Professor Rao Kotagiri

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


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. 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.
  2. Wen Z, Zhang R, Kotagiri R, Yang L. Scalable and fast SVM regression using modern hardware. World Wide Web. Springer. 2017.
  3. 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.
  4. 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.
  5. Nguyen X, Monazam Erfani S, Paisitkriangkrai S, Bailey J, Leckie C, Kotagiri R. Training robust models using Random Projection. International Conference on Pattern Recognition. 2017.
  6. Roy P, Bhuiyari A, Lee KY, Wong TY, Kotagiri R. A novel computer aided quantification method of focal arteriolar narrowing using colour retinal image. COMPUTERS IN BIOLOGY AND MEDICINE. Pergamon-Elsevier Science. 2016, Vol. 74.
  7. Li H, Kulik L, Kotagiri R. Automatic Generation and Validation of Road Maps from GPS Trajectory Data Sets. 25th ACM International Conference on Information and Knowledge Management (CIKM). Association for Computing Machinery Inc.. 2016, Vol. 24-28-October-2016.
  8. 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. 2016.
  9. Hussain M, Bhuiyan A, Kotagiri R. Automatic Retinal Minimum Distance Band (MDB)Computation from SD-OCT Images. 2015 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2015. 2016.
  10. Wu C, Buyya R, Kotagiri R. Big Data Analytics = Machine Learning + Cloud Computing. Big Data: Principles and Paradigms. 2016.
  11. Nguyen X, Chan J, Romano S, Bailey J, Leckie C, Kotagiri R, Pei J. Discovering outlying aspects in large datasets. DATA MINING AND KNOWLEDGE DISCOVERY. Kluwer Academic Publishers. 2016, Vol. 30, Issue 6.
  12. Liu Q, Li J, Wong L, Kotagiri R. Efficient mining of pan-correlation patterns from time course data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2016, Vol. 10086 LNAI.
  13. Cao L, Kotagiri R, Sun F, Li H, Huang W, Aye Z. Efficient spatio-temporal tactile object recognition with randomized tiling convolutional networks in a hierarchical fusion strategy. 30th AAAI Conference on Artificial Intelligence, AAAI 2016. 2016.
  14. Poola D, Kotagiri R, Buyya R. Enhancing Reliability of Workflow Execution Using Task Replication and Spot Instances. ACM TRANSACTIONS ON AUTONOMOUS AND ADAPTIVE SYSTEMS. Association for Computing Machinery Inc.. 2016, Vol. 10, Issue 4.
  15. Panyam NC, Verspoor C, Cohn T, Kotagiri R. Exploiting tree kernels for high performance chemical induced disease relation extraction. 7th International Symposium on Semantic Mining in Biomedicine (SMBM). 2016, Vol. 1650.

Rao Kotagiri

Level: 07 Room: 710
Doug Mcdonell Building, Parkville
University of Melbourne
3010 Australia

T: +61 3 83441326
F: +61 3 93481184

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