers To Green Behaviors? Evidence From The Stimulus–Organism–Response Model And Social Cognitive Theory, Saeid Nosrati, Mohtaram Rabbani, Razieh Sharifipur Shirazi, Ilkay Yorganci, Niusha Talebzadeh, Negin Bassirat

Research outputs 2022 to 2026

Purpose Using the stimulus–organism–response model and social cognitive theory, this study aims to examine how environmentally friendly hotels influence customers’ green patronage intention and green word-of-mouth. The study explored the mediating effects of hedonic value and utilitarian value and the moderating role of environmental concern. Design/methodology/approach Data were collected from 200 customers of environmentally friendly hotels in Iran and analyzed using structural equation modeling (SEM) with Mplus (version 8.3) software. Findings The results indicate that environmentally friendly hotels positively influence hedonic and utilitarian values, as well as green patronage intention and green word-of-mouth. Additionally, hedonic and utilitarian values partially mediate …

Exploring The Use Of Strategic Influencer Leadership (Sil) In Health Communication: A Cross-Cultural, Multi-Case Study, Katharina Wolf, Catherine Archer, Syafiq B. Assegaff, Joseph Nalloor

Research outputs 2022 to 2026

Purpose This study challenges the social media-centric view of influencers, arguing that health communication benefits from diverse strategic influencers beyond commercial figures. Trust, credibility and cultural resonance are essential for effective public health messaging, yet contemporary approaches often prioritise engagement metrics over strategic influence. Design/methodology/approach This paper employs a multi-case study approach to examine the strategic use of influencers in health communication across Indonesia, the United Arab Emirates and Australia during the COVID-19 pandemic. It explores how health professionals, royal representatives and a politician shaped public health messaging within culturally specific contexts. A mixed-methods approach, incorporating ethnographic research and thematic …

Generative Artificial Intelligence (Genai) In Procurement And Supply Chain Management: Applications, Opportunities And Challenges, Vinay Singh, Laurie Hughes, Mousa Ahmed Albashrawi, Il Jeon, Yogesh K. Dwivedi

Research outputs 2022 to 2026

Purpose: This article aims to explore the transformative potential of generative artificial intelligence (GenAI) in procurement and supply chain management (SCM), with a focus on its practical applications, strategic implications and integration challenges. Design/methodology/approach: Adopting a conceptual approach, this article presents the authors’ views and arguments, supported by a review of existing literature and informed by insights from discussions with industry experts. The discussion in this conceptual article is anchored in the supply chain operations reference model. Findings: This research addresses critical questions regarding the practical and strategic impacts of GenAI, emphasizing its ability to simulate scenarios, deliver real-time insights …

An Analysis Of The Influence Of Project-Based Assessments In Middle School Mathematics, Andrea Fettkether

Dissertations and Theses @ UNI

In today’s diverse classrooms, teachers face the challenge of educating students with varied academic abilities, including those with disabilities, gifted learners, and students at grade level. The Individuals with Disabilities Education Act (IDEA) ensures inclusive access to core curriculum, but educators must differentiate instruction to meet all learners’ needs. Traditional assessments focus on rote memorization, often failing to reflect deeper understanding or real-world problem-solving.

In middle school math, standard curricula often lack project-based assessments, despite research supporting their effectiveness in improving academic achievement and student engagement. Students benefit from working in collaborative environments where they can discuss mathematical ideas, receive …

The Shared Superintendent In Iowa: Benefits, Challenges, And Lessons Learned Over The Last Thirty Years, Amanda Schmidt

Dissertations and Theses @ UNI

This study examined the benefits, challenges, and leadership qualities associated with the shared superintendent model, and compared them with lessons learned over the last thirty years. Understanding how this model impacts dynamics within schools and the community is crucial to identifying strategies that support effective governance and enhance educational outcomes for all involved. A qualitative, phenomenological study approach was used to research the role of the shared superintendent in rural Iowa. Participants were those who served as a shared superintendent between a minimum of two school districts within the state of Iowa and have held this position for at least …

Examining Patient Safety Culture Trends In U.S. Healthcare Through A Multi-Year Analysis, Hassan Alabdullah

Graduate Studies Theses and Dissertations 2026

Patient Safety Culture (PSC) is recognized as a cornerstone of healthcare quality and a key determinant of patient outcomes. Despite the Institute of Medicine’s early calls to establish safety-oriented systems, evidence on the long-term stability of PSC in U.S. hospitals has remained limited. This dissertation addresses this gap through a multi-year evaluation of PSC using the Hospital Survey on Patient Safety Culture (HSOPSC v1.0) and advanced statistical methods. Drawing on one of the largest national datasets—comprising over 993,000 healthcare providers from 1,601 U.S. hospitals across three survey cycles (2013–2020)—the study employed a longitudinal repeated cross-sectional design. Analyses combined descriptive statistics, …

Rhetoric Of Opportunity: An Analysis Of Gullah Geechee Histories Through The Lens Of Counterstory, Xaria Arthur

Graduate Studies Theses and Dissertations 2026

Counterstory as a method/ology has been used in a variety of disciplines to share experiences of individuals and communities whose voices have been historically silenced or suppressed. Utilizing this methodological framework, my study shares the stories of six Gullah Geechee descendants with ancestral roots in the unincorporated community of Nesmith in Williamsburg County, SC. Treating these minoritized and individual stories as experiential knowledge, I trace the counterstories as topoi to introduce and develop the theoretical concept that I call the rhetoric of opportunity, which refers to memories or stories that have come to motivate individuals toward or away from …

The Uncanny And Uneasy: An Exploration Into Using Puppets To Share Dark Stories, Grace Auls

Graduate Studies Theses and Dissertations 2026

In this thesis, I will explore the role of puppetry and practical effects in evoking the uncanny and the uneasy as well as questioning the implications they have in dark theater and cinematic contexts. This paper will examine how puppetry and practical effects can contribute to potentially disturbing and dark imagery both on screen and in live theater. I will be focusing on looking at Jim Henson’s The Dark Crystal, as well as at different puppetry performances used in Voyage of the Little Mermaid (1992), Don’t Hug Me I’m Scared, Kirikou and the Sorceress (Kirikou et la Sorciere), and even …

Restoring Digital Trust: Decentralized Frameworks For Identity, Consent, And Media Provenance, Raghu N. Avula

Graduate Studies Theses and Dissertations 2026

Digital platforms are deeply embedded in modern society through centralized network architectures. As online interactions transition to the physical world handling sensitive data, user privacy and cryptographic security require enhancement beyond traditional limits. This dissertation presents a decentralized “Tri-Layer Trust Architecture” that leverages Verifiable Trust Registries, Cryptographic Binding, and Edge Verification to prioritize data sovereignty and local authentication. To demonstrate the architecture’s applicability across distinct operational environments, we implement three solutions: (1) Verifiable Presence for peer-to-peer ride-sharing via D-RideX, which encrypts biometric data on physical hardware (TEEs) and Soulbound Tokens (SBTs) to prevent impersonation without cloud database exposure; (2) Verifiable …

Establishing And Testing Experiential Critical Theory (Ect), Dolores M. Batten Mrs.

Graduate Studies Theses and Dissertations 2026

There is a current gap in academia which has been largely overlooked in both pedagogy and assessment: the value of personal experience as key evidence of interpretation and meaning-making correlation. Aside from narrative writing, most current methods of literary analysis writing do not place a high value on personal experience beyond the inclusion of brief anecdotes. Yet experience is the major pathway by which an individual forms their worldview, which then informs the ways in which they interpret the world—and by extension, text. This dissertation both establishes and examines the use of Experiential Critical Theory (ECT) in pedagogical application for …

An Integrated Framework For Last-Mile Delivery Optimization Using Reinforcement Learning And Social Media-Based Traffic Prediction In Underdeveloped Megacities, Vasanth Bhat

Graduate Studies Theses and Dissertations 2026

Supply chain management has become increasingly critical as transportation costs rise and urban delivery systems place additional pressure on already congested networks. Last-mile delivery—the movement of goods from distribution centers to end users—represents the most expensive and operationally complex segment of the logistics process, particularly in underdeveloped megacities characterized by unpredictable traffic, limited infrastructure, and sparse real-time data. This dissertation proposes an integrated framework for optimizing last-mile delivery in such environments by combining social media–based traffic intelligence, machine learning, and deep reinforcement learning. The framework leverages unstructured, real-time data from social media platforms to enhance traffic prediction and incorporates these …

Investigation Of Exotic Phenomena In Topological Quantum Materials, Iftakhar Bin Elius

Graduate Studies Theses and Dissertations 2026

he First Quantum Revolution established quantum mechanics as the foundation of modern physics, enabling transformative technologies such as semiconductors, lasers, and transistors through prin-ciples of quantization, wave-particle duality, and uncertainty. The ongoing Second Quantum Rev-olution harnesses entanglement, superposition, and coherence to advance quantum computation, communication, simulation, and sensing. Central to this endeavor is the study of quantum mate-rials hosting novel electronic structures and emergent phases, including topological insulators and Dirac, Weyl, and nodal-line semimetals. In this thesis, using angle-resolved photoemission spec-troscopy (ARPES), transport measurements, and density functional theory (DFT) calculations, we investigate three classes of materials: (i) magnetic topological semimetals, …

Computational Modeling Of Bubble Dispersion In Alginate Hydrogel Foams For Radiologically Equivalent Biomedical Phantoms, Godson N. Brako

Graduate Studies Theses and Dissertations 2026

The foaming of hydrogels presents a promising strategy for tailoring mechanical and radiological properties to replicate biological soft tissues for biomedical phantoms. Achieving uniform and predictable void fraction distributions in alginate hydrogel foams remains a challenge due to the complex interplay between bubble dynamics, matrix rheology, and interfacial forces during the pre-gelation aeration stage. This thesis develops a Computational Fluid Dynamics framework using the transient Eulerian two-fluid approach to predict void fraction distribution in alginate hydrogel precursor solutions aerated by air injection through a bottom nozzle. The objective is to use the framework for design of the foaming system to …

Examining Team Leader Visual Dynamics And Team Performance In Pediatric Emergency Simulations, Annamarie Brosnihan

Graduate Studies Theses and Dissertations 2026

Pediatric medical emergencies are dynamic, high-intensity clinical situations that demand coordinated interdisciplinary actions for optimal patient outcomes. Effective teamwork and leadership are critical, especially during the preparatory phase. Here, team leaders define task goals, assign individual roles, and maintain situational awareness. This phase directs attention, organizes team dynamics, and ensures medical interventions are deployed properly. Medical simulations provide a unique opportunity to capture dynamic leadership behaviors in a controlled low-stakes environment using multimodal data, such as eye tracking, to gain insight into team leader cognitive processes (i.e., attention allocation and information processing). Prior research suggests that leaders who visually attend …