معرفی
John Betts is a Senior Lecturer in the Department of Data Science & AI at Monash University's Faculty of Information Technology. He serves as Course Director for the Bachelor of Information Technology and previously held roles as Chief Examiner and Lecturer for multiple IT units. His research focuses on computational modelling, optimization, simulation, and data science, with applications in societal polarization, healthcare, and retail inventory systems.
Education:
- Doctor of Philosophy (Operations Research), Monash University (2003)
- Graduate Diploma in Statistics/Operations Research, RMIT University (1996)
- Postgraduate Diploma in Mathematics and Mathematics Education, University of Melbourne (1992)
- Diploma in Education, Monash University (1984)
- Bachelor of Arts, Monash University (1983)
Research Interests: Dr. Betts explores computational methods to address variability in complex systems, including agent-based modeling for societal polarization, optimization in healthcare (e.g., prostate brachytherapy), and simulation-driven decision-making in retail and transportation. His work contributes to UN SDGs related to education and sustainable cities.
Projects:
- Leading the Optimising multi-item retail inventories project (2021–2026) focusing on inventory optimization algorithms.
- Contributing to the Biofocussed Prostate Cancer RadioTherapy (BiRT) project (2017–2021), developing personalized radiation therapy plans.
- Investigating Societal Polarization dynamics via agent-based models and hate crime measurement frameworks.
Advising & Grants: Dr. Betts has secured $2.5M+ in research funding, including ARC grants for retail optimization and prostate cancer treatment planning. He advises on interdisciplinary projects spanning computer science, healthcare, and social sciences.
Labs/Teams: Collaborates with Monash’s Data Science Institute and the Australian Research Data Commons, contributing to the Temporal Networks Security group and Health Informatics initiatives.
