Professor Rao Kotagiri

  • Room: Level: 07 Room: 710
  • Building: Doug McDonell Building
  • Campus: Parkville

Research interests

  • Machine Learning, Artificial Intelligence, Data Mining, Big Data Analytics, Information Retrieval, Cloud Computing, Network Security. (Artificial Intelligence, Machine Learning, Data mining, Databases, Information Retrieval)

Personal webpage

http://www.cloudbus.org/rao/

Biography

Current research interests 

Machine Learning and Data mining
Robust Agent Systems
Information Retrieval
Intrusion Detection
Logic Programming and Deductive Databases
Distributed Systems
Bioinformatics and Medical Imaging

Recent publications

  1. Wen Z, Deng D, Zhang R, Kotagiri R. 2ED: An efficient entity extraction algorithm using two-level edit-distance. 2019 IEEE 35th International Conference on Data Engineering (ICDE). IEEE Computer Society. 2019, Vol. 2019-April. DOI: 10.1109/ICDE.2019.00093
  2. He J, Qi J, Kotagiri R. A joint context-aware embedding for trip recommendations. 2019 IEEE 35th International Conference on Data Engineering (ICDE). IEEE Computer Society. 2019, Vol. 2019-April. DOI: 10.1109/ICDE.2019.00034
  3. Kardani Moghaddam S, Buyya R, Kotagiri R. ACAS: An anomaly-based cause aware auto-scaling framework for clouds. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING. Academic Press. 2019, Vol. 126. DOI: 10.1016/j.jpdc.2018.12.002
  4. DemiroviĆ E, Stuckey PJ, Bailey J, Chan J, Leckie C, Kotagiri R, Guns T. An Investigation into PredictionÂ�Â�Optimisation for the Knapsack Problem. 16th International Conference, CPAIOR 2019, Thessaloniki, Greece, June 4–7, 2019, Proceedings. Springer Verlag. 2019, Vol. 11494 LNCS. DOI: 10.1007/978-3-030-19212-9_16
  5. Kottaram A, Johnston L, Cocchi L, Ganella E, Everall I, Pantelis C, Kotagiri R, Zalesky A. Brain network dynamics in schizophrenia: Reduced dynamism of the default mode network. HUMAN BRAIN MAPPING. Wiley-Liss. 2019, Vol. 40, Issue 7. DOI: 10.1002/hbm.24519
  6. Zameni M, Ghafoori Z, Sadri A, Leckie C, Kotagiri R. Change Point Detection for Streaming High-Dimensional Time Series. DASFAA 2019 International Workshops: BDMS, BDQM, and GDMA, Chiang Mai, Thailand, April 22–25, 2019, Proceedings. Springer Verlag. 2019, Vol. 11448 LNCS. DOI: 10.1007/978-3-030-18590-9_78
  7. Correa O, Khan A, Tanin E, Kulik L, Kotagiri R. Congestion-Aware Ride-Sharing. ACM Transactions on Spatial Algorithms and Systems. Association for Computing Machinery. 2019, Vol. 5, Issue 1. DOI: 10.1145/3317639
  8. Hassan MU, Rehmani MH, Kotagiri R, Zhang J, Chen J. Differential privacy for renewable energy resources based smart metering. Journal of Parallel and Distributed Computing. Academic Press. 2019, Vol. 131. DOI: 10.1016/j.jpdc.2019.04.012
  9. Ilager S, Kotagiri R, Buyya R. ETAS: Energy and thermal-aware dynamic virtual machine consolidation in cloud data center with proactive hotspot mitigation. Concurrency and Computation: Practice and Experience. John Wiley & Sons. 2019, Vol. 31, Issue 17. DOI: 10.1002/cpe.5221
  10. Jia Y, Bailey J, Kotagiri R, Leckie C, Ma X. Exploiting patterns to explain individual predictions. Knowledge and Information Systems. Springer London. 2019. DOI: 10.1007/s10115-019-01368-9
  11. Gill S, Garraghan P, Stankovski V, Casale G, Thulasiram RK, Ghosh SK, Kotagiri R, Buyya R. Holistic resource management for sustainable and reliable cloud computing: An innovative solution to global challenge. The Journal of Systems and Software. Elsevier. 2019, Vol. 155. DOI: 10.1016/j.jss.2019.05.025
  12. Jia Y, Bailey J, Kotagiri R, Leckie C, Houle ME. Improving the Quality of Explanations with Local Embedding Perturbations. 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD). Association for Computing Machinery Inc.. 2019. DOI: 10.1145/3292500.3330930
  13. Mahmud R, Kotagiri R, Buyya R. Latency-Aware Application Module Management for Fog Computing Environments. ACM TRANSACTIONS ON INTERNET TECHNOLOGY. Association for Computing Machinery Inc.. 2019, Vol. 19, Issue 1. DOI: 10.1145/3186592
  14. Sarwar T, Kotagiri R, Zalesky A. Mapping connectomes with diffusion MRI: deterministic or probabilistic tractography?. MAGNETIC RESONANCE IN MEDICINE. John Wiley & Sons. 2019, Vol. 81, Issue 2. DOI: 10.1002/mrm.27471
  15. Kardani-Moghaddam S, Buyya R, Kotagiri R. Performance anomaly detection using isolation-trees in heterogeneous workloads of web applications in computing clouds. Concurrency Computation. John Wiley & Sons. 2019. DOI: 10.1002/cpe.5306

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