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. 2019, Vol. 2019-April, pp. 998-1009. DOI: 10.1109/ICDE.2019.00093
  2. He, J.; Qi, J.; Ramamohanarao, K. A joint context-aware embedding for trip recommendations. 2019 IEEE 35th International Conference on Data Engineering (ICDE). IEEE. 2019, Vol. 2019-April, pp. 292-303. DOI: 10.1109/ICDE.2019.00034
  3. 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
  4. Demirović, E.; Stuckey, PJ.; Bailey, J.; Chan, J.; Leckie, C.; Ramamohanarao, K.; Guns, T. An Investigation into PredictionÂ�Â�Optimisation for the Knapsack Problem. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer. 2019, Vol. 11494 LNCS, pp. 241-257. DOI: 10.1007/978-3-030-19212-9_16
  5. Li, A.; Qi, J.; Zhang, R.; Kotagiri, R. Boosted GAN with Semantically Interpretable Information for Image Inpainting. 2019 International Joint Conference on Neural Networks (IJCNN). IEEE. 2019, Vol. 2019-July. DOI: 10.1109/IJCNN.2019.8851926
  6. 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
  7. Zameni, M.; Ghafoori, Z.; Sadri, A.; Leckie, C.; Ramamohanarao, K. Change Point Detection for Streaming High-Dimensional Time Series. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer. 2019, Vol. 11448 LNCS, pp. 515-519. DOI: 10.1007/978-3-030-18590-9_78
  8. Wu, C.; Buyya, R.; Ramamohanarao, K. Cloud computing market segmentation. ICSOFT 2018 - Proceedings of the 13th International Conference on Software Technologies. SciTe Press. 2019, pp. 888-897.
  9. Wu, C.; Buyya, R.; Ramamohanarao, K. Cloud pricing models: Taxonomy, survey, and interdisciplinary challenges. ACM Computing Surveys. Association for Computing Machinery. 2019, Vol. 52, Issue 6, pp. 1-36. DOI: 10.1145/3342103
  10. Correa, O.; Khan, AKMMR.; Tanin, E.; Kulik, L.; Ramamohanarao, K. Congestion-Aware Ride-Sharing. ACM Transactions on Spatial Algorithms and Systems. Association for Computing Machinery. 2019, Vol. 5, Issue 1. DOI: 10.1145/3317639
  11. 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, pp. 69-80. DOI: 10.1016/j.jpdc.2019.04.012
  12. Ghane Ezabadi, S.; Jolfaei, A.; Kulik, L.; Kotagiri, R. Differentially private streaming to untrusted edge servers in intelligent transportation system. Proceedings - 2019 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications/13th IEEE International Conference on Big Data Science and Engineering, TrustCom/BigDataSE 2019. IEEE. 2019, pp. 781-786. DOI: 10.1109/TrustCom/BigDataSE.2019.00113
  13. 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. John Wiley & Sons Ltd.. 2019, Vol. 31, Issue 17. DOI: 10.1002/cpe.5221
  14. Wen, Z.; Shi, J.; He, B.; Chen, J.; Ramamohanarao, K.; Li, Q. Exploiting GPUs for Efficient Gradient Boosting Decision Tree Training. IEEE Transactions on Parallel and Distributed Systems. Institute of Electrical and Electronics Engineers (IEEE). 2019, Vol. 30, Issue 12, pp. 2706-2717. DOI: 10.1109/TPDS.2019.2920131
  15. Jia, Y.; Bailey, J.; Ramamohanarao, K.; Leckie, C.; Ma, X. Exploiting patterns to explain individual predictions. Knowledge and Information Systems. Springer London. 2019. DOI: 10.1007/s10115-019-01368-9
  16. Li, A.; Qi, J.; Zhang, R.; Ma, X.; Ramamohanarao, K. Generative image inpainting with submanifold alignment. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence. 2019, Vol. 2019-August, pp. 811-817. DOI: 10.24963/ijcai.2019/114
  17. 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 Inc.. 2019, Vol. 155, pp. 104-129. DOI: 10.1016/j.jss.2019.05.025
  18. Jia, Y.; Bailey, J.; Ramamohanarao, K.; Leckie, C.; Houle, ME. Improving the quality of explanations with local embedding perturbations. Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining - KDD '19. ACM. 2019, pp. 875-884. DOI: 10.1145/3292500.3330930
  19. 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
  20. 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

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