معرفی
Sam O'Neill is a Lecturer in Computer Science at the College of Science and Engineering. His academic work focuses on applied computational methods across engineering and industrial domains, with strong affiliations to computer science and interdisciplinary research teams.
Research interests span:
- Machine Learning & AI: Development of microservice frameworks for biomedical research and reinforcement learning systems
- Industrial & Nuclear Engineering: Modular reactor design, off-site construction optimization, and plant layout
- Operations Research: Network flow modeling, traffic equilibrium, and MILP applications
- Applied Mathematics: Algorithm design and sequence analysis
Publication analysis reveals three primary thematic clusters:
- Recent focus (2021-2024) on modular nuclear systems and machine learning microservices
- Sustained work in optimization techniques (MILP formulations, network flows)
- Foundational research in algorithmic learning theory and mathematical sequences
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