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Emeritus Professor Philip Pollett
Emeritus Professor

Philip Pollett

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Overview

Background

Emeritus Professor Phil Pollett has research interests in Markov process theory, and mathematical modelling in population biology, ecology, epidemiology, chemical kinetics and telecommunications.

He holds an honours degree in Applied Mathematics from the University of Adelaide and a PhD degree in Applied Probability from the University of Cambridge. He joined the then Department of Mathematics in 1987 as Senior Lecturer, having previously held positions at the University of Adelaide, Murdoch University and University College of Cardiff. He was promoted to Reader in 1993 and to Professor in 2004.

His research is recognized internationally for significant contributions to Markov process theory, and mathematical modelling. This research has been supported by 12 ARC Large/Discovery/Linkage grants. He is a Chief Investigator within the ARC Centre of Excellence for Mathematical and Statistics Frontiers (ACEMS), and was a Chief Investigator (2002-2014) within the ARC Centre of Excellence for Mathematics and Statistics of Complex Systems (MASCOS). In 1993, he was awarded the Moran Medal by the Australian Academy of Science for distinguished research in Applied Probability.

Phil Pollett has served on the editorial boards of the Journal of the Australian Mathematical Society, Methodology and Computing in Applied Probability, Stochastic Models, and The Annals of Applied Probability, and has served on the organizing committees of several major international conferences. He devised the Probability Web, recognized as the main Web resource for probabilists throughout the world, and one of the first academic web sites. He has a strong record of innovation in undergraduate teaching, and has guided the development of many postgraduate students and postdoctoral fellows through supervision and collaboration.

Availability

Emeritus Professor Philip Pollett is:
Not available for supervision
Media expert

Fields of research

Qualifications

  • Bachelor (Honours) of Science (Advanced), University of Adelaide
  • Doctor of Philosophy, University of Cambridge
  • Australian Mathematical Society, Australian Mathematical Society

Works

Search Professor Philip Pollett’s works on UQ eSpace

141 works between 1982 and 2025

1 - 20 of 141 works

2025

Journal Article

Hawkes Models and Their Applications

Laub, Patrick J., Lee, Young, Pollett, Philip K. and Taimre, Thomas (2025). Hawkes Models and Their Applications. Annual Review of Statistics and Its Application, 12 (1), 233-258. doi: 10.1146/annurev-statistics-112723-034304

Hawkes Models and Their Applications

2024

Journal Article

An SIS epidemic model with individual variation

Pollett, Philip K. (2024). An SIS epidemic model with individual variation. Mathematical Biosciences and Engineering, 21 (4), 5446-5455. doi: 10.3934/mbe.2024240

An SIS epidemic model with individual variation

2022

Journal Article

A model for cell proliferation in a developing organism

Pollett, Philip K., Tafakori, Laleh and Taylor, Peter G. (2022). A model for cell proliferation in a developing organism. Journal of Mathematical Biology, 84 (7) 63, 1-22. doi: 10.1007/s00285-022-01769-5

A model for cell proliferation in a developing organism

2022

Journal Article

Quasi-stationary distributions for queueing and other models

Pollett, Phil (2022). Quasi-stationary distributions for queueing and other models. Queueing Systems, 100 (3-4), 241-243. doi: 10.1007/s11134-022-09750-1

Quasi-stationary distributions for queueing and other models

2020

Journal Article

Normal approximations for discrete-time occupancy processes

Hodgkinson, Liam, McVinish, Ross and Pollett, Philip K. (2020). Normal approximations for discrete-time occupancy processes. Stochastic Processes and their Applications, 130 (10), 6414-6444. doi: 10.1016/j.spa.2020.05.016

Normal approximations for discrete-time occupancy processes

2018

Journal Article

Local approximation of a metapopulation's equilibrium

Barbour, A. D., McVinish, R. and Pollett, P. K. (2018). Local approximation of a metapopulation's equilibrium. Journal of Mathematical Biology, 77 (3), 1-29. doi: 10.1007/s00285-018-1231-0

Local approximation of a metapopulation's equilibrium

2016

Journal Article

A metapopulation model with Markovian landscape dynamics

McVinish, R., Pollett, P. K. and Chan, Y. S. (2016). A metapopulation model with Markovian landscape dynamics. Theoretical Population Biology, 112, 80-96. doi: 10.1016/j.tpb.2016.08.005

A metapopulation model with Markovian landscape dynamics

2016

Journal Article

Limiting the spread of disease through altered migration patterns

McVinish, R., Pollett, P. K. and Shausan, A. (2016). Limiting the spread of disease through altered migration patterns. Journal of Theoretical Biology, 393, 60-66. doi: 10.1016/j.jtbi.2015.12.019

Limiting the spread of disease through altered migration patterns

2015

Journal Article

Connecting deterministic and stochastic metapopulation models

Barbour, A.D, McVinish, Ross and Pollett, Philip K (2015). Connecting deterministic and stochastic metapopulation models. Journal of Mathematical Biology, 71 (6), 1481-1504. doi: 10.1007/s00285-015-0865-4

Connecting deterministic and stochastic metapopulation models

2015

Journal Article

Indirect detection of genetic dispersal (movement and breeding events) through pedigree analysis of dugong populations in southern Queensland, Australia

Cope R. C., Pollett, P. K., Lanyon, J. M. and Seddon, J. M. (2015). Indirect detection of genetic dispersal (movement and breeding events) through pedigree analysis of dugong populations in southern Queensland, Australia. Biological Conservation, 181, 91-101. doi: 10.1016/j.biocon.2014.11.011

Indirect detection of genetic dispersal (movement and breeding events) through pedigree analysis of dugong populations in southern Queensland, Australia

2014

Journal Article

Development and testing of a genetic marker-based pedigree reconstruction system 'PR-genie' incorporating size-class data

Cope, Robert C., Lanyon, Janet M., Seddon, Jennifer M. and Pollett, Philip K. (2014). Development and testing of a genetic marker-based pedigree reconstruction system 'PR-genie' incorporating size-class data. Molecular Ecology Resources, 14 (4), 857-870. doi: 10.1111/1755-0998.12219

Development and testing of a genetic marker-based pedigree reconstruction system 'PR-genie' incorporating size-class data

2014

Journal Article

A closing scheme for finding almost-invariant sets in open dynamical systems

Froyland, Gary, Pollett, Philip K. and Stewart, Robyn M. (2014). A closing scheme for finding almost-invariant sets in open dynamical systems. Journal of Computational Dynamics, 1 (1), 135-162. doi: 10.3934/jcd.2014.1.135

A closing scheme for finding almost-invariant sets in open dynamical systems

2014

Journal Article

Binomial autoregressive processes with density-dependent thinning

Weiss, Christian H. and Pollett, Philip K. (2014). Binomial autoregressive processes with density-dependent thinning. Journal of Time Series Analysis, 35 (2), 115-132. doi: 10.1002/jtsa.12054

Binomial autoregressive processes with density-dependent thinning

2014

Book Chapter

Distributed fault detection using consensus of Markov chains

Jovanović, Degan P. and Pollett, Philip K. (2014). Distributed fault detection using consensus of Markov chains. Optimization and control methods in industrial engineering and construction. (pp. 85-105) edited by Honglei Xu and Xiangyu Wang. Dordrecht, The Netherlands: Springer. doi: 10.1007/978-94-017-8044-5_6

Distributed fault detection using consensus of Markov chains

2014

Journal Article

A model for a spatially structured metapopulation accounting for within patch dynamics

Smith, Andrew G., McVinish, Ross and Pollett, Philip K. (2014). A model for a spatially structured metapopulation accounting for within patch dynamics. Mathematical Biosciences, 247 (1), 69-79. doi: 10.1016/j.mbs.2013.11.001

A model for a spatially structured metapopulation accounting for within patch dynamics

2014

Journal Article

The limiting behaviour of Hanski's incidence function metapopulation model

McVinish, R. and Pollett, P. K. (2014). The limiting behaviour of Hanski's incidence function metapopulation model. Journal of Applied Probability, 51 (2), 297-316. doi: 10.1239/jap/1402578626

The limiting behaviour of Hanski's incidence function metapopulation model

2013

Journal Article

Quasi-stationary distributions for discrete-state models

van Doorn, Erik A. and Pollett, Philip K. (2013). Quasi-stationary distributions for discrete-state models. European Journal of Operational Research, 230 (1), 1-14. doi: 10.1016/j.ejor.2013.01.032

Quasi-stationary distributions for discrete-state models

2013

Journal Article

The limiting behaviour of a stochastic patch occupancy model

McVinish, R. and Pollett, P. K. (2013). The limiting behaviour of a stochastic patch occupancy model. Journal of Mathematical Biology, 67 (3), 693-716. doi: 10.1007/s00285-012-0568-z

The limiting behaviour of a stochastic patch occupancy model

2013

Journal Article

Optimal design of experimental epidemics

Pagendam, D. E. and Pollett, P. K. (2013). Optimal design of experimental epidemics. Journal of Statistical Planning and Inference, 143 (3), 563-572. doi: 10.1016/j.jspi.2012.09.011

Optimal design of experimental epidemics

2013

Journal Article

Special issue: modelling for decision making in ecological systems - preface

Bean, N. G., Pollett, P. K., Ross, J. V. and Taylor, P. G. (2013). Special issue: modelling for decision making in ecological systems - preface. Ecological Modelling, 249, 1-2. doi: 10.1016/j.ecolmodel.2012.07.034

Special issue: modelling for decision making in ecological systems - preface

Funding

Past funding

  • 2015 - 2018
    Random discrete structures: approximations and applications (ARC Discovery Project administered by The University of Melbourne)
    University of Melbourne
    Open grant
  • 2014 - 2021
    ARC Centre of Excellence for Mathematical and Statistical Frontiers of Big Data, Big Models, New Insights (University of Melbourne lead institution)
    University of Melbourne
    Open grant
  • 2014
    Understanding the effects of individual variation on population dynamics
    ARC Discovery Projects
    Open grant
  • 2012 - 2015
    Random network models with applications in biology (ARC Discovery Project administered by the University of Melbourne)
    University of Melbourne
    Open grant
  • 2011 - 2013
    New methods for improving active adaptive management in biological systems (ARC Discovery Project administered by The University of Adelaide)
    University of Adelaide
    Open grant
  • 2009 - 2012
    Animal movement between populations deduced from family trees - a test case on dugongs in southern Queensland
    ARC Linkage Projects
    Open grant
  • 2008 - 2009
    Strategies for managing invasive species in space: deciding whether to eradicate, contain or control
    University of Melbourne
    Open grant
  • 2003 - 2013
    ARC Centre of Excellence for Mathematical and Statistical Modelling of Complex Systems (Univ Melbourne_lead institution)
    University of Melbourne
    Open grant
  • 2001 - 2003
    Analytical and Computational Methods for Studying Explosive Random Processes
    ARC Australian Research Council (Large grants)
    Open grant
  • 1999
    Travel scheme for collaborative research by Dr P Pollett at Victoria University of Wellington New Zealand
    UQ Travel Grants Scheme
    Open grant
  • 1997 - 1999
    Analytical and computational methods for assessing the performance of telecommunications networks
    ARC Australian Research Council (Large grants)
    Open grant
  • 1995 - 1997
    Analytical and computational methods for modelling evanescent random processes
    ARC Australian Research Council (Large grants)
    Open grant

Supervision

Availability

Emeritus Professor Philip Pollett is:
Not available for supervision

Supervision history

Completed supervision

Media

Enquiries

Contact Emeritus Professor Philip Pollett directly for media enquiries about:

  • Gambling - mathematics
  • Lotto - mathematics
  • Markov chains - mathematics
  • Probability - mathematics
  • Stochastic processes - mathematics

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