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

http://people.eng.unimelb.edu.au/aharwood

Biography

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. Mohan LJ, Caneleo PIS, Parampalli U, Harwood A. Geo-aware erasure coding for high-performance erasure-coded storage clusters. 12th International Conference on the Design of Reliable Communication Networks (DRCN). Presses Polytechniques et Universitaires Romandes. 2018, Vol. 73, Issue 1-2. DOI: 10.1007/s12243-017-0623-2
  3. Bukhari I, Harwood A, Karunasekera S. Handling churn in similarity based clustering overlays using weighted benefit. Parallel and Distributed Computing, Applications and Technologies, PDCAT Proceedings. 2018, Vol. 2017-December. DOI: 10.1109/PDCAT.2017.00069
  4. 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
  5. Lim KH, Karunasekera S, Harwood A. ClusTop: A Clustering-based Topic Modelling Algorithm for Twitter using Word Networks. 2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA). IEEE. 2017. Editors: Nie JY, Obradovic Z, Suzumura T, Ghosh R, Nambiar R, Wang C, Zang H, Baezayates R, Hu X, Kepner J, Cuzzocrea A, Tang J, Toyoda M.
  6. 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
  7. Liu X, Harwood A, Karunasekera S, Rubinstein B, Buyya R. E-Storm: Replication-based State Management in Distributed Stream Processing Systems. 2017 46TH INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING (ICPP). CRC Press. 2017. DOI: 10.1109/ICPP.2017.66
  8. 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
  9. 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.
  10. Karunaratne P, Moshtaghi M, Karunasekera S, Harwood A, Cohn T. Multi-step Prediction with Missing Smart Sensor Data using Multi-task Gaussian Processes. 2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA). IEEE. 2017. Editors: Nie JY, Obradovic Z, Suzumura T, Ghosh R, Nambiar R, Wang C, Zang H, Baezayates R, Hu X, Kepner J, Cuzzocrea A, Tang J, Toyoda M. DOI: 10.1109/BigData.2017.8258044
  11. 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
  12. 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.
  13. 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
  14. Samarawickrama S, Karunasekera S, Harwood A, Kotagiri R. Search Result Personalization in Twitter Using Neural Word Embeddings. 19th International Conference on Big Data Analytics and Knowledge Discovery (DaWaK). Springer Verlag. 2017, Vol. 10440. Editors: Bellatreche L, Chakravarthy S. DOI: 10.1007/978-3-319-64283-3_18
  15. Lim KH, Karunasekera S, Harwood A, Falzon L. Spatial-based Topic Modelling using Wikidata Knowledge Base. 2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA). IEEE. 2017. Editors: Nie JY, Obradovic Z, Suzumura T, Ghosh R, Nambiar R, Wang C, Zang H, Baezayates R, Hu X, Kepner J, Cuzzocrea A, Tang J, Toyoda M.

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