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

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. 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
  2. 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
  3. 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
  4. Dissanayake CM, Kotagiri R, Halgamuge MN, Moran B. Improving accuracy of elephant localization using sound probes. APPLIED ACOUSTICS. Elsevier Science. 2018, Vol. 129. DOI: 10.1016/j.apacoust.2017.07.007
  5. Mahmud R, Srirama SN, 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
  6. Wen Z, Zhang R, Kotagiri R, Yang L. Scalable and fast SVM regression using modern hardware. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS. Springer. 2018, Vol. 21, Issue 2. DOI: 10.1007/s11280-017-0445-1
  7. Kottaram A, Johnston L, Ganella E, Pantelis C, Kotagiri R, Zalesky A. Spatio-temporal dynamics of resting-state brain networks improve single-subject prediction of schizophrenia diagnosis. Human Brain Mapping. Wiley-Liss. 2018. DOI: 10.1002/hbm.24202
  8. Neelofar N, Naish L, Kotagiri R. Spectral-based fault localization using hyperbolic function. SOFTWARE-PRACTICE & EXPERIENCE. John Wiley & Sons. 2018, Vol. 48, Issue 3. DOI: 10.1002/spe.2527
  9. Xie H, Karunasekera S, Kulik L, Tanin E, Zhang R, Kotagiri R. A Simulation Study of Emergency Vehicle Prioritization in Intelligent Transportation Systems. 2017 IEEE 85TH VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING). IEEE. 2017, Vol. 2017-June. DOI: 10.1109/VTCSpring.2017.8108282
  10. 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
  11. 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
  12. Bhuiyan A, Hussain A, Mian A, Wong T, Kotagiri R, Kanagasingam Y. Biometric authentication system using retinal vessel pattern and geometric hashing. IET BIOMETRICS. Institution of Engineering and Technology. 2017, Vol. 6, Issue 2. DOI: 10.1049/iet-bmt.2015.0024
  13. Bin Khunayn E, Karunasekera S, Xie H, Kotagiri R. Exploiting Data Dependency to Mitigate Stragglers in Distributed Spatial Simulation. GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems. 2017, Vol. 2017-November. DOI: 10.1145/3139958.3140018
  14. 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
  15. Kotagiri R, Qi J, Tanin E, Motallebi S. From How to Where: Traffic Optimization in the Era of Automated Vehicles (Vision Paper). GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems. 2017, Vol. 2017-November. DOI: 10.1145/3139958.3139997

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