Dr Ian Wood
Dr

Ian Wood

Email: 
Phone: 
+61 7 336 56139

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

Information and Computing Sciences Statistics

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

Search Professor Ian Wood’s works on UQ eSpace

34 works between 1998 and 2023
All (34) Journal Article (20) Conference Publication (13) Other Outputs (1)

1 - 20 of 34 works

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

InSpectra – A Platform for Identifying Emerging Chemical Threats

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

A modified expectation-maximization algorithm for latent Gaussian graphical model

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

ORAI1 regulates sustained cytosolic free calcium fluctuations during breast cancer cell apoptosis and apoptotic resistance via a STIM1 independent pathway

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

A novel mutation operator for variable length algorithms

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

Direct feature evaluation in black-box optimization using problem transformations

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

A model-based framework for black-box problem comparison using gaussian processes

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).

Size does matter: A simulation study of hospital size and operational efficiency

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

Asymptotic normality of the maximum pseudolikelihood estimator for fully visible boltzmann machines

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

A block successive lower-bound maximization algorithm for the maximum pseudo-likelihood estimation of fully visible Boltzmann machines

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

Mixtures of spatial spline regressions for clustering and classification

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

Maximum pseudolikelihood estimation for mixture-Markov random field segmentation of the brain

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

Characterizing Uncertainty in High-Density Maps from Multiparental Populations

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

Analysis of the genome and transcriptome of Cryptococcus neoformans var. grubii reveals complex RNA expression and microevolution leading to virulence attenuation

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

The H99 family tree: variation in the common laboratory reference strains of Cryptococcus neoformans var. grubii characterised through whole-genome sequencing

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

Automated discovery of multi-faceted ontologies for accurate query answering and future semantic reasoning

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

A robust permutation test for quantitative SILAC proteomics experiments

2012

Conference Publication

Variable selection in statistical models using population-based incremental learning with applications to genome-wide association studies

Nguyen, Hien D. and Wood, Ian A. (2012). Variable selection in statistical models using population-based incremental learning with applications to genome-wide association studies. 2012 IEEE World Congress on Computational Intelligence (IEEE-WCCI 2012), Brisbane Australia, 10-15 June 2012. Piscataway NJ, United States: I E E E. doi: 10.1109/CEC.2012.6256577

Variable selection in statistical models using population-based incremental learning with applications to genome-wide association studies

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

TAM-EDA: multivariate t distribution, archive and mutation based estimation of distribution algorithm

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

Approximating the tail of the Anderson–Darling distribution

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

Microevolution of Cryptococcus neoformans driven by massive tandem gene amplification

Availability

Dr Ian Wood is:
Available for supervision

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Supervision history

Current supervision

Completed supervision

Enquiries

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