Digital Commons Network^™

Ferroelectric Field-Effect Transistors In Analog Applications: Demonstrated In Time-Domain Neuromorphic Computing Cells, Jacob O'Donnell

Theses

In response to diminishing improvements from transistor scaling, the semiconductor field has shifted its focus to architectural innovation and emerging device technologies. Ferroelectric field-effect transistors (FeFETs) are non-volatile memory elements which offer new opportunities for energy-efficient computing, particularly in compute-in-memory (CIM) architectures. This thesis presents a novel FeFET-based computing cell integrated into a time-domain (TD) computing architecture. The proposed design is evaluated using a device model derived from experimental data and compared with competing non-volatile memory implementations. Results demonstrate improvements in area efficiency and performance, highlighting the potential of the FeFET cell for next-generation TD-CIM systems.

Adaptive Reuse Of Abandoned Schools, Dayana Williams

Theses

This thesis investigates the adaptive reuse of abandoned school buildings in economically declining communities, mainly focusing on how these transformations can contribute to sustainable community revitalization. The research highlights Columbus, Ohio, where school closures and grade realignments threaten to leave many school properties vacant, especially in minority neighborhoods. This adaptive reuse strategy presents an opportunity to address issues such as urban decay, resource efficiency, and social equity by repurposing these buildings into multifunctional community assets. The study adopts a multi-method approach, including literature reviews, case study analysis, and community needs assessments, to identify best practices and critical challenges in adaptive …

Enhancing In-Car Interaction: Analyzing Deaf And Hard-Of-Hearing Drivers’ Usage, And Interaction With Voice-Controlled In-Car Infotainment System, Sanskriti Kumar

Theses

Voice Control Interface is a technology that allows users to use spoken language to interact with a system. The system is capable of speech recognition where the user can input a command, the system understands and executes the commands, and gives an output through text and/or speech. Voice Control Interfaces (VCIs) have become an ubiquitous technology, from public information kiosks to personal computer devices and intelligent virtual assistant devices. The technology is constantly evolving and improving with the intentions to make life easier, however, research has revealed unique challenges VCIs pose for Deaf and hard-of-hearing (DHH) users due to reliance …

Detecting Compromised Hardware Integrity With Machine Learning In Multicore Processors, Alexander Beekman

Theses

Due to the globalization of the Integrated Circuits (IC) manufacturing process, the trust surrounding hardware reliability has become compromised through methods such as injection of malicious hardware (including hardware trojans), hardware backdoors, IP theft, and counterfeit hardware. This thesis will focus on the issue of counterfeit hardware. As the complexity of modern day hardware has increased, detecting counterfeits has become increasingly difficult. Current methods of physical and electrical inspection are limited in both depth and size limitations. Physical inspections are only useful for identifying counterfeits that manifest physically, while electrical testing requires expensive and extensive setups. Computational evaluation of all …

Human-Aware Reinforcement Learning For Adaptive Human-Robot Teaming, Saurav Singh

Theses

The rise of Industry 5.0 has shifted robotic systems toward human-centric design, emphasizing collaboration between humans and machines. While collaborative robots (cobots) are equipped with sensors for safety, they typically overlook human internal states such as fatigue, stress, and workload—factors that significantly impact performance. This lack of awareness limits their ability to adapt and collaborate effectively, particularly in dynamic, real-time environments where human conditions fluctuate. This thesis introduces a novel framework that integrates human internal states into robot decision-making to enhance human-robot collaboration. This research leverages reinforcement learning (RL) to develop methods that enable robots to adapt their behavior based …

The Use Of Robotic Surveillance In The Uae In 2035: Balancing, Innovation, Regulation, And Privacy, Oasha Yousuf Almohier

Theses

This research explores the future of robotic surveillance in the United Arab Emirates (UAE) by 2035, aiming to balance innovation, regulatory oversight, and privacy protection. It investigates the intersection of national security objectives, ethical AI governance, and public trust within the UAE’s rapidly advancing smart city and law enforcement environments. The focus areas include regulatory gaps in current AI laws, ethical concerns such as data privacy and algorithmic bias, and the societal perception of AI-powered surveillance systems. The background of this study stems from the UAE’s ambition to lead in AI deployment, especially within public security initiatives such as autonomous …

Assessing Readiness For Transformation From Rulebased To Ai-Based Chatbot In Uae Healthcare: A Case Study Of A Rehabilitation Hospital In Abu Dhabi, Mubarak Alketbi

Theses

This study investigates the readiness for transforming rule-based chatbots to AI-based chatbots in UAE healthcare, examining a rehabilitation hospital in Abu Dhabi through quantitative research involving healthcare professionals (N=96) and technical analysis. Findings revealed positive perceptions of the current system alongside enhancement opportunities through AI capabilities, with perceived usefulness strongly correlating with behavioural intention, high service quality ratings for empathy and responsiveness, midcareer professionals demonstrating the highest AI acceptance levels, and system integration identified as the highest priority implementation area.

The research contributes to healthcare technology transformation knowledge in the UAE by providing a structured implementation framework addressing technical requirements, …

نحو مظلة تشريعية إماراتية لإقرار الشخصية القانونية للروبوتات, سعيد سالم الشامسي

Theses

Electronic Monitoring in UAE Criminal Legislation

With the great progress witnessed in the fields of artificial intelligence and robotics, these technologies have had a direct impact on various aspects of daily life. Smart robots, which have the ability to self-learn and make decisions, are no longer mere technical tools, but have become entities that play vital roles in many sectors such as health, industry, security, and government services. How can the relationship between humans and robots be regulated? Is it possible to give robots a "legal personality" that allows them to bear responsibility for their actions?

The United Arab Emirates …

Monitoring Sand Migration In Al Ain City Utilizing Remote Sensing Techniques, Sanad Salem Mohammad Fareaa

Theses

Sand migration significantly impacts urban development, infrastructure, and ecosystems in arid regions such as Al Ain city, United Arab Emirates (UAE). This study employs advanced remote sensing techniques to monitor and predict sand dune migration across the Sieh Al Hama dune field, a critical area west of Al Ain. The research objectives include quantifying dune migration rates over three years (2018–2020) using monthly Sentinel-2 satellite imagery, identifying distinct dune fields, and analyzing the textural and mineralogical properties of dune sediments to infer their provenance. Field sampling from four dunes (Large Sabra Dune, Dune 1, Dune 2, and Dune 3) was …

School Leadership Insights And Practices: Understanding Bullying Prevention Strategies Among Teachers In Private And Public Schools Across The Uae, Wissal Mohsen

Theses

This thesis investigates the detrimental effects of bullying on students, including its impacts on mental health, academic performance, and overall well-being. Addressing this issue necessitates a proactive strategy involving school leaders, teachers, and parents. Data was collected via a questionnaire: selected items employed a 5-point Likert scale, while others used a multiple-choice format. Analysis was conducted in SPSS and included descriptive statistics, one-way ANOVA, t-tests, and binary logistic regression. The t-tests indicated that leadership practices implemented to prevent bullying in both public and private schools were highly effective and statistically significant (p < .05). This research contributes to our understanding of how school leadership and teacher involvement influence the efficacy of bullying-prevention strategies. By using quantitative methods, the study offers a comprehensive examination of school policies, bullying-awareness initiatives, and reporting systems. The findings highlight the importance of adopting context-specific approaches to bolster prevention efforts within schools. Future research that combines qualitative and quantitative analyses may yield deeper insights into the real-world challenges encountered in bullying-intervention strategies, thereby bridging the gap between policy formulation and practical implementation to ensure anti-bullying programs are both effective and culturally relevant.

Smart Traffic Intersections: Leveraging Isac And Millimeter-Waves For Advanced Vehicle Platooning, Mohammed Risal Thadathil

Theses

The rapid advancement of self-driving cars is reshaping the transportation industry and accelerating the development of smart cities. Vehicle platooning, a key capability of autonomous vehicles, has the potential to enhance traffic efficiency, reduce congestion, and improve safety at intersections. However, maintaining platoon cohesion, minimizing latency, and optimizing traffic signal interactions remain significant challenges. This study addresses these issues by leveraging Integrated Sensing and Communication (ISAC) technology with millimeter-Waves (mmWaves) signals to optimize platooning performance at traffic signal intersections.

The research identifies gaps in existing Vehicle-to-Everything (V2X) communication frameworks, particularly in managing platoon movements in urban traffic intersections. To bridge …

إعادة توطين اللاجئين في ضوء أحكام القانون الدولي, منار معاوية الدويكات

Theses

Analytical Study of the Principles of Non-Refoulement and Resettlement of Refugees in Light of the Provisions of International Law

The refugee crisis is one of the most significant challenges facing the modern international community. A report from the United Nations High Commissioner for Refugees (UNHCR) has shown that the number of refugees worldwide has risen to approximately 110 million. This means that a large number of individuals are living outside their home countries, residing in host nations as refugees. While hosting refugees is an international obligation that host countries must adhere to, in some cases, the increasing number of refugees …

Improving Reciprocating Compressor Valve Condition Monitoring Via An Accelerated Lifetime Tester And Deep Learning, Jacob Chesnes

Theses

The goal of this research is to improve the current condition monitoring method for diagnosing reciprocating compressor valves. Leakage, seat wear, and spring degradation are three common valve faults that are seeded into all the valves of a Dresser-Rand ESH-1 dual-acting reciprocating compressor. The method converts raw vibration data into the time-frequency domain and determines if the Continuous Wavelet Transformation or the Smoothed Pseudo Wigner-Ville Spectrum can achieve a higher classification accuracy. The Continuous Wavelet Transformation can vary its resolution through two parameters while the Smoothed Pseudo Wigner-Ville Spectrum can vary its resolution through smoothing window sizes. Both time-frequency transforms …

Bioinformatics Pipeline For Gene Regulatory Network Discovery: A Case Study With Exercise Response, Nadia Moore

Theses

Gene regulatory networks are at the core of many biological processes, dictating how a wide range of genes, and their products, interact with one another. Gaining further understanding on how these networks are structured and how they function within the body can aid in deriving meaningful insights on the body’s inner-workings when exposed to any number of conditions. Unfortunately, the information gathered within some studies may be lacking in, for example, sample size or measurements taken at multiple time-points. This work addresses these issues and outlines a pipeline which navigates these smaller collections of data in order to still extract …

Enhancing The Immunogenicity Of Extracellular Vesicle-Based Vaccines Against Pathogenic Nthi Bacteria, Christina Ciko

Theses

Acute otitis media (AOM), or ear infections, are highly prevalent in children, with nearly 80% experiencing at least one AOM by the age of three. As such, there is an urgent need for a vaccine against Nontypeable Haemophilus influenzae (NTHi), a main cause of AOM in the US. Most vaccines contain multiple antigens from the pathogen, inducing an immune response and antibodies to those antigens. Here, we describe a novel approach to creating a vaccine against NTHi, incorporating a unique recombinant trivalent protein (Tri) featuring three NTHi antigens (OMP26, P6, and protein F) in a single peptide chain with an …

Enhanced 3d Sub-Canopy Mapping Via Airborne Full-Waveform Lidar, Robert J. I. Wible

Theses

Airborne light detection and ranging (LiDAR) systems have been used to gather information about forests, their canopies and what lies beneath them for many decades. Recent advances in LiDAR sensor technology have enabled higher sampling rates, leading to increased point densities for discrete point clouds. However, vast portions of the forest sub-canopy still remain either unsampled or occluded. We contend, that waveform LiDAR, as a specific type of structural modality that digitizes the intensity of the laser backscatter as a function of time (range), contains additional information that can be extracted using modern artificial intelligence (AI) and machine learning (ML) …

Fragility And Strength In Times Of War: A Series Of Embroidered Watercolors, Alisha B. Whitman

Theses

This final project report follows the production of a series of embroidered watercolors that explore how war disrupts and can destroy the values which people manage to somehow both hold dear and take for granted. These values, such as peace and freedom, are fragile, and yet they can provide great strength in dark times. This dichotomy is explored through this body of work using the materials of painted paper and thread as symbols of both fragility and strength. Choosing to work with materials and methods historically seen as feminine work add additional meaning to that symbolism. Additionally, Jewish iconography and …

Investigation Of Innovative Heat Pipes / Fins System For Diesel Engine Cooling, Mohammad Shafiq Anees

Theses

Engine cooling is considered one of the most important factors that affect their efficiency and therefore their performance, so a new cooling method is proposed using both heat pipes and fins to improve the cooling efficiency of internal combustion engines and shall be examined theoretically and experimentally. A test rig has been designed and built using a specimen material with similar properties to the real engine materials with similar dimensions as the engine cylinder head / liner thickness. The experiment employed a specially designed testing apparatus that included a gas burner for consistent heating, a modifiable support structure, and an …

House Flies (Musca Domestica) In Abu Dhabi Emirate: Assessing Deltamethrin Insecticide Resistance And Associated Microbial Communities, Mohamad Abdelrahim Hamdan

Theses

This study investigates the common house fly (Musca domestica), a globally important insect that serves as both a decomposer and a mechanical vector for pathogens. The emergence of insecticide resistance, particularly knockdown resistance (kdr) mutations, has been reported in house fly populations, raising concerns for pest control. Additionally, house flies exhibit diverse bacterial communities, influencing pathogen transmission and environmental microbial dynamics. The primary objective of this study was to assess the prevalence of kdr mutations associated with insecticide resistance in house flies collected from the Abu Dhabi Emirate and to analyze their microbial composition using metagenomic approaches. House flies were …

Assessment Of Physiological & Biochemical Changes In Tomato Plants Treated With Plant Growth Promoting Rhizobacteria (Pgpr) Under Salinity Stress Conditions, Mohammed Sharif Alhosani

Theses

Plant growth-promoting rhizobacteria (PGPRs) can effectively mitigate the negative impacts of salt stress on plants. The present study reports the isolation of PGPRs from a high-saline mangrove ecosystem in Abu Dhabi, with isolates exhibiting ACC deaminase (ACCD) activity to reduce stress-induced ethylene, along with additional plant growth-promoting (PGP) characteristics, including phosphate solubilization (P+). A total of 57 salt-tolerant bacterial isolates from the mangrove rhizosphere were initially screened for ACCD and P+ activities. Of these, 24 isolates tested positive for PGP characteristics and were further evaluated for their ability to enhance salt stress tolerance in tomato seedlings. In addition, seedlings inoculated …

Defining Transcriptional Signatures Of Susceptibility For Ceftriaxone And Tetracycline In Neisseria Gonorrhoeae, Sanjana Logu

Theses

Resistance to antibiotics is the ability of bacteria to survive in spite of the administration of drugs designated to kill them; and overuse of antibiotics over the past decades has led to a vast increase in resistance. Most infections are treated empirically, such that patients are given a recommended course of antibiotics, however these infections are not frequently tested for their antimicrobial susceptibility profiles (i.e., tested only in the case of treatment failure). This can lead to inappropriate prescription which can increase the selective pressure of antibiotics on other bacterial members of our microbiomes. Susceptibility testing would help determine the …

Soundhapticsvr: Head-Based Spatial Haptic Feedback For Accessible Sounds In Virtual Reality For Deaf And Hard Of Hearing Users, Pratheep Kumar Chelladurai

Theses

Virtual Reality (VR) systems use immersive spatial audio that provide more localized sound awareness to convey critical information. However, these audio cues are often inaccessible to individuals who are Deaf or Hard-of-Hearing (DHH). To address this, we developed, a head-based haptic system designed to enable localizing and convert- ing audio signals directly into haptic feedback using multi-channel acoustic haptic actuators. We evaluated through three studies. The preliminary study determined the maximum tactile frequency threshold perceivable on different regions of the head of DHH users when a VR headset is attached. This was followed by a study to deter- mine the …

Machine Learning For Complex Networks: Generalization, Fairness, And Model Selection In Graph-Based Systems Across Social And Biological Domains, Angelina Brilliantova

Theses

Networks serve as a fundamental framework for modeling complex systems across diverse domains, from biological interactions and social structures to economic markets and information networks. Machine learning has significantly enhanced the ability to extract meaningful patterns from graph-based systems, improving predictive accuracy in applications such as market design, recommendation systems, and biomedical discovery. Despite the successes of machine learning in analyzing complex networks, several fundamental challenges remain. A major issue is the reliance on simplistic models for theoretical analysis, simulation, and benchmarking, which often fail to capture the complexities of real-world networked systems. Many theoretical studies focus on oversimplified generative …

Understanding And Implementing Fashion Sustainability: An Academic Course, Paige M. Baldwin

Theses

This project outlined a fashion sustainability course meant to be taught at a degree-awarding educational institution. The course explores the environmental, social, and economic impacts of the fashion industry. Students learn about sustainable practices, materials, and design principles. Students also study consumer behavior, supply chain management, and government policies related to sustainable fashion. The literature and research looked at the current fashion industry landscape and the sustainability issues that are being addressed, the current educational landscape of fashion programs in the United States of America, and the current literature regarding building an effective curriculum in the 21st century.

Framing The Gaze: The Transformation Of Storytelling From Chinese Scrolls To Persian Miniature Illuminations, Lindsey A. Maslar

Theses

Miniature painting represents one of the many exquisite traditions in Islamic art, flourishing particularly during the Safavid period (1501–1736 CE). Numerous power shifts throughout Persia during this time resulted in significant cross-cultural artistic exchanges, particularly with visual culture from the Ming Dynasty. The Mongol invasion of Persia in the 13th century facilitated a profound cultural diffusion, as Persian artists and patrons selectively incorporated Chinese motifs, techniques, and spatial concepts, adapting them to suit local aesthetic and ideological frameworks. This thesis examines how the adaptation of Mongol artistic elements in Persian miniatures influenced not only stylistic conventions but also transformed the …

Deepfake Image Detection Using Explainable Ai And Deep Learning, Abdallah Abdulfattah Mohammed Abdulrahman

Theses

Deepfake technology has grown exponentially, and it has changed our perspective of managing digital content. The technology has many applications, but its ease of access has brought many risks. These risks include identity theft, misinformation spread, development of non-consensual content, and a decrease in trust in media. To address these challenges, we propose a hybrid deep learning model combining Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks for deepfake image detection. We developed a CNN model and four hybrid CNN-LSTM models in our study. Our approach integrates the strengths of CNNs for spatial feature extraction and LSTMs for …

عقد المقاولة من الباطن, سالم صالح العامري

Theses

Subcontract

This research addresses the subject of subcontracting agreements, a significant aspect in construction and engineering fields due to the increasing complexity of engineering projects and the need to distribute work among specialized contractors. The study explores the challenges associated with subcontracting agreements in terms of legal obligations, disputes, and mechanisms for resolving them. It also focuses on analyzing the relationship between the main contractor and the subcontractor, as well as the legal frameworks governing this relationship to ensure a balance between the rights of the different parties.

The research employs a descriptive and analytical approach, utilizing data from legal …

Machinery Imbalance Failure Prediction Based On Pump – Motor Vibration Readings, Abdulrahman Albuflaseh

Theses

Predictive maintenance has emerged as a transformative solution in industrial operations, reducing unexpected machine failures and minimizing downtime. This study explores the application of machine learning in vibration analysis to detect imbalances in pump-motor units, a critical issue that accelerates equipment wear and increases maintenance costs. Traditional maintenance methods, such as scheduled inspections, often fail to identify faults early, leading to significant operational disruptions, particularly in utility, oil and gas sectors. By leveraging real-time vibration data and advanced machine learning techniques, this research aims to develop an efficient imbalance detection model that enhances maintenance efficiency and reliability. The study employs …

Femtosecond Laser Figuring And Polishing For Freeform Optics Fabrication, Gong Chen

Theses

Freeform optics revolutionizes imaging systems by enabling compact designs and high-performance capabilities, which are crucial for applications such as augmented and virtual reality, medical diagnostics, biosensing, space exploration, remote sensing, and EUV lithography. However, fabricating freeform optical components presents significant challenges: conventional chemical and mechanical methods generate chemical waste and introduce mid-spatial-frequency errors that degrade imaging contrast. This research seeks to overcome these limitations by establishing ultrafast-laser-based figuring and finishing methods. These methods offer a fast, non-contact, flexible, and precise green solution, paving the way for sustainable, high-quality freeform optics fabrication. We expanded a laser pulse propagation model to simulate …

Advances In Machine Learning For Pain Recognition: A Review Of Algorithms, Modalities, And Outcomes, Abdulrahman Alsharif

Theses

The emergence of machine learning (ML) in healthcare has unlocked the transformative potential of pain detection and assessment. By providing new ways to address the challenges associated with subjective and inconsistent pain assessment methods. This review synthesizes recent advancements in ML-based approaches for pain detection, focusing on algorithms, modalities, and datasets. Techniques such as neural networks, transformer models, and multimodal fusion frameworks have demonstrated significant promise in identifying pain from diverse sources, including facial expressions, physiological signals, and synthetic datasets. Key contributions include novel transformer-based architectres like PainAttnNet for analyzing electrodermal activity [1], multimodal datasets such as BioVid for advancing …