Profiles

Malgorzata O'Reilly

UTAS Home Associate Professor Małgorzata O'Reilly

Małgorzata O'Reilly

Associate Professor

Room 455 , Maths-Physics Building

+61 3 6226 2405 (phone)

+61 3 6226 2867 (fax)

Malgorzata.OReilly@utas.edu.au

Dr Małgorzata O'Reilly is an Associate Professor in Mathematics at the School of Natural Sciences. Her research interests are stochastic modelling, operations research, matrix-analytic methods, applied probability, health care systems modelling, satellite data analysis, and phylogenetics.

Biography

Małgorzata received her MSc degree in Mathematics and Education from Wroclaw University in 1987. She completed her MSc thesis in the area of reliability of linear consecutive systems under the supervision of Prof Tomasz Rolski. She then received her PhD degree in applied probability from the University of Adelaide in 2002. Her PhD thesis supervisor was the esteemed Prof Charles Pearce. Later, she completed her postdoc at the Teletraffic Research Centre at Adelaide University, working as a Research Associate on an ARC Discovery project, with Profs Peter Taylor and Nigel Bean, in the area of matrix-analytic methods. She has been a lecturer in probability, operations research, stochastic modelling and discrete mathematics at the University of Tasmania since 2005.

Career summary

Qualifications

DegreeThesis TitleUniversityCountryDate of Award
PhD Necessary conditions for the optimal design of linear consecutive k-out-of-n systemsUniversity of Adelaide Australia2002
MScA hypothesis by Derman, Lieberman and RossUniversity of WroclawPoland1987

Languages (other than English)

Małgorzata is fluent in Polish, her mother tongue. She also knows Greek at a basic level (she lived in Greece for a few years), and some Russian (Russian was a standard part of her education).

Memberships

Professional practice

  • Australian Mathematical Society
  • INFORMS

Teaching

Applied probability, Stochastic modelling, Markov chains, Queueing models, Matrix-analytic methods, Operations research, Optimization, Simulation, Discrete mathematics

Teaching expertise

Małgorzata has been developing and coordinating the operations research stream of units in mathematics, including operations research, probability models, stochastic modelling, and discrete mathematics.

Teaching responsibility

View more on AssocProf Malgorzata O'Reilly in WARP

Expertise

  • Applied probability
  • Stochastic modelling
  • Operations research
  • Satellite data analysis
  • Modelling of health care systems

Research Themes

Małgorzata's research aligns to the University's research theme of Data, Knowledge and Decisions. Her research interests lie in applied probability and operations research, which are the areas that form the foundation of theoretical and applied framework of methodologies with applications in a wide range of real-life systems of considerable engineering and environmental systems of significance.

Collaboration

Małgorzata's collaborators in applied probability, stochastic modelling and matrix-analytic methods are Prof Nigel Bean from Adelaide University, Prof Peter Taylor from Melbourne University, Prof Zbyszek Palmowski from Wroclaw University, Prof Barbara Margolius from Cleveland University, and Dr Werner Scheinhardt from University of Twente. She also collaborates with Prof JC Olivier and Dr Jagannath Aryal from UTas in the area of remote sensing. Her recent project in modelling health care systems involves collaboration with Dr Mark Fackrell from University of Melbourne, as well as the professionals from the Royal Hobart Hospital and Monash Medical Centre. She has also some projects in preparation that involve some new collaborations in the area of phase-type distributions.

Current projects

Małgorzata is the organizer of Stochastic Modelling meets Phylogenetics collaborative workshop. The aim of this initiative is to establish a cross-disciplinary collaboration in stochastic modelling and phylogenetics. Stochastic modelling is a key theoretical area of research used in the applications in phylogenetics. Therefore, knowledge of the current advancements in the stochastic models is an advantage for researchers pursuing phylogenetics problems. Similarly, stochastic modelling advancements are stimulated by the real-life problems of significance. Therefore, learning about the needs of the modern phylogenetics is of interest to stochastic modellers. This workshop aims to facilitate training and innovation, with the focus on the development of a collaborative project encompassing the two research areas.

Fields of Research

  • Stochastic analysis and modelling (490510)
  • Photogrammetry and remote sensing (401304)
  • Operations research (490108)
  • Health care administration (420306)
  • Health informatics and information systems (420308)
  • Other information and computing sciences (469999)
  • Distributed systems and algorithms (460605)
  • Ocean engineering (401503)
  • Air pollution modelling and control (401101)
  • Biostatistics (490502)
  • Mathematics and numeracy curriculum and pedagogy (390109)
  • Pattern recognition (460308)
  • Nuclear medicine (320215)
  • Biological mathematics (490102)
  • Algebra and number theory (490401)
  • Public health (420699)
  • Applied statistics (490501)
  • Health services and systems (420399)
  • Molecular evolution (310510)
  • Human-computer interaction (460806)

Research Objectives

  • Expanding knowledge in the mathematical sciences (280118)
  • Mobile technologies and communications (220103)
  • Assessment and management of terrestrial ecosystems (180601)
  • Public health (excl. specific population health) (200499)
  • Expanding knowledge in engineering (280110)
  • Health system performance (incl. effectiveness of programs) (200206)
  • Public sector productivity (150305)
  • Clinical health (200199)
  • Expanding knowledge in philosophy and religious studies (280119)
  • Expanding knowledge in the environmental sciences (280111)
  • Wave energy (170807)
  • Computer systems (220404)
  • Expanding knowledge in the health sciences (280112)
  • Expanding knowledge in the biological sciences (280102)
  • Evaluation of health and support services (200299)
  • Inpatient hospital care (200304)
  • Pedagogy (160302)
  • Expanding knowledge in the earth sciences (280107)
  • Application software packages (220401)

Publications

During her Masters and PhD research, Małgorzata made contributions to the theory of optimal design and reliability of linear consecutive systems, a class of systems applicable throughout industry, including, for example, telecommunications, mining, space exploration and medicine. She has developed various necessary conditions for the optimal design of linear consecutive-k-out-of-n systems and novel results for variant optimal designs. Both her Masters and PhD theses were in the area of linear consecutive systems.

In more recent years, Małgorzata has been involved in research in matrix-analytic models, and made contributions to the development of the theory of stochastic fluid flow models, a class of Markov-driven stochastic models with applications in a wide range of real-life systems of engineering and/or environmental significance. Her contributions include:

  • Development of theoretical expressions for various performance measures and their physical interpretations
  • Construction of efficient algorithms to evaluate these performance measures
  • Treatment of bounded and unbounded level-independent models
  • Analysis of fluid models with an element of level-dependence
  • First analysis of multi-dimensional fluid models
  • Time-dependent cyclic fluid models

Her keen area of interest is stochastic modelling, a research area that focuses on developing probabilistic models for real-life systems having an element of uncertainty.

Total publications

38

Highlighted publications

(8 outputs)
YearTypeCitationAltmetrics
2017Journal ArticleO'Reilly MM, Scheinhardt W, 'Stationary distributions for a class of Markov-modulated tandem fluid queues', Stochastic Models, 33, (4) pp. 524-550. ISSN 1532-6349 (2017) [Refereed Article]

DOI: 10.1080/15326349.2017.1349615 [eCite] [Details]

Citations: Scopus - 2

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2017Journal ArticleStark TL, Liberles DA, Holland BR, O'Reilly MM, 'Analysis of a mechanistic Markov model for gene duplicates evolving under subfunctionalization', BMC Evolutionary Biology, 17, (38) pp. 1-16. ISSN 1471-2148 (2017) [Refereed Article]

DOI: 10.1186/s12862-016-0848-0 [eCite] [Details]

Citations: Scopus - 4Web of Science - 5

Co-authors: Stark TL; Holland BR

Tweet

2016Journal ArticleMargolius B, O'Reilly MM, 'The analysis of cyclic stochastic fluid flows with time-varying transition rates', Queueing Systems, 82, (1-2) pp. 43-73. ISSN 0257-0130 (2016) [Refereed Article]

DOI: 10.1007/s11134-015-9456-8 [eCite] [Details]

Citations: Scopus - 2Web of Science - 2

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2014Journal ArticleBean NG, O'Reilly MM, 'The stochastic fluid-fluid model: a stochastic fluid model driven by an uncountable-state process, which is a stochastic fluid model itself', Stochastic Processes and Their Applications, 124, (5) pp. 1741-1772. ISSN 0304-4149 (2014) [Refereed Article]

DOI: 10.1016/j.spa.2013.12.006 [eCite] [Details]

Citations: Scopus - 7Web of Science - 7

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2013Journal ArticleBean NG, O'Reilly MM, 'A stochastic two-dimensional fluid model', Stochastic Models, 29, (1) pp. 31-63. ISSN 1532-6349 (2013) [Refereed Article]

DOI: 10.1080/15326349.2013.750532 [eCite] [Details]

Citations: Scopus - 17Web of Science - 17

Tweet

2008Journal ArticleBean NG, O'Reilly MM, Taylor PG, 'Algorithms for the Laplace-Stieltjes transforms of first return times for Stochastic fluid flows', Methodology and Computing in Applied Probablility, 10, (3) pp. 381-408. ISSN 1387-5841 (2008) [Refereed Article]

DOI: 10.1007/s11009-008-9077-3 [eCite] [Details]

Citations: Scopus - 30Web of Science - 27

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2005Journal ArticleBean NG, O'Reilly MM, Taylor PG, 'Hitting probabilities and hitting times for stochastic fluid flows', Stochastic Processes and their Applications, 115, (9) pp. 1530-1556. ISSN 0304-4149 (2005) [Refereed Article]

DOI: 10.1016/j.spa.2005.04.002 [eCite] [Details]

Citations: Scopus - 50Web of Science - 46

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2005Journal ArticleBean NG, O'Reilly MM, Taylor PG, 'Algorithms for Return Probabilities for Stochastic Fluid Flows', Stochastic Models, 21, (1) pp. 149-184. ISSN 1532-6349 (2005) [Refereed Article]

DOI: 10.1081/STM-200046511 [eCite] [Details]

Citations: Scopus - 53Web of Science - 43

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Journal Article

(27 outputs)
YearCitationAltmetrics
2021Battula SK, O'Reilly MM, Garg S, Montgomery J, 'A generic stochastic model for resource availability in fog computing environments', IEEE Transactions on Parallel and Distributed Systems, 32, (4) pp. 960-974. ISSN 1045-9219 (2021) [Refereed Article]

DOI: 10.1109/TPDS.2020.3037247 [eCite] [Details]

Citations: Scopus - 2Web of Science - 2

Co-authors: Battula SK; Garg S; Montgomery J

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2020Abera A, O'Reilly MM, Fackrell M, Holland BR, Heydar M, 'On the decision support model for the patient admission scheduling problem with random arrivals and departures: A solution approach', Stochastic Models, 36, (2) pp. 312-336. ISSN 1532-6349 (2020) [Refereed Article]

DOI: 10.1080/15326349.2020.1742161 [eCite] [Details]

Citations: Scopus - 1Web of Science - 1

Co-authors: Abera A; Holland BR; Heydar M

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2020Arzaghi E, Abaei MM, Abbassi R, O'Reilly M, Garaniya V, et al., 'A Markovian approach to power generation capacity assessment of floating wave energy converters', Renewable Energy, 146 pp. 2736-2743. ISSN 0960-1481 (2020) [Refereed Article]

DOI: 10.1016/j.renene.2019.08.099 [eCite] [Details]

Citations: Scopus - 3Web of Science - 4

Co-authors: Garaniya V; Penesis I

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2020Samuelson A, O'Reilly MM, Bean NG, 'Construction of algorithms for discrete-time quasi-birth-and-death processes through physical interpretation', Stochastic Models pp. 1-30. ISSN 1532-6349 (2020) [Refereed Article]

DOI: 10.1080/15326349.2020.1744451 [eCite] [Details]

Co-authors: Samuelson A

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2019Diao J, Stark TL, Liberles DA, O'Reilly MM, Holland BR, 'Level-dependent QBD models for the evolution of a family of gene duplicates', Stochastic Models pp. 1-28. ISSN 1532-6349 (2019) [Refereed Article]

DOI: 10.1080/15326349.2019.1680296 [eCite] [Details]

Co-authors: Diao J; Holland BR

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2017O'Reilly MM, Scheinhardt W, 'Stationary distributions for a class of Markov-modulated tandem fluid queues', Stochastic Models, 33, (4) pp. 524-550. ISSN 1532-6349 (2017) [Refereed Article]

DOI: 10.1080/15326349.2017.1349615 [eCite] [Details]

Citations: Scopus - 2

Tweet

2017Samuelson A, Haigh A, O'Reilly MM, Bean NG, 'Stochastic model for maintenance in continuously deteriorating systems', European Journal of Operational Research, 259, (3) pp. 1169-1179. ISSN 0377-2217 (2017) [Refereed Article]

DOI: 10.1016/j.ejor.2016.11.032 [eCite] [Details]

Citations: Scopus - 8Web of Science - 6

Co-authors: Samuelson A

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2017Samuelson A, O'Reilly MM, Bean NG, 'On the generalized reward generator for stochastic fluid models: a new equation for Ψ', Stochastic Models, 33, (4) pp. 495-523. ISSN 1532-6349 (2017) [Refereed Article]

DOI: 10.1080/15326349.2017.1347883 [eCite] [Details]

Citations: Scopus - 1Web of Science - 4

Co-authors: Samuelson A

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2017Stark TL, Liberles DA, Holland BR, O'Reilly MM, 'Analysis of a mechanistic Markov model for gene duplicates evolving under subfunctionalization', BMC Evolutionary Biology, 17, (38) pp. 1-16. ISSN 1471-2148 (2017) [Refereed Article]

DOI: 10.1186/s12862-016-0848-0 [eCite] [Details]

Citations: Scopus - 4Web of Science - 5

Co-authors: Stark TL; Holland BR

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2016Anees A, Aryal J, O'Reilly M, Gale TJ, 'A relative density ratio-based framework for detection of land cover changes in MODIS NDVI time series', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9, (8) pp. 3359-3371. ISSN 1939-1404 (2016) [Refereed Article]

DOI: 10.1109/JSTARS.2015.2428306 [eCite] [Details]

Citations: Scopus - 19Web of Science - 19

Co-authors: Anees A; Aryal J; Gale TJ

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2016Anees A, Aryal J, O'Reilly MM, Gale TJ, Wardlaw T, 'A robust multi-kernel change detection framework for detecting leaf beetle defoliation using Landsat 7 ETM+ data', ISPRS Journal of Photogrammetry and Remote Sensing, 122 pp. 167-178. ISSN 0924-2716 (2016) [Refereed Article]

DOI: 10.1016/j.isprsjprs.2016.10.011 [eCite] [Details]

Citations: Scopus - 12Web of Science - 12

Co-authors: Anees A; Aryal J; Gale TJ; Wardlaw T

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2016Margolius B, O'Reilly MM, 'The analysis of cyclic stochastic fluid flows with time-varying transition rates', Queueing Systems, 82, (1-2) pp. 43-73. ISSN 0257-0130 (2016) [Refereed Article]

DOI: 10.1007/s11134-015-9456-8 [eCite] [Details]

Citations: Scopus - 2Web of Science - 2

Tweet

2014Bean NG, O'Reilly MM, 'The stochastic fluid-fluid model: a stochastic fluid model driven by an uncountable-state process, which is a stochastic fluid model itself', Stochastic Processes and Their Applications, 124, (5) pp. 1741-1772. ISSN 0304-4149 (2014) [Refereed Article]

DOI: 10.1016/j.spa.2013.12.006 [eCite] [Details]

Citations: Scopus - 7Web of Science - 7

Tweet

2014O'Reilly MM, 'Multi-stage stochastic fluid models for congestion control', European Journal of Operational Research, 238, (2) pp. 514-526. ISSN 0377-2217 (2014) [Refereed Article]

DOI: 10.1016/j.ejor.2014.04.010 [eCite] [Details]

Citations: Scopus - 3Web of Science - 3

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2014Teufel AI, Zhao J, O'Reilly M, Liu L, Liberles DA, 'On mechanistic modeling of gene content evolution: birth-death models and mechanisms of gene birth and gene retention', Computation, 2, (3) pp. 112-130. ISSN 2079-3197 (2014) [Refereed Article]

DOI: 10.3390/computation2030112 [eCite] [Details]

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2013Bean NG, O'Reilly MM, 'A stochastic two-dimensional fluid model', Stochastic Models, 29, (1) pp. 31-63. ISSN 1532-6349 (2013) [Refereed Article]

DOI: 10.1080/15326349.2013.750532 [eCite] [Details]

Citations: Scopus - 17Web of Science - 17

Tweet

2013Bean NG, O'Reilly MM, 'Spatially-coherent uniformization of a stochastic fluid model to a Quasi-Birth-and-Death process', Performance Evaluation, 70, (9) pp. 578-592. ISSN 0166-5316 (2013) [Refereed Article]

DOI: 10.1016/j.peva.2013.05.006 [eCite] [Details]

Citations: Scopus - 3Web of Science - 3

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2013O'Reilly MM, Palmowski Z, 'Loss rates for stochastic fluid models', Performance Evaluation, 70, (9) pp. 593-606. ISSN 0166-5316 (2013) [Refereed Article]

DOI: 10.1016/j.peva.2013.05.005 [eCite] [Details]

Citations: Scopus - 6Web of Science - 6

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2012Bean N, O'Reilly MM, 'A Stochastic Fluid Model driven by an uncountable-state process, which is a Stochastic Fluid Model itself: The Stochastic Fluid-Fluid Model', SIGMETRICS Performance Evaluation Review, 39, (4) pp. 32. ISSN 0163-5999 (2012) [Contribution to Refereed Journal]

DOI: 10.1145/2185395.2185423 [eCite] [Details]

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2012Bean NG, O'Reilly MM, Ren Yong, 'Second-order Markov reward models driven by QBD processes', Performance Evaluation, 69, (9) pp. 440-455. ISSN 0166-5316 (2012) [Refereed Article]

DOI: 10.1016/j.peva.2012.05.002 [eCite] [Details]

Citations: Scopus - 3Web of Science - 1

Co-authors: Ren Yong

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2012O'Reilly MM, Bean NG, 'Stochastic 2-Dimensional Fluid Model', SIGMETRICS Performance Evaluation Review, 39, (4) pp. 45. ISSN 0163-5999 (2012) [Contribution to Refereed Journal]

DOI: 10.1145/2185395.2185436 [eCite] [Details]

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2010Bean NG, O'Reilly MM, Sargison JE, 'Stochastic fluid flow model of the operation and maintenance of power generation systems', IEEE Transactions on Power Systems, 25, (3) pp. 1361-1374. ISSN 0885-8950 (2010) [Refereed Article]

DOI: 10.1109/TPWRS.2010.2042308 [eCite] [Details]

Citations: Scopus - 18Web of Science - 17

Co-authors: Sargison JE

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2009Bean NG, O'Reilly MM, Taylor PG, 'Hitting probabilities and hitting times for stochastic fluid flows: the Bounded Model', Probability in the Engineering and Informational Sciences, 23, (1) pp. 121-147. ISSN 0269-9648 (2009) [Refereed Article]

DOI: 10.1017/S0269964809000102 [eCite] [Details]

Citations: Scopus - 22Web of Science - 20

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2008Bean NG, O'Reilly MM, 'Performance measures of a multi-layer Markovian fluid model', Annals of Operations Research, 160, (1) pp. 99-120. ISSN 0254-5330 (2008) [Refereed Article]

DOI: 10.1007/s10479-007-0299-5 [eCite] [Details]

Citations: Scopus - 27Web of Science - 24

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2008Bean NG, O'Reilly MM, Taylor PG, 'Algorithms for the Laplace-Stieltjes transforms of first return times for Stochastic fluid flows', Methodology and Computing in Applied Probablility, 10, (3) pp. 381-408. ISSN 1387-5841 (2008) [Refereed Article]

DOI: 10.1007/s11009-008-9077-3 [eCite] [Details]

Citations: Scopus - 30Web of Science - 27

Tweet

2005Bean NG, O'Reilly MM, Taylor PG, 'Hitting probabilities and hitting times for stochastic fluid flows', Stochastic Processes and their Applications, 115, (9) pp. 1530-1556. ISSN 0304-4149 (2005) [Refereed Article]

DOI: 10.1016/j.spa.2005.04.002 [eCite] [Details]

Citations: Scopus - 50Web of Science - 46

Tweet

2005Bean NG, O'Reilly MM, Taylor PG, 'Algorithms for Return Probabilities for Stochastic Fluid Flows', Stochastic Models, 21, (1) pp. 149-184. ISSN 1532-6349 (2005) [Refereed Article]

DOI: 10.1081/STM-200046511 [eCite] [Details]

Citations: Scopus - 53Web of Science - 43

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Chapter in Book

(3 outputs)
YearCitationAltmetrics
2009O'Reilly MM, 'Optimal design of linear consecutive-k-out-of-n systems', Optimization and Its Applications, Springer, C Pearce and E Hunt (ed), New York, pp. 307-326. ISBN 978-0-387-98095-9 (2009) [Research Book Chapter]

DOI: 10.1007/978-0-387-98096-6_16 [eCite] [Details]

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2009O'Reilly MM, 'The (k+1)-th component of linear consecutive-k-out-of-n systems', Optimization and Its Applications, Springer, C Pearce and E Hunt (ed), New York, pp. 327-342. ISBN 978-0-387-98095-9 (2009) [Research Book Chapter]

DOI: 10.1007/978-0-387-98096-6_17 [eCite] [Details]

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2003O'Reilly MM, 'Variant optimal designs of linear consecutive-k-out-of-n systems', Industrial Mathematics and Statistics, Narosa Publishing House, Misra JC (ed), New Delhi, pp. 486-502. ISBN 8173194882 (2003) [Research Book Chapter]

[eCite] [Details]

Conference Publication

(7 outputs)
YearCitationAltmetrics
2019Abera A, O'Reilly MM, Holland BR, Fackrell M, Heydar M, 'Decision support model for the patient admission scheduling problem with random arrivals and departures', Proceedings of the 10th International Conference on Matrix-Analytic Methods in Stochastic Models, 13-15 February 2019, Hobart, Australia, pp. 10-14. (2019) [Refereed Conference Paper]

[eCite] [Details]

Co-authors: Abera A; Holland BR; Heydar M

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2019Heydar M, O'Reilly MM, 'Markovian decision-support model for patient-to-ward assignment problem in a random environment', Proceedings of the 10th International Conference on Matrix-Analytic Methods in Stochastic Models, 13-15 February 2019, Hobart, Australia, pp. 33-34. ISBN 978-0-646-99707-0 (2019) [Conference Extract]

[eCite] [Details]

Co-authors: Heydar M

2019Samuelson A, O'Reilly MM, Bean NG, 'Construction of algorithms for discrete-time quasi-birth-and-death processes through physical interpretation', Proceedings of the 10th International Conference on Matrix-Analytic Methods in Stochastic Models, 13-15 February 2019, Hobart, Australia, pp. 53-57. (2019) [Refereed Conference Paper]

[eCite] [Details]

Co-authors: Samuelson A

2016Bean N, Nguyen GT, O'Reilly M, Sunkara V, 'A numerical framework for computing the limiting distribution of a stochastic fluid-fluid process', Proceedings of the Ninth International Conference on Matrix-Analytic Methods in Stochastic Models, 28-30 June 2016, Budapest, Hungary, pp. 21-22. ISBN 9781450321389 (2016) [Conference Extract]

[eCite] [Details]

2016O'Reilly MM, Scheinhardt W, 'Analysis of tandem fluid queues', Proceedings of the 9th International Conference on Matrix-Analytic Methods in Stochastic Models, 28-30 June 2016, Budapest, Hungary, pp. 85-92. ISBN 9781450321389 (2016) [Refereed Conference Paper]

[eCite] [Details]

2016Samuelson A, O'Reilly MM, Bean NB, 'Generalised reward generator for stochastic fluid models', Proceedings of the 9th International Conference on Matrix-Analytic Methods in Stochastic Models, 28-30 June 2016, Budapest, Hungary, pp. 27-34. ISBN 9781450321389 (2016) [Refereed Conference Paper]

[eCite] [Details]

Co-authors: Samuelson A

2013Anees A, Olivier JC, O'Reilly MM, Aryal J, 'Detecting beetle infestations in pine forest using MODIS NDVI time-series data', IEEE International Geoscience and Remote Sensing Symposium Proceedings (IGARSS 2013), 21-26 July 2013, Melbourne, Australia, pp. 3329-3332. ISBN 978-1-4799-1114-1 (2013) [Refereed Conference Paper]

DOI: 10.1109/IGARSS.2013.6723540 [eCite] [Details]

Co-authors: Anees A; Olivier JC; Aryal J

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Other Public Output

(1 outputs)
YearCitationAltmetrics
2014O'Reilly M, 'GP co-payment would increase emergency department wait times', The Conversation, https://theconversation.com, 11 July (2014) [Magazine Article]

[eCite] [Details]

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Grants & Funding

Funding Summary

Number of grants

5

Total funding

$1,528,434

Projects

Creating new stochastic models to understand the evolution of gene families (2018 - 2020)$317,329
Funding
Australian Research Council ($317,329)
Scheme
Grant-Discovery Projects
Administered By
University of Tasmania
Research Team
Holland BR; O'Reilly MM; Liberles D; Liu L
Period
2018 - 2020
Grant Reference
DP180100352
Research visits to University of Twente and University of Amsterdam (2016)$3,105
Description
Funds for the purpose of visiting other Universities to carry out a program of research. Visit to UT will focus on work on a tandem network problem in stochastic fluid networks. During a research visit by Scheinhardt to the University of Tasmania, first steps have been taken to show that the analysis of this problem is indeed possible. Visit to UA will focus on bed allocation problem in health care modelling. This work is in early stages of preparation.The aim of each visit is to prepare a publication in an international journal.
Funding
Stochastics - Theoretical and Applied Research ($3,105)
Scheme
Grant-Visitor
Administered By
University of Tasmania
Research Team
O'Reilly MM
Year
2016
Modelling Healthcare Systems (2014 - 2017)$410,000
Description
An efficient healthcare system is essential for the well-being of any society. The aim of the project is to develop major advances in the mathematical modelling of healthcare systems, in order to improve efficiency, and ultimately, patient health. The first expected outcome is the development of mathematical models that constitute a high-level description of patient flow through hospitals and subacute care, so that demands for emergency and elective capacity are met given limited resources. The second is the development of a bed allocation algorithm that allocates patients to appropriate wards, so as to optimise the set of performance indicators of the system under appropriate constraints, given the current ward occupancy.
Funding
Australian Research Council ($410,000)
Scheme
Grant-Linkage Projects Round 1
Administered By
University of Melbourne
Research Team
Fackrell Mark; O'Reilly MM; Taylor Peter G; Campbell Donald; Stockman Keith; Foster S
Period
2014 - 2017
Grant Reference
LP140100152
Advanced matrix-analytic methods with applications (2011 - 2013)$600,000
Funding
Australian Research Council ($600,000)
Scheme
Grant-Discovery Projects
Administered By
University of Melbourne
Research Team
Taylor Peter G; Bean NG; Hautphenne SM; Fackrell MW; O'Reilly MM
Period
2011 - 2013
Grant Reference
DP1111663
The Use of Stochastic Fluid Models for the Evaluation of applications-driven Sample Path Integrals (2007 - 2009)$198,000
Funding
Australian Research Council ($198,000)
Scheme
Grant-Discovery Projects
Administered By
University of Adelaide
Research Team
Bean NG; O'Reilly MM
Period
2007 - 2009
Grant Reference
DP0770388

Research Supervision

Students interested in post-graduate study under Małgorzata's supervision, are encouraged to contact her to discuss possibilities. Please refer to the examples of potential topics below:

Current

3

Completed

4

Current

DegreeTitleCommenced
PhDStochastic Modelling of Patient Flow in Hospitals2018
PhDA Mechanistic Markov Model for Gene-Family Duplicates Evolving2018
PhDModelling the Evolution of Gene Families2019

Completed

DegreeTitleCompleted
PhDStochastic Fluid Models and their Applications
Candidate: Aviva Samuelson
2020
PhDMarkov Models for the Evolution of Duplicate Genes, and Microsatellites
Candidate: Tristan Lee Stark
2018
PhDStats, Drugs and Rock and Roll: Statistical applications to temporally autocorrelated substance use data
Candidate: Melissa Ann Humphries
2017
PhDStatistical Algorithms for Land/Forest Cover Change Detection Using Remote Sensing Data
Candidate: Asim Anees
2016