Associate Professor Marcus Gallagher
Associate Professor

Marcus Gallagher

Email: 
Phone: 
+61 7 336 56197

Background

Marcus Gallagher is an Associate Professor in the Artificial Intelligence Group in the School of Information Technology and Electrical Engineering. His research interests are in artificial intelligence, including optimisation and machine learning. He is particularly interested in understanding the relationship between algorithm performance and problem structure via benchmarking. My work includes cross-disciplinary collaborations and real-world applications of AI techniques.

Dr Gallagher received his BCompSc and GradDipSc from the University of New England, Australia in 1994 and 1995 respectively, and his PhD in 2000 from the University of Queensland, Australia. He also completed a GradCert (Higher Education) in 2010.

Availability

Associate Professor Marcus Gallagher is:
Available for supervision
Media expert

Fields of research

Biomedical and Clinical Sciences Health Sciences Information and Computing Sciences Mathematical Sciences Numerical and computational mathematics Optimisation Statistics Theory of computation

Qualifications

  • Bachelor of Computer Science, University of New England Australia
  • Postgraduate Diploma, University of New England Australia
  • Doctor of Philosophy, The University of Queensland

Search Professor Marcus Gallagher’s works on UQ eSpace

146 works between 1990 and 2024
All (146) Journal Article (47) Book Chapter (1) Conference Publication (92) Book (1) Other Outputs (3) Edited Outputs (2)

41 - 60 of 146 works

2017

Conference Publication

Exploratory analysis of clustering problems using a comparison of particle swarm optimization and differential evolution

Saleem, Sobia and Gallagher, Marcus (2017). Exploratory analysis of clustering problems using a comparison of particle swarm optimization and differential evolution. 3rd Australasian Conference on Artificial Life and Computational Intelligence, ACALCI 2017, Geelong, VIC, Australia, 31 January – 2 February 2017. Heidelberg, Germany: Springer . doi: 10.1007/978-3-319-51691-2_27

Exploratory analysis of clustering problems using a comparison of particle swarm optimization and differential evolution

2016

Journal Article

The importance of implementation details and parameter settings in black-box optimization: a case study on Gaussian estimation-of-distribution algorithms and circles-in-a-square packing problems

Bosman, Peter A. N. and Gallagher, Marcus (2016). The importance of implementation details and parameter settings in black-box optimization: a case study on Gaussian estimation-of-distribution algorithms and circles-in-a-square packing problems. Soft Computing, 22 (4), 1-15. doi: 10.1007/s00500-016-2408-3

The importance of implementation details and parameter settings in black-box optimization: a case study on Gaussian estimation-of-distribution algorithms and circles-in-a-square packing problems

2016

Journal Article

Towards improved benchmarking of black-box optimization algorithms using clustering problems

Gallagher, Marcus (2016). Towards improved benchmarking of black-box optimization algorithms using clustering problems. Soft Computing, 20 (10), 1-15. doi: 10.1007/s00500-016-2094-1

Towards improved benchmarking of black-box optimization algorithms using clustering problems

2015

Journal Article

Analysing and characterising optimization problems using length scale

Morgan, Rachel and Gallagher, Marcus (2015). Analysing and characterising optimization problems using length scale. Soft Computing, 21 (7), 1735-1752. doi: 10.1007/s00500-015-1878-z

Analysing and characterising optimization problems using length scale

2015

Conference Publication

Detecting anomalies in controlled drug prescription data using probabilistic models

Hu, Xuelei, Gallagher, Marcus, Loveday, William, Connor, Jason P. and Wiles, Janet (2015). Detecting anomalies in controlled drug prescription data using probabilistic models. 1st Australasian Conference on Artificial Life and Computational Intelligence, ACALCI 2015, Newcastle, NSW Australia, 5 - 7 February 2015. Heidelberg, Germany: Springer Verlag. doi: 10.1007/978-3-319-14803-8_26

Detecting anomalies in controlled drug prescription data using probabilistic models

2014

Journal Article

Detecting contaminated birthdates using generalized additive models

Luo, Wei, Gallagher, Marcus, Loveday Bill, Ballantyne, Susan, Connor, Jason P. and Wiles, Janet (2014). Detecting contaminated birthdates using generalized additive models. BMC Bioinformatics, 15 (1) 185. doi: 10.1186/1471-2105-15-185

Detecting contaminated birthdates using generalized additive models

2014

Conference Publication

Fitness landscape analysis of circles in a square packing problems

Morgan, Rachael and Gallagher, Marcus (2014). Fitness landscape analysis of circles in a square packing problems. 10th International Conference, SEAL 2014, Dunedin, New Zealand, 15 - 18 December 2014. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-13563-2_39

Fitness landscape analysis of circles in a square packing problems

2014

Conference Publication

A modified screening estimation of distribution algorithm for large-scale continuous optimization

Mishra, Krishna Manjari and Gallagher, Marcus (2014). A modified screening estimation of distribution algorithm for large-scale continuous optimization. 10th International Conference SEAL 2014, Dunedin, New Zealand, 15-18 December 2014. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-13563-2_11

A modified screening estimation of distribution algorithm for large-scale continuous optimization

2014

Conference Publication

Clustering problems for more useful benchmarking of optimization algorithms

Gallagher, Marcus (2014). Clustering problems for more useful benchmarking of optimization algorithms. 10th International Conference SEAL 2014, Dunedin, New Zealand, 15-18 December 2014. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-13563-2_12

Clustering problems for more useful benchmarking of optimization algorithms

2014

Journal Article

Sampling techniques and distance metrics in high dimensional continuous landscape analysis: limitations and improvements

Morgan, Rachael and Gallagher, Marcus (2014). Sampling techniques and distance metrics in high dimensional continuous landscape analysis: limitations and improvements. IEEE Transactions On Evolutionary Computation, 18 (3) 6595542, 456-461. doi: 10.1109/TEVC.2013.2281521

Sampling techniques and distance metrics in high dimensional continuous landscape analysis: limitations and improvements

2013

Journal Article

Estimating the intensity of ward admission and its effect on emergency department access block

Luo, Wei, Cao, Jiguo, Gallagher, Marcus R. and Wiles, Janet H. (2013). Estimating the intensity of ward admission and its effect on emergency department access block. Statistics In Medicine, 32 (15), 2681-2694. doi: 10.1002/sim.5684

Estimating the intensity of ward admission and its effect on emergency department access block

2013

Journal Article

Parameter-free search of time-series discord

Luo, Wei, Gallagher, Marcus and Wiles, Janet (2013). Parameter-free search of time-series discord. Journal of Computer Science and Technology, 28 (2), 300-310. doi: 10.1007/s11390-013-1330-8

Parameter-free search of time-series discord

2013

Journal Article

Under voltage load shedding in power systems with wind turbine-driven doubly fed induction generators

Arief, Ardiaty, Dong, ZhaoYang, Nappu, Muhammad Bachtiar and Gallagher, Marcus (2013). Under voltage load shedding in power systems with wind turbine-driven doubly fed induction generators. Electric Power Systems Research, 96, 91-100. doi: 10.1016/j.epsr.2012.10.013

Under voltage load shedding in power systems with wind turbine-driven doubly fed induction generators

2013

Conference Publication

The Turing test track of the 2012 Mario AI championship: entries and evaluation

Shaker, Noor, Togelius, Julian, Yannakakis, Georgios N., Poovanna, Likith, Ethiraj, Vinay S., Johansson, Stefan J., Reynolds, Robert G., Heether, Leonard K., Schumann, Tom and Gallagher, Marcus (2013). The Turing test track of the 2012 Mario AI championship: entries and evaluation. 2013 IEEE Conference on Computational Intelligence in Games (CIG), Niagara Falls, ON, Canada, 11-13 August, 2013. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/CIG.2013.6633634

The Turing test track of the 2012 Mario AI championship: entries and evaluation

2012

Journal Article

Using landscape topology to compare continuous metaheuristics: a framework and case study on EDAs and ridge structure

Morgan, R. and Gallagher, M. (2012). Using landscape topology to compare continuous metaheuristics: a framework and case study on EDAs and ridge structure. Evolutionary Computation, 20 (2), 277-299. doi: 10.1162/EVCO_a_00070

Using landscape topology to compare continuous metaheuristics: a framework and case study on EDAs and ridge structure

2012

Conference Publication

Interactively training first person shooter bots

McPartland, Michelle and Gallagher, Marcus (2012). Interactively training first person shooter bots. IEEE International Conference on Computational Intelligence and Games, CIG 2012, Granada, Spain, 11 - 14 September 2012. Piscataway, NJ, United States: IEEE (Institute of Electrical and Electronics Engineers). doi: 10.1109/CIG.2012.6374149

Interactively training first person shooter bots

2012

Conference Publication

Game designers training first person shooter bots

McPartland, Michelle and Gallagher, Marcus (2012). Game designers training first person shooter bots. AI 2012: Advances in Artificial Intelligence, Sydney, Australia, 4 - 7 December 2012. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-35101-3_34

Game designers training first person shooter bots

2012

Conference Publication

Beware the parameters: estimation of distribution algorithms applied to circles in a square packing

Gallagher, Marcus (2012). Beware the parameters: estimation of distribution algorithms applied to circles in a square packing. Parallel Problem Solving from Nature - PPSN XII 12th International Conference, Taormina, Italy, 1 - 5 September 2012. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-32964-7_48

Beware the parameters: estimation of distribution algorithms applied to circles in a square packing

2012

Conference Publication

Astronomical catalogue matching as a mixture model problem

Rohde, David, Gallagher, Marcus and Drinkwater, Michael (2012). Astronomical catalogue matching as a mixture model problem. 11th Brazilian Meeting on Bayesian Statistics (EBEB), Amparo, Brazil, 18-22 March 2012. College Park, MD, USA: American Institute of Physics. doi: 10.1063/1.4759615

Astronomical catalogue matching as a mixture model problem

2012

Journal Article

Introducing cloud computing topics in curricula

Chen, Ling, Liu, Yang, Gallagher, Marcus, Pailthorpe, Bernard, Sadiq, Shazia, Shen, Heng Tao and Li, Xue (2012). Introducing cloud computing topics in curricula. Journal of Information Systems Education, 23 (3), 315-324.

Introducing cloud computing topics in curricula

Past funding

  • 2021 - 2022
    Solving Realistic Portfolio Optimisation Problems Using Interactive Multiobjective Evolutionary Algorithms (Defence Science and Technology Group grant administered by The University of Melbourne)
    University of Melbourne
    Open grant
  • 2019
    Machine Learning for Automated Network Anomaly Detection, Cyber Security and Analysis - Phase II
    Innovation Connections
    Open grant
  • 2018 - 2019
    Machine Learning for Automated Network Anomaly detection and Analysis
    Innovation Connections
    Open grant
  • 2016 - 2020
    Active and interactive analysis of prescription data for harm minimisation
    ARC Linkage Projects
    Open grant
  • 2013 - 2016
    The Development of Automated Advanced Data Analysis Techniques for the Detection of Aberrant Patterns of Prescribing Controlled Drugs
    ARC Linkage Projects
    Open grant
  • 2011 - 2013
    Data Mining Applications in the Regulation of Prescription Opioids
    Queensland Health
    Open grant
  • 2010 - 2012
    Understanding Patient Flow Bottlenecks and Patterns from Hospital Information Systems Data
    UQ Collaboration and Industry Engagement Fund
    Open grant
  • 2007 - 2009
    Metaheuristic Algorithms for Realistic Optimization Problems
    UQ Early Career Researcher
    Open grant
  • 2005 - 2006
    The Application of Machine Learning Techniques in Predicting Medical Outcomes
    UQ FirstLink Scheme
    Open grant
  • 2005 - 2006
    Smart Astronomy: Using Computational Science To Understand Distant Radio Galaxies
    ARC Special Research Initiatives - E-Research
    Open grant
  • 2005 - 2007
    A New Parallel Robot with breakthrough performance for Manufacturing of Aerospace Components - kinematic and dynamic synthesis, design optimisation and prototyping
    ARC Linkage Projects
    Open grant
  • 2001
    Population-based optimization algorithms and probabilistic modelling
    UQ New Staff Research Start-Up Fund
    Open grant

Availability

Associate Professor Marcus Gallagher is:
Available for supervision

Before you email them, read our advice on how to contact a supervisor.

Supervision history

Current supervision

  • Doctor Philosophy

    Improving neuroevolution using ideas from deep learning and optimization

    Principal Advisor

    Other advisors: Associate Professor Archie Chapman

  • Doctor Philosophy

    Generating data-driven continuous optimization problems for benchmarking

    Principal Advisor

    Other advisors: Professor Brian Lovell

  • Doctor Philosophy

    Adaptive Curriculums for Robotic Reinforcement Learning

    Principal Advisor

  • Doctor Philosophy

    Multi-objective optimisation and multi-agent learning for IoT devices.

    Principal Advisor

    Other advisors: Associate Professor Archie Chapman

  • Doctor Philosophy

    Hybrid local/global optimisation for the design of diverse structures

    Principal Advisor

  • Doctor Philosophy

    Towards Autonomous Network Security

    Associate Advisor

    Other advisors: Associate Professor Marius Portmann, Dr Siamak Layeghy

  • Doctor Philosophy

    Medical Image Segmentation with Limited Annotated Data

    Associate Advisor

    Other advisors: Professor Brian Lovell

  • Doctor Philosophy

    Characterizing Influence and Sensitivity in the Interpolating Regime

    Associate Advisor

    Other advisors: Professor Fred Roosta

  • Master Philosophy

    Forecasting and optimising decisions with machine learing

    Associate Advisor

Completed supervision

Enquiries

Contact Associate Professor Marcus Gallagher directly for media enquiries about:

  • Artificial Intelligence
  • Big Data
  • Computer programming
  • Data Science
  • Evolutionary algorithms
  • Evolutionary Computation
  • Heuristic optimisation
  • High-dimensional data - visualisation in computers
  • Intelligent systems
  • Machine learning
  • Neural networks
  • Optimisation Algorithms
  • Search space analysis - IT

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