Personal details

Associate Professor Jim Hogan
Associate Professor
Science and Engineering Faculty,
Electrical Engineering, Computer Science,
Data Science
Discipline *
Computer Software
+61 7 3138 9328
+61 7 3138 9390
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Identifiers and profiles

PhD (Queensland University of Technology), BSc(Hons) (University of Queensland), BSc (University of Queensland)


Artificial intelligence, Bioinformatics, Cognitive science, IT legal issues, Machine learning, Natural language processing, Neural networks, Software engineering, Software internationalisation

* Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008


Research areas:
Machine Learning and Bioinformatics. Professor Hogan’s interest is in the application of machine learning methods to pattern discovery problems in bioinformatics, specifically the discovery of regulatory motifs in bacteria and resulting inference of regulatory networks and their properties. Techniques vary, but much of this work has utilised Support Vector Machines with novel Kernels tailored to the problem. There are a number of open challenges in this area.
Making Sense of Sequences: Professor Hogan leads the Bioinformatics group within the Microsoft QUT eResearch Centre, with its focus on new methods for navigating and visualising large biological data sets. The team is responsible for the SilverGene and SilverMap visualisation tools, and the BioPatML pattern description language. See the URL below for details.
Modern Internationalisation and Localisation: the challenges of large scale and on-demand localisation of (usually text-based) content. Interests and projects include Localisation standards and workflow, Localisation in the Cloud and Mashups for ad-hoc Localisation and re-use.

This information has been contributed by Associate Professor Jim Hogan.


For publications by this staff member, visit QUT ePrints, the University's research repository.