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. Moghaddam, SK.; Buyya, R.; Ramamohanarao, K. ACAS: An anomaly-based cause aware auto-scaling framework for clouds. Journal of Parallel and Distributed Computing. Elsevier BV. 2019, Vol. 126, pp. 107-120. DOI: 10.1016/j.jpdc.2018.12.002
  2. 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
  3. 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
  4. 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
  5. 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
  6. Wang, X.; Qi, J.; Ramamohanarao, K.; 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
  7. Correa, O.; Kulik, L.; Tanin, E.; 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
  8. 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
  9. 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-. DOI: 10.1109/ICDM.2018.00011
  10. 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
  11. 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
  12. 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
  13. Zhang, X.; Salehi, M.; Leckie, C.; Luo, Y.; He, Q.; Zhou, R.; Kotagiri, R. Density biased sampling with locality sensitive hashing for outlier detection. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer. 2018, Vol. 11234 LNCS, pp. 269-284. DOI: 10.1007/978-3-030-02925-8_19
  14. Rodriguez, MA.; Kotagiri, R.; Buyya, R. Detecting performance anomalies in scientific workflows using hierarchical temporal memory. Future Generation Computer Systems. ELSEVIER SCIENCE BV. 2018, Vol. 88, pp. 624-635. DOI: 10.1016/j.future.2018.05.014
  15. Liu, Q.; Ghosh, S.; Li, J.; Wong, L.; Ramamohanarao, K. Discovering pan-correlation patterns from time course data sets by efficient mining algorithms. Computing. SPRINGER WIEN. 2018, Vol. 100, Issue 4, pp. 421-437. DOI: 10.1007/s00607-018-0606-9
  16. Wen, Z.; He, B.; Ramamohanarao, K.; Lu, S.; Shi, J. Efficient Gradient Boosted Decision Tree Training on GPUs. 2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS). IEEE. 2018, pp. 234-243. DOI: 10.1109/IPDPS.2018.00033
  17. Cao, L.; Sun, F.; Liu, X.; Huang, W.; Kotagiri, R.; Li, H. End-to-End ConvNet for Tactile Recognition Using Residual Orthogonal Tiling and Pyramid Convolution Ensemble. Cognitive Computation. SPRINGER. 2018, Vol. 10, Issue 5, pp. 718-736. DOI: 10.1007/s12559-018-9568-7
  18. Panyam, NC.; Verspoor, K.; Cohn, T.; Ramamohanarao, K. Exploiting graph kernels for high performance biomedical relation extraction. Journal of Biomedical Semantics. BMC. 2018, Vol. 9, Issue 1. DOI: 10.1186/s13326-017-0168-3
  19. Aye, ZMM.; Rubinstein, BIP.; Ramamohanarao, K. Fast manifold landmarking using locality-sensitive hashing. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). SpringerLink. 2018, Vol. 10939 LNAI, pp. 452-464. DOI: 10.1007/978-3-319-93040-4_36
  20. Wu, C.; Nadjaran Toosi, A.; Buyya, R.; Ramamohanarao, K. Hedonic Pricing of Cloud Computing Services. IEEE Transactions on Cloud Computing. Institute of Electrical and Electronics Engineers (IEEE). 2018, pp. 1-1. DOI: 10.1109/TCC.2018.2858266

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