Emeritus Professor Philip Pollett

Emeritus Professor

School of Mathematics and Physics
Faculty of Science

Overview

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.

Qualifications

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

Publications

View all Publications

Publications

Book Chapter

  • 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

  • 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

  • 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

Journal Article

Conference Publication

  • 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

  • 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

  • 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.

  • Buckley, F. M. and Pollett, P. K. (2009). 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.

  • 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.

  • 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.

  • 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.

  • Pagendam, D. E. and Pollett, P. K. (2007). Optimal sampling and problematic likelihood functions in a simple population model. 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.

  • Pollett, P. K. and Ross, J.V. (2005). Costs and decisions in population management: Koalas on Kangaroo Island. 16th Biennial Congress on Modelling and Simulation MODSIM05, University of Melbourne, 12 - 15 December 2005. Canberra, Australia: Modelling and Simulation Society of Australia and New Zealand.

  • Bebbington, M., Pollett, P. and Ziedins, I. (2003). Product Form Approximations for Highly Linear Loss Networks with Trunk Reservation.

  • Pollett, P. K. and Stefanov, V.T. (2003). A method for evaluating the distribution of the total cost of a random process over its lifetime. International Congress on Modelling and Simulation, Townsville, Australia, 14-17 July 2003. Townsville, Australia: Modelling and Simulation Society of Australia and New Zealand.

  • Cairns, B. J. and Pollett, P. K. (2003). Evaluating persistence times in populations that are subject to local catastrophes. International Congress on Modelling and Simulation, Townsville, Australia, 14-17 July 2003. Townsvile, Australia: Modelling and Simulation Society of Australia and New Zealand.

  • 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).

  • 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.

  • 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).

  • 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.

  • Pollett, P. K. (1999). Bottlenecks in Markovian queueing networks. 15th National Conference of the Australian Society for Operations Research, Gold Coast, Aust., 4-7 July, 1999. Brisbane: Aust. Society for Operations Res..

  • Bebbington, M. S., Pollett, P. K. and Ziedins, I. (1999). Product form approximations for highly linear loss networks with trunk reservation. Christchurch, NZ, 23-25 Sept, 1999. Brisbane: Cen. for Statistics, Univ. of Qld.

  • Pollett, P. K. (1999). Quasistationarity in populations that are subject to large-scale mortality or emigration. MODSIM 99 - International Congress on Modelling & Simulation, Hamilton, NZ, 6-9 December 1999. Hamilton, NZ: Modelling and Simulation Society of Aust. and NZ.

  • Pollett, P. K. and Thompson, M. (1999). The analysis of continuous-time Markovian models using expected rates. 1st West.Pacific & 34d Aust.-Japan Workshop on Stochastic Models in Engin. Technology & Management, Christchurch, NZ, 23-25 September 1999. Brisbane: Cen. for Statistics, Univ. of Qld.

Grants (Administered at UQ)

PhD and MPhil Supervision

Completed Supervision