The Master’s thesis of Ali Mahmoud Assi was defended at the Institute of Informatics for Graduate Studies on Monday, February 3, 2025.
The study, in the Computer Science major, was titled: “Clustering-Based Quantum Cat Swarm Optimization for Multi-omics Data Fusion and Cancer Subtype Classification.”
The study aims to improve a robust and efficient cancer subtype classification system by leveraging advanced multi-omics clustering techniques combined with Quantum Cat Swarm Optimization (QCSO) and developing a feature selection method. This increases the relevance and accuracy of cancer subtype classification using a robust multi-omics data clustering framework.
Ali Mahmoud Assi earned his Master’s degree with distinction in Computer Science.
