
Overview
Background
Dr. Ian Wood’s research interests are in classification, bioinformatics, stochastic optimisation, machine learning and mixture models.
He received his PhD from the University of Queensland in 2004.
Availability
- Dr Ian Wood is:
- Available for supervision
Fields of research
Qualifications
- Bachelor (Honours) of Science (Advanced), The University of Queensland
- Bachelor (Honours) of Engineering, The University of Queensland
- Doctor of Philosophy, The University of Queensland
Works
Search Professor Ian Wood’s works on UQ eSpace
2012
Journal Article
Approximating the tail of the Anderson–Darling distribution
Grace, Adam W. and Wood, Ian A. (2012). Approximating the tail of the Anderson–Darling distribution. Computational Statistics and Data Analysis, 56 (12), 4301-4311. doi: 10.1016/j.csda.2012.04.002
2011
Conference Publication
Producing new forms of engaging: High-benefit assessment for undergraduate science students
Rowland, S. L. and Wood, I. (2011). Producing new forms of engaging: High-benefit assessment for undergraduate science students. 18th Annual ASM Conference for Undergraduate Educators, Baltimore, MD, United States, 2 - 5 June 2011. United States: American Society for Microbiology. doi: 10.1128/jmbe.v12i1.298
2011
Conference Publication
Approximate record matching using hash grams
Gollapalli, Mohammed, Li, Xue, Wood, Ian and Governatori, Guido (2011). Approximate record matching using hash grams. 2011 IEEE 11th International Conference on Data Mining (ICDM 2011), Vancouver Canada, 11-14 December 2011. Piscataway, NJ, United States: IEEE. doi: 10.1109/ICDMW.2011.33
2011
Conference Publication
Ontology guided data linkage framework for discovering meaningful data facts
Gollapalli, Mohammed, Li, Xue, Wood, Ian and Governatori, Guido (2011). Ontology guided data linkage framework for discovering meaningful data facts. 7th International Conference on Advanced Data Mining and Applications (ADMA 2011), Beijing, China, 17-19 December 2011. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-25856-5_19
2010
Journal Article
Nonlinear features for single-channel diagnosis of sleep-disordered breathing diseases
Rathnayake, Suren I., Wood, Ian A., Abeyratne, Udantha R. and Hukins, Craig (2010). Nonlinear features for single-channel diagnosis of sleep-disordered breathing diseases. IEEE Transactions on Biomedical Engineering, 57 (8) 5424006, 1973-1981. doi: 10.1109/TBME.2010.2044175
2010
Conference Publication
Rebuilding a generalist biochemistry course around core concepts rather than heavy content: Painting the big picture for a large mixed-learner cohort
Rowland, S., Gillam, E. M. J., Hamilton, S. E., Ramakrishna, M., Reid, A., Smith, C., Ward, L. C., Wood, I. and Wright, A. (2010). Rebuilding a generalist biochemistry course around core concepts rather than heavy content: Painting the big picture for a large mixed-learner cohort. 21st Biennial Conference on Chemistry Education, Denton, TX, U.S.A., 1-5 August 2010.
2008
Journal Article
Investigation of the relationship between smoking and appendicitis in Australian twins
Oldmeadow, Chris, Wood, Ian, Mengersen, Kerrie, Visscher, Peter M., Martin, Nicholas G. and Duffy, David L. (2008). Investigation of the relationship between smoking and appendicitis in Australian twins. Annals of Epidemiology, 18 (8), 631-636. doi: 10.1016/j.annepidem.2008.04.004
2008
Journal Article
On selection biases with prediction rules formed from gene expression data
Zhu, J. X., McLachlan, G. J., Jones, L. B. T. and Wood, I. A. (2008). On selection biases with prediction rules formed from gene expression data. Journal of Statistical Planning and Inference, 138 (2), 374-386. doi: 10.1016/j.jspi.2007.06.003
2007
Journal Article
Classification based upon gene expression data: bias and precision of error rates
Wood, I. A., Visscher, P. M. and Mengersen, K. L. (2007). Classification based upon gene expression data: bias and precision of error rates. Bioinformatics, 23 (11), 1363-1370. doi: 10.1093/bioinformatics/btm117
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
2006
Journal Article
A meta-analytic assessment of the Thyroglobulin marker for marbling in beef cattle
Wood, Ian A., Moser, Gerhard, Burrell, Daniel L., Mengersen, Kerrie L. and Hetzel, D. Jay S. (2006). A meta-analytic assessment of the Thyroglobulin marker for marbling in beef cattle. Genetics Selection Evolution, 38 (5), 479-494. doi: 10.1051/gse:2006016
2005
Conference Publication
Comparative Mapping of Genomes
Wood, I. A., Mengersen, K. and Moser, G. (2005). Comparative Mapping of Genomes. International Workshop on Statistical Modelling (IWSM 2005), Sydney, Australia, 10-15 July, 2005. Amsterdam, The Netherlands: Statistical Modelling Scoiety.
2004
Other Outputs
Boltzmann machine learning : analysis and improvements
Wood, Ian Andrew (2004). Boltzmann machine learning : analysis and improvements. PhD Thesis, School of Information Technology and Electrical Engineering, The University of Queensland. doi: 10.14264/106803
2002
Journal Article
Empirical evidence for ultrametric structure in multi-layer perceptron error surfaces
Gallagher, Marcus, Downs, Tom and Wood, Ian (2002). Empirical evidence for ultrametric structure in multi-layer perceptron error surfaces. Neural Processing Letters, 16 (2), 177-186. doi: 10.1023/A:1019956303894
1998
Conference Publication
Demon algorithms and their application to optimization problems
Wood, and Downs, T (1998). Demon algorithms and their application to optimization problems. 2nd IEEE World Congress on Computational Intelligence (WCCI 98), Anchorage Ak, May 04-09, 1998. NEW YORK: IEEE.
Supervision
Availability
- Dr Ian Wood is:
- Available for supervision
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Supervision history
Current supervision
-
Master Philosophy
Novel methods for developing large-scale, data-driven, biologically informed bioregionalisations
Associate Advisor
Other advisors: Professor Anthony Richardson
-
Doctor Philosophy
Comprehensive characterisation of the human PFAS exposome
Associate Advisor
Other advisors: Dr Jake O'Brien, Associate Professor Sarit Kaserzon, Dr Pradeep Dewapriya, Professor Kevin Thomas
-
Doctor Philosophy
Advancing the non-target identification of per- and polyfluoroalkyl substances in environmental samples
Associate Advisor
Other advisors: Dr Jake O'Brien, Associate Professor Sarit Kaserzon, Dr Pradeep Dewapriya, Professor Kevin Thomas
-
Doctor Philosophy
Signal analysis methods for fluorescence-based sensors
Associate Advisor
Other advisors: Associate Professor Paul Shaw
-
Doctor Philosophy
Evolutionary search operators and problem structure in variable-length optimisation
Associate Advisor
Other advisors: Associate Professor Marcus Gallagher
-
Master Philosophy
Novel methods for developing large-scale, data-driven, biologically informed bioregionalisations
Associate Advisor
Other advisors: Professor Anthony Richardson
Completed supervision
-
2019
Doctor Philosophy
Maximum pseudolikelihood estimation with Markov random fields in the segmentation of brain magnetic resonance images
Principal Advisor
Other advisors: Professor Geoffrey McLachlan
-
2014
Doctor Philosophy
Estimation of Distribution Algorithms for Single- and Multi-Objective Optimization
Principal Advisor
Other advisors: Associate Professor Marcus Gallagher, Professor Dirk Kroese
-
2025
Master Philosophy
Novel methods for developing large-scale, data-driven, biologically informed bioregionalisations
Associate Advisor
Other advisors: Professor Anthony Richardson
-
2024
Doctor Philosophy
The Wealth of Features: towards a coherent cooperative game theory for feature importance
Associate Advisor
Other advisors: Associate Professor Sally Shrapnel, Professor Geoffrey McLachlan
-
2021
Doctor Philosophy
Improved Evaluation of Existing Methods in Landscape Analysis and Comparison of Black Box Optimization Problems using Regression Models
Associate Advisor
Other advisors: Associate Professor Marcus Gallagher
-
2020
Doctor Philosophy
Neural encoding models for multivariate optical imaging data
Associate Advisor
-
-
2015
Doctor Philosophy
Finite Mixture Models for Regression Problems
Associate Advisor
Other advisors: Professor Geoffrey McLachlan
-
2015
Doctor Philosophy
Data-Driven Analysis of Variables and Dependencies in Continuous Optimization Problems and Estimation of Distribution Algorithms.
Associate Advisor
Other advisors: Associate Professor Marcus Gallagher
-
2014
Doctor Philosophy
Finite Mixture Modelling using Multivariate Skew Distributions
Associate Advisor
Other advisors: Professor Geoffrey McLachlan
-
2013
Doctor Philosophy
Markov Chain Monte Carlo for Rare-Event Probability Estimation
Associate Advisor
Other advisors: Professor Dirk Kroese
-
2013
Doctor Philosophy
Data Linkage for Querying Heterogeneous Databases
Associate Advisor
Other advisors: Professor Xue Li
-
2012
Doctor Philosophy
Detection of Differentially Expressed Genes via Mixture Models and Cluster Analysis
Associate Advisor
Other advisors: Professor Geoffrey McLachlan
-
2010
Doctor Philosophy
Nonlinear analysis of respiratory signals for diagnosis of sleep disordered breathing diseases
Associate Advisor
Other advisors: Dr Udantha Abeyratne
Media
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