Thesis title: Online learning of Dynamic Queueing Systems
Overall objective: Develop models for real-time inference of dynamic queueing networks to support planning and day-to-day operations decision-making.
- Queueing Theory
- Online learning
- Video analytics
PhD (In progress), Queensland University of Technology (2016-Present), Online learning of Dynamic Queueing Systems
Supervisors: Professor Kerrie Mengersen, Dr Paul Wu, Professor Fabrizio Ruggeri
Honours in Statistics, University of Western Australia (2015), Predicting Pump Failure using Joint Models with Longitudinal and Time-to-event Data
Supervisor: Dr Edward Cripps, Co-Supervisor: Professor Melinda Hodkiewicz
Academic Achievement Award for achieving High Distinctions in all subjects (Semester 1)
Bachelor of Science (Statistics), Australian National University (2013-2014)
Master of Philosophy (Engineering), The University of Sydney (2010-2013), Synthesis, Preparation and Assembly of Carbon Nanotube-Based Electrode Materials
Supervisors: Professor Andrew Harris
Bachelor of Engineering (Chemical), University of Sydney (2005-2009)
Anthony Ebert, Paul Wu, Kerrie Mengersen, Fabrizio Ruggeri (2017). Computationally Efficient Simulation of Queues: The R Package queuecomputer. arXiv preprint arXiv:1703.02151.
Liu, J, Ebert, A, Variava, M, Dehghani, F & Harris, A (2010). Surface modication and Pt functionalisation of multi-walled carbon nanotubes in methanol expanded with supercritical CO2, Chemical Engineering Journal, vol. 165, no. 3, pp. 974-979