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Exergy Analyses Of Potential Clean Hydrogen Technologies In The Uae, Gaurav Cjk Kewalramani Jul 2026

Exergy Analyses Of Potential Clean Hydrogen Technologies In The Uae, Gaurav Cjk Kewalramani

Theses

This thesis evaluates clean hydrogen production pathways suitable for the United Arab Emirates by  integrating nuclear, solar, and wind energy with proton exchange membrane electrolysis (PEM), anion  exchange membrane electrolysis with a liquid alkaline separator (AEM), and alkaline water electrolysis  (AWE). A literature review was first conducted to compare hydrogen production technologies based on  efficiency, cost, scalability, environmental performance, and compatibility with UAE energy resources.  Energy and exergy models were then developed for the APR1400 steam Rankine cycle, the Mohammed bin  Rashid Al Maktoum Solar Park, the Sir Bani Yas wind farm, and the three electrolysis technologies.  The APR1400 Rankine-cycle …

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Modernizing Civic Building Design For Emergency Shelter Operations: An Architectural Framework With Proposed Design Guidelines For 21st-Century Shelter Readiness, Enrique M. Peralta Jul 2026

Modernizing Civic Building Design For Emergency Shelter Operations: An Architectural Framework With Proposed Design Guidelines For 21st-Century Shelter Readiness, Enrique M. Peralta

Theses

The frequency and severity of climate-related disasters are rising globally, resulting in the displacement of millions of individuals each year. Although this is a worldwide issue, the present research concentrates on the New York, New Jersey, and Connecticut tri-state region, where severe storms, flooding, prolonged power outages, and other natural hazards frequently necessitate the activation of emergency shelters. While schools, community centers, and other civic buildings are commonly designated for emergency shelter operations, these facilities were not originally designed to accommodate displaced groups during such events. This study focuses on the immediate sheltering period following a disaster, defined as the …

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Meridian, Rachel Seaton Jul 2026

Meridian, Rachel Seaton

Theses

Meridian is an ambient tabletop object that translates physiological data into a continuously evolving visual landscape. Rather than presenting emotional information through charts or notifications, it exists as a quiet environmental presence that can be understood through peripheral awareness. A simulated biometric system drives a particle field whose movement reflects physiological variation, producing eight distinct visual signatures. The visual system is governed by four parameters: field density, field disturbance, signal trace, and signal duration, which together shape the behavior and persistence of the particle field. The teardrop form was selected for its ability to convey both the passage of time …

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Towards Reliable Large Language Models For Cyber Threat Intelligence, Md Tanvirul Alam Jul 2026

Towards Reliable Large Language Models For Cyber Threat Intelligence, Md Tanvirul Alam

Theses

Cyber Threat Intelligence (CTI) helps security analysts respond to evolving threats, but the evidence it draws on is often scattered across noisy reports, advisories, and threat descriptions. Large language models (LLMs) provide a flexible interface for security analysis, yet reliable use requires grounding their outputs in source evidence, domain schemas, and CTI standards. We address this problem through structured threat representation, task-specific evaluation, and verifier-guided post-training. First, we study how unstructured CTI reports can be converted into structured threat knowledge. We develop an ontology-guided extraction framework that normalizes attack patterns, extracts typed entities and relations, and constructs a threat intelligence …

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Assessing The Imprint Of Eccentricity In Gravitational-Wave Signatures, Natalie Malagon Jul 2026

Assessing The Imprint Of Eccentricity In Gravitational-Wave Signatures, Natalie Malagon

Theses

The gravitational wave signal from merging compact binaries encodes information about their orbital and intrinsic properties. Over the last few years, state-of-the-art waveform models have begun to incorporate the effects of orbital eccentricity into their estimated signal. Over a similar period, many groups have applied these waveforms to characterize whether the imprint of eccentricity is present and, if so, measure this time-evolving property (at a suitably-defined reference point). In this work, we present a comprehensive analysis of 173 confident sources identified in the O1 through O4a observing runs of the International Gravitational Wave Network (LIGO-Virgo-KAGRA). Using the RIFT parameter inference …

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Learning-Based Multi-Objective Operation Of Microgrid With Renewable Uncertainty And Demand-Side Management, Zeina Bahij Jul 2026

Learning-Based Multi-Objective Operation Of Microgrid With Renewable Uncertainty And Demand-Side Management, Zeina Bahij

Theses

A microgrid is a small-scale power grid that can operate in either the grid-connected mode or the islanded mode. It consists of energy generation and storage devices for both power and thermal demands, where the thermal energy from the exhaust heat that cannot be transmitted over long distances can be utilized locally. The supply side may include dispatchable generation units with adjustable outputs and energy storage, alongside non-dispatchable renewables that depend entirely on resource availability. On the demand side, thermal loads are satisfied through waste heat recovery from exhaust gas (to maximize overall system efficiency) and direct fuel combustion. Electrical …

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Rooted Worlds, Eli Groborchik Jul 2026

Rooted Worlds, Eli Groborchik

Theses

Plant Awareness Disparity (PAD) describes a widespread cognitive bias where plant life is systematically overlooked in favor of its animal counterparts. This disconnect is acutely visible in natural history museums where plant life is notoriously difficult to display. Rooted Worlds is an interactive, physical-digital installation designed to combat this bias by bridging the emotional and educational gap between audiences and Earth’s diverse ecosystems. Rejecting traditional flat screens and passive dioramas, the exhibit utilizes a fourteen-foot, 270-degree cylindrical projection screen to immerse visitors in six distinct, digitally rendered global biomes, creating a restorative and engaging space that leverages Attention Restoration Theory …

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Analysis Of The Formation And Structure Of Protective Films In Sustainable Ionic Liquid Lubricants, Brendan Mahoney Jun 2026

Analysis Of The Formation And Structure Of Protective Films In Sustainable Ionic Liquid Lubricants, Brendan Mahoney

Theses

Friction losses and wear of sliding components account for nearly one quarter of global energy consumption. Developing new lubricants to reduce these losses is essential for a more cost-effective and sustainable future. The automotive industry offers the greatest economic potential for new tribological discoveries, as it affects billions of people around the world. A significant portion of the friction losses in automobiles are due to the reciprocating motion in the engine, which leads to metal-on-metal contact. Ionic liquids have emerged as novel lubricants and additives due to their ability to form protective surface layers on metals, reducing friction and wear. …

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Integrated Sources Of Photon-Pairs For Quantum Networking, Vijay Soorya Shunmuga Sundaram Jun 2026

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 …

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Development Of Blue And Near-Uv Iii-Nitride Laser Diodes, Matthew Seitz Jun 2026

Development Of Blue And Near-Uv Iii-Nitride Laser Diodes, Matthew Seitz

Theses

III-Nitrides show tremendous promise for a wide range of laser diodes and other optoelectronics devices. The wide range of emission wavelengths possible makes these devices ideal candidates for a wide range of applications. Despite this, several challenges remain unsolved, limiting the efficiency and output power from III-Nitride optoelectronics. Three of the most significant remaining challenges surround the formation of low resistance ohmic electrical contacts, poor p-type doping of III-Nitride crystals as well, and the fabrication of the smooth, mirror facets needed for optical feedback and laser operation. Inefficient dopant activation leads to poor conductivity and increased electrical resistance due to …

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Lubricating Abilities Of Choline Amino Acid Protic Ionic Liquids Under High Temperature And Electrified Conditions, Esmond Lau Jun 2026

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 …

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Towards Efficient Continual Deep Learning, Md Yousuf Harun Jun 2026

Towards Efficient Continual Deep Learning, Md Yousuf Harun

Theses

Modern AI systems can achieve remarkable performance on tasks such as image recognition, object detection, and language understanding, but they often struggle with a basic ability that humans rely on every day: learning continuously. When deep neural networks (DNNs) are updated with new information, they can unexpectedly forget what they previously learned, making them difficult to deploy in changing real-world environments. This dissertation explores how to build AI systems that can learn more like humans: adapting to new data, preserving past knowledge, and using prior experience to learn future tasks more efficiently. Rather than focusing only on preventing forgetting, this …

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Reinforcement Learning-Enabled Resource Allocation For Distributed And Uncoordinated Cognitive Radio Networks, Ankita Vijay Tondwalkar Jun 2026

Reinforcement Learning-Enabled Resource Allocation For Distributed And Uncoordinated Cognitive Radio Networks, Ankita Vijay Tondwalkar

Theses

To keep up with the ever-increasing performance demand from wireless applications, wireless networks necessitate to operate following an efficient use of the available radio spectrum. Since the radio spectrum is a limited resource, the increasing demand for wireless services and applications to support a wide spectrum of users is a challenge in itself and therefore requires advanced techniques to manage and utilize radio resources efficiently. Dynamic spectrum access (DSA) and sharing play a crucial role in improving the utilization of the radio spectrum, as it departs from the traditional approach of static radio spectrum band allocation which usually leads to …

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Assistive Active Safety, Long Nguyen Jun 2026

Assistive Active Safety, Long Nguyen

Theses

As electric bicycles become faster and more prevalent in urban environments, the safety systems designed to protect riders face significant challenges. The current industry standard relies heavily on auditory warnings—which can exclude Deaf and Hard of Hearing (HOH) cyclists—and digital dashboards that often demand intense visual focus. Forcing a rider to process cluttered screen data while navigating high-speed traffic can contribute to cognitive overload and physical danger. This thesis explores how micro-mobility safety might be improved by shifting away from auditory-dependent alerts toward intuitive, multi-sensory communication. To address this safety gap, this project introduces the Assistive Active Safety (AAS) framework. …

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A Reproducible Hdr-Native Psychophysics Infrastructure For Color Science Research, Fernando Voltolini De Azambuja Jun 2026

A Reproducible Hdr-Native Psychophysics Infrastructure For Color Science Research, Fernando Voltolini De Azambuja

Theses

Color science psychophysics measures the human visual system by relating controlled visual stimuli to observer responses, often through forced-choice paradigms such as two-alternative forced choice (2AFC) (Kingdom and Prins 2016). These studies require stimuli specified in physically meaningful units, technically correct display emission, and reproducible execution (Fairchild 2013; Lin et al. 2023). In practice, graduate-level experiments often rely on bespoke MATLAB or Python scripts, standard dynamic range (SDR)-first toolchains such as Psychtoolbox and PsychoPy, manual stimulus duplication, and incomplete capture of calibration, colorimetric state, and display capability (Brainard 1997; Peirce et al. 2019). These limitations increase experimental friction and create …

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Impact Of Package Dimension Changes On The Consumer’S Perception Of Ready-To-Eat Meal Serving Size, Greg Roskos, Koushik Saha May 2026

Impact Of Package Dimension Changes On The Consumer’S Perception Of Ready-To-Eat Meal Serving Size, Greg Roskos, Koushik Saha

Journal of Applied Packaging Research

Consumers increasingly scrutinize changes in food packaging, particularly in the context of “shrinkflation,” yet little empirical work has examined whether small dimensional changes in primary packaging affect perceived value when product weight is held constant. This study investigates the impact of minor tray dimension changes on consumers’ perception of serving size and product quality for ready-to-eat (RTE) frozen meals. Three single-compartment tray formats were evaluated: a control tray, a larger-volume tray (~18% increase), and a hybrid tray with an intermediate volume (~8% increase). All trays contained identical net product weight. Thirty-six untrained panelists from a local community participated in a …

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Context-Aware Vulnerability Scoring For Dubai Immigration Systems: Enhancing Cvss With Exposure And Asset Risk Factors, Saeed Adnan Saeed Alkhatibi Alsuwaidi May 2026

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 …

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Machine Learning–Based Spatio-Temporal Analysis And Prediction Of Urban Air Quality Using Global Aqi And Geolocation Data, Rashed Ibrahim Almheiri May 2026

Machine Learning–Based Spatio-Temporal Analysis And Prediction Of Urban Air Quality Using Global Aqi And Geolocation Data, Rashed Ibrahim Almheiri

Theses

The research problem addressed in this study involves the use of machine learning approach in the spatio-temporal analysis and prediction of urban air quality by relating Air Quality Index (AQI) and geolocation data on Air Quality across a global dataset. The study is informed by the increased concern on the effects of air pollution both on human health and the environment, whereby specific attention is given to comprehending the determinants of AQI in various regions. In the study, four main research questions guide the research: what key factors play an effective role on AQI, the efficiency of machine learning models …

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Social, Economic, And Environmental Sustainability Of Small-Scale Hydroponic Farms, Alexa Genevieve Kaminski May 2026

Social, Economic, And Environmental Sustainability Of Small-Scale Hydroponic Farms, Alexa Genevieve Kaminski

Theses

Controlled environmental agriculture (CEA) is well-positioned to contribute to a more sustainable food system. It has the potential to offset some of the negative impacts of conventional agriculture through its ability to optimize the crop growing environment, locate production closer to population centers, and take advantage of non-arable land. The focus of this dissertation is one type of CEA: the hydroponic container farm (HCF). The HCF grows crops using only water and fertilizer inside a 40-foot shipping container that can be located anywhere in the world. Manufacturers are optimistic about this farm’s abilities, but little research exists that investigates the …

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Smartdesk: Automatic Ticket Classification And Resolution Prediction Using Data Analytics, Danarir Almuhairi May 2026

Smartdesk: Automatic Ticket Classification And Resolution Prediction Using Data Analytics, Danarir Almuhairi

Theses

Public and service-oriented organizations increasingly rely on digital ticketing systems to manage large volumes of citizen and customer requests. Despite this, many ticket management processes remain partially manual, leading to delays in case routing, inefficient resource allocation, 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 processing (NLP) techniques. The research leverages publicly available helpdesk and service ticket datasets to simulate real-world service environments where incoming …

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Comparative Analysis Of Standard Building Materials In Earth-Sheltered Architecture, Austin Greifenkamp May 2026

Comparative Analysis Of Standard Building Materials In Earth-Sheltered Architecture, Austin Greifenkamp

Theses

In an industry that significantly contributes to the ever-increasing environmental destruction witnessed globally, architects are responsible for ensuring human comfort without sacrificing environmental health. Earth-sheltering, an architectural design technique that uses earth to partially or fully cover a building, results in reduced operational energy consumption but introduces structural components to increased loads and higher levels of humidity. Using the material properties and life cycle data of wood, concrete, and steel, this study analyzes the viability of each material in a below-grade environment and the resulting embodied impact of a typical earth-sheltered structure. To align the results of this research with …

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Automated Contact Pattern Extraction And Evaluation For Gears, Tom Abraham May 2026

Automated Contact Pattern Extraction And Evaluation For Gears, Tom Abraham

Theses

The tooth contact pattern is a crucial indicator of overall performance for many gear geometries, especially spiral bevel and hypoid gears. It is directly associated to the loaded function of transmission errors, a primary contributor to gear noise and vibration. This is especially relevant in electric vehicles, where gear noise is more pronounced due to the absence of masking noise from internal combustion engines. Consequently, the inspection and control of the contact pattern are essential aspects of gear design and manufacturing. Traditionally, contact patterns are evaluated using a manual process known as the tooth contact roll test. This test is …

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The Impact Of Employment On Sense Of Belonging And Metacognitive Awareness: A Mixed-Methods Study Of Undergraduate Students’ Mathematical Performance, Erin Ryan May 2026

The Impact Of Employment On Sense Of Belonging And Metacognitive Awareness: A Mixed-Methods Study Of Undergraduate Students’ Mathematical Performance, Erin Ryan

Theses

This study investigated how employment intensity affects two critical factors for academic success: a student’s sense of belonging and their metacognitive awareness (the ability to monitor and manage their own learning). Using a mixed-methods approach at the Rochester Institute of Technology, we analyzed survey data through multi-level modeling and conducted qualitative interviews to capture the personal experiences of employed students. Results reveal that students working off-campus for more than eleven hours a week showed significantly lower sense of belonging and metacognitive awareness scores than unemployed students. However, on-campus employment did not show the same effect. Both quantitative and qualitative results …

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Toward Autonomous Wireless Networks: Spatio-Temporal Prediction Via Physics-Aware Generative Ai Models, Rahul Gulia May 2026

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 …

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A Comparative Static Analysis Of Identifier Clones And Homonyms In Open Source Projects, Jose Palomino Lau May 2026

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 …

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As I Live And Breathe, Jessica Fitzgerald May 2026

As I Live And Breathe, Jessica Fitzgerald

Theses

This thesis employs the unique materiality of glass as a means of investigating interconnection and worth. Through glass, I explore the value of attention, and how directing it informs a sense of what matters. By allowing the fundamental forces of heat and gravity to lead the work, I explore connection, and the hidden ways in which Process influences Piece. The particular malleability of warm glass enables me to capture moments of making. It is the lens through which I focus my investigations, highlighting phenomena in process as the evidence of its creation.

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Uncovering Cytoskeletal Length Control From Growth Trajectories Using Sparse Dynamical Modeling, Carson Hearn May 2026

Uncovering Cytoskeletal Length Control From Growth Trajectories Using Sparse Dynamical Modeling, Carson Hearn

Theses

Understanding the governing equations of biological filament dynamics is essential for predicting cellular behavior, yet these equations are often difficult or impossible to derive directly from first principles. This thesis investigates the use of Sparse Identification of Nonlinear Dynamics (SINDy) as a unified, data-driven framework for discovering, validating, and refining governing equations from both simulated and experimental data. Focusing on biological filament processes, including growth, disassembly, and severing, this work is designed not only to apply SINDy, but to systematically demonstrate that it is a reliable and generalizable tool for modeling complex biophysical systems. To establish this, SINDy is first …

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Understanding Communication In Green Infrastructure Project Teams In Rochester Ny Region: Coordination, Negotiation, And Constraints, Hayden Berner May 2026

Understanding Communication In Green Infrastructure Project Teams In Rochester Ny Region: Coordination, Negotiation, And Constraints, Hayden Berner

Theses

This study explores how communication is perceived and used within multidisciplinary green infrastructure (GI) project teams. As GI continues to grow in the United States, projects increasingly rely on collaboration between professionals from different fields, making communication a critical factor in project success. Using a qualitative research approach, semi-structured interviews were conducted with professionals working on GI projects in the Greater Rochester, New York region. The data were analyzed using an inductive, grounded theory approach to identify key themes related to communication practices, challenges, and outcomes. Results show that communication is not just a tool for sharing information, but a …

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Stance Detection On Social Media: The Impact Of Doping On Athlete Reputation, Connor O'Neill May 2026

Stance Detection On Social Media: The Impact Of Doping On Athlete Reputation, Connor O'Neill

Theses

Doping scandals can have a lasting effect on both athletes' and organizations' reputations, causing athletes to lose money and fans to lose trust in the organizations that govern their favorite sports. This paper investigates the impact a doping scandal can have on an athlete's reputation by  conducting a case study on Jannik Sinner, one of the top tennis players in the world, who ultimately accepted a suspension after testing positive for performance-enhancing drugs, despite being unintentionally exposed. Using data sourced from YouTube comments on tennis-related videos, a fine-tuned Mistral-7B-Instruct-v0.3 model with a classification head was used to carry out stance …

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Complexity And Usability Of Digital Healthcare, Theresa Haas May 2026

Complexity And Usability Of Digital Healthcare, Theresa Haas

Theses

Digital services, ranging from online shopping and banking to government services and healthcare, are rapidly taking over human-provided services. The accessibility and usability of such digital services may not allow older adults to make use of them, making automation a barrier to access societal services. This is especially critical with many healthcare-related services and apps. This research is framed around two interrelated constructs, task complexity and individual complexity, the latter influenced by cognitive decline in older users. The experiment has three representative tasks of different task complexity and the measure of individual complexity which is understood through previous knowledge of …

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