Publications

Dr Richard Bean · 6 book chapters, 33 journal articles, 15 peer-reviewed conference papers, 11 articles in The Conversation and other media. See also Google Scholar, ORCID, Wikidata, German Wikipedia.

Book chapters

  1. R. Bean, S. Snow, X. Li, M. Glencross, A. Chapman (2025). Machine learning for energy management. In Research Handbook on Energy Management, R. Madlener and V. Bertsch (eds), Edward Elgar [DOI].
  2. R. Bean, Y. Zhang, R. K. L. Ko, X. Mao and G. Bai (2022). Preserving the privacy and cybersecurity of home energy data. Emerging Trends in Cybersecurity Applications, Springer [DOI] [PDF].
  3. D. Pojani, J. Chen, I. Mateo-Babiano, R. Bean and J. Corcoran (2020). Docked and dockless public bike-sharing schemes: research, practice and discourse. Handbook of Sustainable Transport, Edward Elgar [DOI] [PDF].
  4. G. J. McLachlan, R. W. Bean and S-K. Ng (2017). Clustering. Bioinformatics Vol. II: Structure, Function, and Applications, Humana Press, 345–362 [DOI].
  5. G. J. McLachlan, R. W. Bean and S-K. Ng (2008). Clustering. Bioinformatics, volume 2, Humana Press, 423–439 [DOI] [PDF].
  6. G. J. McLachlan, R. Bean and S. Ng (2008). Clustering of microarray data via mixture models. Statistical Advances in Biomedical Sciences, Wiley, 365–384 [DOI] [PDF].

Journal papers

  1. C. Bergmeir, F. de Nijs, E. Genov, A. Sriramulu, M. Abolghasemi, R. Bean, et al. (2025). Predict+Optimize Problem in Renewable Energy Scheduling. IEEE Access 13:60064–60087 [DOI] [PDF].
  2. R. Bean, D. Pojani and J. Corcoran (2024). Natural barriers facing female cyclists and how to overcome them: a cross-national examination of bikesharing schemes. Journal of Cycling and Micromobility Research 2:100025 [DOI] [PDF].
  3. M. Piorko, S. Lang and R. Bean (2023). Deciphering the Hermeticae Philosophiae Medulla: textual cultures of alchemical secrecy. Ambix 70(2):150–183 [DOI] [PDF].
  4. R. Bean (2023). Forecasting the Monash Microgrid for the IEEE-CIS Technical Challenge. Energies 16(3):1050 [DOI] [PDF].
  5. A. Kimpton, J. Loginova, D. Pojani, R. Bean, T. Sigler and J. Corcoran (2022). Weather to scoot? How weather shapes shared e-scooter ridership patterns. Journal of Transport Geography 104:103439 [DOI] [PDF].
  6. R. Bean, G. Lasry and F. Weierud (2022). Eavesdropping on the Biafra–Lisbon link: breaking historical ciphers from the Biafran war. Cryptologia 46(1):1–66 [DOI] [PDF].
  7. R. Bean, D. Pojani and J. Corcoran (2021). How does weather affect bikeshare use? A comparative analysis of forty cities across climate zones. Journal of Transport Geography 95:103155 [DOI] [PDF].
  8. S. Snow, R. Bean, M. Glencross and N. Horrocks (2020). Drivers behind residential electricity demand fluctuations due to COVID-19 restrictions. Energies 13(21):5738 [DOI] [PDF].
  9. R. Bean (2020). Letter from Richard Bean. Journal of the Society for Psychical Research 84(1):56–57 [PDF].
  10. W. Tushar, T. K. Saha, C. Yuen, M. I. Azim, T. Morstyn, H. V. Poor, D. Niyato and R. Bean (2020). A coalition formation game framework for peer-to-peer energy trading. Applied Energy 261:114436 [DOI] [PDF]. Top 1%
  11. R. Bean, S. Snow, M. Glencross, S. Viller and N. Horrocks (2020). Keeping the power on to home medical devices. PLoS ONE 15(7):e0235068 [DOI] [PDF].
  12. W. Tushar, T. K. Saha, C. Yuen, T. Morstyn, H. V. Poor and R. Bean (2019). Grid-influenced peer-to-peer energy trading. IEEE Transactions on Smart Grid 11(2):1407–1418 [DOI] [PDF].
  13. W. Tushar, T. K. Saha, C. Yuen, P. Liddell, R. Bean and H. V. Poor (2018). Peer-to-peer energy trading with sustainable user participation: a game theoretic approach. IEEE Access 6:62932–62943 [DOI] [PDF].
  14. I. Mateo-Babiano, R. Bean, J. Corcoran and D. Pojani (2016). How does our natural and built environment affect the use of bicycle sharing? Transportation Research Part A 94:295–307 [DOI] [PDF].
  15. C. E. McLaren, V. R. Gordeuk, …, R. Bean (2008). Bivariate mixture modeling of transferrin saturation and serum ferritin concentration in Asians, African Americans, Hispanics and whites in the HEIRS study. Translational Research 151(2):97–109 [DOI] [PDF].
  16. G. J. McLachlan, R. Bean and L. B.-T. Jones (2007). Extension of the mixture of factor analyzers model to incorporate the multivariate t-distribution. Computational Statistics & Data Analysis 51(11):5327–5338 [DOI] [PDF]. Top 1%
  17. K. Do, G. McLachlan, R. Bean and S. Wen (2007). Application of gene shaving and mixture models to cluster microarray gene expression data. Cancer Informatics 5:25–43 [DOI] [PDF].
  18. G. J. McLachlan, S.-K. Ng and R. Bean (2006). Robust cluster analysis via mixture models. Austrian Journal of Statistics 35(2&3):157–174 [DOI] [PDF].
  19. L. B.-T. Jones, R. Bean, G. J. McLachlan and J. X. Zhu (2006). Mixture models for detecting differentially expressed genes in microarrays. International Journal of Neural Systems 16(5):353–362 [DOI] [PDF].
  20. R. Bean (2006). Latin trades on three or four rows. Discrete Mathematics 306(23):3028–3041 [DOI] [PDF].
  21. G. J. McLachlan, R. Bean and L. B.-T. Jones (2006). A simple implementation of a normal mixture approach to differential gene expression in multiclass microarrays. Bioinformatics 22(13):1608–1615 [DOI] [PDF]. Top 1%
  22. G. McLachlan, R. Bean, L. B.-T. Jones and J. Zhu (2005). Using mixture models to detect differentially expressed genes. Australian Journal of Experimental Agriculture 45(8):859–866 [DOI] [PDF].
  23. R. Bean, H. Bidkhori, M. Khosravi and E. Mahmoodian (2005). k-homogeneous Latin trades. Bayreuther Mathematische Schriften 74:7 [DOI] [PDF].
  24. R. Bean (2004). Critical sets in the elementary abelian 2- and 3-groups. Utilitas Mathematica 68:53–61 [arXiv] [PDF].
  25. R. Bean (2004). The size of the smallest uniquely completable set in order 8 Latin squares. Journal of Combinatorial Mathematics and Combinatorial Computing 52:159–168 [arXiv] [PDF].
  26. J. H. Friedman and J. J. Meulman (2004). Clustering objects on subsets of attributes (with discussion). JRSS B 66(4):815–849 (note by G. J. McLachlan and R. Bean) [DOI] [PDF].
  27. G. J. McLachlan, D. Peel and R. Bean (2003). Modelling high-dimensional data by mixtures of factor analyzers. Computational Statistics & Data Analysis 41(3–4):379–388 [DOI] [PDF].
  28. P. Adams, R. Bean and A. Khodkar (2003). A census of critical sets in the Latin squares of order at most six. Ars Combinatoria 68:203–224 [PDF].
  29. R. Bean and E. S. Mahmoodian (2003). A new bound on the size of the largest critical set in a Latin square. Discrete Mathematics 267(1–3):13–21 [DOI] [PDF].
  30. G. J. McLachlan, R. Bean and D. Peel (2002). A mixture model-based approach to the clustering of microarray expression data. Bioinformatics 18(3):413–422 [DOI] [PDF]. Top 1%
  31. R. Bean, D. Donovan, A. Khodkar and A. P. Street (2002). Steiner trades that give rise to completely decomposable Latin interchanges. International Journal of Computer Mathematics 79(12):1273–1284 [DOI] [PDF].
  32. P. Adams, R. Bean and A. Khodkar (2001). Disjoint critical sets in Latin squares. Congressus Numerantium 153:33–48 [PDF].
  33. R. Bean and D. Donovan (2000). Closing a gap in the spectrum of critical sets. Australasian Journal of Combinatorics 22:191–200 [AJC] [PDF].

Conference papers

  1. M. Abolghasemi and R. Bean (2025). Understanding the asymmetric impact of forecast accuracy on decision quality. 23rd Australasian Data Science and Machine Learning Conference (AusDM'25) [Program] [PDF].
  2. R. Bean and L. Helm (2025). New records for Playfair solutions. HistoCrypt 2025 [DOI] [PDF].
  3. R. Bean, C. Gannon and S. Lang (2023). The cipher of Emperor Rudolf II's Alchemical Handbell. HistoCrypt 2023 [DOI] [PDF].
  4. R. Bean (2022). Forecasting and optimizing a microgrid for the IEEE-CIS Technical Challenge. AUPEC 2022 [DOI] [PDF].
  5. R. Bean, S. Lang and M. Piorko (2022). Solving an alchemical cipher in a shared notebook of John and Arthur Dee. HistoCrypt 2022 [DOI] [PDF].
  6. A. Balson, R. Bean, A. C. Chapman, S. Snow, S. Viller, N. Horrocks and M. Glencross (2021). On-demand batteries as a peer-to-peer service. IEEE PES ISGT Asia 2021, 1–5 [DOI] [PDF].
  7. R. Bean (2021). Cryptodiagnosis of Kryptos K4. HistoCrypt 2021 [DOI] [PDF].
  8. R. Bean (2020). The use of Project Gutenberg and hexagram statistics to help solve famous unsolved ciphers. HistoCrypt 2020 171:31–35 [DOI] [PDF].
  9. R. Bean and H. Khan (2018). Using solar and load predictions in battery scheduling at the residential level. 8th Solar Integration Workshop [arXiv] [PDF].
  10. R. Bean and B. Vanderwaal (2011). Calculation of minimum reserve levels for the Australian National Electricity Market. 17th Power Systems Computation Conference, Stockholm, 364–371 [Web] [PDF].
  11. C. E. McLaren, V. R. Gordeuk, …, R. Bean, et al. (2007). Subpopulations with iron deficiency, liver disease, or HFE mutations revealed by statistical mixture modeling of transferrin saturation and serum ferritin concentration. Blood 110(11):2672 [DOI] [PDF].
  12. S. Ng, G. McLachlan, R. Bean and S.-W. Ng (2006). Clustering replicated microarray data via mixtures of random effects models for various covariance structures. Workshop on Intelligent Systems for Bioinformatics 73:29–33 [Web] [PDF].
  13. K. Basford, G. McLachlan and R. Bean (2006). Issues of robustness and high dimensionality in cluster analysis. Compstat 2006, Physica-Verlag, 3–15 [DOI] [PDF].
  14. R. Bean and G. McLachlan (2005). Cluster analysis of high-dimensional data: a case study. IDEAL 2005, Springer LNCS, 302–310 [DOI] [PDF].
  15. L. B.-T. Jones, R. Bean, G. McLachlan and J. Zhu (2005). Application of mixture models to detect differentially expressed genes. IDEAL 2005, Springer LNCS, 422–431 [DOI] [PDF].

The Conversation and other media writing

  1. R. J. Buning, S. Lieske and R. Bean (2025). Most e-scooter riders follow the rules — here's what we found. Zag Daily.
  2. R. Bean, D. Pojani and J. Corcoran (2024). Bad weather, hills and the dark deter cyclists, but especially women. The Conversation.
  3. R. Bean, C. Gannon and S. Lang (2023). Seven metals, ringed with four magical inscriptions: the Alchemical Hand Bell. The Conversation.
  4. R. Bean and N. Horrocks (2022). How closely monitoring households' energy data can unleash their solar outputs. The Conversation.
  5. A. Kimpton, D. Pojani, J. Corcoran, J. Loginova, R. Bean and T. Sigler (2022). E-scooters are becoming wildly popular — but we have to factor in the weather. The Conversation.
  6. R. Bean, D. Pojani and J. Corcoran (2021). We analysed 100 million bike trips. The Conversation.
  7. R. Bean, M. Piorko and S. Lang (2021). Deciphering the Philosophers' Stone. The Conversation.
  8. R. Bean (2021). Declassified Cold War code-breaking manual has lessons for solving impossible puzzles. The Conversation.
  9. R. Bean, G. Lasry and F. Weierud (2020). We decrypted messages from the Biafran war that have remained secret for 50 years. The Conversation.
  10. R. Bean (2019). Cryptology from the crypt: how I cracked a 70-year-old coded message from beyond the grave. The Conversation.
  11. I. Mateo-Babiano, D. Pojani, J. Corcoran and R. Bean (2017). Here's what bike-sharing programs need to succeed. The Conversation.

PhD thesis

R. W. Bean (2001). Critical Sets in Latin Squares and Associated Structures, University of Queensland [DOI] [PDF] [HTML] [Overleaf].