Computing
Recent Submissions
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ENHANCING UAV SECURITY: A HYBRID MACHINE LEARNING APPROACH TO INTRUSION DETECTION IN UAV NETWORKS
(2026 , Master Thesis)The widespread integration of Unmanned Aerial Vehicle (UAV) in intelligent transportation, military reconnaissance, and critical infrastructure monitoring has introduced heightened vulnerabilities to sophisticated ... -
ENHANCING ADAPTABILITY AND SCALABILITY IN DISTRIBUTED STORAGE THROUGH REINFORCEMENT LEARNING-BASED DATA PLACEMENT STRATEGIES
(2026 , Master Thesis)The exponential growth of data and increasing workload complexity pose major challenges for distributed and hierarchical storage systems. Enterprises and cloud providers must balance cost, latency, and availability while ... -
ROBUST ANDROID MALWARE DETECTION AGAINST OBFUSCATION AND ADVERSARIAL ATTACKS USING RGB MARKOV IMAGES AND DEEP ENSEMBLE LEARNING
(2026 , Master Thesis)Android malware detection faces persistent challenges as attackers increasingly employ obfuscation and adversarial manipulation to evade conventional static and signature-based defenses. Existing detectors often fail to ... -
ADVANCING SECURE COMMUNICATIONS IN HIGH-MOBILITY ENVIRONMENTS: INTEGRATING QUANTUM KEY DISTRIBUTION, FREE SPACE OPTICS, AND HIGH-ALTITUDE PLATFORMS FOR ENHANCED IOT NETWORKS
(2026 , Dissertation)The emergence of massive, latency-sensitive Internet of Things (IoT) and high-mobility services in 6G networks amplifies long-standing limits of radio systems (bandwidth, interference, Doppler fragility) and exposes classical ... -
MEDIATED REALITY-BASED DIRECTIONAL VISUAL GUIDANCE FOR 360° IMMERSIVE ROBOT TELEOPERATION IN SEARCH AND RESCUE SCENARIOS
(2026 , Master Thesis)Robot teleoperation plays a crucial role in Search and Rescue (SAR) scenarios where operators must perform multiple tasks in unpredictable, high-stress environments. Immersive technologies enhance spatial awareness and ... -
EXPLAINABLE BREAST CANCER DETECTION IN MAMMOGRAMS USING LIGHTWEIGHT EFFICIENTNET-B0 WITH GRAD-CAM AND LIME
(2025 , Professional Masters Project)Accurate and interpretable breast cancer detection is essential for early diagnosis, yet many deep learning models remain impractical for real-world clinical deployment due to their complexity, resource demands, or lack ... -
SMART PATH PLANNING FOR MOBILE MULTI-TARGET VISITATION IN UAV MISSIONS IN STOCHASTIC AND ADVERSARIAL ENVIRONMENTS
(2024 , Master Thesis)Search and rescue operations in challenging environments like disaster sites and dense forests are often highly costly in terms of time and human resources. These environments pose significant risks to human operators and ... -
OPTIMIZED RESOURCE ALLOCATION AND SECURITY ENHANCEMENT IN DRONE-ASSISTED NETWORKS
(2025 , Master Thesis)The rapid evolution of Open Radio Access Networks (O-RAN) has introduced a transformative architecture that promotes openness, flexibility, and cost efficiency in modern telecommunications. However, the open and multi-vendor ... -
FINE-GRAINED TAINT TRACING IN CRYPTOCURRENCIES: A SUB-RANGE-BASED UTXO MODEL WITH VERKLE TREE PROOFS
(2025 , Dissertation)Cryptocurrency taint analysis is critical for tracking illicit funds, but existing methods either over-taint legitimate coins or struggle with scalability. This thesis proposes a finegrained taint tracing model for UTXOs ... -
AUTOMATING INFORMATION EXTRACTION FROM PEROVSKITE SOLAR CELLS LITERATURE USING LARGE LANGUAGE MODELS
(2025 , Master Thesis)With the rapid advancement of perovskite solar cells (PSCs) research, efficiently extracting structured data from scientific literature has become essential for accelerating materials discovery and development. PSCs studies ... -
RELEVANCE SCORING OF ARABIC AND ENGLISH WRITTEN ESSAYS WITH DENSE RETRIEVAL
(2025 , Master Thesis)Automated Essay Scoring automates the grading process of essays, providing a great advantage for improving the writing proficiency of students. While holistic essay scoring research is prevalent, a noticeable gap exists ... -
AI-POWERED DIGITAL BEAMFORMING FOR 6G COMMUNICATIONS: TOWARDS GENERALIZED ADAPTIVE BEAM SELECTION
(2025 , Master Thesis)The evolution of wireless communication networks toward sixth-generation (6G) systems presents significant challenges in achieving efficient and adaptive beamforming, particularly in millimeter-wave (mmWave) and sub-terahertz ... -
AUTOMATED DETECTION AND ASSESSMENT OF DEVELOPMENTAL DYSGRAPHIA: ADVANCED MACHINE LEARNING FRAMEWORKS AND MULTIMODAL ANALYSIS
(2025 , Dissertation)Dysgraphia, a learning disability affecting handwriting, presents significant challenges in diagnosis due to its complex interplay of cognitive, motor, and perceptual impairments. Existing automated approaches predominantly ... -
DYNAMIC ALGORITHM FOR TIP SELECTION IN MULTI-AGENT BLOCKCHAIN ENVIRONMENTS: OPTIMIZATION AND ANALYSIS
(2025 , Dissertation)The rise of decentralized technologies has brought forward novel challenges in maintaining fairness, efficiency, and scalability in distributed ledger protocols. The Internet of Things Applications (IOTA), a Directed Acyclic ... -
BACKGROUND LINKING OF NEWS ARTICLES
(2025 , Dissertation)Nowadays, it is very rare to find a single news article that solely contains all the information about a certain subject or event. This dissertation focuses on addressing the news background linking problem, which aims to ... -
MULTI-TASK LEARNING MODEL FOR MOBILE MALWARE DETECTION AND CLASSIFICATION
(2025 , Master Thesis)The rapid growth of mobile devices, especially those running the Android operating system, has made them attractive targets for cybercriminals. The increasing sophistication of mobile malware, including zero-day threats, ... -
MULTI-LAYER ATTACK DETECTION MODEL FOR BLUETOOTH-CONNECTED DEVICES IN SMART HEALTHCARE SYSTEM
(2023 , Master Thesis)Internet of Things (IoT) is an interconnected network of heterogeneous things through the Internet. The current and next generation of smart healthcare systems are dependent on Internet of Medical things (IoMT) devices ... -
AI-EMPOWERED UAVS FOR RAPID DISASTER RESPONSE AND MANAGEMENT
(2024 , Master Thesis)Efficient disaster response and survivor detection are essential in minimizing casualties and mitigating the impact of disastrous events. This thesis presents an innovative approach to addressing these challenges through ... -
A DEEP REINFORCEMENT LEARNING-ENABLED DYNAMIC REDEPLOYMENT SYSTEM FOR MOBILE AMBULANCES IN QATAR
(2024 , Master Thesis)Efficient allocation of ambulances is crucial for Emergency Medical Services (EMS) to respond promptly and deliver life-saving care on time. The challenge lies in the ambulance redeployment problem, which aims to devise ... -
TOWARDS A SAFER METAVERSE: ANOMALY DETECTION IN AVATAR ACTIONS USING HUMAN ACTION TRANSFER LEARNING
(2024 , Master Thesis)The Metaverse has captured global attention as a potential frontier for the internet's future. Avatar actions within this immersive digital realm mirror real-world behaviors, introducing safety concerns like cyberbullying ...
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