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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

41 - 60 of 141 works

2010

Journal Article

Limit theorems for discrete-time metapopulation models

Buckley, Fionnuala M. and Pollett, Philip K. (2010). Limit theorems for discrete-time metapopulation models. Probability Surveys, 7 (1), 53-83. doi: 10.1214/10-PS158

Limit theorems for discrete-time metapopulation models

2009

Conference Publication

Analytical methods for a stochastic mainland-island metapopulation model

Buckley, F. M. and Pollett, P. K. (2009). Analytical methods for a stochastic mainland-island metapopulation model.

Analytical methods for a stochastic mainland-island metapopulation model

2009

Journal Article

Optimal sampling and problematic likelihood functions in a simple population model

Pagendam, D. E. and Pollett, P. K. (2009). Optimal sampling and problematic likelihood functions in a simple population model. Environmental Modeling and Assessment, 14 (6), 759-767. doi: 10.1007/s10666-008-9159-1

Optimal sampling and problematic likelihood functions in a simple population model

2009

Journal Article

Quasi-Stationary Distributions for Reducible Absorbing Markov Chains in Discrete Time

van Doorn, E. A. and Pollett, P. K. (2009). Quasi-Stationary Distributions for Reducible Absorbing Markov Chains in Discrete Time. Markov Processes and Related Fields, 15 (2), 191-204.

Quasi-Stationary Distributions for Reducible Absorbing Markov Chains in Discrete Time

2009

Conference Publication

Analytical methods for a stochastic mainland-island metapopulation model

Buckley, F. M. and Pollett, P. K. (2009). Analytical methods for a stochastic mainland-island metapopulation model. 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation, Cairns, Australia, 13-17 July, 2009. Canberra, Australia: Modelling and Simulation Society of Australia and New Zealand and International Association for Mathematics and Computers in Simulation.

Analytical methods for a stochastic mainland-island metapopulation model

2009

Journal Article

Quantitative Risk Stratification in Markov Chains with Limiting Conditional Distributions

Chan, D. C., Pollett, P. K. and Weinstein, M. C. (2009). Quantitative Risk Stratification in Markov Chains with Limiting Conditional Distributions. Medical Decision Making, 29 (4), 532-540. doi: 10.1177/0272989X08330121

Quantitative Risk Stratification in Markov Chains with Limiting Conditional Distributions

2009

Journal Article

On parameter estimation in population models II: Multi-dimensional processes and transient dynamics

Ross, J. V., Pagendam, D. E. and Pollett, P. K. (2009). On parameter estimation in population models II: Multi-dimensional processes and transient dynamics. Theoretical Population Biology, 75 (2-3), 123-132. doi: 10.1016/j.tpb.2008.12.002

On parameter estimation in population models II: Multi-dimensional processes and transient dynamics

2009

Conference Publication

Rules of thumb for metapopulation management

Ross, J. V. and Pollett, P. K. (2009). Rules of thumb for metapopulation management. 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation, Cairns, Australia, 13-17 July, 2009. Canberra, Australia: Modelling and Simulation Society of Australia and New Zealand and International Association for Mathematics and Computers in Simulation.

Rules of thumb for metapopulation management

2009

Book Chapter

Optimal capacity assignment in general queueing networks

Pollett, P. K. (2009). Optimal capacity assignment in general queueing networks. Optimization: structure and applications. (pp. 261-272) edited by Charles Pearce and Emma Hunt. New York, United States: Springer. doi: 10.1007/978-0-387-98096-6_14

Optimal capacity assignment in general queueing networks

2009

Journal Article

Ensemble behaviour in population processes with applications to ecological systems

Pollett, P. K. (2009). Ensemble behaviour in population processes with applications to ecological systems. Environmental Modeling and Assessment, 14 (5), 545-553. doi: 10.1007/s10666-008-9165-3

Ensemble behaviour in population processes with applications to ecological systems

2009

Conference Publication

Robust optimal observation of a metapopulation

Pagendam, D. E. and Pollett, P. K. (2009). Robust optimal observation of a metapopulation. 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation, Cairns, Australia, 13-17 July, 2009. Canberra, Australia: Modelling and Simulation Society of Australia and New Zealand and International Association for Mathematics and Computers in Simulation.

Robust optimal observation of a metapopulation

2008

Journal Article

Ehrenfest model for condensation and evaporation processes in degrading aggregates with multiple bonds

Flegg, M. B., Pollett, P. K. and Gramotnev, D. K. (2008). Ehrenfest model for condensation and evaporation processes in degrading aggregates with multiple bonds. Physical Review E, 78 (3) 031117, Article Number: 031117 Pt.1. doi: 10.1103/PhysRevE.78.031117

Ehrenfest model for condensation and evaporation processes in degrading aggregates with multiple bonds

2008

Journal Article

Metapopulation persistence in a dynamic landscape: more habitat or better stewardship?

Ross, J. V., Sirl, D. J., Pollett, P. K. and Possingham, H. P. (2008). Metapopulation persistence in a dynamic landscape: more habitat or better stewardship?. Ecological Applications, 18 (3), 590-598. doi: 10.1890/07-1094.1

Metapopulation persistence in a dynamic landscape: more habitat or better stewardship?

2008

Journal Article

Survival in a quasi-death process

Van Doorn, E. A. and Pollett, P. K. (2008). Survival in a quasi-death process. Linear Algebra and its Applications, 429 (4), 776-791. doi: 10.1016/j.laa.2008.04.004

Survival in a quasi-death process

2008

Journal Article

A note on the existence and uniqueness of a bounded mean-reverting process

Lesmono, D., Pollett, P. K., Tonkes, E. J. and Burrage, K. (2008). A note on the existence and uniqueness of a bounded mean-reverting process. Journal of the Indonesian Mathematical Society, 14 (2), 83-93.

A note on the existence and uniqueness of a bounded mean-reverting process

2007

Journal Article

Management, control and decision making for ecological systems

Pollett, Philip K. and Ross, Joshua V. (2007). Management, control and decision making for ecological systems. Ecological Modelling, 201 (1), 1-1. doi: 10.1016/j.ecolmodel.2006.07.020

Management, control and decision making for ecological systems

2007

Conference Publication

Ensemble behaviour in population processes with applications to ecological systems

Pollett, P. K. (2007). Ensemble behaviour in population processes with applications to ecological systems. 17th Biennial Congress on Modelling and Simulation (MODSIM07), Christchurch, New Zealand, 10-13 December, 2007. Christchurch, New Zealand: Modelling and Simulation Society of Australia and New Zealand.

Ensemble behaviour in population processes with applications to ecological systems

2007

Journal Article

A note on extinction times for the general birth, death and catastrophe process

Pollett, Phil K., Zhang, Hanjun J. and Cairns, Benjamin J. (2007). A note on extinction times for the general birth, death and catastrophe process. Journal of Applied Probability, 44 (2), 566-569. doi: 10.1239/jap/1183667423

A note on extinction times for the general birth, death and catastrophe process

2007

Journal Article

Estimation for queues from queue length data

Ross, J. V., Taimre, T. and Pollett, P. K. (2007). Estimation for queues from queue length data. Queueing Systems, 55 (2), 131-138. doi: 10.1007/s11134-006-9009-2

Estimation for queues from queue length data

2007

Journal Article

On costs and decisions in population management

Ross, J. V. and Pollett, P. K. (2007). On costs and decisions in population management. Ecological Modelling, 201 (1), 60-66. doi: 10.1016/j.ecolmodel.2006.07.021

On costs and decisions in population management

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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