Digital Commons Network^™

Combined Effects Of Space-Relevant Thermal & Radiation Stress On Wide-Gap Mixed-Halide Perovskite Solar Cells, Veran Stanek

Theses

Mixed-halide wide-band gap perovskites are attractive for space power due to their high open-circuit voltages and compatibility with tandem device architectures, but their response to combined orbital stressors remains under-explored. Here, we study 1.86 eV band gap all-inorganic CsPbI2Br solar cells across a space-relevant thermal window of -80°C to +100°C before and after 1.0 M eV proton irradiation. n-i-p devices exhibit notable radiation tolerance retaining approximately 60% of initial power conversion efficiency (PCE) upon irradiation with a fluence of 5 × 10^13 cm^−2. Temperature-dependent hyperspectral photoluminescence imaging and spectroscopy uncover a reversible low-temperature emissive heterogeneity in the perovskite absorber, manifested …

Multi-Omic Analysis Of Molecular Changes In Haloferax Volcanii Biofilm Development, Joshua Koller

Theses

Biofilms are the predominant lifestyle of microorganisms and offer protection against environmental stress. Archaeal biofilm development remains poorly understood relative to its bacterial counterpart, and the fundamental differences between these two domains prevent direct extrapolation from bacterial models. To address this gap, we used quantitative proteomics and transcriptomics to characterize the molecular changes accompanying biofilm formation and maturation in the model archaeon Haloferax volcanii. Protein and transcript abundance were measured across seven conditions spanning both lifestyles and multiple timepoints, with glycosylated proteoforms quantified as entities distinct from their unmodified counterparts, covering both established biofilm-associated structures and newly identified candidates. Known …

Personalization And Generalization In Machine Learning For Affective Ai, Rajesh Titung

Theses

Human emotional communication involves subtle, low-intensity, and context-dependent expressions influenced by sociocultural and interpersonal factors. Their inherent ambiguity and variability create heterogeneous data distributions, making affective phenomena difficult to model in naturalistic settings where expressions differ from exaggerated affect behaviors in acted environments. Affective AI faces the fundamental challenge of balancing personalization, which captures individual nuances, with generalization, which ensures robustness of affective AI systems across individuals. Traditional centralized models emphasizing generalization often fail to capture fine-grained expressive heterogeneity, while fully personalized models improve system performance for individuals but lack transferability and robustness. The central task is thus to develop …

Uvm Verification Of A 4-Stage Asynchronous Risc-V Processor, Yashaswini Suresha

Theses

Functional verification often takes more effort than designing the system itself, especially when the design departs from the synchronous, globally clocked style that verification tools assume. Asynchronous or clockless circuits are an example of this. They use local request and acknowledge handshaking instead of a global clock, which reduces dynamic power and eliminates clock-distribution and skew problems. However, this also means that standard verification methods that rely on a single periodic clock no longer apply. This thesis introduces a constrained-random, coverage-driven verification environment for a four-stage asynchronous RISC-V processor. The environment is built in SystemVerilog using the Universal Verification Methodology …

Predicting Rental Prices For Dubai Properties, Abdulrahman Mohammad Arab

Theses

This study explores the application of machine learning models to predict rental prices in the dynamic real estate market of Dubai. With increasing demand for data-driven valuation tools, accurate rental price estimation has become essential for tenants, landlords, investors, and property consultants. The research is grounded in the theory of supervised machine learning, focusing on the use of structured property features—such as location, size, furnishing status, and number of rooms—to forecast monthly rent values. The study employed the “Dubai Real Estate Goldmine, UAE Rental Market Data” from Kaggle as its primary dataset. This data, which reflects thousands of residential listings …

Enhancing Net-Zero Strategies At Rit Dubai Campus Through Life Cycle Assessment, Razan Ali

Theses

Net-zero commitments are pushing higher education institutions to measure their environmental impact more rigorously. RIT Dubai has aligned its sustainability targets with the UAE Net Zero 2050 initiative, and earlier greenhouse gas reporting identified commuting and electricity as the campus’s dominant emission sources, with transportation modelled only from city-level estimates. This thesis develops an individual-level, use-phase Life Cycle Assessment of transportation at RIT Dubai across the entire campus community of 2,795 members in seven segments: local and international students, faculty and staff, and the contracted service staff who travel to campus daily. A transportation Life Cycle Inventory was built from …

A Best-Practice And Risk-Assessment Framework For Auditable Ai Integration In Uae Government Socs, Nasser Hassan Nasser Abdulrazaq Alrazooqi

Theses

The growing use of artificial intelligence and generative AI in security operations centres  have the ability to improve alert triage, investigation, threat-intelligence enrichment,  and incident response. It also introduces governance risks including explainability, data  leakage, prompt injection, model lifecycle management, human oversight, and the  traceability of AI-assisted decisions. This study has developed a best-practice and risk assessment framework for the auditable integration of AI in UAE’s governmental SOCs.  The research follows a qualitative and practitioner-informed documentary analysis.  Publicly available UAE cybersecurity policies, internationally recognised NIST and  ISO/IEC standards, academic literature, industry guidance and compliance  publications were reviewed. Moreover, they were …

Capital Cities: The Intersection Of Power And Protest Urban Planning And Civic Design In Brasília And Washington, D.C., Noah Benjamin Gill

Theses

The physical environments of capital cities play a critical role in shaping how citizens interact with governmental power, particularly during moments of political unrest, protest, and democratic conflict. As both symbolic representations of national identity and functional centers of government, these urban landscapes influence how citizens approach, occupy, and confront civic institutions through their planning, architectural form, circulation networks, and spatial organization. Government buildings, public plazas, monumental landscapes, and civic axes do more than provide settings for political activity; they actively shape patterns of movement, visibility, accessibility, and control. The design of these spaces influences not only how democratic institutions …

What’S Kept, Caitlin Smith

Theses

This thesis examines the collective psychological aftermath of de-industrialization in a rust belt city, processed through perspectives of nostalgia and betrayal. By reframing childhood memories of instability and inherited narratives, a framework is established for investigating the modalities through which love and attachment may obscure entangled harm, and how grief operates across both collective and personal registers. Found objects are situated as sites of projection where memories are abstracted and reconstituted. The processes of decay and weathering serve as analogues for psychological trauma, reframing deterioration as an inevitable and generative condition. Natural elements act as metaphors for neutrality, challenging imposed …

Framework For Building A Social Media Marketing Strategy For Micro-Small Businesses, Joanna Byrne

Theses

Existing social media marketing literature consistently fails micro-small businesses with five or fewer staff. These sources default to models built for brands with dedicated marketing teams and large budgets. This project addresses that gap using a mixed-methods, practitioner-based action research design. It combines quantitative platform analytics with qualitative process documentation. The research covers four businesses at distinct stages of digital development: Torched Motorsport Supply, a new automotive parts retailer built from zero digital infrastructure; Byrne Diesel Performance, an established diesel shop with an unoptimized presence; Texas Best Compost, a startup developing its brand identity and digital launch disrupted by supply …

Beyond Affection Meters: A Framework For Relationship Repair Mechanics And Meaningful Play, Christopher B. Del Gesso

Theses

This thesis develops and tests a repair-centered framework for relationship mechanics in narrative games, positioned as an alternative to the affection-meter model that reduces relationships to a single accumulating score. Drawing on eudaimonic media research, relational repair theory, and interpretive-attribution research, the framework argues that meaningful relationship play depends on tracking multiple, potentially divergent relational dimensions; distinguishing repair attempts from repair outcomes; modeling interpretation of player actions rather than fixed action-to-effect mappings; and treating stable, non-restorative endings as legitimate outcomes rather than failure states. A comparative survey of five commercial games, Fallout 4, Tell Me Why, Life is Strange Remastered, …

Seeing Power: Authority, Gender, And Spectatorship In Charles I And Henrietta Marie With Their Two Eldest Children, Prince Charles And Princess Mary (1632), Danielle Scaramuzzi

Theses

The visual construction, enactment, and legitimization of political authority is the subject of this thesis concerning Charles I and Henrietta Maria with their two eldest children, Prince Charles and Princess Mary (1632), painted by Anthony Van Dyck. Through examination of sovereign representation, gendered body, dynastic continuity, and spectators, this research argues that authority within Northern Baroque portraiture is not established as a single or unchanging entity. However, instead of a monolithic representation of authority, it arises from relational elements, including body language, gesture, space, family relations, and viewer engagement. Although Van Dyck's portrait is generally considered a dynastic image in …

Ethical Visual Truth: An Analysis On Vietnam War Photojournalism, Anna Lauryn Carmichael

Theses

This thesis examines the ethical dimensions of Vietnam War photojournalism through close analysis of four iconic photographs: Nick Ut's The Terror of War (Napalm Girl) , Eddie Adams's Saigon Execution , Catherine Leroy's Vietnam, February 1967 , and Gilles Caron's Untitled (Who's the Enemy Here?) . Rather than treating these images as transparent documentation, this thesis argues that Vietnam War photojournalism functioned as a contested medium of narrative construction, one whose most celebrated images achieved iconic status by conforming to Western visual conventions and institutional demands, rather than by capturing some unmediated truth. Drawing on the interconnected frameworks of visual …

Spikerff: Learning Forward With Layer-Local Plasticity And Semi-Hard Negatives, Karthik Tumkur Kumar

Theses

Effective contrastive learning relies on choosing useful, informative "hard" negative samples. Current hard negative sampling methods designed for traditional artificial neural networks (ANNs) are, in general, computationally costly and are ill-suited to account for the temporal structure relevant to neuromorphic data. To tackle these issues, in this work, we formulate a similarity-guided semi-hard negative sampling strategy for neuromorphic computing based on spiking neural networks (SNNs). We propose SpikeRFF (Spiking Recurrent Forward-Forward), a gradient-free and unsupervised recurrent spiking framework that combines layer-local Forward-Forward learning with semi-hard negative selection and temporally structured negative construction. Positive samples are encouraged to produce high goodness, …

Integrated Sources Of Photon-Pairs For Quantum Networking, Vijay Soorya Shunmuga Sundaram

Theses

Quantum networking enables the distribution of quantum information across distant nodes, unlocking capabilities such as secure communication, distributed quantum computing, enhanced metrology, and tests of fundamental physics. Photons serve as the natural carriers of quantum information over long distances due to their low loss in optical fibers and robustness to environmental decoherence. However, the practical realization of quantum networks remains limited by the lack of photon sources that are simultaneously compatible with diverse quantum systems, stable over long timescales, and suitable for deployment in real-world fiber infrastructure.  This dissertation addresses these challenges through the co-development of photon-pair sources and a …

Topological Tools For The Analysis Of Complex Networks And Higher-Order Networks, Jason P. Laruez

Theses

This dissertation investigates the intersection of topological data analysis and network science, applying and extending persistent homology, Betti numbers, and simpliciality measures to study temporal, evolving, and coevolving networked systems. We introduce a multi-layer zigzag persistent homology framework for analyzing temporal hypergraphs across multiple timescales simultaneously, and validate it on the DARPA Operationally Transparent Cyber dataset, where it produces topological signatures that distinguish malicious from benign network activity by source IP. We then apply topological tools to classical generative network models and their hypergraph extensions, characterizing how Betti numbers, filling efficiencies, and simpliciality measures evolve as these models grow or …

Lubricating Abilities Of Choline Amino Acid Protic Ionic Liquids Under High Temperature And Electrified Conditions, Esmond Lau

Theses

This work explores the tribological properties of choline amino acid protic ionic liquids (PILs) as environmentally friendly lubricants under high temperatures and electrified conditions. These conditions are found in the automotive sector, notably in internal combustion engine vehicles (ICEVs) and electric vehicles (EVs). Lubrication technologies are vital to improving the efficiency and operating lifetime of moving components in automotive drivetrains. The use of ionic liquids (ILs) is actively being researched, with ongoing exploration of their lubricating potential and unique physicochemical characteristics. Compared to traditional petroleum-based lubricants, ILs’ ability to thrive in these conditions will offer substantial benefits, immediately extend operational …

Advanced Mathematical Modeling And Data-Driven Techniques For The Diagnosis Of Diabetes Using Continuous Glucose Monitoring (Cgm) Data, Farah Morsi

Theses

Diabetes mellitus is a major and growing health challenge, particularly in the Middle East and North Africa (MENA) region. Continuous Glucose Monitoring (CGM) provides high-resolution time-series data that capture detailed glucose fluctuations over time. However, conventional CGM summary measures, such as mean glucose, standard deviation, and time-in-range, may not fully describe the nonlinear temporal structure of glucose dynamics.

This thesis investigates nonlinear dynamical approaches for analyzing CGM time series, with a focus on recurrence-based analysis and ordinal-network analysis. Recurrence-based methods, including recurrence quantification analysis (RQA), are used to characterize geometric and temporal patterns in reconstructed phase space, while ordinal networks …

On The Fractional Laplacian Type Operator, Maysam Abdulnaser Zain

Theses

In this thesis, we study analytical structures arising from Dunkl theory and their

applications to harmonic analysis and fractional Laplacian operators. Dunkl operators are differential–difference operators associated with finite reflection groups, providing a natural generalization of the classical Fourier analysis through the introduction of root systems and multiplicity functions. Within this framework, several classical transforms appear as special cases of the (k,a)-generalized Fourier transform. We study the generalized Fourier transform ��ₖ,ₐ, its kernel B_k,a (x,y), and the associated translation operator and convolution structures. Using these tools, we construct the corresponding heat …

Effects Of Led Light Spectra And 1-Mcp On Postharvest Quality And Bioactive Compounds Of Cucumber (Cucumis Sativus L.) During Cold Storage, Imad Eldin Abbas Yousif

Theses

Extending postharvest quality and maintaining the nutritional value of cucumber fruit requires specific storage conditions to postpone senescence and enhance marketability. The postharvest lighting environment is a main factor that influences quality preservation for harvested biomass. The objective of this study was to investigate the effects of different light emitting diodes (LED) spectra (green, red, blue, and white LED) alone or in combination with 1-Methylcyclopropene (1-MCP) on postharvest quality and bioactive compounds of cucumber fruit during cold storage for 16 days at 5°C, the control fruit were left in the dark. For combined treatment, the fruits were exposed to 1-MCP …

Gender Relations Within 18th And 19th Century Art And How It Affects A 21st Century Learner, Sophie Lima

Theses

This study constructs a curriculum unit comprising five lessons in feminist art history for middle school learners in 5th-8th grade. Drawing on theories and concepts from feminist art history, visual culture, and inquiry in art education, this curriculum aims to address the scarcity of age-appropriate materials in feminist art history. There is a need for curricular materials that help learners critically analyze issues of gender, identity, and power conveyed through visual culture. The curriculum encourages middle-grade students to engage with three approaches to art analysis: formalism, iconography, and feminism. The organized unit focuses on inquiry, interpretation, comparison, production, and evaluation. …

Autonomous Exploration Of An Environment With Static Obstacles Using A Ppo Agent, Brandon Knight

Theses

Research in autonomous exploration has created many effective algorithms that have been tested and proven to work in many different virtual and physical environments. Many optimizations have also been developed to reduce computational effort and increase exploration speed.

However, despite optimizations, these algorithms can still require considerable computational effort and time to explore even small environments. To obtain further improvements in computation and exploration speed, a reinforcement learning agent using actor-critic style proximal policy optimization (PPO) is trained to explore various environments efficiently, then compared to an algorithm using contemporary exploration methods.

Testing is performed in virtual environments with ideal …

Retinomorphic Mid-Wave Infrared In-Sensor Processing Engine: Device-To-Architecture Co-Design, Hemalatha Nagaraju

Theses

Conventional frame-based CMOS image sensors acquire full-frame pixel data at discrete time intervals, resulting in substantial spatial redundancy and loss of temporal information between frames. The repeated conversion and transfer of redundant pixel data increases bandwidth and power consumption in machine vision systems. Retinomorphic sensing architectures address these limitations by enabling programmable, analog-domain processing directly at the sensor interface. A compact behavioral model of the PbSe device is developed in HSPICE based on calibrated TCAD simulation data to capture gate-controlled photocurrent modulation under varying illumination and gate bias conditions. Error analysis is performed to quantify the deviation between TCAD-generated photocurrent …

Context-Aware Vulnerability Scoring For Dubai Immigration Systems: Enhancing Cvss With Exposure And Asset Risk Factors, Saeed Adnan Saeed Alkhatibi Alsuwaidi

Theses

This paper explores the drawbacks of Common Vulnerability Scoring System (CVSS) usage in case of mission critical government infrastructures with special attention to Dubai Immigration systems. Even though the widely used tool against evaluating the severity of technical vulnerability is the CVSS, it fails to consider the organisational factors like the exposure of the asset, the criticality of the system, the number of users and the sensitivity of data. Such contextual blindness may contribute to prioritisation being off-kilter and ineffective resource assignment in high-risk and highly sensitive settings. The researchers systematically analyse the potential to incorporate contextual features in CVSS …

Smartdesk: Automatic Ticket Classification And Resolution Prediction Using Data Analytics, Dananir Almheiri

Theses

Public and service-oriented organizations increasingly rely on digital ticketing systems to man- age large volumes of citizen and customer requests. Despite this, many ticket management processes remain partially manual, leading to delays in case routing, inefficient resource al- location, and inconsistent resolution times. These challenges can negatively impact service quality, operational efficiency, and user satisfaction, particularly in large-scale public sector environments. This study proposes SmartDesk, a data-driven framework for automatic ticket classification and resolution time prediction using data analytics and natural language process- ing (NLP) techniques. The research leverages publicly available helpdesk and service ticket datasets to simulate real-world service …

Toward Autonomous Wireless Networks: Spatio-Temporal Prediction Via Physics-Aware Generative Ai Models, Rahul Gulia

Theses

The realization of fully autonomous Industry 4.0 environments depends on wireless networks that are not merely connected, but predictively aware—capable of anticipating channel degradation before it disrupts mission-critical operations. In dynamic industrial environments such as automated warehouses, radio frequency propagation is governed by dense metallic infrastructure, continuously moving obstacles, and frequent line-of-sight to non-line-of-sight transitions that render the channel non-stationary and spatiotemporally complex. Conventional approaches face a fundamental dichotomy: deterministic simulators such as ray-tracing and NS-3 achieve high physical fidelity but require up to 38 hours to generate a single high-resolution SINR heatmap, making real-time adaptation computationally infeasible; empirical and …

Redefining Capital Cities: A Smart Growth Evaluation Of Capital Cities And How Albany Can Learn From Them, Richard Turoski Iii

Theses

Mid-sized American capital cities face distinct development challenges determined by historical growth patterns, economic restructuring, and evolving urban priorities. This study examines Albany, New York, through the lens of Smart Growth, a planning framework that emphasizes compact development, mixed land use, multimodal transportation, and reinvestment in existing urban areas. Using comparative policy analysis, Albany is evaluated alongside Columbus, Ohio; Hartford, Connecticut; and Harrisburg, Pennsylvania, enabling consistent cross-case comparison based on similar roles as state capitals and overlapping comprehensive planning timelines. The research studies Smart Growth principles by structured policy analysis centered on downtown revitalization, mixed-use development, transportation connectivity, waterfront redevelopment, …

A Comparative Static Analysis Of Identifier Clones And Homonyms In Open Source Projects, Jose Palomino Lau

Theses

Identifier naming is a core element of software engineering and program comprehension. While existing literature suggests that naming consistency is ideal, there is limited empirical data on identifier homonyms, instances where the same name is used for different behaviors. This thesis investigates these naming patterns through a manual analysis inspired by grounded theory, supported by static analysis with srcML across three open source projects in Java, C and Python. By establishing a behavioral framework through axial coding, this research classifies 771 identifiers into functional categories to document their presence and role within the code. The results reveal that naming redundancy …

Unfixed Bodies, Soph Shufelt

Theses

This thesis emerges from that tension between protest and living.  It considers what it means to have one’s existence continually framed as resistance, and how that condition reshapes embodiment, temporality, and identity.  By situating my lived experience within broader social and political structures, I examine how bodily autonomy functions not only as a personal necessity, but as a regulated site of power.  The work that follows investigates how queer and transgender bodies navigate visibility and risk, how time is warped through prolonged struggle, and how survival becomes a form of authorship.

What’S In It For Us?, Hannah Giancola

Theses

What’s in it for us? examines how value can be created, abstracted, and redefined through material practice, participation, and shared experience. Situated in the space between maker and mender, the artist works in the symbiotic relationship between creation and repair. Wood is the primary material of creation, often in its imperfect form. It becomes both medium and metaphor representing intrinsic value while helping to challenge the systems that’s equate value with market and currency. From a multidisciplinary approach and adaptive nature, the work pulls from personal history, interfaith upbringing, and influences from conceptual art to traditional craft. This thesis transitions …