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. 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
  2. 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
  3. Xie H, Karunasekera S, Kulik L, Tanin E, Zhang R, Kotagiri R. A Simulation Study of Emergency Vehicle Prioritization in Intelligent Transportation Systems. IEEE Vehicular Technology Conference. 2017, Vol. 2017-June. DOI: 10.1109/VTCSpring.2017.8108282
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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.
  10. 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.
  11. 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
  12. 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
  13. 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
  14. Rahman Khan AKMM, Correa O, Tanin E, Kulik L, Kotagiri R. Ride-sharing is About Agreeing on a Destination. GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems. 2017, Vol. 2017-November. DOI: 10.1145/3139958.3139972
  15. 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

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