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

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. Nguyen U, Karunasekera S, Kulik L, Tanin E, Zhang R, Zhang H, Xie H, Kotagiri R. A Randomized Path Routing Algorithm for Decentralized Route Allocation in Transportation Networks. 8th ACM SIGSPATIAL International Workshop on Computational Transportation Science (IWCTS). 2015.
  2. Naish L, Neelofar E, Kotagiri R. Multiple Bug Spectral Fault Localization Using Genetic Programming. 24th Australasian Software Engineering Conference (ASWEC). IEEE. 2015.
  3. Kang S, Kotagiri R. A Robust Classifier for Imbalanced Datasets. 18th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining (PAKDD). Springer International Publishing. 2014, Vol. 8443.
  4. Chandrashekar D, Kotagiri R, Buyya R. Fault-tolerant Workflow Scheduling using Spot Instances on Clouds. 14th Annual International Conference on Computational Science (ICCS). Elsevier. 2014, Vol. 29.
  5. Bhuiyan A, Karmakar C, Kawasaki R, Lamoureux E, Kotagiri R, Kanagasingam Y, Wong T. Retinal artery and venular caliber grading: A semi-automated evaluation tool. Computers in Biology and Medicine. Pergamon-Elsevier Science. 2014, Vol. 44, Issue 1.
  6. Chandrashekar D, Garg SK, Buyya R, Yang Y, Kotagiri R. Robust Scheduling of Scientific Workflows with Deadline and Budget Constraints in Clouds. IEEE 28th International Conference on Advanced Information Networking and Applications (AINA). IEEE Explore. 2014.
  7. Chan J, Nguyen X, Liu W, Bailey J, Leckie C, Kotagiri R, Pei J. Structure-Aware Distance Measures for Comparing Clusterings in Graphs. 18th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining (PAKDD). Springer International Publishing. 2014, Vol. 8443.
  8. Liu W, Chan J, Bailey J, Leckie C, Chen F, Kotagiri R. A Bayesian Classifier for Learning from Tensorial Data. European Conference (ECML PKDD). Springer Verlag. 2013, Vol. 8189.
  9. Hassan MDF, Kotagiri R, Kamruzzaman J, Rahman SU, Hossain MM. A HMM-based adaptive fuzzy inference system for stock market forecasting. Neurocomputing. Elsevier BV. 2013, Vol. 104.
  10. Awal T, Kulik L, Kotagiri R. A k-leader fuel-efficient traffic model. IEEE Intelligent Vehicles Symposium (IV). IEEE Explore. 2013.
  11. Kotagiri R, Hassan M. A new approach to enhance the performance of decision tree for classifying gene expression data. Great Lakes Bioinformatics Conference 2013. 2013. Editors: Jin V.
  12. Havens TC, Bezdek J, Leckie C, Kotagiri R, Palaniswami M. A Soft Modularity Function For Detecting Fuzzy Communities in Social Networks. IEEE Transactions on Fuzzy Systems. IEE Institute of Electronic Engineers. 2013, Vol. 21, Issue 6.
  13. Nguyen U, Bhuiyan A, Park LAF, Kawasaki R, Wong TY, Wang JJ, Mitchell P, Kotagiri R. An Automated Method for Retinal Arteriovenous Nicking Quantification From Color Fundus Images. IEEE Transactions on Biomedical Engineering. IEEE - Institute of Electrical and Electronic Engineers. 2013, Vol. 60, Issue 11.
  14. Nguyen U, Bhuiyan A, Park LAF, Kotagiri R. An effective retinal blood vessel segmentation method using multi-scale line detection. Pattern Recognition. Pergamon-Elsevier Science. 2013, Vol. 46, Issue 3.
  15. Nguyen U, Bhuiyan A, Park LAF, Kawasaki R, Wong T, Wang JJ, Mitchell P, Kotagiri R. Automated quantification of retinal arteriovenous nicking from colour fundus images. 35th Annual International Conference of the IEEE EMBS. IEEE Explore. 2013.

Rao Kotagiri

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

T: +61 3 83441326
F: +61 3 93481184
E: kotagiri@unimelb.edu.au


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