Skip to menu Skip to content Skip to footer
Emeritus Professor Philip Pollett
Emeritus Professor

Philip Pollett

Email: 

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

81 - 100 of 141 works

2003

Journal Article

A new method for analysing the equilibrium and time-dependent behaviour of Markovian models

Pollett, PK and Thompson, MR (2003). A new method for analysing the equilibrium and time-dependent behaviour of Markovian models. Mathematical And Computer Modelling, 38 (11-13), 1409-1418. doi: 10.1016/S0895-7177(03)90144-0

A new method for analysing the equilibrium and time-dependent behaviour of Markovian models

2002

Journal Article

Path integrals for continuous-time Markov chains

Pollett, P. K. and Stefanov, V. T. (2002). Path integrals for continuous-time Markov chains. Journal of Applied Probability, 39 (4), 901-904. doi: 10.1239/jap/1037816029

Path integrals for continuous-time Markov chains

2002

Journal Article

Integrals for continuous-time Markov chains

Pollett, P. K. (2002). Integrals for continuous-time Markov chains. Mathematical Biosciences, 182 (2), 213-225. doi: 10.1016/S0025-5564(02)00161-X

Integrals for continuous-time Markov chains

2002

Journal Article

Two-link approximation schemes for loss networks with linear structure and trunk reservation

Bebbington, M., Pollett, P. and Ziedins, I. (2002). Two-link approximation schemes for loss networks with linear structure and trunk reservation. Telecommunication Systems, 19 (2), 187-207. doi: 10.1023/A:1013394009996

Two-link approximation schemes for loss networks with linear structure and trunk reservation

2002

Book Chapter

Identifying Q-processes with a given finite m-invariant measure

Pollett, P. K. (2002). Identifying Q-processes with a given finite m-invariant measure. Markov Processes and Controlled Markov Chains. (pp. 41-55) edited by Z. Hou, J.A. Filar and A. Chen. The Netherlands: Kluwer. doi: 10.1007/978-1-4613-0265-0_3

Identifying Q-processes with a given finite m-invariant measure

2001

Conference Publication

Diffusion approximations for ecological models

Pollett, P. K. (2001). Diffusion approximations for ecological models. International Congress on Modelling and Simulation, Australian National University, Canberra, 10-13/12/01. Canberra, Australia: Modelling and Simulation Society of Australia and New Zealand.

Diffusion approximations for ecological models

2001

Journal Article

Similar Markov chains

Pollett, P. K. (2001). Similar Markov chains. Journal of Applied Probability, 38A (A), 53-65. doi: 10.1239/jap/1085496591

Similar Markov chains

2001

Conference Publication

Resource allocation in general queueing networks with applications to data networks

Pollett, P. K. (2001). Resource allocation in general queueing networks with applications to data networks. 16th National Conf. of the Aust.Soc. for Operations Research, McLarens On the Lake, McLaren Vale, Sth. Australia, 27th September 2001. Adelaide, South Australia: DSTO (Defence Science and Technology Organisation).

Resource allocation in general queueing networks with applications to data networks

2001

Journal Article

Approximations for the long-term behaviour of an open-population epidemic model

Clancy, D., O'Neill, P. D. and Pollett, P. K. (2001). Approximations for the long-term behaviour of an open-population epidemic model. Methodology and Computing in Applied Probability, 3 (1), 75-95. doi: 10.1023/a:1011418208496

Approximations for the long-term behaviour of an open-population epidemic model

2001

Conference Publication

A reduced load approximation accounting for link interactions in a loss network

Thompson, M. and Pollett, P. K. (2001). A reduced load approximation accounting for link interactions in a loss network. 16th National Conf. of the Aust.Soc. for Operations Research, McLarens On the Lake, McLaren Vale, Sth. Australia, 23 - 26 September 2001. Adelaide, South Australia: DSTO (Defence Science and Technology Organisation).

A reduced load approximation accounting for link interactions in a loss network

2001

Journal Article

Quasi-stationarity in populations that are subject to large-scale mortality or emigration

Pollett, P. K. (2001). Quasi-stationarity in populations that are subject to large-scale mortality or emigration. Environment International, 27 (2-3), 231-236. doi: 10.1016/S0160-4120(01)00092-7

Quasi-stationarity in populations that are subject to large-scale mortality or emigration

2000

Journal Article

Further results on the relationship between mu-invariant measures and quasi-stationary distributions for absorbing continuous-time Markov chains

Elmes, S., Pollett, P. K. and Walker, D. M. (2000). Further results on the relationship between mu-invariant measures and quasi-stationary distributions for absorbing continuous-time Markov chains. Mathematical and Computer Modelling, 31 (10-12), 107-113. doi: 10.1016/S0895-7177(00)00077-7

Further results on the relationship between mu-invariant measures and quasi-stationary distributions for absorbing continuous-time Markov chains

2000

Journal Article

Quasistationarity of continuous-time Markov chains with positive drift

Coolen-Schrijner, P., Hart, A. and Pollett, P (2000). Quasistationarity of continuous-time Markov chains with positive drift. Journal of The Australian Mathematical Society Series B-applied Mathematics, 41 (4), 423-441. doi: 10.1017/S0334270000011735

Quasistationarity of continuous-time Markov chains with positive drift

2000

Journal Article

Quasistationarity in continuous-time Markov chains where absorption is not certain

Darlington, SJ and Pollett, PK (2000). Quasistationarity in continuous-time Markov chains where absorption is not certain. Journal of Applied Probability, 37 (2), 598-600. doi: 10.1239/jap/1014842561

Quasistationarity in continuous-time Markov chains where absorption is not certain

2000

Journal Article

Modelling congestion in closed queueing networks

Pollett, P. K. (2000). Modelling congestion in closed queueing networks. International Transactions in Operational Research, 7 (4-5), 319-330. doi: 10.1111/j.1475-3995.2000.tb00202.x

Modelling congestion in closed queueing networks

2000

Conference Publication

Resource allocation in general queueing networks

Pollett, P. K. (2000). Resource allocation in general queueing networks. Putting OR/Ms Theory into Real Life, Kito Nijyo Club, Sapporo, Japan, 26-28 June 2000. Sapporo, Japan: Operations Research Society of Japan, Hokkaido Chapter.

Resource allocation in general queueing networks

2000

Journal Article

Quasistationary distributions for level-dependent quasi-birth-and-death processes

Bean, N. G., Pollett, P. K. and Taylor, P. (2000). Quasistationary distributions for level-dependent quasi-birth-and-death processes. Communications in Statistics-Stochastic Models, 16 (5), 511-541. doi: 10.1080/15326340008807602

Quasistationary distributions for level-dependent quasi-birth-and-death processes

2000

Journal Article

New methods for determining quasi-stationary distributions for Markov chains

Hart, A. G. and Pollett, P. K. (2000). New methods for determining quasi-stationary distributions for Markov chains. Mathematical And Computer Modelling, 31 (10-12), 143-150. doi: 10.1016/S0895-7177(00)00081-9

New methods for determining quasi-stationary distributions for Markov chains

1999

Journal Article

Quasistationary distributions for continuous time Markov chains when absorption is not certain

Pollett, PK (1999). Quasistationary distributions for continuous time Markov chains when absorption is not certain. Journal of Applied Probability, 36 (1), 268-272. doi: 10.1017/S0021900200017022

Quasistationary distributions for continuous time Markov chains when absorption is not certain

1999

Journal Article

Quasistationary distributions for continuous time Markov chains when absorption is not certain

Pollett, P. K. (1999). Quasistationary distributions for continuous time Markov chains when absorption is not certain. Journal of Applied Probability, 36 (1), 268-272. doi: 10.1239/jap/1032374247

Quasistationary distributions for continuous time Markov chains when absorption is not certain

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

Need help?

For help with finding experts, story ideas and media enquiries, contact our Media team:

communications@uq.edu.au