Digital Commons Network^™

Autism And Homelessness: An Intersectional Case Study In Kitchener-Waterloo, Ontario, Nicole J. Mcdonald

Theses and Dissertations (Comprehensive)

Homelessness is a growing crisis in Canada, with literature suggesting autistic traits as over-represented within this population. Literature addressing intersectional experiences of autism is emerging, however there are gaps in the research surrounding intersectional experiences of autism and homelessness. Research suggests that autistic individuals may be more vulnerable to experiencing homelessness and face difficulties in exiting homelessness. This qualitative case study utilizes a Disability Justice framework to explore intersectional autistic experiences of homelessness, social service usage, and suggests recommendations on improving support for autistic individuals at risk of and experiencing homelessness. Four autistic participants with experience of homelessness and accessing …

At A Crossroads: Crisis, Vulnerability, And The Possibility Of Transformation Of Nature-Based Tourism In Canada, Brooklyn Rushton

Theses and Dissertations (Comprehensive)

We live in an era shaped by a global polycrisis, where climate change, pandemics, economic shocks, geopolitical tensions, and social inequities are converging to create complex, cascading, and compounding risks. For Canada’s nature-based tourism sector, situated at the nexus of social and ecological systems, the polycrisis both amplifies the vulnerabilities of tourism and highlights tourism’s role in perpetuating global risks. Recognizing this duality, this dissertation examines how crises amplify systemic vulnerabilities while also acting as leverage points for transformative change in Canada’s nature-based tourism sector, drawing on geography, systems thinking, resilience theory, regenerative tourism, and futures thinking scholarship.

The three …

Exploring Leadership In A Changing Church, Tanya Varner

Theses and Dissertations (Comprehensive)

The present phenomenological study investigated the experience of leaders and leadership among active Lutheran clergy serving congregations in the Eastern Synod of the ELCIC in a time of change. Eleven rostered leaders of the Eastern Synod of the Evangelical Lutheran Church in Canada (ELCIC) were interviewed individually using a semi-structured interviews addressing leadership and changes in the church to facilitate the conversation. Participants also completed a participant questionnaire in advance of the semi-structured interview to make sure the sample was diverse in gender, years of ordination and geographical context of ministry. Participants were able to articulate what values and requirements …

Moral Identity And Cognitive Mechanisms In Moral Decision-Making, Zachariah I. Hamzagic

Theses and Dissertations (Comprehensive)

Moral identity can be broadly conceptualized as the degree to which an individual places moral values as directly relevant to their personal identity. A recently introduced developmental framework of moral identity argues that moral identity can be conceptualized as a lifelong goal. According to this theoretical framework, the moral identity goal (i.e., to be a moral person and engage in moral action) becomes stronger over the course of development by becoming more abstract (i.e., general), internalized (to satisfy personal ideals) and promotion (i.e., action) oriented. Additionally, the strength of the moral identity goal predicts moral functioning. To date there has …

Unveiling Othering Experiences In Multiethnic Families: Narratives Of Identity And Belonging Among White/Hispanoamerican Women, Maria-Esther Wood

Theses and Dissertations (Comprehensive)

This dissertation explores the lived experiences of multiethnic Hispanoamerican women as they navigate identity, belonging, and familial othering within the context of multiethnic family systems. Using qualitative narrative inquiry, the study centres the voices of nine women residing in Ontario, each with one white parent and one Hispanoamerican parent, ranging in age from 19 to 65. Guided by Dewey’s three-dimensional model of narrative analysis, the research explores how personal stories reflect broader patterns of othering and belonging, the central research question asks: What specific forms of othering related to identity and belonging—inclusive of discrimination and racist treatment—do multiethnic Hispanoamerican women …

A Contribution To Constructing A Theory And Model Of Social Work Leadership, Cheri Darlene Bilitz

Theses and Dissertations (Comprehensive)

Few schools of social work provide formal leadership education and training for emerging social workers—the research topic under exploration was how social work leaders constructed their leadership style. The purpose of the study was to develop a model of social work leadership through understanding leaders’ journeys into leadership and the contextual factors that shaped their leadership. Participants shared the qualities they believed were paramount for leading today and into the future. Seeing schools of social work as leadership incubators for emerging social workers, participants shared their suggestions for scaffolded leadership curriculum. The methodological approach for this research study was constructivist …

Taylorkan-Vit: Parameter-Efficient Vision Transformers For Medical Image Classification, Kaniz Fatema, Dr. Emad Mohammed, Dr. Sukhjit Singh Sehra

Theses and Dissertations (Comprehensive)

Effective and interpretable classification of medical images remains a critical challenge in computer-aided diagnosis, particularly in data-scarce and resource-constrained clinical settings where traditional deep learning models prove impractical. This study addresses the fundamental barrier to Vision Transformer adoption in medical imaging—massive parameter counts and data requirements—through a systematic two-phase methodology. Phase 1 evaluates three spline-based Kolmogorov–Arnold Network (KAN) variants to identify the optimal nonlinear approximation function for parameter-efficient medical image classification: SBTAYLOR-KAN (B-splines with Taylor series), SBRBF-KAN (B-splines with Radial Basis Functions), and SBWAVELET-KAN (B-splines with Morlet wavelets). Comprehensive experiments across brain MRI, chest X-rays, and tuberculosis datasets—without any image …

Cultivating Diversity In Sustainable Food Systems: Black Farming And Lived Experience In Rural Southern Ontario, Kadeem Jerofy Morgan-Adamson Mr.

Theses and Dissertations (Comprehensive)

This research examines the lived experiences of Black food growers in rural Southern Ontario to understand how their perspectives challenge dominant narratives of rurality and inform broader discussions on food sovereignty in Canada. Grounded in postcolonial theory, the study highlights how historical dispossession and persistent inequities shape the access of Black communities to land and resources. Using a mixed-methods approach that includes surveys, semi-structured interviews, and reflexive journaling within a community-based research framework, the study documents the barriers Black food growers face. These include limited land access, insufficient funding, inadequate training pathways, and experiences of racial isolation in rural contexts. …

Intelligent Electric Vehicle Routing For Goods Delivery Under Real-Time Traffic Conditions: A Comparative Framework For Modular Battery Swapping And Dynamic Wireless Charging, Ranjit Jakharabhai Odedra

Theses and Dissertations (Comprehensive)

Electric vehicles (EVs) are becoming central to sustainable and intelligent transportation systems, particularly in urban logistics, where reducing emissions, congestion, and operating inefficiencies is increasingly important. Despite their environmental advantages, the large-scale deployment of EVs in delivery operations remains constrained by limited driving range, time-consuming energy replenishment, and the difficulty of making routing decisions under dynamic traffic and load-dependent energy consumption. Addressing these challenges is essential for improving the practicality and reliability of EV-based freight transportation.

This thesis investigates optimization frameworks for EV routing in urban delivery systems by studying two complementary energy replenishment strategies: modular battery segment swapping and …

Youth Perspectives On Developing A Sustainable Food Future In Sambaa K’E Nwt., Danielle Elizabeth Bayne Ms

Theses and Dissertations (Comprehensive)

Food systems in Northern Indigenous communities are shaped by complex and interconnected social, environmental, economic, and political forces that determine how food is accessed, practiced, and governed. Indigenous food systems are deeply rooted in Land-based practices and relationships that support cultural continuity and intergenerational knowledge transfer. However, these systems have been profoundly disrupted by ongoing colonial structures that restrict access to and devalue Indigenous Knowledge and alter harvesting practices. Climate change further intensifies challenges related to traditional food access by altering wildlife behaviour, shifting seasonal patterns and reducing the safety and reliability of traditional harvesting territories. In response, many Northern …

“My Voice Is Trauma, My Voice Is Healing:” A Feminist, Trauma-Informed Embodied Study On The Impact Of Gender-Based Violence In Classical Music Communities, Sarah Pearson

Theses and Dissertations (Comprehensive)

This Social Work doctoral dissertation explores the impact of gender-based violence (GBV) in classical music communities on survivor-artists. This is an intersectional feminist, trauma-informed, embodied study that draws on these three theoretical concepts to conceive of classical music as an institution of both colonial patriarchal power and a site of spirituality and meaning-making. The issue of systemic GBV in the performing arts has been a focus of headline news and sensational celebrity stories in the last decade following the MeToo hashtag and is slowly gaining some attention in academic research.

For this qualitative study, the sample consisted of 14 participants …

An Examination Of Speech Motor Control And Auditory Processing In Attention Deficit Hyperactivity Disorder (Adhd), Rita Bishai

Theses and Dissertations (Comprehensive)

Fluent speech production is achieved through a relative weighting of feedback and feedforward motor control systems. These systems are thought to be responsible for the online correction of vocal errors and initiating speech, respectively. The relative weighting of these motor control systems has been shown to differ under conditions of high attentional load and across individual differences in sensory acuity. However, research has yet to examine speech motor control in a population with clinical attentional and sensory processing differences, such as those with Attention-Deficit Hyperactivity Disorder (ADHD). The studies in this thesis aimed to examine how ADHD traits relate to …

Exploring Religious-Spiritual Struggles Among Muslim Immigrants In The Canadian Context, Ayse Erenay

Theses and Dissertations (Comprehensive)

Migration to a new culture and adaptation to a different lifestyle may cause emotional and psychological stress. In some cases, immigrants may experience religious and/or spiritual (R/S) struggles due to challenges to their beliefs and practices in the country they have immigrated to. Based on Pargament (2007, 2013)’s R/S struggle framework, these struggles may include questions about the ultimate meaning of life, one’s relationship with God, or doubt about one’s belonging within a religious or spiritual community. Muslim immigrants face unique struggles since Islamic teachings require Muslims to visibly practice their faith and reflect on God’s presence as a central …

Is Prosocial Behavior A Unique Correlate Of Academic Success In Emerging Adulthood?, Jacqueline Di Biase

Theses and Dissertations (Comprehensive)

Prior developmental research has frequently linked prosocial behavior to stronger academic functioning during childhood and adolescence (Cruz et al., 2024; Gerbino et al., 2018; Oberle et al., 2022), yet its relevance to academic success in emerging adulthood remains unclear. Guided by a Positive Youth Development (PYD) framework, the present study sought to address gaps in emerging adulthood research by examining the academic relevance of prosocial behavior while accounting for influential developmental assets and testing its independent contribution to academic achievement. Undergraduate students (N = 501) completed a cross-sectional self-report survey assessing prosocial behavior, self-control, dutifulness, sociability, and cumulative grade …

Mixed Methods Insights Into Understandings Of And Stigma Towards Autism In Children And Young Adults, Natalia Gc Van Esch

Theses and Dissertations (Comprehensive)

BACKGROUND: Autism is widely stigmatized and misunderstood. Existing research using methods such as questionnaires finds that autistic individuals are often evaluated more negatively than their non-autistic counterparts. Unfortunately, this approach provides limited insight into the underlying representations of autism that individuals hold. The present study seeks to examine how children and adults define, describe, and represent autism, and how these representations relate to stigma. METHODS: In Part I, children participated in a semi-structured interview in which they defined autism and created autistic and non-autistic characters using a guided character-building task. Children then rated their characters on a series of social …

A Novel Federated Llm Framework For Distributed Traffic Modelling In Intelligent Transportation Systems, Seerat Kaur

Theses and Dissertations (Comprehensive)

Intelligent transportation systems (ITS) depend on accurate traffic prediction to support congestion management, infrastructure planning, and real-time operational decisions. Despite substantial progress in data-driven forecasting, several challenges continue to limit practical deployment: traffic data is distributed across independent regional authorities, making centralized aggregation infeasible, standard federated aggregation strategies ignore traffic-specific characteristics that meaningfully affect model quality, and existing models produce only numerical outputs without interpretable reasoning that urban planners can act upon. This thesis addresses these challenges through four contributions that collectively advance privacy-preserving, explainable, and scalable traffic forecasting.

The first contribution provides a systematic review of 129 peer-reviewed publications, …

Faculty Perceptions Of Engaging Generation Z Students Through Positive Education In The Classroom, Ashley D. Ragsdale

Electronic Theses and Dissertations

This qualitative study examined the engagement gap between Generation Z students and faculty in higher education, emphasizing how positive education approaches can help faculty become more confident and effective instructors. Generation Z students prefer instant internet access and digital learning, have shorter attention spans, and tend to be disengaged when instructors rely on traditional teaching methods. After the COVID-19 pandemic, this engagement gap became more evident. This basic qualitative study used semistructured interviews, reflexive journaling, and nonparticipatory observations. Participants included full-time health science faculty at a private university in central Texas. Each had at least 2 years of teaching experience …

The Classical Limit In Geometric Quantization By Group Extension, Paul Bracken

School of Mathematical & Statistical Sciences Faculty Publications

Physical systems as a rule are associated with a symmetry group. The group approach to geometric quantization makes use of this to introduce a quantization by means of group extension. This procedure is discussed and applied to a physical system whose group law has its origin with the Galilean group. The main intention is to investigate the classical limit and its relationship under this approach to geometric quantization. The classical quantization conditions are obtained based on a deeper foundation.

Strong Q-Analogues For Values Of The Dirichlet Beta Function, Ankush Goswami, Tim Huber

School of Mathematical & Statistical Sciences Faculty Publications

An infinite class of relations between modular forms is constructed that generalizes evaluations of the Dirichlet beta function at odd positive integers. The work is motivated by a base case appearing in Ramanujan’s Notebooks and a parallel construction for the Riemann zeta function. The identities are shown to be strong q-analogues by virtue of their reduction to the classical beta evaluations as 𝑞→1− and explicit evaluations at CM points for |𝑞|< 1. We also determine asymptotic formulas for the Fourier coefficients of the associated modular forms.

A Conceptual Framework For Cognitive Engagement And Human Agency In Ai-Mediated Learning, Sam Rhodes, Zuhal Yilmaz, Terrie Galanti, Younggon Bae, Victoria Delaney, Zareen Gul Aga, Stephen Hutt

School of Mathematical & Statistical Sciences Faculty Publications

The purpose of this chapter is to propose a conceptual framework that unpacks AI use in instructional practice across three interrelated dimensions: human agency, cognitive demand, and AI orchestration. We ground this work in historical perspectives on technology's mediating role in education. We then propose the conceptual framework and three characterizations of the use of AI in school instruction: cognitive load reducer, cognitive capacity builder, and cognitive companion. We then illustrate a worked example of each, including a curricular example and sample student prompts, and conclude with questions that educators might ask themselves as they consider if and how to …

Gain-Delay Decoupling In Human Stimulus Frequency Otoacoustic Emissions Reveals Constraints On Cochlear Nonlinear Amplification, Yoshita Sharma, Arturo Moleti, Renata Sisto, Teresa Botti, Hansapani Rodrigo, Sri Mishra

School of Mathematical & Statistical Sciences Faculty Publications

Purpose: The nonlinear cochlear amplifier, driven by outer hair cells, underlies the remarkable sensitivity and frequency selectivity of the mammalian auditory system. Stimulus frequency otoacoustic emissions (SFOAEs) provide a noninvasive window into these active cochlear processes, yet the relationship between emission gain and delay across stimulus levels remains incompletely understood. This study examined the level dependence of SFOAEs in normal-hearing human listeners to characterize cochlear nonlinear response properties. We tested how emission gain and delay vary with stimulus level and estimated the frequency of the apical–basal transition associated with the breakdown of the approximate local scaling symmetry.

Methods: SFOAEs were …

Performance Analysis And Optimization Of Fructose Memristor-Based Neuromorphic Systems, Harshvardhan Uppaluru, Shakil Mahmud Jiban, Shah Zayed Riam, Feng Zhao, Jinhui Wang

Electrical and Computer Engineering Faculty Research & Creative Works

Natural organic memristors have demonstrated promising synaptic behavior, positioning them as strong candidates for synaptic devices in neuromorphic systems. This paper presents the fabrication and evaluation of a neuromorphic system based on natural organic 16-level and 32-level fructose memristors. First, the manufacturing process of fructose memristors is described in detail. Second, the nonlinear property associated with fructose memristors is investigated, and an optimization method is applied to address the nonlinear effects. The performance of the fructose memristor-based neuromorphic system on MNIST with a multi-layer perceptron and on CIFAR-10 with VGG-8 is evaluated and reported under various conditions -with/without nonlinearity optimization …

Integrating Optical And Radiofrequency Interferometry For Enhanced Phase Sensing, Ruimin Jie, Zhaopeng Zhang, Chen Zhu, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

Interferometry is a crucial investigative technique used across diverse fields to achieve high-precision measurements. It works by analyzing the phase difference between two interfering waves, which results from variations in optical path lengths within an interferometer. We introduce a novel method for directly measuring changes in the phase difference within an optical interferometer, importantly, with the added advantage of a controllable enhancement factor. This approach is achieved through a two-step process: first, the optical phase difference is encoded into a sub-GHz radiofrequency (RF) signal using microwave-photonic manipulation; then, RF interferometry-assisted phase amplification is implemented at the destructive interference point. In …

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 …

Sapphire Optical Fiber Bragg Grating Sensors Based On Dispersive Microwave-Photonic Frequency-Time Domain Analysis, Ruimin Jie, Chen Zhu, Farhan Mumtaz, Koustav Dey, Bohong Zhang, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

Sapphire fiber Bragg gratings (SFBGs) have attracted growing interest for high temperature sensing in harsh environments, yet their interrogation typically relies on optical spectrum measurements, demanding a high-resolution optical spectrum analyzer (OSA) that is bulky, expensive, and constrained in acquisition speed. Moreover, the inherently multimode nature of sapphire fiber further complicates spectrum-based demodulation, thereby limiting the achievable sensing resolution. In this paper, we propose and experimentally demonstrate a microwave-photonic interrogation approach for SFBG sensors. Instead of measuring the optical reflection spectrum, the complex frequency response in the microwave domain of an SFBG is acquired using a vector network analyzer (VNA) …

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 …

Deep Learning Based High-Resolution Electromagnetic Inversion Imaging Using Deep Convolutional Double-Module Structure, He Ming Yao, Shiji Song, Lijun Jiang, Michael Ng

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a novel deep learning (DL) approach has been proposed to realize high-resolution electromagnetic (EM) inversion imaging. The newly proposed approach is based on the deep convolutional double-module structure (DCDMS), consisting of the pixel-interpolating module and the corresponding quality-improving module. While the pixel-interpolating module roughly increases the 'resolution' of the initial input, the following quality-improving module realizes quantitative EM imaging in high resolution. The input of the proposed DCDMS adopts the mixed input scheme, consisting of the received EM scattered field and the initial reconstruction in much low resolution computed from Gauss-Newton method. The output of the proposed …

Lidar-Based Framework For Detecting Suspicious Human Activities, Ahd Aljumah, Charalampos Antoniadis, Hakim Ghazzai, Nawfal Guefrachi, Ahmad Alsharoa, Gianluca Setti

Electrical and Computer Engineering Faculty Research & Creative Works

This study explores the development of Human Activity Recognition (HAR) systems capable of identifying suspicious activities to enhance security in public spaces. We propose an innovative solution that integrates LiDAR sensors with deep learning technologies. Our method employs advanced models operating on LiDAR point cloud, PV-RCNN for human detection, and LidarGait++ for classifying activities into categories such as standing or walking (non-suspicious) and sneaking or fighting (suspicious). Due to the scarcity of suitable real-world datasets for training such systems, we utilize a 3D simulation tool, Blender, to create realistic environments and generate labeled point cloud data. This synthetic dataset allows …

Deep Learning Approach For Microwave Imaging Based On Deep Convolutional Asymmetric Encoder-Decoder Structure And Physics-Induced Loss, He Ming Yao, Shiji Song, Michael Kwok Po Ng, Lijun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, we introduce an innovative deep learning (DL) methodology designed for real-time quantitative microwave imaging (MWI). Our approach is centered around the utilization of a deep convolutional asymmetric encoder-decoder structure (DCAEDS), which requires only a single-frequency far-field measurement of the electromagnetic (EM) scattered field as input and subsequently predicts the contrasts (permittivities) of the target materials. During the offline training process, we incorporate an EM forward solver specifically crafted to compute the EM scattered field generated by the predicted target contrasts (permittivities) produced by the DCAEDS. The DCAEDS is seamlessly integrated with this EM forward solver to optimize …