Tesis de maestría
2026
BARAKA, AREEJ KHALED ABDELKARIM
Background: Obesity is associated with peripheral neuropathy and microvascular alterations, even without diabetes. Current techniques to assess peripheral neuropathy include assessment of symptoms, which identify a small subset of patients with neuropathy and neurological examination, quantitative sensory testing (QST)...
Imaging Biomarkers
Obesity
Corneal Confocal Microscopy
Optical Coherence Tomography
Tesis de maestría
2026
MOHAMED, MOHAMED HAMDY MOHAMED ABDELHAFEZ
Deep neural networks derive their strength from hierarchical representation learning, yet conventional training paradigms typically inject supervision only at the final layer, leaving intermediate representations underutilized during both learning and inference. This thesis investigates how intermediate representations...
Deep Neural Networks
Computational Efficiency
Classification Performance
Multiple Output Layers
Tesis de maestría
2026
MALLUHI, RAZAN
Privacy policies are intended to inform users about how their data is collected and used, yet they remain lengthy, complex, and rarely read. While automated policy analysis tools have improved the extraction of data practices, they do not systematically detect contradictions between policy statements and individual use...
Privacy Policies
Preference-Aware Privacy
Policy-Preference Contradiction Detection
DeBERTa-v3
Tesis de maestría
2026
IBRAHIM, ASMAA ADEL BADRELDIN BADRELDIN
Background: Proton pump inhibitors (PPIs) are widely prescribed for acid-related disorders. However, inappropriate use of PPIs and prolonged therapy are associated with an increased risk of adverse drug reactions (ADRs). Evidence regarding the burden of PPI-induced ADRs and their clinical predictors in Qatar remains li...
Medication Safety
Adverse Drug Reactions
Proton Pump Inhibitors
Prescribing Appropriateness
Tesis de maestría
2026
KMAINASI, MOHAMED BAYAN EMAD
Hateful and propagandistic memes require joint reasoning over image and text, since neither modality alone may reveal harmful intent. Thinking-based multimodal large language models (MLLMs) and reinforcement-learning post-training have not yet been combined for meme moderation. We close this gap with a thinking-based M...
Hateful Memes
Multimodal Content Moderation
Multimodal Large Language Models
Propaganda Detection
Tesis de maestría
2026
HUBAISH, SYED MOHAMMED
The intolerable-cost of hydrogen evolution reaction (HER) is a great barrier, so metal-free catalysts emerged as potential solutions, but their activities are inferior besides complexity of preparation. Herein we synthesize carbon nanoflakes derived from carbon cloth doped with boron-atoms (Bx/C), (x= 3.42, 5.04, 9.79,...
Hydrogen Evolution Reaction (HER)
Heteroatom-Doped Carbon Nanomaterials
Boron-Doped Carbon
Green Hydrogen Production
Tesis de maestría
2026
LATHIEF, SHALIMA KATTAPARAMBU MOHAMED
Circadian dysfunction has been linked to respiratory diseases, yet its association with asthma remains unclear. This study examined the association between circadian syndrome (CircS) and asthma and evaluated whether CircS is a stronger predictor of asthma than meta-bolic syndrome (MetS). Data from the United States (Na...
Metabolic Syndrome
Circadian Syndrome
Asthma Risk
Respiratory Epidemiology
Tesis de maestría
2026
PIRES, ADILLA AMIRO
This work presents the development of sustainable, high-performance nanomaterials for oilfield scale management through the synthesis and functionalization of silicon quantum dots (SiQDs) derived from biomass precursors. The study addresses key limitations of conventional scale inhibitors, including environmental toxic...
Green Scale Inhibitors
Silicon Quantum Dots (SiQDs)
Biomass Waste Valorization
Oilfield Flow Assurance
Tesis de maestría
2026
ALSHAMMARI, HAYA M KH
Early fire and smoke detection is critical for protecting lives and infrastructure. While vision-based deep learning methods outperform traditional sensors, they lack principled fusion strategies and remain underexplored in privacy-preserving, distributed settings. This thesis presents two contributions. First, it prop...
Vision Transformers
Federated Learning (FL)
Fire and Smoke Detection
Convolutional Neural Networks (CNNs)
Tesis de maestría
2026
ASHOK, AROMAL
The presence of chlorinated organic pollutants in industrial wastewater poses serious environmental and health risks due to their toxicity and persistence. This thesis investigates the electrochemical degradation of 4-chlorophenol (4-CP) using mixed metal oxide catalysts. The study originated from a review on disinfect...
Electrochemical Oxidation
4-Chlorophenol Degradation
Industrial Wastewater Treatment
Mixed Metal Oxide Catalysts
Resultados provistos por
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