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)

81 - 100 of 146 works

2007

Journal Article

Combining meta-EAs and racing for difficult EA parameter tuning tasks

Yuan, Bo and Gallagher, Marcus (2007). Combining meta-EAs and racing for difficult EA parameter tuning tasks. Studies in Computational Intelligence, 54, 121-142. doi: 10.1007/978-3-540-69432-8_6

Combining meta-EAs and racing for difficult EA parameter tuning tasks

2007

Conference Publication

Evolving pac-man players: Can we learn from raw input?

Gallagher, M. and Ledwich, M. (2007). Evolving pac-man players: Can we learn from raw input?. 2007 IEEE Symposium Series on Computational Intelligence and Games (IEEE SSCI 2007), Honolulu, Hawaii, 1-5 April, 2007. United States: IEEE (Institute for Electrical and Electronic Engineers). doi: 10.1109/CIG.2007.368110

Evolving pac-man players: Can we learn from raw input?

2007

Conference Publication

An agent based approach to examining shared situation awareness

Connelly, S., Lindsay, P. A. and Gallagher, M. (2007). An agent based approach to examining shared situation awareness. 12th IEEE International Conference on Engineering Complex Computer Systems (ICECCS 2007), Auckland, New Zealand, 11-14 July 2007. Los Alamitos, CA, U.S.A.: IEEE Computer Society. doi: 10.1109/ICECCS.2007.14

An agent based approach to examining shared situation awareness

2007

Conference Publication

A comparison of sequence kernels for localization prediction of transmembrane proteins

Maetschke, S., Gallagher, M. and Boden, M. (2007). A comparison of sequence kernels for localization prediction of transmembrane proteins. IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology 2007 (CIBCB 2007), Honolulu, Hawaii, 1-5 April 2007. Piscataway, NJ, U.S.A.: IEEE - Institute of Electrical Electronics Engineers Inc.. doi: 10.1109/cibcb.2007.4221246

A comparison of sequence kernels for localization prediction of transmembrane proteins

2007

Book Chapter

Combining Meta-EAs and Racing for Difficult EA Parameter Tuning Tasks

Yuan, B. and Gallagher, M. (2007). Combining Meta-EAs and Racing for Difficult EA Parameter Tuning Tasks. Parameter Setting in Evolutionary Algorithms. (pp. 121-142) edited by Lobo, F. G., Lima, C. F. and Michalewicz, Z.. Berlin, Heidelberg, Germany: Springer-Verlag. doi: 10.1007/978-3-540-69432-8_6

Combining Meta-EAs and Racing for Difficult EA Parameter Tuning Tasks

2007

Journal Article

Parameter interdependence and uncertainty induced by lumping in a hydrologic model

Gallagher, MR and Doherty, J (2007). Parameter interdependence and uncertainty induced by lumping in a hydrologic model. Water Resources Research, 43 (5) W05421. doi: 10.1029/2006WR005347

Parameter interdependence and uncertainty induced by lumping in a hydrologic model

2007

Conference Publication

Bayesian inference in estimation of distribution algorithms

Gallagher, M. R., Wood, I., Keith, J. and Sofronov, G. (2007). Bayesian inference in estimation of distribution algorithms. IEEE Congress on Evolutionary Computation (CEC 2007), Singapore, 25-28 September 2007. Piscataway, NJ, U.S.A.: IEEE - Institute of Electrical Electronics Engineers Inc.. doi: 10.1109/CEC.2007.4424463

Bayesian inference in estimation of distribution algorithms

2007

Conference Publication

Combining Meta-EAs and racing for difficult EA parameter tuning tasks

Yuan, Bo and Gallagher, Marcus (2007). Combining Meta-EAs and racing for difficult EA parameter tuning tasks. Workshop on Parameter Setting in Genetic and Evolutionary Algorithms, Washington Dc, 2005. BERLIN: SPRINGER-VERLAG BERLIN.

Combining Meta-EAs and racing for difficult EA parameter tuning tasks

2006

Conference Publication

A mathematical modelling technique for the analysis of the dynamics of a simple continuous EDA

Yuan, Bo and Gallagher, Marcus (2006). A mathematical modelling technique for the analysis of the dynamics of a simple continuous EDA. 2006 IEEE Congress on Evolutionary Computation, CEC 2006, , , July 16, 2006-July 21, 2006.

A mathematical modelling technique for the analysis of the dynamics of a simple continuous EDA

2006

Journal Article

Introduction

Yin, Hujun, Gallagher, Marcus and Magdon-Ismail, Malik (2006). Introduction. International Journal of Neural Systems, 16 (5), v-vi.

Introduction

2006

Edited Outputs

International Journal of Neural Systems

International Journal of Neural Systems. (2006). 16 (5)

International Journal of Neural Systems

2006

Journal Article

Matching of catalogues by probabilistic pattern classification

Rohde, D. J., Gallagher, M. R., Drinkwater, M. J. and Pimbblet, K. A. (2006). Matching of catalogues by probabilistic pattern classification. Monthly Notices of The Royal Astronomical Society, 369 (1), 2-14. doi: 10.1111/j.1365-2966.2006.10304.x

Matching of catalogues by probabilistic pattern classification

2006

Journal Article

A general-purpose tunable landscape generator

Gallagher, Marcus and Yuan, Bo (2006). A general-purpose tunable landscape generator. IEEE Transactions On Evolutionary Computation, 10 (5), 590-603. doi: 10.1109/TEVC.2005.863628

A general-purpose tunable landscape generator

2006

Conference Publication

A mathematical modelling technique for the analysis of the dynamics of a simple continuous EDA

Gallagher, M. R. and Yuan, B. (2006). A mathematical modelling technique for the analysis of the dynamics of a simple continuous EDA. 2006 IEEE Congress on Evolutionary Computation (CEC 2006), Vancouver, Canada, 16-21 July 2006. Piscataway, NJ, U.S.A.: IEEE - Institute of Electrical Electronics Engineers Inc.. doi: 10.1109/CEC.2006.1688497

A mathematical modelling technique for the analysis of the dynamics of a simple continuous EDA

2006

Conference Publication

Higher order HMMs for localization prediction of transmembrance proteins

Maetschke, S. R., Boden, M B and Gallagher, M R (2006). Higher order HMMs for localization prediction of transmembrance proteins. 2006 Workshop on Intelligent Systems for Bioinformatics (WISB 2006), Hobart, Australia, 4 December, 2006. New South Wales, Australia: Australian Computer Society Inc..

Higher order HMMs for localization prediction of transmembrance proteins

2005

Conference Publication

A hybrid approach to parameter tuning in genetic algorithms

Yuan, Bo and Gallagher, Marcus (2005). A hybrid approach to parameter tuning in genetic algorithms. 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005, , , September 2, 2005-September 5, 2005.

A hybrid approach to parameter tuning in genetic algorithms

2005

Conference Publication

Experimental results for the special session on real-parameter optimization at CEC 2005: A simple, continuous EDA

Yuan, Bo and Gallagher, Marcus (2005). Experimental results for the special session on real-parameter optimization at CEC 2005: A simple, continuous EDA. 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005, , , September 2, 2005-September 5, 2005.

Experimental results for the special session on real-parameter optimization at CEC 2005: A simple, continuous EDA

2005

Journal Article

Lecture Notes in Computer Science: Preface

Gallagher, Marcus, Hogan, James and Maire, Frederic (2005). Lecture Notes in Computer Science: Preface. Lecture Notes in Computer Science, 3578

Lecture Notes in Computer Science: Preface

2005

Other Outputs

McCulloch-Pitts Network

Gallagher, M. R. (2005). McCulloch-Pitts Network.

McCulloch-Pitts Network

2005

Edited Outputs

Intelligent Data Engineering and Automated Learning - IDEAL2005

Marcus Gallagher, James Hogan and Frederic Maire eds. (2005). Intelligent Data Engineering and Automated Learning - IDEAL2005. 6th International Conference on Intelligent Data Engineering and Automated Learning - IDEAL 2005: Lecture Notes in Computer Science (journal), Brisbane, Australia, 6-8 July 2005. Germany: Springer.

Intelligent Data Engineering and Automated Learning - IDEAL2005

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

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Supervision history

Current supervision

  • Doctor Philosophy

    Hybrid local/global optimisation for the design of diverse structures

    Principal Advisor

  • 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

    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

  • 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

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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