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Forecasting Load At Residential, Industrial, And Commercial Stations For Dubai Electricity And Water Authority: A Machine Learning Approach To Managing Generation During Peak And Off-Peak Times Over The Coming Years, Mohammad Anoohi
Theses
In Dubai, with the rapid growth of energy demand, efficient demand side management is necessary to optimize the distribution of electricity, reduce peak loads, and improve grid stability. Traditional DSM strategies are based on historical data and reactive control mechanisms that cannot adapt to evolving consumption patterns. This research uses Machine Learning techniques to enhance DSM in residential, commercial, and industrial sectors by developing predictive models that forecast energy demand based on seasonal variations. The dataset used was from Dubai Electricity and Water Authority (DEWA), covering the consumption patterns across Summer, Winter, Transition from Winter to Summer, and Transition from …
My Two Bodies, Zahra Babaei
My Two Bodies, Zahra Babaei
Theses
My Two Bodies examines the intersection of visibility, memory, and gendered absence through photographic and material strategies. Engaging with censorship and instability of the image, it investigates how realities are shaped by what is seen, obscured, or erased. Referencing the gendered absence of women in Iranian visual culture, the project considers how censorship intensifies rather than eliminates visibility. Drawing from Jacques Derrida’s concept of hauntology, absence is approached not as a void but as an active presence that disrupts the surface of the image. Through processes such as collage, projection, and fabric-based image making, photographs are treated as tactile, mutable …
Sustainable Retrofits: The Balance Between Energy Efficiency And Embodied Energy, Alexander Narvaez
Sustainable Retrofits: The Balance Between Energy Efficiency And Embodied Energy, Alexander Narvaez
Theses
This thesis looks at how to balance energy efficiency with embodied energy in small commercial retrofits, focusing on restaurant buildings. Rather than tearing down older buildings and starting from scratch—something that wipes out all the embodied energy already invested—retrofitting can improve performance while preserving what's already there. Using EnergyPlus for operational energy modeling and the Athena Impact Estimator for embodied energy analysis, this study compares different retrofit scenarios. These include retrofitting one, two, or all three major assemblies (walls, roofs, and floors) to see how each combination affects total emissions over time. The results show that not all retrofits are …
Fake News Detection: Leveraging Natural Language Processing And Machine Learning For Reliable Information Verification, Roshni Rajendra Salve
Fake News Detection: Leveraging Natural Language Processing And Machine Learning For Reliable Information Verification, Roshni Rajendra Salve
Theses
This dissertation details the creation and assessment of a machine learning algorithm designed to identify fake news utilizing Natural Language Processing (NLP) methods. The research employs several machines learning models, including Long Short-Term Memory (LSTM) and other deep learning techniques, to detect and classify misleading information. Data is sourced from a variety of platforms, such as social media and online news outlets, to compile a thorough dataset. The data is pre-processed to eliminate noise, address missing values, and extract essential features through techniques like tokenization, stop-word removal, and lemmatization. The performance of the models is evaluated using key metrics such …
Effect Of Traumatic Brain Injury On Quality Of Life, Mohammad A. Al Rjoob
Effect Of Traumatic Brain Injury On Quality Of Life, Mohammad A. Al Rjoob
Theses
Traumatic brain injury (TBI) results from external events, such as falls and motor vehicle accidents leading to brain damage. This study investigated quality of life (QoL) in individuals with TBI and its relation to demographic and clinical variables, including gender, age, educational level, time since TBI onset, fatigue, depression and cognitive function. Twelve individuals with TBI participated in this cross-sectional study. Quality of life was assessed using Quality of Life after Brain Injury and ASHA Quality of Communication Life Scale measures. Fatigue was measured using the Fatigue Severity Scale, depression was measured with the Geriatric Depression Scale, and cognitive function …
Gender Knobs, Jordan Faye Bardgett
Gender Knobs, Jordan Faye Bardgett
Theses
Gender Knobs is a performance art piece that tells the histories of both the technology surrounding pitch shifting devices like the vocoder as well as well as the personal history of the voice of the performer, Jordan, regarding their queer identity as non-binary trans woman. The performance is a combination of lecture, personal storytelling, and sound performance within a theatrical setting with musical accompaniment and projected visuals.
A Costuming Carol: A Costume Design Thesis On A Christmas Carol, Aleka Fischer
A Costuming Carol: A Costume Design Thesis On A Christmas Carol, Aleka Fischer
Theses
This thesis is a collection of research, analysis, design, and production work done for the costumes for A Christmas Carol. The play production took place in the McLeod Theater at Southern Illinois University from December 5th- December 8th, 2024. The play was written by Darwin Reid Payne and published in 1981. It is an adaptation of the novella A Christmas Carolby Charles Dickens. Chapter 1 contains the research and script analysis used to make design decisions for this production. Chapter 2 documents the design process, and how the costume design evolved between the first and final design meetings. Chapter 3 …
Sesp Plinko: Dynamics Of C-Shaped Particles Moving Through An Obstacle Field, Ollie Yakimow
Sesp Plinko: Dynamics Of C-Shaped Particles Moving Through An Obstacle Field, Ollie Yakimow
Theses
We examine the behavior of C-shaped superellipse sector particles (SeSPs) as they travel through an obstacle field. SeSPs are two-dimensional particles parameterized by corner sharp- ness, aspect ratio, and opening angle; these parameters are sufficient to represent a large variety of shapes, including discs, rods, and concave and convex particles. Our obstacle field is a rhombic Galton Board, an array with alternating rows of pegs. Galton Boards are common not just in experiments but in popular media, such as in boardwalk games and in The Price is Right’s game segment known as "Plinko." Round particles dropped through a Galton Board …
Stories In Style: Interactive Fashion Exhibits As Tools For Activating Special Collections, Riley Mason
Stories In Style: Interactive Fashion Exhibits As Tools For Activating Special Collections, Riley Mason
Theses
Interpretation is a museum’s most significant form of communication with visitors. Historic collections, material representations of distinct historical narratives and themes, hold objects and cultural knowledge that enable them to contextualize contemporary concepts like fashion through exhibit-based interpretation and extend these concepts beyond labels through interactivity. To investigate the role of these specialized repositories in challenging existing narratives and connecting with modern audiences, this thesis developed a collection-driven exhibit to answer the following question: how can institutions activate special collection objects through relevant interpretation and non-digital interactive experiences in exhibits? Through researching and analyzing four objects from the Bruce and …
Capturing Community Memory: A Juxtaposition Of Oral History And Historic Building Preservation, Eliot Gavin
Capturing Community Memory: A Juxtaposition Of Oral History And Historic Building Preservation, Eliot Gavin
Theses
Preserving local history has always been a challenge for small communities. Traditional preservation methods like historic building preservation can be costly and take a lot of time for local historical societies. These historic sites are important to the culture of the local citizens and deserve to be saved. Using The Castle on the Hill in Dansville, New York, as a case study, oral histories will be captured to explore the role of oral history in preservation. The Castle on the Hill plays an important role in shaping Dansville’s identity as a town. In the past, the Castle has served as …
Through Legitimate Dissent, The Supreme Court Repairs Itself, Afnaan A. Qureshi
Through Legitimate Dissent, The Supreme Court Repairs Itself, Afnaan A. Qureshi
Theses
The decisions of the Supreme Court of the United States, along with its reasoning, influence the direction and scope of historical events. Through an analysis of landmark dissents from four of the worst Supreme Court decisions, Curtis’ dissent in Dred Scott v. Sandford (1857), Harlan’s dissent in Plessy v. Ferguson (1896), Holmes’ dissent in Abrams v. United States (1919), and Murphy’s dissent in Korematsu v. United States (1944), we can take steps towards catalyzing its self repair by stepping away from digital echo chambers and engaging in legitimate dissent. The four cases marked turning points in the efforts to protect …
A Bert-Resnet Cross-Attention Fusion Network And Modality Utilization Assessment For Multimodal Sentiment Classification, Ronen G. Gold
A Bert-Resnet Cross-Attention Fusion Network And Modality Utilization Assessment For Multimodal Sentiment Classification, Ronen G. Gold
Theses
This study explores the growing field of Multimodal Sentiment Analysis (MSA), focusing on understanding how advanced fusion techniques can improve sentiment prediction in social media contexts. As platforms like X and TikTok continue to expand and facilitate sharing sentiment through digital media, there is an increasing need for neural network architectures that can accurately interpret sentiment across modalities. We implement a model using BERT for textual features and ResNet for visual features. A cross-attention fusion module aligns the modalities for joint representation. We conduct experiments on the MVSA-Single and MVSA-Multiple datasets, which contain over 5,000 and 17,000 labeled text-image pairs. …
Investigating The Relationship Between Cellular Senescence And Pulmonary Fibrosis, Crystal Lee
Investigating The Relationship Between Cellular Senescence And Pulmonary Fibrosis, Crystal Lee
Theses
This study investigates the complex relationship between cellular senescence, aging, and pulmonary fibrosis through a comprehensive analysis of bulk RNA-seq data from patients with idiopathic pulmonary fibrosis (IPF), chronic obstructive pulmonary disease (COPD), and scleroderma. Using differential expression (DE) and age-associated differential expression (AADE) analyses, we revealed a paradoxical pattern: senescence-related gene sets were significantly downregulated in disease comparisons but progressively upregulated with aging within these same diseases. Gene set enrichment analysis (GSEA) revealed that gene sets associated with DNA damage/telomere stress and oxidative stress were among the most enriched senescence inducers in fibrotic disease states, while cellular senescence and …
Under The Mask: Labeling And Self-Perception In Augmented Reality, Ruiyuan Guo
Under The Mask: Labeling And Self-Perception In Augmented Reality, Ruiyuan Guo
Theses
Under the Mask is a speculative AR experience that critically explores how social labels shape both perception and self-perception in everyday life. The project reimagines augmented reality not as a technological novelty, but as a conceptual mirror—a way to visualize how identity is continuously negotiated in social space. Users interact with two distinct labeling functions: when they assign a tag to themselves, it becomes visible to everyone, symbolizing the ways in which self-identification enters public discourse. In contrast, when users label others, those tags remain private—visible only to the individual user—highlighting how our assumptions primarily influence our own vision, not …
Bodies Unseen: Hysteria’S Stain On Women’S Healthcare, Layla Dehrab
Bodies Unseen: Hysteria’S Stain On Women’S Healthcare, Layla Dehrab
Theses
Bodies Unseen is a 5-minute motion graphics piece accompanied by a 12-page zine that explores the historical and ongoing dismissal of women’s pain within the medical system, rooted in the legacy of hysteria. Through the fictionalized stories of Ada, Rosa, and Mabel-women from different time periods who face misdiagnosis and neglect, the project illustrates the persistent gender bias in healthcare. Drawing from historical records, feminist theory, and contemporary research on medical inequity, this work connects past injustices to modern-day disparities in diagnosis and treatment. The animation and zine work in tandem to educate viewers and encourage dialogue about the systemic …
Ai Emotional Companion App, Ruyi Liu
Ai Emotional Companion App, Ruyi Liu
Theses
"Lumi" is an AI emotional companion app designed to provide personalized, immersive, and emotionally supportive experiences. The project explores how customizable virtual characters can fulfill the growing emotional and social needs of users through multimodal interaction, intimacy-building systems, and gamified engagement. By combining user interviews, competitive analysis, and iterative prototyping, this thesis investigates how design strategies can strengthen the user’s emotional bond with an AI character. The final product presents a flexible platform where users can create unique AI companions, interact in diverse ways, and develop lasting emotional connections. This work contributes to the field of emotional UX and digital …
Sales Opportunities Lead Qualification In B2b Market, Hajar Hussain Ahli
Sales Opportunities Lead Qualification In B2b Market, Hajar Hussain Ahli
Theses
This thesis addresses the challenge of inefficient lead qualification in the business-to-business (B2B) market by applying machine learning techniques to predict the likelihood of winning a sales opportunity. Using a real-world dataset of over 78,000 records and 17 variables, the study aims to improve how sales teams identify and prioritize high-conversion leads. A thorough data preparation process was conducted, including handling of missing values, outlier detection, and under-sampling to resolve class imbalance between won and lost opportunities. After thorough data cleaning, preprocessing, and under-sampling to address class imbalance, five machine learning models were developed: Logistic Regression, Random Forest, Neural Network, …
Intellimad: A Framework For Secure Machine Learning Models Evaluation And Fine-Tuning In Federated Setting, Dmitrii Korobeinikov
Intellimad: A Framework For Secure Machine Learning Models Evaluation And Fine-Tuning In Federated Setting, Dmitrii Korobeinikov
Theses
In contemporary artificial intelligence (AI) appli- cations, Machine Learning (ML) models are core components enabling AI-driven functionalities, yet selecting and fine-tuning a model and its hyperparameters remains challenging. ML model architecture, as well as key model training parameters, such as the number of training epochs, batch size, and learning rate, are highly dependent on both the dataset modalities and the specific task resolved in a particular application. More sophisticated execution setups may require determination of additional environment-related parameters, such as identifica- tion of computational capabilities required for execution of a particular AI-driven task, or discovery and establishment of desired security-related …
Predicting The Probability Of Crime Related Danger In Los Angeles, Joshua Oghenetega Okpako
Predicting The Probability Of Crime Related Danger In Los Angeles, Joshua Oghenetega Okpako
Theses
This thesis examines the use of advanced machine learning to predict crime danger in Los Angeles, where 2023 violent crime rates (503 per 100,000) surpass the national average (363.8 per 100,000). Rooted in theories like social disorganization and victim vulnerability, it addresses the lack of combined victim-centric modeling by focusing on three questions: (1) Do blended ensemble models outperform individual models in predicting crime danger? (2) Can unsupervised learning techniques enhance supervised models’ accuracy through label generation or augmentation? (3) How can we interpret accurate machine learning models' decision-making processes? Using historical crime data from Los Angeles (2020–2025) and various …
Predicting And Forecasting University Rankings In The Uae Using Machine Learning, Fatma Ibrahim Ahmad
Predicting And Forecasting University Rankings In The Uae Using Machine Learning, Fatma Ibrahim Ahmad
Theses
Higher Education Institutions (HEIs) play a vital role in advancing knowledge economies, and institutional rankings are increasingly used as global benchmarks of academic performance and reputation. In the context of the United Arab Emirates (UAE), enhancing institutional competitiveness in global rankings aligns with national strategies such as UAE Vision 2030 and the Centennial Plan 2071. This research applies machine learning (ML) techniques to develop predictive models that forecast institutional ranking outcomes, enabling data-driven planning and continuous academic improvement. The study utilizes a dataset compiled from the QS World University Rankings (2020–2024), cross- referenced against the institutional listings maintained by the …
Personalized Nutrition Recommendations For Arab Communities: Transforming Diet And Health Through Machine Learning, Khalfan Aldoobi
Personalized Nutrition Recommendations For Arab Communities: Transforming Diet And Health Through Machine Learning, Khalfan Aldoobi
Theses
A lack of cultural understanding in traditional nutrition approaches prevents proper adherence to healthy dietary patterns among individuals. The Arab population faces unique challenges due to cultural dietary customs and lifestyle changes that have made obesity and diet illnesses major global public health challenges. The rapid shift to high-calorie but undernourished foods and less physical activity has resulted in alarming rate increases of obesity, cardiovascular diseases, and type 2 diabetes. The lack of cultural understanding in traditional nutrition approaches prevents proper adherence to healthy dietary patterns among individuals. This study focuses to fills the existing gap by applying Artificial Intelligence …
Future Unleashed: Reimagining Marketing Strategies With Future Foresight, Afra Sultan Al Suwaidi
Future Unleashed: Reimagining Marketing Strategies With Future Foresight, Afra Sultan Al Suwaidi
Theses
In today’s fast-paced and dynamic business landscape, marketing plays a crucial role in influencing business strategy and decision-making in an organisation. Marketing not only helps organisations identify and anticipate trends, threats, and opportunities, but also enables them to formulate and implement effective strategies to capitalise on these insights and achieve the organisation’s vision and goals. Future Foresight in marketing empowers organisations to stay ahead of the curve and gain a deeper understanding of the target audience and industry landscape. The evolving nature of marketing driven by advancements in technology, particularly artificial intelligence, machine learning, and digital marketing channels, makes it …
You! Me! Dancing!, Aaron Ickler
You! Me! Dancing!, Aaron Ickler
Theses
YOU! ME! DANCING! is a 3-piece photo installation consisting of photographs of myself and the Rochester area furry community. YOU! contains 145 medium format slides across two light panels exploring my relation to the masculine aspects of the Furry Fandom through staged studio portraits, intimate looks into furries in their natural habitats, and moments from local meetups. ME! uses large format sheet film layered in acrylic to highlight the change of character of wearing a fursuit, featuring my own custom fursuit. Lastly, DANCING!, is a visually inaccessible 80 image slideshow in which the pace and interval timed start of the …
Lovejoy: Imagination And Community, Julia D'Amico
Lovejoy: Imagination And Community, Julia D'Amico
Theses
Lovejoy is a photographic portrait of memory, imagination and the future of a neighborhood in Buffalo, New York. For nearly a century, my great-grandparents, grandfather, uncles and cousins lived in the house on Goethe Street in Lovejoy. It was once a vibrant working-class community of immigrants from a few towns in Central and Southern Italy. In 2020, I moved back to Buffalo, regularly visiting my elderly relative who still lived there. She died later that same year. Photography, which has long been a form of self-expression for me, was the medium I had at hand when we started to clean …
Embracing Unpredictability, Stella Huang
Embracing Unpredictability, Stella Huang
Theses
This paper explores the theory and practice of combining unpredictability in life with reverse thinking in modern jewelry design. Traditional jewelry design is often based on fixed aesthetics and strict craftsmanship. This study uses three concepts of jewelry design and clothing wear that break the conventions - a silver mask worn on the face, a skirt worn above the head and not touching the human body, and jewelry made of gallium that melts at human body temperature - as cases to analyze how to express the artistic concepts of "change" and "breaking boundaries" by breaking traditional rules and using material …
Transforming Through Art: Trauma & Domestic Violence, Bridget Provan
Transforming Through Art: Trauma & Domestic Violence, Bridget Provan
Theses
In this thesis, I explored bodily transformation and resilience after trauma through the lens of personal experience with domestic violence. I created sculptural installations using my imagery of bruises, scars, and injuries to convey the ideas of reclamation, healing, and empowerment. The ephemeral quality of natural dyes reflects the impermanence of bruises mirroring the organic journey of recovery. I approach my work from a personal perspective. The sculptural forms serve as fragmented representations of traumatic memory. My artistic practice is deeply tied to materiality and process—choosing natural dyes, textiles referencing care and domestic spaces, sculptural forms derived from personal documentation, …
Mundane, Ordinary And Eerie Undertones, Yixuan Xia
Mundane, Ordinary And Eerie Undertones, Yixuan Xia
Theses
When people encounter fear and uncertainty, their mental and physical reactions can vary. Drawing from my personal experience and the ‘Uncanny Valley’ theory [2], I explore various materials and juxtapose ordinary elements with unsettling imagery. In this project, I focus on donuts, transforming them by adding surreal details to imbue them with eerie undertones. For example, in one of my works, a delicious-looking donut appears perfectly normal at first glance. When viewers have a close look at the donut, its surface is crawling with worms, creating an unsettling contrast between the familiar and the disturbing. By altering these familiar items, …
An Investigation Of Electrical Surface Impact As A Three-Dimensional Low-Energy Defibrillation Method, Rhiannan Ruef
An Investigation Of Electrical Surface Impact As A Three-Dimensional Low-Energy Defibrillation Method, Rhiannan Ruef
Theses
Ventricular fibrillation is a medical emergency that leaves the heart unable to beat properly, and is fatal within minutes if left untreated. Furthermore, it’s the leading cause of sudden cardiac arrest according to the NIH, killing over 400,000 Americans every year. Previously, we’ve proposed a new low-energy defibrillation method to restore the heart to its normal rhythm during fibrillation. Our method required further investigation due to the presence of several important dynamical processes. In this dissertation, we report the results of these investigations. First, we will present our results related to a novel behavior called “flopping,” which occurs when a …
Moonstorm In The Mainstream Or On The Margins?: Constellating St. Louis Lesbian Rhetorics From The Archives, Aurora Blanchard
Moonstorm In The Mainstream Or On The Margins?: Constellating St. Louis Lesbian Rhetorics From The Archives, Aurora Blanchard
Theses
Combining rhetorical analysis, oral history collection, and archival study, this multi-genre research project explores lesbian feminist organizing in the 1970s. Moonstorm was a St. Louis lesbian feminist magazine that operated in the 1970s and 1980s. The sample in this research project focuses on the issues of Moonstorm published between 1973 and 1977. Issues of Moonstorm are available for viewing in the archives of the State Historical Society of Missouri. Building on V. Jo Hsu’s theory of constellating, the poems and stories found in Moonstorm serve as sites of both contested and unconditional belonging for modern LGBTQ+ activists. Constellating, specifically in …
Vigilante Justice Violence In Ghana: Does A Visible Police Force Reduce Support For Instant Justice?, John Ampomah
Vigilante Justice Violence In Ghana: Does A Visible Police Force Reduce Support For Instant Justice?, John Ampomah
Theses
Vigilante justice remains a persistent issue in Ghana, with a significant portion of Ghanaians subscribing to it to address their grievances. While existing research has examined the social and cultural drivers of vigilante justice in Ghana, the role of visible police presence (i.e., police station and police patrol) on vigilante justice has received limited attention. This study seeks to add to the literature by exploring the relationship between visible police presence and support for vigilante justice by drawing on Black’s (1983) Self-Help Theory. First, I argue that a visible police force directly reduces public support for vigilante justice and indirectly …