Graduate Students | Hamoud Aljamaan

Shikah Alsunaidi PhD Dec 2025 “Lifecycle-Aware and Drift-Resilient Machine Learning for Smart Contract Vulnerability Detection”
Rana Sandouka MSc Nov 2025 “Transfer Learning Approaches for Cross-Language Code Smell Detection”
Rana Baamer MSc Sep 2025 “Enhanced Saudi Stock Prices Forecasting with Technical Indicators and Deep Learning Ensembles”
Amal Alazba PhD Dec 2023 “A Framework for Software Code and Model Smell Detection through Self Supervised Learning”
Amani Alqarni MSc Dec 2023 “Leveraging Ensemble Learning with Generative Adversarial Networks in Imbalanced Software Defects Prediction”
Lama Albakhat MSc May 2022 “Robustness and Stability Analyses of Ensemble Learning Models in Android Malware Detection”
Nouf Alturayeif MSc Dec 2021 “Aspect-Based Sentiment Analysis of Apps Reviews Using Supervised Machine Learning”
Kazi Ekramul Hoque MSc Dec 2021 “Hyperparameter Tuning Impact on Machine Learning Forecasting Performance within the Saudi Stock Market”
Ahmed AlShaaby MSc Dec 2019 “Software Bad Smells Prediction Using Advanced Machine Learning Techniques”