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


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. Moghaddam, SK.; Buyya, R.; Ramamohanarao, K. ACAS: An anomaly-based cause aware auto-scaling framework for clouds. Journal of Parallel and Distributed Computing. ACADEMIC PRESS INC ELSEVIER SCIENCE. 2019, Vol. 126, pp. 107-120. DOI: 10.1016/j.jpdc.2018.12.002
  2. Kottaram, A.; Johnston, LA.; Cocchi, L.; Ganella, EP.; Everall, I.; Pantelis, C.; Kotagiri, R.; Zalesky, A. Brain network dynamics in schizophrenia: Reduced dynamism of the default mode network. Human Brain Mapping. WILEY. 2019, Vol. 40, Issue 7, pp. 2212-2228. DOI: 10.1002/hbm.24519
  3. Ul Hassan, M.; Rehmani, MH.; Kotagiri, R.; Zhang, J.; Chen, J. Differential privacy for renewable energy resources based smart metering. Journal of Parallel and Distributed Computing. Elsevier BV. 2019, Vol. 131, pp. 69-80. DOI: 10.1016/j.jpdc.2019.04.012
  4. Ilager, S.; Ramamohanarao, K.; 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. Wiley. 2019, pp. e5221-e5221. DOI: 10.1002/cpe.5221
  5. Gill, SS.; Garraghan, P.; Stankovski, V.; Casale, G.; Thulasiram, RK.; Ghosh, SK.; Ramamohanarao, K.; Buyya, R. Holistic resource management for sustainable and reliable cloud computing: An innovative solution to global challenge. Journal of Systems and Software. Elsevier BV. 2019, Vol. 155, pp. 104-129. DOI: 10.1016/j.jss.2019.05.025
  6. Mahmud, R.; Ramamohanarao, K.; Buyya, R. Latency-Aware Application Module Management for Fog Computing Environments. ACM Transactions on Internet Technology. ASSOC COMPUTING MACHINERY. 2019, Vol. 19, Issue 1. DOI: 10.1145/3186592
  7. Sarwar, T.; Ramamohanarao, K.; Zalesky, A. Mapping connectomes with diffusion MRI: deterministic or probabilistic tractography?. Magnetic Resonance in Medicine. WILEY. 2019, Vol. 81, Issue 2, pp. 1368-1384. DOI: 10.1002/mrm.27471
  8. Kardani-moghaddam, S.; Buyya, R.; Ramamohanarao, K. Performance anomaly detection using isolation-trees in heterogeneous workloads of web applications in computing clouds. Concurrency and Computation: Practice and Experience. Wiley Press. 2019, pp. e5306-e5306. DOI: 10.1002/cpe.5306
  9. Hashem, T.; Kulik, L.; Ramamohanarao, K.; Zhang, R.; Soma, SC. Protecting privacy for distance and rank based group nearest neighbor queries. World Wide Web. SPRINGER. 2019, Vol. 22, Issue 1, pp. 375-416. DOI: 10.1007/s11280-018-0570-5
  10. He, J.; Qi, J.; Ramamohanarao, K. Query-aware bayesian committee machine for scalable gaussian process regression. SIAM International Conference on Data Mining, SDM 2019. Society for Industrial and Applied Mathematics. 2019, pp. 208-216. DOI: 10.1137/1.9781611975673.24
  11. Ganji, M.; Chan, J.; Stuckey, PJ.; Bailey, J.; Leckie, C.; Ramamohanarao, K.; Park, L. Semi-supervised blockmodelling with pairwise guidance. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer International Publishing. 2019, Vol. 11052 LNAI, pp. 158-174. DOI: 10.1007/978-3-030-10928-8_10
  12. Zameni, M.; Sadri, A.; Ghafoori, Z.; Moshtaghi, M.; Salim, FD.; Leckie, C.; Ramamohanarao, K. Unsupervised online change point detection in high-dimensional time series. Knowledge and Information Systems. Springer Science and Business Media LLC. 2019. DOI: 10.1007/s10115-019-01366-x
  13. Zameni, M.; He, M.; Moshtaghi, M.; Ghafoori, Z.; Leckie, C.; Bezdek, JC.; Ramamohanarao, K. Urban sensing for anomalous event detection: Distinguishing between legitimate traffic changes and abnormal traffic variability. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer International Publishing. 2019, Vol. 11053 LNAI, pp. 553-568. DOI: 10.1007/978-3-030-10997-4_34
  14. Wang, X.; Qi, J.; Kotagiri, R.; Sun, Y.; Li, B.; Zhang, R. A joint optimization approach for personalized recommendation diversification. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer. 2018, Vol. 10939 LNAI, pp. 597-609. DOI: 10.1007/978-3-319-93040-4_47
  15. Correa, O.; Tanin, E.; Kulik, L.; Ramamohanarao, K. Activity-based ride-sharing in action. Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems - SIGSPATIAL '18. ACM Press. 2018, pp. 608-611. DOI: 10.1145/3274895.3274991
  16. Hussain, MA.; Bhuiyan, A.; Ishikawa, H.; Smith, RT.; Schuman, JS.; Kotagiri, R. An automated method for choroidal thickness measurement from Enhanced Depth Imaging Optical Coherence Tomography images. Computerized Medical Imaging and Graphics. PERGAMON-ELSEVIER SCIENCE LTD. 2018, Vol. 63, pp. 41-51. DOI: 10.1016/j.compmedimag.2018.01.001
  17. Kotagiri, RR. Automatic Optical Coherence Tomography Imaging Analysis for Retinal Disease Screening using Machine Learning Techniques. 2018 IEEE International Conference on Data Mining (ICDM). IEEE. 2018, Vol. 2018-November, pp. 5-5. DOI: 10.1109/ICDM.2018.00011
  18. Hussain, MA.; Bhuiyan, A.; Luu, CD.; Smith, RT.; Guymer, RH.; Ishikawa, H.; Schuman, JS.; Ramamohanarao, K. Classification of healthy and diseased retina using SD-OCT imaging and Random Forest algorithm. PLOS ONE. PUBLIC LIBRARY SCIENCE. 2018, Vol. 13, Issue 6. DOI: 10.1371/journal.pone.0198281
  19. Qi, J.; Zhang, R.; Jensen, CS.; Ramamohanarao, K.; He, J. Continuous Spatial Query Processing: A Survey of Safe Region Based Techniques. ACM Computing Surveys. ASSOC COMPUTING MACHINERY. 2018, Vol. 51, Issue 3. DOI: 10.1145/3193835
  20. Kumar, D.; Ghafoori, Z.; Bezdek, JC.; Leckie, C.; Ramamohanarao, K.; Palaniswami, M. Dealing with Inliers in Feature Vector Data. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. WORLD SCIENTIFIC PUBL CO PTE LTD. 2018, Vol. 26, Issue Suppl.2, pp. 25-45. DOI: 10.1142/S021848851840010x

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