Moegamad Seboa
Biography
I hold an Honours degree in Computer Science (2022) and am currently pursuing a Master of Science in Computer Science. My formal research journey in quantum computing began during my Honours year under the supervision of Aleksandar Radovanovic. My Honours research focused on quantum random number generation, involving a comparative analysis of classical and quantum random number generators from both theoretical and practical perspectives.
Following my Honours degree, I worked in industry in data science and analytics engineering. This experience strengthened my understanding of artificial intelligence, large-scale data systems, and the limitations of classical computational architectures. It was during this time that my interest in the intersection of AI and quantum computing deepened, motivating my return to academia.
Research
My current MSc research, titled “Algorithms and Problem Domains for Fully Quantum Machine Learning,” focuses on developing algorithms that operate entirely on quantum computers rather than hybrid classical–quantum systems. My work combines theoretical analysis, algorithm design, simulation, and experimentation using frameworks such as Qiskit and PennyLane, including experiments on IBM’s quantum cloud infrastructure.
Awards & presentations
Oral Presentation, SACAIR 2025 Unconference.
“Algorithms and Problem Domains for fully Quantum Machine Learning”