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. Sarwar, T.; Ramamohanarao, K.; Zalesky, A. Mapping connectomes with diffusion MRI: deterministic or probabilistic tractography?. Magnetic resonance in medicine. 2019, Vol. 81, Issue 2, pp. 1368-1384. DOI: 10.1002/mrm.27471
  2. 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
  3. Correa, O.; Tanin, E.; Kulik, L.; Ramamohanarao, K. Activity-based ride-sharing in action. GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems. ACM Press. 2018, pp. 608-611. DOI: 10.1145/3274895.3274991
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. Wen, Z.; He, B.; Ramamohanarao, K.; Lu, S.; Shi, J. Efficient Gradient Boosted Decision Tree Training on GPUs. Proceedings - 2018 IEEE 32nd International Parallel and Distributed Processing Symposium, IPDPS 2018. IEEE. 2018, pp. 234-243. DOI: 10.1109/IPDPS.2018.00033
  11. 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
  12. Panyam, NC.; Verspoor, K.; Cohn, T.; Ramamohanarao, K. Exploiting graph kernels for high performance biomedical relation extraction. Journal of Biomedical Semantics. BIOMED CENTRAL LTD. 2018, Vol. 9, Issue 1. DOI: 10.1186/s13326-017-0168-3
  13. 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
  14. Wu, C.; Nadjaran Toosi, A.; Buyya, R.; Ramamohanarao, K. Hedonic Pricing of Cloud Computing Services. IEEE Transactions on Cloud Computing. 2018. DOI: 10.1109/TCC.2018.2858266
  15. Stuckey, PJ.; Bailey, J.; Leckie, C.; Ramamohanarao, K.; Davidson, I. Image constrained blockmodelling: A constraint programming approach. SIAM International Conference on Data Mining, SDM 2018. Society for Industrial and Applied Mathematics. 2018, pp. 19-27.
  16. Dissanayake, CM.; Kotagiri, R.; Halgamuge, MN.; Moran, B. Improving accuracy of elephant localization using sound probes. Applied Acoustics. ELSEVIER SCI LTD. 2018, Vol. 129, pp. 92-103. DOI: 10.1016/j.apacoust.2017.07.007
  17. Mahmud, R.; Ramamohanarao, K.; Buyya, R. Latency-aware application module management for fog computing environments. ACM Transactions on Internet Technology. 2018, Vol. 19, Issue 1. DOI: 10.1145/3186592
  18. Cheng, W.; Erfani, S.; Zhang, R.; Ramamohanarao, K. Predicting complex activities from ongoing multivariate time series. IJCAI International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence. 2018, Vol. 2018-July, pp. 3322-3328.
  19. Hashem, T.; Kulik, L.; Ramamohanarao, K.; Zhang, R.; Soma, SC. Protecting privacy for distance and rank based group nearest neighbor queries. World Wide Web. 2018, pp. 1-42. DOI: 10.1007/s11280-018-0570-5
  20. Ghane, S.; Kulik, L.; Ramamohanarao, K. Publishing spatial histograms under differential privacy. ACM International Conference Proceeding Series. ACM Press. 2018. DOI: 10.1145/3221269.3223039

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