My current research interests are stochastic differential equations, Markov-modulated Brownian motion, stochastic fluid flows, matrix-analytic methods, branching processes, and the Hamiltonian cycle problem.
 V. S. Borkar, V. Ejov, J. A. Filar and G. T. Nguyen. Hamiltonian cycle problem and Markov chains.
In International Series in Operations Research & Management Science, Springer, 2012. [Buy it on Amazon]
 G. T. Nguyen and O. Peralta. Rate of strong convergence to Markov-modulated Brownian motion. [arXiv: 1908.11075]
 Adam Hamilton, G. T. Nguyen and M. Roughan. Counting Candy Crush configurations. [arXiv: 1908.09996]
 A. Lewis, N. Bean, and G. T. Nguyen. Estimation of Markovian-regime-switching models with independent regimes. [arXiv:1906.07957]
 A. M. Austin, M. J.J. Douglass, G. T. Nguyen and S. N. Penfold. Patient selection for proton therapy: A radiobiological fuzzy Markov model incorporating robust plan analysis.
 A. Lewis, N. Bean, and G. T. Nguyen. Bayesian estimation of a Markovian regime-switching model for the South Australian wholesale electricity market.
 G. T. Nguyen and F. Poloni. Componentwise accurate Brownian motion computations using Cyclic Reduction. [arXiv:1605.01482]
 N. Bean, M. M. O'Reilly, G. T. Nguyen, and V. Sunkara. A discontinuous Galerkin method for approximating the stationary distribution of stochastic fluid-fluid processes. [arXiv:1901.10635]
 A. Austin, M. J. J. Douglass, G. T. Nguyen, R. Dalfsen, H. Le, P. Gorayski, Hui Tee, M. Penniment, and S. N. Penfold. Cost-effectiveness of proton therapy in treating base of skull chordoma. To appear in Australasian Physical and Engineering Sciences in Medicine, 2019.
 P. Mathews, C. Gray, L. Mitchell, G. T. Nguyen, N. G. Bean. SMERC: Social media event response clustering using textual and temporal information.
BSMDMA2018: The 2018 International Workshop on Big Social Data Management and Analysis, at IEEE BigData 2018. [arXiv:1811.0506]
 N. Bean, G. T. Nguyen, and F. Poloni. Doubling Algorithms for Stationary Distributions of Fluid Queues: A Probabilistic Interpretation.
Performance Evaluation, 125, 1-20, 2018. [arXiv:1801.05981]
 G. Latouche and G. T. Nguyen. Analysis of fluid flow models. Queueing Models and Service Management, 1(2), 1-29, 2018. [arXiv:1802.04355]
 A. M. Austin, M. J.J. Douglass, G. T. Nguyen, S. N. Penfold. A radiobiological Markov simulation tool for aiding decision making in proton therapy referral.
 G. Latouche and G. T. Nguyen. Slowing time: Markov-modulated Brownian motion with a sticky boundary.
 P. Mathews, L. Mitchell, G. T. Nguyen, N. G. Bean. The nature and origin of heavy tails in retweet activity.
MSM2017: 8th International Workshop on Modelling Social Media: Machine Learning and AI for Modelling and Analysing Social Media, April 2017, Perth, Australia. [arXiv: 1703.05545]
 G. Latouche and G. T. Nguyen. Feedback control: two-sided Markov-modulated Brownian motion with instantaneous change of phase at boundaries.
 G. Latouche and G. T. Nguyen. The morphing of fluid queues into Markov-modulated Brownian motion.
Stochastic Systems, 5(1), 62-86, 2015. [arXiv:1311.3359]
 G. Latouche and G. T. Nguyen. Fluid approach to two-sided Markov-modulated Brownian motion.
Queueing Systems, 80(1-2), 105-125, 2015. [arXiv:1403.2522]
 G. T. Nguyen and F. Poloni. Componentwise accurate fluid queue computations using doubling algorithms.
 Hautphenne, G. Latouche, and G. T. Nguyen. On the nature of Phase-Type Poisson distributions.
Annals of Actuarial Science, 8(1): 79-98, 2014.
 S. Hautphenne, G. Latouche, and G. T. Nguyen. Extinction probabilities of branching processes with countably infinitely many types.
Advances in Applied Probability, 45(4): 1068-1082, 2013.
 S. Hautphenne, G. Latouche, and G. T. Nguyen. Markovian trees subject to catastrophes: Do they survive forever?
Matrix-Analytic Methods in Stochastic Models, Latouche, G.; Ramaswami, V.; Sethuraman, J.; Sigman, K.; Squillante, M.S.; Yao, D. (Eds.).
Springer Proceedings in Mathematics & Statistics, 27: 87-106, 2013. [Article]
 G. Latouche, G. T. Nguyen and Z. Palmowski. Two-dimensional fluid queues with temporary assistance.
Matrix- Analytic Methods in Stochastic Models, Latouche, G.; Ramaswami, V.; Sethuraman, J.; Sigman, K.; Squillante, M.S.; Yao, D. (Eds.).
Springer Proceedings in Mathematics & Statistics, 27: 187--207, 2013. [Article]
 V. Ejov, N. Litvak, G. T. Nguyen and P. G. Taylor. Proof of the Hamiltonicity–Trace conjecture for singularly perturbed Markov chains.
 G. Latouche, G. T. Nguyen and P. G. Taylor. Queues with boundary assistance and the many effects of truncations.
 G. Latouche, G. T. Nguyen, and Z. Palmowski. Two-buffer fluid models with multiple ON-OFF inputs and threshold assistance.
VALUETOOLS’11: Proceedings of the 5th ICST Workshop on Tools for Solving Markov Chains, 2011.
 J. A. Filar, M. Haythorpe and G. T. Nguyen. A conjecture on the prevalence of cubic bridge graphs.
 V. Ejov, J. A. Filar, M. Haythorpe and G. T. Nguyen. Refined MDP–based branch–and–fixed algorithm for the Hamiltonian cycle problem.
 V. Ejov, S. Friedland and G. T. Nguyen. A note on cubic graphs, generating functions and multi-filar structures.
 V. Ejov and G. T. Nguyen. Consistent behavior of certain perturbed determinants induced by graphs.
 P. Kilby, D. Lun and G. T. Nguyen. Multipoint-to-multipoint network communication.
Proceedings of the 2009 Mathematics and Statistics in Industry Study Group, 109–125, 2009. [Article]
 V. Ejov, J. A. Filar, W. Murray and G. T. Nguyen. Determinants and longest cycles of graphs.
R. C. Cope, G. T. Nguyen, N. G. Bean, and J. V. Ross, Review of forecast accuracy metrics for the Australian Energy Market Operator, The University of Adelaide, Australia, 2019. [Report]
Hamiltonian cycle problem, Markov decision processes and graph spectra. PhD Thesis, University of South Australia, 2009.
Investigating the Hamiltonian cycle problem using Markov decision processes. Honours Thesis, University of South Australia, 2005.
Nigel Bean, The University of Adelaide
Vivek Borkar, Indian Institute of Technology Bombay
Vladimir Ejov, Flinders University
Ali Eshragh, The University of Newcastle
Jerzy Filar, The University of Queensland
Shmuel Friedland, University of Illinois
Adam Hamilton, The University of Adelaide
Sophie Hautphenne, The University of Melbourne
Michael Haythorpe, Flinders University
Guy Latouche, Université libre de Bruxelles
Angus Lewis, The University of Adelaide
Nelly Litvak, University of Twente
Desmond Lun, Rutgers
Lewis Mitchell, The University of Adelaide
Zbigniew Palmowski, University of Wroclaw
Oscar Peralta, The University of Adelaide
Federico Poloni, University of Pisa
Matt Roughan, The University of Adelaide
Peter Taylor, The University of Melbourne
Walter Murray, Stanford University
Soren Asmussen, Aarhus University
Kostya Borovkov, University of Melbourne
Jim Dai, Georgia Institute of Technology & Cornell
Ton Dieker, Georgia Institute of Technology
Bronwyn Hajek, University of South Australia
Masakiyo Miyazawa, Tokyo University of Science
Brendan McKay, ANU
Yoni Narazathy, University of Queensland
Phil Pollett, University of Queensland
V. Ramaswami, AT&T
Leonardo Rojas-Nandayapa, University of Queensland
Matt Roughan, University of Adelaide
Joshua Ross, University of Adelaide
Lesley Ward, University of South Australia
Bert Zwart, CWI