Overview
Background
Dr Richard Bean is an affiliate at the UQ Cyber Research Centre.
Richard brings to his work a rich background in data science honed in academia in Australia and Iran, as well as in government (Queensland Health) and industry sectors (ROAM Consulting, Redback, and the Australian Energy Market Operator). With over 60 publications to his name, his research interests span a wide range of areas, including combinatorics, statistics, power systems, classical cryptography, and transport. He is a Fellow of the Australian Institute of Energy and current chair of the Newcastle branch.
Richard is well-known in the public sphere, frequently appearing on radio shows to share his insights into the solutions for various unsolved ciphers. His research extends into areas of national science and research priorities, such as Energy, Transport, Health, and Cyber Security.
In addition to his academic pursuits, Richard has a passion for cycling and is active in cycling advocacy. He also enjoys tackling classical cryptography challenges in his free time.
Availability
- Dr Richard Bean is:
- Not available for supervision
- Media expert
Qualifications
- Doctor of Philosophy, The University of Queensland
Research interests
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Renewable energy
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Power systems
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Combinatorics
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Classical cryptography
Research impacts
Richard has previously focused his research on a broad array of topics. These include the combinatorics of Latin squares and designs, the analysis of gene microarray expression data, clustering techniques, and scheduling battery charging using energy forecasting. His research in transport has shed light on the effect of weather and land-use on bike share demand in cities worldwide.
Whether in academia, industry, or the public sphere, Richard's work consistently strives to make an impact by shedding new light on complex data and helping to shape the future of energy, transport, health, and cyber security.
Works
Search Professor Richard Bean’s works on UQ eSpace
2017
Book Chapter
Clustering
McLachlan, G. J., Bean, R. W. and Ng, S. K. (2017). Clustering. Bioinformatics Vol. II: Structure, Function, and Applications. (pp. 345-362) edited by Jonathan M. Keith. New York, NY, United States: Humana Press. doi: 10.1007/978-1-4939-6613-4_19
2016
Journal Article
How does our natural and built environment affect the use of bicycle sharing?
Mateo-Babiano, Iderlina, Bean, Richard, Corcoran, Jonathan and Pojani, Dorina (2016). How does our natural and built environment affect the use of bicycle sharing?. Transportation Research Part A: Policy and Practice, 94, 295-307. doi: 10.1016/j.tra.2016.09.015
2011
Conference Publication
Calculation of minimum reserve levels for the Australian national electricity market
Bean, Richard and Vanderwaal, Ben (2011). Calculation of minimum reserve levels for the Australian national electricity market. 17th Power Systems Computation Conference, Stockholm, Sweden, 22-26 August 2011. Red Hook, NY, United States: Curran Associates.
2008
Book Chapter
Clustering
McLachlan, G. J., Bean, R. W. and Ng, S.-K. (2008). Clustering. Bioinformatics, volume 2: Structure, function and applications. (pp. 423-439) edited by J. M. Keith. New Jersey, United States: Humana Press. doi: 10.1007/978-1-60327-429-6_22
2008
Journal Article
Bivariate mixture modeling of transferrin saturation and serum ferritin concentration in Asians, African Americans, Hispanics, and whites in the Hemochromatosis and Iron Overload Screening (HEIRS) Study
McLaren, C. E., Gordeuk, V. R., Chen, W. -P., Barton, J. C., Action, R. T., Speechley, M., Castro, O., Adams, P. C., Snively, B. M., Harris, E. L., Reboussin, D. M., McLachlan, G. J. and Bean, R. (2008). Bivariate mixture modeling of transferrin saturation and serum ferritin concentration in Asians, African Americans, Hispanics, and whites in the Hemochromatosis and Iron Overload Screening (HEIRS) Study. Translational Research, 151 (2), 97-109. doi: 10.1016/j.trsl.2007.10.002
2008
Book Chapter
Clustering of microarray data via mixture models
McLachlan, Geoffrey J., Ng, Angus and Bean, Richard W. (2008). Clustering of microarray data via mixture models. Statistical advances in the biomedical sciences: clinical trials, epidemiology, survival analysis, and bioinformatics. (pp. 365-383) edited by Atanu Biswas, Sujay Datta, Jason P. Fine and Mark R. Segal. Hoboken, NJ, United States: John Wiley & Sons. doi: 10.1002/9780470181218.ch21
2007
Journal Article
Application of gene shaving and mixture models to cluster microarray gene expression data
Do, K. A., McLachlan, G. J., Bean, R. W. and Wen, S. (2007). Application of gene shaving and mixture models to cluster microarray gene expression data. Cancer Informatics, 5, 25-43. doi: 10.1177/117693510700500002
2007
Journal Article
Extension of the Mixture of Factor Analyzers Model to Incorporate the Multivariate t-Distribution
McLachlan, G. J., Bean, R. W. and Jones, L. B. T. (2007). Extension of the Mixture of Factor Analyzers Model to Incorporate the Multivariate t-Distribution. Computational Statistics & Data Analysis, 51 (11), 5327-5338. doi: 10.1016/j.csda.2006.09.015
2007
Conference Publication
Subpopulations with iron deficiency, liver disease, or HFE mutations revealed by statistical mixture modeling of transferrin saturation and serum ferritin concentration in Asians, African American, Hispanics, and Whites
McLaren, C. E., Gordeuk, V. R., Chen, W. P., Barton, J. C., Acton, R. T., Speechley, M., Castro, O., Adams, P. C., Snively, B. M., Harris, E. L., Reboussin, D. M., McLachlan, G. J., Bean, R. and McLaren, G. D. (2007). Subpopulations with iron deficiency, liver disease, or HFE mutations revealed by statistical mixture modeling of transferrin saturation and serum ferritin concentration in Asians, African American, Hispanics, and Whites. 49th Annual Meeting of the American Society of Hematology, Atlanta, GA, U.S.A., 8 - 11 December 2007. Washington, DC, U.S.A.: American Society of Hematology.
2006
Journal Article
Mixture models for detecting differentially expressed genes in microarrays
Jones, L. B. T., Bean, R., McLachlan, G. J. and Zhu, J. X. (2006). Mixture models for detecting differentially expressed genes in microarrays. International Journal of Neural Systems, 16 (5), 353-362. doi: 10.1142/S0129065706000755
2006
Journal Article
Robust cluster analysis via mixture models
McLachlan, G J, Ng, S K and Bean, R W (2006). Robust cluster analysis via mixture models. Austrian Journal of Statistics, 35 (2 & 3), 157-174.
2006
Conference Publication
Issues of robustness and high dimensionality in cluster analysis
Basford, Kaye, McLachlan, Geoff and Bean, Richard (2006). Issues of robustness and high dimensionality in cluster analysis. 17th Symposium on Computational Statistics (COMSTAT 2006), Rome, Italy, 28 August - 1 September 2006. Rome, Italy: Physica-Verlag. doi: 10.1007/978-3-7908-1709-6_1
2006
Journal Article
Latin trades on three or four rows
Bean, Richard (2006). Latin trades on three or four rows. Discrete Mathematics, 306 (23), 3028-3041. doi: 10.1016/j.disc.2005.06.040
2006
Conference Publication
Clustering replicated microarray data in mixtures of random effects models for varius covariance structures
Ng, S K, McLachlan, G J, Bean, R W and NG, SW (2006). Clustering replicated microarray data in mixtures of random effects models for varius covariance structures. 2006 Workshop on Intelligent Systems for Bioinformatics (WISB, Hobart, Australia, 4 December 2006. Sydney: The Australian Computer Society.
2006
Journal Article
A simple implementation of a normal mixture approach to differential gene expression in multiclass microarrays
McLachlan, GJ, Bean, RW and Jones, LBT (2006). A simple implementation of a normal mixture approach to differential gene expression in multiclass microarrays. Bioinformatics, 22 (13), 1608-1615. doi: 10.1093/bioinformatics/btl148
2005
Journal Article
Critical sets in the elementary abelian 2- And 3-groups
Bean, Richard (2005). Critical sets in the elementary abelian 2- And 3-groups. Utilitas Mathematica, 68, 53-61.
2005
Journal Article
Using mixture models to detect differentially expressed genes
McLachlan, G. J., Bean, R. W., Jones, L. and Zhu, J. X. (2005). Using mixture models to detect differentially expressed genes. Australian Journal Of Experimental Agriculture, 45 (7-8), 859-866. doi: 10.1071/EA05051
2005
Journal Article
Cluster analysis of high-dimensional data: A case study
Bean, R and McLachlan, G (2005). Cluster analysis of high-dimensional data: A case study. Intelligent Data Engineering And Automated Learning Ideal 2005, Proceedings, 3578 (-), 302-310.
2005
Conference Publication
Application of mixture models to detect differentially expressed genes
Jones, LBT, Bean, R, McLachlan, G and Zhu, J (2005). Application of mixture models to detect differentially expressed genes. Berlin: Springer-Verlag Berlin. doi: 10.1007/11508069_55
2004
Journal Article
Clustering objects on subsets of attributes - Discussion
Hand, DJ, Glasbey, C, Husmeier, D, Gower, JC, van Houwelingen, HC, Bugrien, JB, Nason, G, Critchley, F, Hoff, PD, McLachlan, GJ and Bean, RW (2004). Clustering objects on subsets of attributes - Discussion. Journal of The Royal Statistical Society Series B-statistical Methodology, 66 (4), 839-849.
Media
Enquiries
Contact Dr Richard Bean directly for media enquiries about:
- ciphers
- codes
- combinatorics
- cryptanalysis
- cryptography
- cryptology
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