Journal Articles

1. Ip, R.H.L., Bewong, M., Adnan, M.N. and Islam, M.Z. (2024). Estimating the structural diversity introduced by decision forest algorithms: A probabilistic approach. Knowledge-Based Systems, 286, 111435. [link]

2. Ip, R.H.L., Wu, K.Y.K. (2024). A Markov random field model with cumulative logistic functions for spatially dependent ordinal data. Journal of Applied Statistics, 51(1), 70 - 86. [link]

3. Gardner, J., Huang, B. and Ip, R.H.L. (2023). Oral health knowledge is associated with oral health-related quality of life: a survey of first-year undergraduate students enrolled in an American university. BMC Oral Health 23, 961. [link]

4. Rahman, A., Kuddus, M.A., Ip, R.H.L., Bewong, M. (2023). Modelling COVID-19 control strategies in metropolitan and rural health districts in New South Wales, Australia. Scientific Reports 13, 13052. [link] 

5. Godfrey, S., Nordblom, T.L., Anwar, M.R., Ip, R.H.L., Luckett, D.J., Bange, M.P. (2023). Untangling the complex mix of agronomic and economic uncertainties inherent in decisions on rainfed cotton. Crop and Pasture Science 74(12), 1223 - 1237. [link] 

6. Maphosa, L., Anwar, M.R., Luckett, D.J., Ip, R.H.L., Chauhan, Y. and Richards, M.F. (2022). Impact of sowing time and genotype on water use efficiency of lentil (Lens culinaris Medick.). Agronomy 12(7), 1542. [link] 

7. Al-Humairi, A., Ip, R.H.L., Spuur, K., Zheng, X. and Huang, B. (2022). Visual grading experiments and optimization in CBCT dental implantology imaging: preliminary application of integrated visual grading regression. Radiation and Environmental Biophysics 61(1), 133 - 145. [link]

8. Godfrey, S.S., Ip, R.H.L. and Nordblom, T. (2022). Risk analysis of Australia's Victorian dairy farms using multivariate copulae. Journal of Agricultural and Applied Economics 54(1), 72 - 92. [link]

9. Anwar, M.R., Luckett, D.J., Chauhan, Y.S., Ip, R.H.L., Maphosa, L., Simpson, M., Warren, A., Raman, R., Richards, M.F., Pengilley, G., Hobson, K. and Graham, N. (2022). Modelling the effects of cold temperature during the reproductive stage on the yield of chickpea (Cicer arietinum L.). International Journal of Biometeorology 66(1), 111 - 125. [link]

10. Rahman, A., Kuddus, M.A., Ip, R.H.L. and Bewong, M. (2021). A review of COVID-19 modelling strategies in three countries to develop a research framework for regional areas. Viruses 13(11), 2185. [link]

11. Bhatti, M.A., Godfrey, S.S., Ip, R.H.L., Kachiwala, C., Hovdhaugen, H., Banda, L.J., Limuwa, M., Wynn, P.C., Ådnøy, T. and Eik, L.O. (2021). Diversity of sources of income for smallholder farming communities in Malawi: Importance for improved livelihood. Sustainability 13(17), 9599. [link] 

12. Ip, R.H.L., Demskoi, D., Rahman, A. and Zheng, L. (2021). Evaluation of COVID-19 mitigation policies in Australia using generalised space-time autoregressive intervention models. International Journal of Environmental Research and Public Health 18(14), 7474. [link]

13. Adnan, M.N., Ip, R.H.L., Bewong, M. and Islam, M.Z. (2021). BDF: A new decision forest algorithm. Information Sciences, 569, 687 - 705. [link] 

14. Godfrey, S., Nordblom, T., Ip, R.H.L., Robertson, S., Hutchings, T. and Behrendt, K.  (2021). Drought shocks and gearing impacts on the profitability of sheep farming. Agriculture 11(4), 366. [link]

15. Bhatti, M.A., Godfrey, S., Ip, R.H.L., Gaarder, M.O., Aslam, S., Steinheim, G., Wynn, P., Hopkins, D.L., Horneland, R., Eik, L.O. and Ådnøy, T. (2021). An exploratory study of Muslim consumers’ halal meat purchasing intentions in Norway. Acta Agriculturae Scandinavica, Section A - Animal Science, 70(1), 61 - 70. [link]

16. Ip, R.H.L. and Wu, K.Y.K. (2020). A note on discrete multivariate Markov random field models. Statistics and Probability Letters 156, 108588. [link] 

17. Allan, J., Ip, R.H.L., Kemp, M. and Snowdon, N. (2019). Increased demand for amphetamine treatment in rural Australia. Addiction Science & Clinical Practice 14,13. [link] 

18. Broster, J.C., Pratley, J.E., Ip, R.H.L., Ang, L.M. and Seng, K.P. (2019). A quarter of a century of monitoring herbicide resistance in Lolium rigidum in Australia. Crop & Pasture Science 70(3), 283 - 293. [link] 

19. Broster, J.C., Pratley, J.E., Ip, R.H.L., Ang, L.M. and Seng, K.P. (2019). Cropping practices influence herbicide resistance incidence in annual ryegrass (Lolium rigidum) in Australia. Crop & Pasture Science 70(1), 77 - 84. [link] 

20. Ip, R.H.L., Ang, L.M., Seng, K.P., Broster, J.C. and Pratley, J.E. (2018). Big data and machine learning for crop protection. Computers and Electronics in Agriculture 151, 367 - 383. [link] 

21. Ip, R.H.L. and Li, W.K. (2017). A class of valid Matérn cross-covariance functions for multivariate spatio-temporal random fields. Statistics and Probability Letters 130, 115 - 119. [link] 

22. Ip, R.H.L. and Li, W.K. (2017). On some Matérn covariance functions for spatio-temporal random fields. Statistica Sinica 27(2), 805 - 822. [link] 

23. Ip, R.H.L. and Li, W.K. (2016). Matérn cross-covariance functions for bivariate spatio-temporal random fields. Spatial Statistics 17, 22 - 37. [link] 

24. Ip, R.H.L. and Li, W.K. (2015). Time varying spatio-temporal models. Spatial Statistics 14, 269 – 285. [link] 

25. Ip, R.H.L., Li, W.K. and Leung, K.M.Y. (2013). Seemingly unrelated intervention time series models for effectiveness evaluation of large scale environmental remediation. Marine Pollution Bulletin 74(1), 56 – 65. [link] 

Conference Papers

26. Halder, S., Bewong, M., Mahboubi, A., Jiang, Y., Islam, R., Islam, M.Z., Ip, R.H.L., Ahmed, M.E., Ramachandran, G.S. and Babar, M.A. (2024). Malicious package detection using metadata information. The 2024 ACM Web Conference, 13 - 17 May 2024, Singapore. Accepted. [Preprint available here]

27. Anwar, M., Chauhan, Y., Luckett, D., Ip, R.H.L., Maphosa, L., Simpson, M., Raman, R., Richards, M., Preston, A., Pengilley, G., Hobson, K. and Graham, N. (2022). Manipulating flowering time in chickpeas to minimise frost risk, water and heat stress. Proceedings of the 20th Australian Agronomy Conference, 18-22 September 2022, Toowoomba, Qld, Australia. [link to conference proceedings]

28. Godfrey, S., Nordblom, T. and Ip, R.H.L. (2022). Business and financial risk profiles for irrigated cotton in the Murrumbidgee catchment of Southern New South Wales. Proceedings of the 20th Australian Agronomy Conference, 18-22 September 2022, Toowoomba, Qld, Australia. [link to conference proceedings]

29. Godfrey, S., Nordblom, T., Ip, R.H.L. and Hutchings, T. (2020). Dairying regions in Victoria: Risk profiles using historical data and @RISK®. The 64th Australasian Agricultural & Resource Economics Society (AARES) Annual Conference, Perth, WA, 12 - 14 Feb 2020. [link]

30. Godfrey, S., Nordblom, T., Ip, R.H.L., Robertson, S. and Hutchings, T. (2019). Using GrassGro® with @RISK®: Merino ewe / first-cross lamb enterprise risk profiles with variable prices and weather. The 63rd Australasian Agricultural & Resource Economics Society (AARES) Annual Conference, Melbourne, VIC, 12 - 15 Feb 2019. [link]

31. Ip, R.H.L. (2019) The role of statistics education in the big data era. In: Islam R. et al. (eds) Data Mining. AusDM 2018. Communications in Computer and Information Science 996, pp 281-288. [link]

32. Al-Humairi, A., Zheng, X., Ip, R.H.L. and El Masoud, B. (2016). Radiation dose image quality optimization in dental implantalogy. International Conference on Applied Mathematics, Simulation and Modelling (AMSM 2016), 403 - 406. [link]

33. Al-Humairi, A., Zheng, X., Ip, R.H.L. and El Masoud, B. (2016). Computed tomography image quality evaluation for pre-surgical dental implant site assessment using different exposure setting protocols: Mandibular phantom study. Proceedings of the 4th IIAE International Conference on Intelligent Systems and Image Processing 2016, 300 - 305. [link]

Public Commissioned Reports

34. Brown, K., Schirmer, J., Amorsen, G., van Kerkhoff, L., Lade, S., Merritt, W., Lei, H., Lei, W., Zheng, L., Rahman, A., Islam, M.Z., Bewong, M., Ip, R.H.L., Amirghasemi, M., Moore, A. and Ogie, R. (2023). Sharing early insights for more resilient communities: Stage 1 report. Southern NSW Drought Resilience Adoption and Innovation Hub. [link]

35. Bewong, M., Ip, R.H.L., Lewis, C., Krivokapic-Skoko, B., Islam, M.Z., Al-Saggaf, Y., Medway, J., Ali, B. and Dixon, E. (2023). Potential implications and benefits for the agricultural technology sector from the introduction of the Australian Agricultural Data Exchange. Food Agility CRC, Sydney, NSW Australia. [link]

36. Iner, D., Asquith, N., Ip, R.H.L., Islam, Z., Mason, G., Vergani, M. and Zayied, I. (2019). Islamophobia in Australia - II (2016-2017). Sydney: Charles Sturt University. [link]

PhD Thesis

37. Ip, R.H.L. (2015). On Some Topics in Spatio-Temporal Modelling. PhD Thesis. University of Hong Kong, Hong Kong SAR. [link]

Contact

School of Computing, Mathematics and Engineering

Charles Sturt University

Room 111, Building 1, Boorooma Street

Wagga Wagga, NSW 2678

Australia

Tel.: +61 2 6933 2225

Email: hoip@csu.edu.au