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of Western Australia (2015), Predicting Pump Failure using Joint Models with Longitudinal and Time-to-event Data (Unpublished), Supervisor: Dr Edward Cripps, Co-Supervisor: Professor Melinda Hodkiewicz Academic Achievemen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)
Prizes, awards and special recognition
Winner, Poster Competition, ACEMS retreat was awarded to Anthony Ebert. Awarded from the ACEMS.
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.