Digital Commons Network^™

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 …

The Relationship Between Perceived Stress, Rumination, And Sleep Quality Among University Students, Aljazeeya Almansoori

Theses

Sleep is a crucial physiological function that underpins human health and wellbeing, profoundly affecting cognitive abilities, emotional stability, and the overall quality of life. Disruptions in sleep quality and quantity are commonly associated with increased perceived stress and rumination. This study aimed to investigate the correlations among perceived stress, rumination, and sleep quality in university students in the UAE, while also considering demographic factors such as age, gender, marital status, and educational level. It was hypothesized that higher levels of perceived stress and rumination would be associated with lower sleep quality. The study employed a cross-sectional design, involving a sample …

Detection And Quantitation Of A Drug And Pesticides In Food Products Of The Uae (Dates And Camel Milk) By Liquid Chromatographic Techniques, Afnan Wael Alanqar

Theses

In this thesis the detection and quantification of the traces of multi-residue pesticides in 26 date fruits samples as well as the presence of the anthelmintic drug thiabendazole in pasteurized commercial camel milk consumed in the United Arab Emirates is examined. The main objective of this thesis is two folds; first is to determine whether a selected 12 pesticides of 8 different chemical groups- in the case of date fruits- and the drug thiabendazole-in case of camel milk- exists in the randomly collected samples of corresponding matrices. Second, is to quantify these compounds and compare their amount to the established …

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, …

Design And Evaluation Of Geopolymer Composite As A Potential Sorbent Of Heavy Metals From Water, Ebtesam Mohammed Alghafri

Theses

Reducing the levels of heavy metals in water is crucial, given their severe environmental and health impacts. Various methods exist for heavy metals removal. Yet, they mostly come with multiple drawbacks, such as costly treatments and limited efficiency. Previous studies have found geopolymer to be a promising sorbent because it is synthesized using by-product materials, making it an eco-friendly and economically sustainable alternative. Limited studies explored the sorption potential of fly ash-slag blended geopolymers; none examined the effect of mix design factors synergically on sorption, mechanical properties, and durability, and few considered solution characteristics and operating conditions simultaneously. Therefore, this …

Hybrid Treatment Method Of Biofiltration Preceded With Advanced Oxidation Process For The Removal Of Emerging Contaminants From The Wastewater Treatment Plant Effluent, Anjali Mohan Payathuparambil

Theses

The global demand for potable quality water has been on a continuous rise. Consequently, water reuse is now considered as an alternative to significantly expand supplies of freshwater in communities facing water shortages. Most of the conventional wastewater treatment plants (WWTP) are not efficient in the removal of emerging contaminants from the water, which will cause serious issues to the environment, human and animal life. This research investigated the possibilities of treating wastewater for reuse. First, the feasibility of utilizing a biofiltration system without pre-treatment for removing emerging contaminants from the WWTP effluent was investigated. Two types of biofilter media- …

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.

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 …

Performance Comparison Of Iot-Powered Indoor Hydroponic Systems And Outdoor Traditional Environment, Saleha Alharthi

Theses

Traditional agriculture faces challenges, including high water consumption, greenhouse gas emissions, and fluctuations in environmental conditions. The research aims to develop alternative sustainable solutions to address issues related to traditional farming. Hydroponics provides opportunities to grow different types of vegetables indoors, where conventional agriculture is challenging. This thesis presents a comparative study of soil-based and hydroponic arugula cultivation using the nutrient film technique (NFT). The proposed methodology focuses on maintaining high similarity in the implementation of components across systems to ensure fair comparison. This thesis utilized distinct approaches. The first approach compared an outdoor soil-based system with an indoor hydroponic …

The Development Of Year One Students’ Reading Ability In A Curriculum Using Monster Phonics Scheme In The Uae, Sara Berrandjia

Theses

This study explores the impact of the Monster Phonics program on the reading development of Year 1 students in Al Ain, UAE. Reading proficiency is a fundamental skill in early education, and phonics instruction plays a crucial role in literacy acquisition. Monster Phonics, a color-coded synthetic phonics program, has been increasingly adopted in classrooms, yet its effectiveness in multilingual settings remains underexplored. This research aims to investigate how students' reading ability develops in the context of a curriculum using the Monster Phonics scheme. A mixed-methods approach was employed, combining quantitative assessments pre- and post-tests on grapheme-phoneme correspondence, word reading, and …

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 …

Culex Quinquefasciatus Mosquitoes In Abu Dhabi Emirate: Assessing Deltamethrin Insecticide Resistance And Associated Microbial Communities, Amgdsayed Ismat Ali

Theses

Culex quinquefasciatus is a major vector of West Nile virus, lymphatic filariasis, and arboviruses, which represent public health risk. Widespread application of pyrethroid insecticides has increased resistance in mosquito populations threatening the effectiveness of control strategies. This study aims to (1) assess deltamethrin resistance in Culex quinquefasciatus populations across the Abu Dhabi Emirate, (2) characterize the microbial communities associated with these mosquitoes.

Mosquitoes from sites around the Abu Dhabi Emirate were collected and genomic DNA extracted for molecular analysis. PCR and allele-specific primers were used to detect knockdown resistance (kdr) mutations in the sodium channel gene, classifying mosquitoes as susceptible …

Continuous Professional Development (Cpd) For Inclusive Education In Uae Schools: Current Practices And In-Service Teachers’ Preferences, Hafsa Khaled Aishan

Theses

Professional development serves as a driving force in empowering teachers within inclusive education settings. The purpose of this study was to investigate the perspectives of both general and special education teachers about the effectiveness of currently implemented professional development practices. Data were collected using explanatory mixed-methods design, which included a questionnaire and semi-structured interviews. This method was utilized to improve the depth of research through the integration of quantitative and qualitative data. The combination of these two methods strengthens validity, reduces bias, and increases reliability. Non-probabilistic purposive sampling method was employed to collect the data as a total of 115 …

A Bayesian Belief Networks Approach To Prioritize Road Safety Mitigation Measures For Eco-Mobility Modes, Fatmah Mohamed Alyammahi

Theses

This study presents an innovative decision-making approach that enables the prioritization of road safety measures for eco-mobility users—pedestrians, cyclists and light-electric micromobility riders—in Abu Dhabi. The analysis uses 2032 eco-mobility crash records (1016 pedestrian, 567 bicycle, 449 e-scooter) from 2020-2023 supplied by Abu Dhabi Police and the Department of Municipalities and Transport. A supervised Bayesian Belief Network (BBN) was constructed around six empirically estimated variables: visibility, predictability, road curvature, obstructions, lighting and speed limit. Maximum-likelihood conditional-probability tables were derived from the cleaned dataset; Beta priors were applied only where cell counts were sparse. Ten conventional machine-learning models—including Random Forest, Gradient …

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) …

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 …

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 …

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 …

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 …

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 …

Systematic Evaluation Of Regression Models For The Prediction Of Influenza Cases, Mukul Kandwal

Theses

This study systematically evaluates machine learning models to forecast influenza outbreaks, aiming to enhance public health preparedness through accurate predictions. Laboratory-confirmed influenza case data from the New York State Department of Health (2009–2023) were used to train and test five regression models—XGBoost, Neural Network (MLP regressor), K-Nearest Neighbors (KNN), Random Forest, and Support Vector Regression (SVR)—with preprocessing techniques including differencing and phasing. A leave-one-season-out cross-validation framework and Symmetric Mean Absolute Percentage Error (SMAPE) were employed to rigorously assess performance. Key findings reveal that the Neural Network (MLP regressor) outperformed other models, achieving the lowest SMAPE score (23.7), underscoring the critical …

Design And Application Of Molecularly Imprinted Polymers For The Detection Of Bpa, Pfoa, And Caffeine, Finbarr Buckley

Theses

Molecular Imprinted Polymers (MIPs) are polymer based solid phase extraction (SPE)recognition systems. MIPs were formulated using Acrylic Acid (AA) and Ethylene glycoldimethacrylate (EGDMA) to selectively target the following compounds Bisphenol A (BPA),Perfluorooctanoic acid (PFOA) and caffeine. This study presents novel MIPs for each targetqualitatively analysed with Raman Spectroscopy with Surface Enhanced Raman Spectroscopy(SERS) substrates. SERS can greatly enhance Raman signals allowing for detection of lowconcentration solutions. BPA, a possible carcinogen and hormone disruptor, is a very commonreagent in manufacturing as is known to leech into environmental and consumer products.PFOA, a constituent of polyfluoroalkyl substances (PFAS), can cause kidney and thyroiddisease, …

Alternative Antimicrobial Strategies For Neonatal Infections, Anna Desmond

Theses

Neonatal infections, a significant contributor to infant morbidity and mortality worldwide, are predominantly caused by pathogenic bacteria. Globally, bacterial sepsis accounts for 11.3% of neonatal deaths with Group B Streptococcus (GBS) being the leading cause, along with Escherichia coli, and coagulase negative staphylococci (CoNS). Neonatal infections caused by antibiotic resistant bacteria is now a worldwide concern, further increasing mortality rates and associated healthcare costs. Therefore, there is an urgent need to develop alternative antimicrobial strategies to combat resistance and/or enhance the efficacy of existing antibiotics. The overall aim of this thesis was to investigate alternative antimicrobial strategies for treating and …

Future Scenarios Of Adoption Sustainable Materials By Construction Firms In The United Arab Emirates, Mona Albeshr

Theses

The construction industry accounts for 39% of greenhouse gas emissions, and change is required, especially with the Net Zero initiative. UAE construction companies must evaluate their current positions and update their strategies to support government regulations. Building futuristic communities is crucial for expanding the built environment within the country; however, the types of materials used should account for two aspects: sustainability and climate resilience, and both must be considered whenever these construction companies formulate their strategic response. Hence, scenario planning significantly provides valuable insights to decision-makers in construction companies’ strategic departments to envision four plausible scenarios of the external environment …

Reusing Underutilized Warehouses: Impact Of Iot Integration On Water Conservation In Hydroponic Farming Within Mina Zayed Warehouses In Abu Dhabi, Aysha Benyas

Theses

Urban farming is seen as an essential approach to sustainable development, particularly in arid regions like Abu Dhabi, United Arab Emirates, where limited arable land and water resources pose significant challenges. With an emphasis on reusing underutilized urban spaces like the industrial warehouses in Mina Zayed, this thesis explores the transformative potential of shifting from conventional agricultural methods to advanced smart farming approaches. The main objective of this project is to optimize the effective use of urban areas and improve water conservation in agricultural operations by integrating Internet of Things (IoT) technology into hydroponic systems within these warehouses. The research …

Test Of Strategies For Production And Harvest Of Edible Roots From Hydroponic Plants, Mariam Yaslem Albreiki

Theses

Hydroponic plant cultivation is becoming increasingly popular in the UAE, especially for leafy greens and fruit vegetables. By the end of the growing cycle, the roots of hydroponic plants are usually treated as crop residues, even though roots of several species are potentially edible and could be processed into food or nutraceuticals. Root crops like sweet potato or carrot might even be grown in hydroponic systems for the primary purpose of producing edible fibrous or tuberous roots. However, the use of hydroponic systems for the production of root biomass is not yet common, and most farmers strive to produce plants …