• Bandaragoda, T., Ranasinghe, W., Adikari, A., de Silva, D., Lawrentschuk, N., Alahakoon, D., ...& Bolton, D. (2018). The Patient-Reported Information Multidimensional Exploration (PRIME) Framework for Investigating Emotions and Other Factors of Prostate Cancer Patients with Low Intermediate Risk Based on Online Cancer Support Group Discussions. Annals of surgical oncology, 1-9.
  • Sultana, N., Chilamkurti, N., Peng, W., & Alhadad, R. (2018). Survey on SDN based network intrusion detection system using machine learning approaches. Peer-to-Peer Networking and Applications, 1-9.
  • Nallaperuma, D., & De Silva, D. (2017). A participatory model for multi-document health information summarisation. Australasian Journal of Information Systems, 21.
  • Ranasinghe, W., Bandaragoda, T., De Silva, D., & Alahakoon, D. (2017). A novel framework for automated, intelligent extraction and analysis of online support group discussions for cancer related outcomes. BJU international, 120(S3), 59-61.
  • Nathawitharana, N., Huang, Q., Ong, K. L., Vitartas, P., Jayaratne, M., Alahakoon, D., ... & Ahmed, T. (2017). Towards Next Generation Rubrics: An Automated Assignment Feedback System. Australasian Journal of Information Systems, 21.
  • Bandaragoda, T.R., De Silva, D. and Alahakoon, D. (2017), Automatic event detection in microblogs using incremental machine learning. Journal of the Association for Information Science and Technology.
  • Alahakoon D, Xinghuo Yu (2016) Smart Electricity Meter Data Intelligence for Future Energy Systems: A Survey, IEEE Transactions on Industrial Informatics, 12:1 pages 425-436,
  • Nathawitharana N, Alahakoon D, Matharage S. Improving the Decision Value of Hierarchical Text Clustering Using Term Overlap Detection, Australian Journal of Information Systems, Vol 19, 2015
  • Shahparvari S, Chhetri P, Abareshi A, Abbasi B, Alahakoon D, Multi-Objective Decision Analytics for Short-Notice Bushfire Evacuation: An Australian Case Study, Australian Journal of Information Systems, Vol 19, 2015
  • D De Silva, F Burstein, HF Jelinek, A Stranieri, Addressing the Complexities of Big Data Analytics in Healthcare: The Diabetes Screening Case, Australasian Journal of Information Systems
  • W Ranasinghe, D De Silva, B Ayres, T Ranasinghe, Trends in penile cancer: a comparative study between Australia, England and Wales, and the US J Sewell, SpringerPlus
  • David Carey, Kok-Leong Ong, Kay M Crossley, Meg E Morris. Predicting ratings of perceived exertion in Australian football players: methods for live estimation. Int. J. Computer Science in Sports (accepted), forthcoming in 2017.
  • David L Carey, Peter Blanch, Kok-Leong Ong, Kay M Crossley, Justin Crow and Meg E Morris. Training loads and injury risk in Australian football: Differing acute:chronic workload ratios influence match injury risk. British Journal of Sports Medicine, Oct 2016.
  • Alireza Moayedikia, Kok-Leong Ong, Yee Ling Boo, William GS Yeoh and Richard Jensen. Feature selection for high dimensional imbalanced class data using harmony search. Scientific Journal of Engineering Applications of Artificial Intelligence. Vol. 57, pp. 38 – 49, 2017.
  • Laws RA, Litterbach EKV, Denney-Wilson EA, Russell CG, Taki S, Ong KL, Elliott RM, Lymer SJ, Campbell KJ. A Comparison of Recruitment Methods for an mHealth Intervention Targeting Mothers: Lessons from the Growing Healthy Program. J Med Internet Res 2016;18(9):e248.
  • Kok-Leong Ong; Andrzej Goscinski; Yuzhang Han; Peter Brezany; Zahir Tari; Lei Yan. SSC: cloud-based data stream management in distributed environments. Int. J. of High Performance Computing and Networking, 2016 Vol.9, No.3, pp.171 – 189.
  • Elizabeth Denney-Wilson, Rachel Laws, Catherine Georgina Russell, Kok-Leong Ong, et. al. Preventing obesity in infants: the Growing healthy feasibility trial protocol. BMJ Open, 5(11): 13, January 2015. DOI:
  • Foshay, W. Yeoh, YL Boo, KL Ong and D. Mattie. A comprehensive diagnostic framework for evaluating business intelligence and analytics effectiveness. Australasian Journal of Information Systems, 19:37-55, 2015.

Book chapters

  • W. Peng, D. Alahakoon and X. Li (eds), AI 2017: Advances in Artificial Intelligence, Springer, ISBN 978-3-319-63003-8.
  • Alahakoon D and Wijenayake P, Levering Big Data for Organisational Performance Management and control, Routledge Companion to Performance Management and Control, chapter 9, to appear 2017
  • Kok-Leong Ong, Daswin De Silva, Yee Ling Boo, Ee Hui Lim, Frank Bodi, Damminda Alahakoon, Simone Leao. Big Data Applications in Engineering and Science. Big Data Concepts, Theories and Applications (eds. S. Yu and S. Guo), pp. 315-351, 2016.


  • Nallaperuma, D., De Silva, D., Alahakoon, D., & Yu, X. (2017, October). A cognitive data stream mining technique for context-aware IoT systems. In Industrial Electronics Society, IECON 2017-43rd Annual Conference of the IEEE (pp. 4777-4782). IEEE.
  • M. Jayaratne, D. Alahakoon, D. De Silva and X. Yu, "Apache spark based distributed self-organizing map algorithm for sensor data analysis," IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, 2017, pp. 8343-8349.
  • Nawaratne, R., Bandaragoda, T., Adikari, A., Alahakoon, D., De Silva, D., & Yu, X. (2017, October). Incremental knowledge acquisition and self-learning for autonomous video surveillance. In Industrial Electronics Society, IECON 2017-43rd Annual Conference of the IEEE (pp. 4790-4795). IEEE.
  • W. Peng and J.S. Gero, “Situated concept formation from interactions: An implementable constructive memory model”, Advances in Cognitive Systems Conference, Atlanta, Georgia, 2015, pp. 1-17.
  • W. Peng, P. Sokolowski, R. Patel, X. Yu and D. Alahakoon, “A multi-agent simulation framework for distributed generation with battery storage”, Industrial Electronics (ISIE), 2017 IEEE 26th International Symposium on, 37-42.
  • P. Sokolowski, W. Peng, R. Patel and X. Yu, “Roles of policy settings in distributed generation with battery storage”, IECON 2017, 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, 2017, pp. 4802-4807.
  • Nathawitharana N, Alahakoon D and De Silva D, Using semantic relatedness measures with dynamic self-organizing maps for improved text clustering, Proceedings of the International Joint Conference on Neural Networks, IEEE, 2016
  • D De Silva, D Alahakoon, X Yu, A Data Fusion Technique for Smart Home Energy Management and Analysis, International Conference on Industrial Electronics (IECON) 2016.
  • Alireza Moayedikia, Kok-Leong Ong, Yee Ling Boo. Segregator ant colony optimization with application to text clustering. Australasian Data Mining Conference, Canberra, Australia, December 2016.
  • Vitartas, P., Heath, J., Midford, S., Ong, K., Alahakoon, D. & Sullivan-Mort, G. (2016). Applications of Automatic Writing Evaluation to Guide the Understanding of Learning and Teaching. In S. Barker, S. Dawson, A. Pardo, & C. Colvin (Eds.), Show Me The Learning. Proceedings ASCILITE 2016 Adelaide (pp. 592-601).
  • Alireza Moayedikia, Kok-Leong Ong , Yee Ling Boo, William Yeoh. Bee colony based worker reliability estimation algorithm in crowdsourcing systems. Int. Conf. Machine Learning and Applications, Anaheim, California, December 2016.
  • Vitartas, Peter; Ahmed, Tanvir; Alahakoon, Damminda; Midford, Sarah; Nathawitharana, Nilupulee; Ong, Kok-Leong; Mort, Gillian. Using Learning Analytics to Guide Learning: An Analysis of Marketing Assignments. Australia and New Zealand Marketing Academy Conference, Christchurch, New Zealand, December 2016.
  • Qing Huang, Kok-Leong Ong and Damminda Alahakoon. Improving Bridge Deterioration Modelling Using Rainfall Data from the Bureau of Meteorology. Australasian Data Mining Conference, Vol. 168, pp. 161-168, Sydney, August 2015.