Dr Aaron Harwood

  • Room: Level: 07 Room: 7.18
  • Building: Doug McDonell Building
  • Campus: Parkville

Research interests

  • Parallel and Distributed Computing (Peer-to-Peer, GPU Computing)
  • Smart Mobile Systems (Streaming Data, Mobility Analysis)
  • Social Networking (Event Detection, Topic Tracking, Influence)

Personal webpage



Dr Aaron Harwood is a Senior Lecturer in the Department of Computer Science and Software Engineering at The University of Melbourne.

Recent publications

  1. Mousavi SM, Harwood A, Karunasekera S, Maghrebi M. Enhancing the quality of geometries of interest (GOIs) extracted from GPS trajectory data using spatio-temporal data aggregation and outlier detection. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING. Dr Dietrich Steinkopff Verlag. 2018, Vol. 9, Issue 1. DOI: 10.1007/s12652-016-0426-8
  2. Jayasekara S, Karunasekera S, Harwood A. A Multi-stage Hierarchical Window Model with Application to Real-Time Graph Analysis. 2017 IEEE 37TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS 2017). IEEE Computer Society. 2017. Editors: Lee K, Liu L. DOI: 10.1109/ICDCS.2017.225
  3. Karunaratne P, Karunasekera S, Harwood A. Distributed stream clustering using micro-clusters on Apache Storm. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING. Academic Press. 2017, Vol. 108. DOI: 10.1016/j.jpdc.2016.06.004
  4. Liu X, Harwood A, Karunasekera S, Rubinstein B, Buyya R. E-Storm: Replication-Based State Management in Distributed Stream Processing Systems. Proceedings of the International Conference on Parallel Processing. CRC Press. 2017. DOI: 10.1109/ICPP.2017.66
  5. Mousavi SM, Harwood A, Karunasekera S, Maghrebi M. Geometry of interest (GOI): spatio-temporal destination extraction and partitioning in GPS trajectory data. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING. Dr Dietrich Steinkopff Verlag. 2017, Vol. 8, Issue 3. DOI: 10.1007/s12652-016-0400-5
  6. Karunaratne P, Moshtaghi M, Karunasekera S, Harwood A, Cohn T. Modelling the working week for multi-step forecasting using Gaussian process regression. IJCAI International Joint Conference on Artificial Intelligence. AAAI Press. 2017.
  7. Bukhari I, Harwood A, Karunasekera S. Optimum Benefit Protocol: A fast converging, bandwidth-efficient decentralized similarity overlay. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING. Academic Press. 2017, Vol. 109. DOI: 10.1016/j.jpdc.2017.05.013
  8. Truong T, Harwood A, Sinnott R. Predicting the stability of large-scale distributed stream processing systems on the cloud. CLOSER 2017 - Proceedings of the 7th International Conference on Cloud Computing and Services Science. 2017.
  9. Vanni M, Kase SE, Karunasekera S, Falzon L, Harwood A. RAPID: Real-time analytics platform for interactive data-mining in a decision support scenario. 5th Conference on Next-Generation Analyst. SPIE - The International Society for Optical Engineering. 2017, Vol. 10207. Editors: Hanratty TP, Llinas J. DOI: 10.1117/12.2263748
  10. Samarawickrama S, Karunasekera S, Harwood A, Kotagiri R. Search result personalization in twitter using neural word embeddings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2017, Vol. 10440 LNCS. DOI: 10.1007/978-3-319-64283-3_18
  11. Caneleo PIS, Jagathamma Mohan L, Parampalli U, Harwood A. On improving recovery performance in erasure code based geo-diverse storage clusters. 12th International Conference on the Design of Reliable Communication Networks (DRCN). IEEE. 2016. Editors: Chemouil P, Pattavina A, Gourdin E, Secci S. DOI: 10.1109/DRCN.2016.7470846
  12. Jagathamma Mohan L, Luke Harold R, Caneleo PIS, Parampalli U, Harwood A. Benchmarking the performance of Hadoop triple replication and erasure coding on a nation-wide distributed cloud. 2015 INTERNATIONAL SYMPOSIUM ON NETWORK CODING (NETCOD). IEEE. 2015. DOI: 10.1109/NETCOD.2015.7176790
  13. Feng J, Harwood A. BrowserCloud: A Personal Cloud for Browser Session Migration and Management. 24th International Conference on World Wide Web (WWW). Association for Computing Machinery Inc.. 2015. DOI: 10.1145/2740908.2743043
  14. Wang Q, Young S, Harwood A, Ong CS. Discriminative Concept Learning Network: Reveal High-level Differential Concepts from Shallow Architecture. 2015 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN). IEEE. 2015.
  15. Bukhari I, Harwood A, Karunasekera S. Effect of Similarity Distribution on the Convergence of Decentralized Similarity Overlays. Conferences in Research and Practice in Information Technology Series. Australian Computer Society. 2015, Vol. 163.

View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile