Mr Angus Lewis

Grant-Funded Researcher (B)

Optimisation and Stabilisation

Integration Management Office


I am a postdoctoral researcher in applied probability with interests in stochastic processes, in particular matrix-analytic methods, matrix-exponential distributions, Markov-modulated processes, stochastic modelling and filtering. I also have interests in state-space models, optimisation, and data science.

Current interests include:

  • The application and theory of matrix-analytic methods and matrix-exponential distributions. In particular, using the probabilistic or physical interpretations of processes to analyse them.
  • Modelling shark movements to estimate life histories, incorporating stochastic models and data.
  • Stochastic models of the spread of epidemic disease.

 

Date Position Institution name
2026 - 2027 Postdoctoroal Researcher University of Adelaide
2024 - 2025 Lecturer University of Adelaide

Date Institution name Country Title
2023 University of Adelaide Australia PhD
2018 University of Adelaide Australia Master of Philosophy

Year Citation
2022 Bean, N., Lewis, A., Nguyen, G. T., O'Reilly, M. M., & Sunkara, V. (2022). A Discontinuous Galerkin Method for Approximating the Stationary Distribution of Stochastic Fluid-Fluid Processes. Methodology and Computing in Applied Probability, 24(4), 2823-2864.
DOI Scopus2 WoS2
2020 Lewis, A., Bean, N., & Nguyen, G. (2020). Bayesian estimation of trend components within Markovian
regime-switching models for wholesale electricity prices: an application to
the South Australian wholesale electricity market.
2019 Bean, N., Lewis, A., & Nguyen, G. (2019). Estimation of Markovian-regime-switching models with independent regimes.

Year Citation
2023 Lewis, A. (2023). Approximating fluid queues. (PhD Thesis).
2019 Lewis, A. (2019). Inference of Markovian-regime-switching models with application to South Australian electricity prices. (Master's Thesis).

Year Citation
2025 Bean, N., & Lewis, A. (2025). Approximating fluid queues with quasi birth-and-death processes with
rational arrival process components.

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