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)

141 - 146 of 146 works

1993

Journal Article

Redundancy and its implications in TLM diffusion models

Pulko, S. H., Wilkinson, A. J. and Gallagher, M. (1993). Redundancy and its implications in TLM diffusion models. International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 6 (2), 135-144. doi: 10.1002/jnm.1660060206

Redundancy and its implications in TLM diffusion models

1991

Conference Publication

Architectural considerations for adaptive digital signal processing within long-range radio communication system terminals

Gallagher, M., Darnell, M. and Clark, P. (1991). Architectural considerations for adaptive digital signal processing within long-range radio communication system terminals. Publ by IEE.

Architectural considerations for adaptive digital signal processing within long-range radio communication system terminals

1991

Conference Publication

Propagation and interference measurements for use in real-time frequency management

Gallagher, M. and Darnell, M. (1991). Propagation and interference measurements for use in real-time frequency management. Publ by IEE.

Propagation and interference measurements for use in real-time frequency management

1991

Conference Publication

Economic ionospheric sounding system using standard HF radio system elements

Gallagher, M. and Darnell, M. (1991). Economic ionospheric sounding system using standard HF radio system elements. Publ by IEE.

Economic ionospheric sounding system using standard HF radio system elements

1990

Conference Publication

Simple model of intermodulation spectra for use on a personal computer

Riley, N. G., Gallagher, M. and Prasad, K. V. (1990). Simple model of intermodulation spectra for use on a personal computer. Publ by IEE.

Simple model of intermodulation spectra for use on a personal computer

1990

Conference Publication

Synchronisation techniques for dispersive time-variable channels

Honary, B., Darnell, M., Zolghadr, F. and Gallagher, M. (1990). Synchronisation techniques for dispersive time-variable channels. Publ by IEE.

Synchronisation techniques for dispersive time-variable channels

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

    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

    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

    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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