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

147 works between 1990 and 2024
All (147) Journal Article (47) Book Chapter (1) Conference Publication (93) Book (1) Other Outputs (3) Edited Outputs (2)

121 - 140 of 147 works

2001

Conference Publication

Fitness distance correlation of neural network error surfaces: A scalable, continuous optimization problem

Gallagher, M. R. (2001). Fitness distance correlation of neural network error surfaces: A scalable, continuous optimization problem. Twelfth European Conference on Machine Learning, Freiburg, Germany, 3-7 September, 2001. Berlin: Springer-Verlag.

Fitness distance correlation of neural network error surfaces: A scalable, continuous optimization problem

2001

Conference Publication

Fitness distance correlation of neural network error surfaces: A scalable, continuous optimization problem

Gallagher, Marcus (2001). Fitness distance correlation of neural network error surfaces: A scalable, continuous optimization problem. Springer Verlag.

Fitness distance correlation of neural network error surfaces: A scalable, continuous optimization problem

2000

Journal Article

Empirical investigation of the user-parameters and performance of continuous PBIL algorithms

Gallagher, Marcus (2000). Empirical investigation of the user-parameters and performance of continuous PBIL algorithms. Neural Networks for Signal Processing - Proceedings of the IEEE Workshop, 2, 702-710.

Empirical investigation of the user-parameters and performance of continuous PBIL algorithms

2000

Other Outputs

Multi-layer perceptron error surfaces : visualization, structure and modelling

Gallagher, Marcus Reginald (2000). Multi-layer perceptron error surfaces : visualization, structure and modelling. PhD Thesis, School of Computer Science and Electrical Engineering, The University of Queensland. doi: 10.14264/157842

Multi-layer perceptron error surfaces : visualization, structure and modelling

2000

Conference Publication

An empirical investigation of the user-parameters and performance of continuous PBIL algorithms

Gallagher, M. R. (2000). An empirical investigation of the user-parameters and performance of continuous PBIL algorithms. NNSP 2000, Sydney, NSW Australia, 11-13 December 2000. Piscataway, NJ United States: IEEE. doi: 10.1109/nnsp.2000.890149

An empirical investigation of the user-parameters and performance of continuous PBIL algorithms

1999

Conference Publication

Real-valued evolutionary optimization using a flexible probability density estimator

Gallagher, M., Frean, M. and Downs, T. (1999). Real-valued evolutionary optimization using a flexible probability density estimator. GECCO-99, Orlando, Florida, 13-17 July, 1999. San Francisco: Morgan Kaufmann Publishers.

Real-valued evolutionary optimization using a flexible probability density estimator

1999

Journal Article

UMTS: The next generation of mobile radio

Gallagher, Mark and Webb, William (1999). UMTS: The next generation of mobile radio. IEE Review, 45 (2), 59-63.

UMTS: The next generation of mobile radio

1996

Journal Article

An embedded HF frequency management system

Ripley, M. W., Darnell, M. and Gallagher, M. (1996). An embedded HF frequency management system. IEE Colloquium (Digest) (24)

An embedded HF frequency management system

1996

Journal Article

Passive monitoring for improved HF frequency management

Piggin, P. W., Darnell, M. and Gallagher, M. (1996). Passive monitoring for improved HF frequency management. IEE Colloquium (Digest) (24)

Passive monitoring for improved HF frequency management

1996

Journal Article

A flexible, low-cost, ionospheric sounding system

Bartlett, A., Darnell, M. and Gallagher, M. (1996). A flexible, low-cost, ionospheric sounding system. IEE Colloquium (Digest) (24)

A flexible, low-cost, ionospheric sounding system

1996

Journal Article

The XK8 engine management system and electronic engine control module

Gallagher, Mark (1996). The XK8 engine management system and electronic engine control module. IEE Colloquium (Digest) (281)

The XK8 engine management system and electronic engine control module

1996

Conference Publication

Passive monitoring for improved HF frequency management

Piggin, P. W., Darnell, M. and Gallagher, M. (1996). Passive monitoring for improved HF frequency management. IEE.

Passive monitoring for improved HF frequency management

1996

Conference Publication

Embedded HF frequency management system

Ripley, M. W., Darnell, M. and Gallagher, M. (1996). Embedded HF frequency management system. IEE.

Embedded HF frequency management system

1996

Conference Publication

Flexible, low-cost, ionospheric sounding system

Bartlett, A., Darnell, M. and Gallagher, M. (1996). Flexible, low-cost, ionospheric sounding system. IEE.

Flexible, low-cost, ionospheric sounding system

1995

Conference Publication

Channel evaluation from predicted zero crossing analysis

Piggin, P. W. and Gallagher, M. (1995). Channel evaluation from predicted zero crossing analysis. IEEE.

Channel evaluation from predicted zero crossing analysis

1995

Conference Publication

HF DSP based frequency management system

Ripley, M., Gallagher, M. and Darnell, M. (1995). HF DSP based frequency management system. Proceeding of the 6th International Conference on Radio Receivers and Associated Systems, , , September 26, 1995-September 27, 1995. IEE.

HF DSP based frequency management system

1995

Conference Publication

Spectrally efficient oblique ionospheric sounding

Bartlett, A., Gallagher, M. and Darnell, M. (1995). Spectrally efficient oblique ionospheric sounding. IEE.

Spectrally efficient oblique ionospheric sounding

1994

Conference Publication

Advanced radio system architectures to integrate network and frequency management

Gallagher, M., Bennett, S. A.W., Darnell, M. and Honary, B. (1994). Advanced radio system architectures to integrate network and frequency management. Publ by IEE.

Advanced radio system architectures to integrate network and frequency management

1994

Conference Publication

In-band multi-user transmission schemes for HF communications

Quirke, T. M., Yung, H. M., Darnell, M. and Gallagher, M. (1994). In-band multi-user transmission schemes for HF communications. Publ by IEE.

In-band multi-user transmission schemes for HF communications

1994

Conference Publication

Extraction, analysis and interpretation of digital ionograms

Bartlett, A., Gallagher, M. and Darnell, M. (1994). Extraction, analysis and interpretation of digital ionograms. Publ by IEE.

Extraction, analysis and interpretation of digital ionograms

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

    Generating data-driven continuous optimization problems for benchmarking

    Principal Advisor

    Other advisors: Professor Brian Lovell

  • Doctor Philosophy

    Improving neuroevolution using ideas from deep learning and optimization

    Principal Advisor

    Other advisors: Associate Professor Archie Chapman

  • Doctor Philosophy

    Evolving Modular Neural Networks: Investigating the Role of Modularity and Linkage Learning in Neuroevolution

    Principal Advisor

    Other advisors: Associate Professor Archie Chapman

  • Doctor Philosophy

    Adaptive Curriculums for Robotic Reinforcement Learning

    Principal Advisor

  • Doctor Philosophy

    Generating data-driven continuous optimization problems for benchmarking

    Principal Advisor

    Other advisors: Professor Brian Lovell

  • Doctor Philosophy

    Improving neuroevolution using ideas from deep learning and optimization

    Principal Advisor

    Other advisors: Associate Professor Archie Chapman

  • Doctor Philosophy

    Evolutionary search operators and problem structure in variable-length optimisation

    Principal Advisor

    Other advisors: Dr Ian Wood

  • Doctor Philosophy

    Hybrid local/global optimisation for the design of diverse structures

    Principal Advisor

  • Doctor Philosophy

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

    Principal Advisor

    Other advisors: Associate Professor Archie Chapman

  • 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

    Other advisors: Dr Slava Vaisman

  • Doctor Philosophy

    Digital simulation and model guided optimisation of light driven cell factories

    Associate Advisor

    Other advisors: Dr Juliane Wolf, Professor Ben Hankamer

  • Doctor Philosophy

    Medical Image Segmentation with Limited Annotated Data

    Associate Advisor

    Other advisors: Professor Brian Lovell

  • Doctor Philosophy

    Towards Practical Machine Learning Based Network Intrusion Detection

    Associate Advisor

    Other advisors: Dr Siamak Layeghy, Professor Marius Portmann

  • Doctor Philosophy

    Towards Autonomous Network Security

    Associate Advisor

    Other advisors: Dr Siamak Layeghy, Professor Marius Portmann

  • Doctor Philosophy

    Towards Autonomous Network Security

    Associate Advisor

    Other advisors: Professor Marius Portmann, Dr Siamak Layeghy

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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