Dr Sarah Monazam Erfani

  • Room: Level: 07 Room: 16
  • Building: Doug McDonell Building
  • Campus: Parkville

Research interests

  • Big Data (Scalable Learning, Data Integration, Data Analysis)
  • Computer Security & Privacy (Cybersecurity, Data Privacy)
  • Data Mining
  • Machine Learning

Biography

Sarah Erfani is a lecturer in the School of Computing and Information Systems (CIS) at The University of Melbourne. Research interests:

  • Artificial Intelligence
  • Machine Learning
  • Cyber Security
  • Large-scale Data Mining
  • Data Privacy

Recent publications

  1. Ghafoori Z, Monazam Erfani S, Rajasegarar S, Bezdek J, Karunasekera S, Leckie C. Efficient Unsupervised Parameter Estimation for One-Class Support Vector Machines. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. Institute of Electrical and Electronics Engineers. 2018, Vol. 29, Issue 10. DOI: 10.1109/TNNLS.2017.2785792
  2. Rathore P, Bezdek J, Monazam Erfani S, Rajasegarar S, Palaniswami M. Ensemble Fuzzy Clustering Using Cumulative Aggregation on Random Projections. IEEE TRANSACTIONS ON FUZZY SYSTEMS. IEE Institute of Electronic Engineers. 2018, Vol. 26, Issue 3. DOI: 10.1109/TFUZZ.2017.2729501
  3. Amsaleg L, Bailey J, Barbe D, Monazam Erfani S, Houle ME, Nguyen V, Radovanovic M. The vulnerability of learning to adversarial perturbation increases with intrinsic dimensionality. 2017 IEEE Workshop on Information Forensics and Security, WIFS 2017. 2018, Vol. 2018-January. DOI: 10.1109/WIFS.2017.8267651
  4. Li L, Monazam Erfani S, Leckie C. A Pattern Tree based Method for Mining Conditional Contrast Patterns of Multi-Source Data. 17th IEEE International Conference on Data Mining (ICDMW). IEEE. 2017. Editors: Gottumukkala R, Ning X, Dong G, Raghavan V, Aluru S, Karypis G, Miele L, Wu X. DOI: 10.1109/ICDMW.2017.126
  5. 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
  6. Iredale T, Monazam Erfani S, Leckie C. An Efficient Visual Assessment of Cluster Tendency Tool for Large-scale Time Series Data Sets. 2017 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE). Institute of Electrical and Electronics Engineers. 2017. DOI: 10.1109/FUZZ-IEEE.2017.8015587
  7. Moshtaghi M, Monazam Erfani S, Leckie C, Bezdek J. Exponentially Weighted Ellipsoidal Model for Anomaly Detection. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS. John Wiley & Sons. 2017, Vol. 32, Issue 9. DOI: 10.1002/int.21875
  8. 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.
  9. Fahiman F, Bezdek J, Monazam Erfani S, Palaniswami M, Leckie C. Fuzzy c-Shape: A new algorithm for clustering finite time series waveforms. 2017 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE). Institute of Electrical and Electronics Engineers. 2017. DOI: 10.1109/FUZZ-IEEE.2017.8015525
  10. Fahiman F, Monazam Erfani S, Rajasegarar S, Palaniswami M, Leckie C. Improving Load Forecasting Based on Deep Learning and K-shape Clustering. 2017 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN). IEEE. 2017, Vol. 2017-May. DOI: 10.1109/IJCNN.2017.7966378
  11. Cheng W, Monazam Erfani S, Zhang R, Ramamohanarao K. Markov dynamic subsequence ensemble for energy-efficient activity recognition. ACM International Conference Proceeding Series. 2017. DOI: 10.1145/3144457.3144470
  12. Zhou S, Monazam Erfani S, Bailey J. SCED: A General Framework for Sparse Tensor Decomposition with Constraints and Elementwise Dynamic Learning. 17th IEEE International Conference on Data Mining (ICDMW). IEEE. 2017, Vol. 2017-November. Editors: Raghavan V, Aluru S, Karypis G, Miele L, Wu X. DOI: 10.1109/ICDM.2017.77
  13. Alipourchavary E, Monazam Erfani S, Leckie C. Summarizing Significant Changes in Network Traffic Using Contrast Pattern Mining. ACM Conference on Information and Knowledge Management (CIKM). Association for Computing Machinery Inc.. 2017, Vol. Part F131841. DOI: 10.1145/3132847.3133111
  14. Amsaleg L, Bailey J, Barbe D, Monazam Erfani S, Houle ME, Nguyen X, Radovanovic M. The Vulnerability of Learning to Adversarial Perturbation Increases with Intrinsic Dimensionality. 2017 IEEE WORKSHOP ON INFORMATION FORENSICS AND SECURITY (WIFS). IEEE. 2017, Issue 5.
  15. Lyu L, Law YW, Monazam Erfani S, Leckie C, Palaniswami M. An Improved Scheme for Privacy-Preserving Collaborative Anomaly Detection. 2016 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATION WORKSHOPS (PERCOM WORKSHOPS). IEEE. 2016. DOI: 10.1109/PERCOMW.2016.7457159

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