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. 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 Verlag. 2018, Vol. 10939 LNAI. DOI: 10.1007/978-3-319-93040-4_47
  2. Hussain M, 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. 2018, Vol. 63. DOI: 10.1016/j.compmedimag.2018.01.001
  3. Hussain M, Bhuiyan A, Luu C, Smith RT, Guymer R, Ishikawa H, Schuman JS, Kotagiri R. Classification of healthy and diseased retina using SD-OCT imaging and Random Forest algorithm. PLOS ONE. Public Library of Science. 2018, Vol. 13, Issue 6. DOI: 10.1371/journal.pone.0198281
  4. Qi J, Zhang R, Jensen CS, Kotagiri R, He J. Continuous Spatial Query Processing: A Survey of Safe Region Based Techniques. ACM COMPUTING SURVEYS. Association for Computing Machinery. 2018, Vol. 51, Issue 3. DOI: 10.1145/3193835
  5. Rodriguez Sossa M, Kotagiri R, Buyya R. Detecting performance anomalies in scientific workflows using hierarchical temporal memory. Future Generation Computer Systems. Elsevier Science. 2018, Vol. 88. DOI: 10.1016/j.future.2018.05.014
  6. Liu Q, Ghosh S, Li J, Wong L, Kotagiri R. Discovering pan-correlation patterns from time course data sets by efficient mining algorithms. 12th International Conference on Advanced Data Mining and Applications (ADMA). Springer Wien. 2018, Vol. 100, Issue 4. DOI: 10.1007/s00607-018-0606-9
  7. Wen Z, He B, Kotagiri R, Lu S, Shi J. Efficient gradient boosted decision tree training on GPUs. Proceedings - 2018 IEEE 32nd International Parallel and Distributed Processing Symposium, IPDPS 2018. 2018. DOI: 10.1109/IPDPS.2018.00033
  8. 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. 2018. DOI: 10.1007/s12559-018-9568-7
  9. Panyam NC, Verspoor C, Cohn T, Kotagiri R. Exploiting graph kernels for high performance biomedical relation extraction. JOURNAL OF BIOMEDICAL SEMANTICS. Biomed Central. 2018, Vol. 9. DOI: 10.1186/s13326-017-0168-3
  10. Aye Z, Rubinstein B, Kotagiri R. Fast manifold landmarking using locality-sensitive hashing. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2018, Vol. 10939 LNAI. DOI: 10.1007/978-3-319-93040-4_36
  11. Wu C, Nadjaran Toosi A, Buyya R, Kotagiri R. Hedonic Pricing of Cloud Computing Services. IEEE Transactions on Cloud Computing. Institute of Electrical and Electronics Engineers. 2018. DOI: 10.1109/TCC.2018.2858266
  12. Ganji M, Chan J, Stuckey P, Bailey J, Leckie C, Kotagiri R, Davidson I. Image constrained blockmodelling: A constraint programming approach. SIAM International Conference on Data Mining, SDM 2018. 2018.
  13. Dissanayake C, Kotagiri R, Halgamuge M, Moran W. Improving accuracy of elephant localization using sound probes. APPLIED ACOUSTICS. Elsevier Science. 2018, Vol. 129. DOI: 10.1016/j.apacoust.2017.07.007
  14. Hashem T, Kulik L, Kotagiri R, Zhang R, Soma SC. Protecting privacy for distance and rank based group nearest neighbor queries. World Wide Web. Springer. 2018. DOI: 10.1007/s11280-018-0570-5
  15. Mahmud R, Srirama S, Kotagiri R, Buyya R. Quality of Experience (QoE)-aware placement of applications in Fog computing environments. Journal of Parallel and Distributed Computing. Academic Press. 2018. DOI: 10.1016/j.jpdc.2018.03.004

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