Professor Rao Kotagiri

  • Room: Level: 07 Room: 710
  • Building: Doug McDonell Building
  • Campus: Parkville

Research interests

  • Large Databases, Machine Leraning, Data Mining, Information Retrieval, Network Security, Big Data Analytics, Cloud Computing (Databases, Machine Leraning, Information Retrieval, Data mining)

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. Cheng W, Monazam Erfani S, Zhang R, Kotagiri R. Accurate recognition of the current activity in the presence of multiple activities. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2017, Vol. 10235 LNAI. DOI: 10.1007/978-3-319-57529-2_4
  2. Hussain M, Bhuiyan A, Turpin A, Luu C, Smith RT, Guymer R, Kotagiri R. Automatic Identification of Pathology-Distorted Retinal Layer Boundaries Using SD-OCT Imaging. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. IEEE - Institute of Electrical and Electronic Engineers. 2017, Vol. 64, Issue 7. DOI: 10.1109/TBME.2016.2619120
  3. Cao L, Sun F, Liu X, Huang W, Cheng W, Kotagiri R. Fix-budget and recurrent data mining for online haptic perception. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2017, Vol. 10638 LNCS. DOI: 10.1007/978-3-319-70139-4_59
  4. Monazam Erfani S, Baktashmotlagh M, Moshtaghi M, Nguyen V, Leckie C, Bailey J, Kotagiri R. From shared subspaces to shared landmarks: A robust multi-source classification approach. 31st AAAI Conference on Artificial Intelligence (AAAI). 2017.
  5. Wen Z, Li B, Kotagiri R, Chen J, Chen Y, Zhang R. Improving efficiency of SVM k-fold cross-validation by alpha seeding. 31st AAAI Conference on Artificial Intelligence, AAAI 2017. 2017.
  6. Neelofar N, Naish L, Lee J, Kotagiri R. Improving spectral-based fault localization using static analysis. SOFTWARE-PRACTICE & EXPERIENCE. John Wiley & Sons. 2017, Vol. 47, Issue 11. DOI: 10.1002/spe.2490
  7. Zhang X, Li Y, Kotagiri R, Wu L, Tari Z, Cheriet M. KRNN: k Rare-class Nearest Neighbour classification. PATTERN RECOGNITION. Pergamon-Elsevier Science. 2017, Vol. 62. DOI: 10.1016/j.patcog.2016.08.023
  8. Zhang X, Dou W, He Q, Zhou R, Leckie C, Kotagiri R, Salcic Z. LSHiForest: A Generic Framework for Fast Tree Isolation based Ensemble Anomaly Analysis. 2017 IEEE 33RD INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2017). IEEE Computer Society. 2017. DOI: 10.1109/ICDE.2017.145
  9. Wen Z, Zhang R, Kotagiri R, Yang L. Scalable and fast SVM regression using modern hardware. World Wide Web. Springer. 2017. DOI: 10.1007/s11280-017-0445-1
  10. Samarawickrama S, Karunasekera S, Harwood A, Kotagiri R. Search result personalization in twitter using neural word embeddings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2017, Vol. 10440 LNCS. DOI: 10.1007/978-3-319-64283-3_18
  11. Ghosh S, Li J, Cao L, Kotagiri R. Septic shock prediction for ICU patients via coupled HMM walking on sequential contrast patterns. JOURNAL OF BIOMEDICAL INFORMATICS. Academic Press. 2017, Vol. 66. DOI: 10.1016/j.jbi.2016.12.010
  12. Kotagiri R, Xie H, Kulik L, Karunasekera S, Tanin E, Zhang R, Bin Khunayn E. SMARTS: Scalable Microscopic Adaptive Road Traffic Simulator. ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY. ACM Press. 2017, Vol. 8, Issue 2. DOI: 10.1145/2898363
  13. Neelofar N, Naish L, Kotagiri R. Spectral-based fault localization using hyperbolic function. Software - Practice and Experience. John Wiley & Sons. 2017. DOI: 10.1002/spe.2527
  14. Bin Khunayn E, Karunasekera S, Xie H, Kotagiri R. Straggler Mitigation for Distributed Behavioral Simulation. 2017 IEEE 37TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS 2017). IEEE Computer Society. 2017. Editors: Lee K, Liu L. DOI: 10.1109/ICDCS.2017.165
  15. Vedernikov O, Kulik L, Kotagiri R. The hitchhiker's guide to the optimal route planning. Proceedings - 18th IEEE International Conference on Mobile Data Management, MDM 2017. 2017. DOI: 10.1109/MDM.2017.39

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