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. Roy P, Bhuiyan A, Lee K, Lee KY, Wong TY, Kotagiri R, Ramamohanarao K. 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.
  2. 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.
  3. Wu C, Buyya R, Kotagiri R. Big Data Analytics = Machine Learning + Cloud Computing. Big Data: Principles and Paradigms. 2016.
  4. 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.
  5. 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.
  6. 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.
  7. Rashidi L, Kan A, Bailey J, Chan J, Leckie C, Liu W, Rajasegarar S, Kotagiri R. Node re-ordering as a means of anomaly detection in time-evolving graphs. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2016, Vol. 9852 LNAI.
  8. Monazam Erfani S, Baktashmotlagh M, Rajasegarar S, Nguyen V, Leckie C, Bailey J, Kotagiri R. R1STM: One-class support tensor machine with randomised kernel. 16th SIAM International Conference on Data Mining 2016, SDM 2016. 2016.
  9. Monazam Erfani S, Baktashmotlagh M, Moshtaghi M, Nguyen X, Leckie C, Bailey J, Kotagiri R. Robust Domain Generalisation by Enforcing Distribution Invariance. 25th International Joint Conference on Artificial Intelligence (IJCAI). 2016. Editors: Kambhampati S.
  10. Panyam NC, Khirbat G, Verspoor C, Cohn T, Kotagiri R. SeeDev Binary Event Extraction using SVMs and a Rich Feature Set. 4th BioNLP Shared Task Workshop. The Association for Computational Linguistics. 2016.
  11. 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.
  12. Roy PK, Hussain A, Bhuiyan A, Kawasaki R, Kotagiri R. A ROBUST AND RELIABLE QUANTIFICATION METHOD FOR FOCAL ARTERIOLAR NARROWING IN COLOR RETINAL IMAGE. 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI). IEEE. 2015, Vol. 2015-July.
  13. He J, Zhao G, Zhang HL, Kotagiri R, Pang C. An effective clustering algorithm for auto-detecting well-separated clusters. IEEE International Conference on Data Mining Workshops, ICDMW. 2015, Vol. 2015-January, Issue January.
  14. Roy P, Bhuiyan A, Janke A, Desmond P, Wong TY, Abhayaratna WP, Storey E, Kotagiri R. Automatic white matter lesion segmentation using contrast enhanced FLAIR intensity and Markov Random Field. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS. Pergamon. 2015, Vol. 45.
  15. Buyya R, Kotagiri R, Leckie C, Calheiros R, Vahid Dastjerdi A, Versteeg S C. Big Data Analytics-Enhanced Cloud Computing: Challenges, Architectural Elements, and Future Directions. 2015 IEEE 21ST INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS). IEEE. 2015, Vol. 2016-January.

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