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
2023
Journal Article
InSpectra – A Platform for Identifying Emerging Chemical Threats
Feraud, Mathieu, O’Brien, Jake W., Samanipour, Saer, Dewapriya, Pradeep, van Herwerden, Denice, Kaserzon, Sarit, Wood, Ian, Rauert, Cassandra and Thomas, Kevin V. (2023). InSpectra – A Platform for Identifying Emerging Chemical Threats. Journal of Hazardous Materials, 455 131486, 1-15. doi: 10.1016/j.jhazmat.2023.131486
2023
Conference Publication
Development of a Composite Scaffold for Load-bearing and Biomaterial-controlled Regeneration of Zonal Articular Cartilage Properties
Abu Shaqrah, Hadeel J. N., O'shea, Donagh G., Wood, Ian, O'brien, Fergal J. and Hodgkinson, Tom (2023). Development of a Composite Scaffold for Load-bearing and Biomaterial-controlled Regeneration of Zonal Articular Cartilage Properties. Meeting of the European-Chapter of the Tissue-Engineering-and-Regenerative-Medicine-International-Society (TERMIS), Manchester England, Mar 28-31, 2023. NEW ROCHELLE: MARY ANN LIEBERT, INC.
2022
Journal Article
A modified expectation-maximization algorithm for latent Gaussian graphical model
Zheng, Chaowen, Huang, Jingfang, Wood, Ian A. and Wu, Yichao (2022). A modified expectation-maximization algorithm for latent Gaussian graphical model. Canadian Journal of Statistics, 50 (2), 612-637. doi: 10.1002/cjs.11643
2022
Journal Article
ORAI1 regulates sustained cytosolic free calcium fluctuations during breast cancer cell apoptosis and apoptotic resistance via a STIM1 independent pathway
Bassett, John J., Robitaille, Mélanie, Peters, Amelia A., Bong, Alice H. L., Taing, Meng‐Wong, Wood, Ian A., Sadras, Francisco, Roberts‐Thomson, Sarah J. and Monteith, Gregory R. (2022). ORAI1 regulates sustained cytosolic free calcium fluctuations during breast cancer cell apoptosis and apoptotic resistance via a STIM1 independent pathway. The FASEB Journal, 36 (1) e22108, e22108. doi: 10.1096/fj.202002031rr
2020
Conference Publication
A novel mutation operator for variable length algorithms
Van Ryt, Saskia, Gallagher, Marcus and Wood, Ian (2020). A novel mutation operator for variable length algorithms. AI 2020: Advances in Artificial Intelligence: 33rd Australasian Joint Conference, Canberra, ACT, Australia, 29 - 30 November 2020. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-64984-5_14
2018
Conference Publication
A model-based framework for black-box problem comparison using gaussian processes
Saleem, Sobia, Gallagher, Marcus and Wood, Ian (2018). A model-based framework for black-box problem comparison using gaussian processes. 15th International Conference on Parallel Problem Solving from Nature, PPSN 2018, Coimbra, Portugal, 8-12 September 2018. Cham, Switzerland: Springer Verlag. doi: 10.1007/978-3-319-99259-4_23
2018
Journal Article
Direct feature evaluation in black-box optimization using problem transformations
Saleem, Sobia, Gallagher, Marcus and Wood, Ian (2018). Direct feature evaluation in black-box optimization using problem transformations. Evolutionary Computation, 27 (1), 75-98. doi: 10.1162/evco_a_00247
2017
Conference Publication
Size does matter: A simulation study of hospital size and operational efficiency
Bogomolov, T., Filar, J. A., Luscombe, R., Nazarathy, Y., Qin, S., Swierkowski, P. and Wood, I. (2017). Size does matter: A simulation study of hospital size and operational efficiency. 22nd International Congress on Modelling and Simulation, Hobart, TAS Australia, 3 - 8 December 2017. Modelling and Simulation Society of Australia and New Zealand Inc. (MSSANZ).
2016
Journal Article
Asymptotic normality of the maximum pseudolikelihood estimator for fully visible boltzmann machines
Nguyen, Hien D. and Wood, Ian A. (2016). Asymptotic normality of the maximum pseudolikelihood estimator for fully visible boltzmann machines. IEEE Transactions on Neural Networks and Learning Systems, 27 (4) 7103361, 897-902. doi: 10.1109/TNNLS.2015.2425898
2016
Journal Article
A block successive lower-bound maximization algorithm for the maximum pseudo-likelihood estimation of fully visible Boltzmann machines
Nguyen, Hien D. and Wood, Ian A. (2016). A block successive lower-bound maximization algorithm for the maximum pseudo-likelihood estimation of fully visible Boltzmann machines. Neural Computation, 28 (3), 485-492. doi: 10.1162/NECO_a_00813
2016
Journal Article
Mixtures of spatial spline regressions for clustering and classification
Nguyen, Hien D., McLachlan, Geoffrey J. and Wood, Ian A. (2016). Mixtures of spatial spline regressions for clustering and classification. Computational Statistics and Data Analysis, 93, 76-85. doi: 10.1016/j.csda.2014.01.011
2016
Conference Publication
Maximum pseudolikelihood estimation for mixture-Markov random field segmentation of the brain
Chan, Amy, Wood, Ian A. and Fripp, Jurgen (2016). Maximum pseudolikelihood estimation for mixture-Markov random field segmentation of the brain. International Conference on Digital Image Computing - Techniques and Applications (DICTA), Gold Coast, Australia, 30 November-2 December 2016. Piscataway, NJ, United States: IEEE. doi: 10.1109/DICTA.2016.7797062
2014
Journal Article
Characterizing Uncertainty in High-Density Maps from Multiparental Populations
Ahfock, Daniel, Wood, Ian, Stephen, Stuart, Cavanagh, Colin R. and Huang, B. Emma (2014). Characterizing Uncertainty in High-Density Maps from Multiparental Populations. Genetics, 198 (1), 117-128. doi: 10.1534/genetics.114.167577
2014
Journal Article
Analysis of the genome and transcriptome of Cryptococcus neoformans var. grubii reveals complex RNA expression and microevolution leading to virulence attenuation
Janbon, Guilhem, Ormerod, Kate L., Paulet, Damien, Byrnes III, Edmond J., Yadav, Vikas, Chatterjee, Gautam, Mullapudi, Nandita, Hon, Chung-Chau, Billmyre, R. Blake, Brunel, François, Bahn, Yong-Sun, Chen, Weidong, Chen, Yuan, Chow, Eve W. L., Coppée, Jean-Yves, Floyd-Averette, Anna, Gaillardin, Claude, Gerik, Kimberly J., Goldberg, Jonathan, Gonzalez-Hilarion, Sara, Gujja, Sharvari, Hamlin, Joyce L., Hsueh, Yen-Ping, Ianiri, Giuseppe, Jones, Steven, Kodira, Chinnappa D., Kozubowski, Lukasz, Lam, Woei, Marra, Marco ... Dietrich, Fred S. (2014). Analysis of the genome and transcriptome of Cryptococcus neoformans var. grubii reveals complex RNA expression and microevolution leading to virulence attenuation. PLoS Genetics, 10 (4) e1004261, e1004261.1-e1004261.26. doi: 10.1371/journal.pgen.1004261
2014
Conference Publication
The H99 family tree: variation in the common laboratory reference strains of Cryptococcus neoformans var. grubii characterised through whole-genome sequencing
Ormerod, K. L., Byrnes, E. J., III, Wood, I. A., Lodge, J. K., Heitman, J. and Fraser, J. A. (2014). The H99 family tree: variation in the common laboratory reference strains of Cryptococcus neoformans var. grubii characterised through whole-genome sequencing. 9th International Conference on Cryptococcus and Cryptococcosis, Amsterdam, The Netherlands, 15-19 May 2014. Berlin, Germany: Wiley-Blackwell Verlag GmbH. doi: 10.1111/myc.12196
2013
Journal Article
Automated discovery of multi-faceted ontologies for accurate query answering and future semantic reasoning
Gollapalli, Mohammed, Li, Xue and Wood, Ian (2013). Automated discovery of multi-faceted ontologies for accurate query answering and future semantic reasoning. Data and Knowledge Engineering, 87, 405-424. doi: 10.1016/j.datak.2013.05.005
2012
Journal Article
A robust permutation test for quantitative SILAC proteomics experiments
Nguyen, Hien D., Wood, Ian and Hill, Michelle M. (2012). A robust permutation test for quantitative SILAC proteomics experiments. Journal of Integrated OMICS, 2 (2), 80-93. doi: 10.5584/jiomics.v2i2.109
2012
Journal Article
TAM-EDA: multivariate t distribution, archive and mutation based estimation of distribution algorithm
Gao, Bo and Wood, Ian (2012). TAM-EDA: multivariate t distribution, archive and mutation based estimation of distribution algorithm. ANZIAM Journal, 54 (SUPPL), C720-C746. doi: 10.0000/anziamj.v54i0.6365
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
2012
Journal Article
Microevolution of Cryptococcus neoformans driven by massive tandem gene amplification
Chow, Eve W. L., Morrow, Carl A., Djordjevic, Julianne T., Wood, Ian A. and Fraser, James A. (2012). Microevolution of Cryptococcus neoformans driven by massive tandem gene amplification. Molecular Biology and Evolution, 29 (8), 1987-2000. doi: 10.1093/molbev/mss066
Supervision
Availability
- Dr Ian Wood is:
- Available for supervision
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Supervision history
Current supervision
-
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
-
Master Philosophy
Novel methods for developing large-scale, data-driven, biologically informed bioregionalisations
Associate Advisor
Other advisors: Professor Anthony Richardson
-
Doctor Philosophy
Signal analysis methods for fluorescence-based sensors
Associate Advisor
Other advisors: Ms Guanran Zhang, Associate Professor Paul Shaw
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
-
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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