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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

21 - 40 of 141 works

2013

Journal Article

Interaction between habitat quality and an Allee-like effect in metapopulations

McVinish, R. and Pollett, P. K. (2013). Interaction between habitat quality and an Allee-like effect in metapopulations. Ecological Modelling, 249, 84-89. doi: 10.1016/j.ecolmodel.2012.07.001

Interaction between habitat quality and an Allee-like effect in metapopulations

2013

Journal Article

The deterministic limit of a stochastic logistic model with individual variation

McVinish, R. and Pollett, P. K. (2013). The deterministic limit of a stochastic logistic model with individual variation. Mathematical Biosciences, 241 (1), 109-114. doi: 10.1016/j.mbs.2012.10.001

The deterministic limit of a stochastic logistic model with individual variation

2012

Journal Article

Total variation approximation for quasi-equilibrium distributions, II

Barbour, A. D. and Pollett, P. K. (2012). Total variation approximation for quasi-equilibrium distributions, II. Stochastic Processes and Their Applications, 122 (11), 3740-3756. doi: 10.1016/j.spa.2012.07.004

Total variation approximation for quasi-equilibrium distributions, II

2012

Journal Article

Chain binomial models and binomial autoregressive processes

Weiss, Christian H. and Pollett, Philip K. (2012). Chain binomial models and binomial autoregressive processes. Biometrics, 68 (3), 815-824. doi: 10.1111/j.1541-0420.2011.01716.x

Chain binomial models and binomial autoregressive processes

2012

Journal Article

A central limit theorem for a discrete-time SIS model with individual variation

McVinish, R. and Pollett, P.K. (2012). A central limit theorem for a discrete-time SIS model with individual variation. Journal of Applied Probability, 49 (2), 521-530. doi: 10.1239/jap/1339878802

A central limit theorem for a discrete-time SIS model with individual variation

2012

Journal Article

The limiting behaviour of a mainland-island metapopulation

McVinish, R. and Pollett, P. K. (2012). The limiting behaviour of a mainland-island metapopulation. Journal of Mathematical Biology, 64 (5), 775-801. doi: 10.1007/s00285-011-0429-1

The limiting behaviour of a mainland-island metapopulation

2012

Journal Article

Hodges-Lehmann scale estimator for Cauchy distribution

Kravchuk, O.Y. and Pollett, P.K. (2012). Hodges-Lehmann scale estimator for Cauchy distribution. Communications in Statistics-Theory and Methods, 41 (20), 3621-3632. doi: 10.1080/03610926.2011.563016

Hodges-Lehmann scale estimator for Cauchy distribution

2011

Conference Publication

Interaction between habitat quality and an Allee-like effect in metapopulations

McVinish, R. and Pollett, P. K. (2011). Interaction between habitat quality and an Allee-like effect in metapopulations. 19th International Congress on Modelling and Simulation (MODSIM2011), Perth, Australia, 12-16 December 2011. Perth, Australia: Modelling and Simulation Society of Australia and New Zealand.

Interaction between habitat quality and an Allee-like effect in metapopulations

2011

Conference Publication

Fault modelling using a mixture of conditional Gaussian transitions

Jovanovic, Dejan P., McVinish, Ross S. and Pollett, Philip K. (2011). Fault modelling using a mixture of conditional Gaussian transitions. 19th Mediterranean Conference on Control and Automation, Corfu, Greece, 20-23 June 2011. Piscataway, NJ, United States: IEEE. doi: 10.1109/MED.2011.5983194

Fault modelling using a mixture of conditional Gaussian transitions

2011

Conference Publication

Fault diagnosis using consensus of Markov chains

Jovanovic, Dejan P. and Pollett, Philip K. (2011). Fault diagnosis using consensus of Markov chains. 3rd International Workshop on Dependable Control of Discrete Systems, Saarbrucken, Germany, 15-17 June 2011. Piscataway, NJ, United States: IEEE. doi: 10.1109/DCDS.2011.5970320

Fault diagnosis using consensus of Markov chains

2010

Journal Article

Limits of large metapopulations with patch-dependent extinction probabilities

McVinish, R. and Pollett, P. K. (2010). Limits of large metapopulations with patch-dependent extinction probabilities. Advances in Applied Probability, 42 (4), 1172-1186. doi: 10.1239/aap/1293113156

Limits of large metapopulations with patch-dependent extinction probabilities

2010

Journal Article

Total variation approximation for quasi-stationary distributions

Barbour, A. D. and Pollett, P. K. (2010). Total variation approximation for quasi-stationary distributions. Journal of Applied Probability, 47 (4), 934-946. doi: 10.1239/jap/1294170510

Total variation approximation for quasi-stationary distributions

2010

Journal Article

Locally optimal designs for the simple death process

Pagendam, D. E. and Pollett, P. K. (2010). Locally optimal designs for the simple death process. Journal of Statistical Planning and Inference, 140 (11), 3096-3105. doi: 10.1016/j.jspi.2010.04.017

Locally optimal designs for the simple death process

2010

Journal Article

Analytical methods for a stochastic mainland-island metapopulation model

Buckley, F. M. and Pollett, P. K. (2010). Analytical methods for a stochastic mainland-island metapopulation model. Ecological Modelling, 221 (21), 2526-2530. doi: 10.1016/j.ecolmodel.2010.02.017

Analytical methods for a stochastic mainland-island metapopulation model

2010

Journal Article

Preface to the selected papers on modelling and control of metapopulation networks

Buckley, F. M., Nicol, S. and Pollett, P. K. (2010). Preface to the selected papers on modelling and control of metapopulation networks. Ecological Modelling, 221 (21), 2512-2514. doi: 10.1016/j.ecolmodel.2010.05.017

Preface to the selected papers on modelling and control of metapopulation networks

2010

Journal Article

Robust optimal observation of a metapopulation

Pagendam, D. E. and Pollett, P. K. (2010). Robust optimal observation of a metapopulation. Ecological Modelling, 221 (21), 2521-2525. doi: 10.1016/j.ecolmodel.2010.02.018

Robust optimal observation of a metapopulation

2010

Journal Article

Simple rules for ranking and optimally managing metapopulations

Ross, J. V. and Pollett, P. K. (2010). Simple rules for ranking and optimally managing metapopulations. Ecological Modelling, 221 (21), 2515-2520. doi: 10.1016/j.ecolmodel.2010.02.016

Simple rules for ranking and optimally managing metapopulations

2010

Journal Article

Uniqueness, extinction and explosivity of generalised Markov branching processes with pairwise interaction

Chen, AY, Pollett, P, Li, JP and Zhang, HJ (2010). Uniqueness, extinction and explosivity of generalised Markov branching processes with pairwise interaction. Methodology And Computing In Applied Probability, 12 (3), 511-531. doi: 10.1007/s11009-009-9121-y

Uniqueness, extinction and explosivity of generalised Markov branching processes with pairwise interaction

2010

Journal Article

Markovian bulk-arrival and bulk-service queues with state-dependent control

Chen, Anyue, Pollett, Phil, Li, Junping and Zhang, Hanjun (2010). Markovian bulk-arrival and bulk-service queues with state-dependent control. Queueing Systems, 64 (3), 267-304. doi: 10.1007/s11134-009-9162-5

Markovian bulk-arrival and bulk-service queues with state-dependent control

2010

Journal Article

Modelling population processes with random initial conditions

Pollett, P. K., Dooley, A. H. and Ross, J. V. (2010). Modelling population processes with random initial conditions. Mathematical Biosciences, 223 (2), 142-150. doi: 10.1016/j.mbs.2009.11.008

Modelling population processes with random initial conditions

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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