Thesis title: Dynamic Queueing Networks: Simulation, Estimation and Prediction
Overall objective: Develop models for real-time inference of dynamic queueing networks to support planning and day-to-day operations decision-making.
Author of R package queuecomputer (CRAN and github)
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
Approximate Bayesian Computation
Kernel density estimation
multi-criteria decision making
Real-time data analysis
Reproducing kernel Hilbert space
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of Western Australia (2015), Predicting Pump Failure using Joint Models with Longitudinal and Time-to-event Data (Unpublished), Supervisor: Dr Edward Cripps, Co-Supervisor: Professor Melinda Hodkiewicz Academic Achievemen
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)
Invited talks, refereed proceedings and other conference outputs
Ebert, A., Wu P., Mengersen KL., & Ruggeri F.
(2018). A Review of Distances on Functional Datasets for Likelihood-Free Inference. Joint International Society for Clinical Biostatistics and Australian Statistical Conference 2018.