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Dr

Zahra Ghafoori

Honorary
Computing And Information Systems
computer science
technology
science & technology
computer science, artificial intelligence
computer science, information systems
computer science, theory & methods
anomaly detection
engineering, electrical & electronic
engineering
Zahra Ghafoori's Profile Picture
Dr

Zahra Ghafoori

 
Division
Engineering
 
Primary Interest
Active Learning
Zahra Ghafoori's Profile Picture
Dr

Zahra Ghafoori

 

Zahra Ghafoori is a postdoctoral research fellow in the University of Melbourne Academic Centre For Cyber Security Excellence. She studied her PhD at the School of Computing and Information Systems, University of Melbourne, where she developed robust and efficient techniques for unsupervised anomaly detection in complex and dynamic environments.

Prior to her PhD studies, she worked as a security expert in Informatics Services Corporation, a top-tier IT service provider for Core/Retail Banking Solutions. She has hands-on experience in cybersecurity risk assessment, incident management, and security auditing.

Zahra Ghafoori is interested in designing algorithms that with limited or no feedback on their performance can learn patterns from massive data collections and are robust against adversarial examples.

Projects

Displaying the most recent project by Zahra Ghafoori.

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Standards-Based Approach To Critical Infrastructure Risk Mitigation

2019 - 2019
Completed

1

Projects

Project Types

1

Research Contracts

Scholarly Works

Displaying the 14 most recent scholarly works by Zahra Ghafoori.

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LN-SNE: Log-Normal Distributed Stochastic Neighbor Embedding for Anomaly Detection

Zahra Ghafoori, Sarah M Erfani, James C Bezdek, Shanika Karunasekera, Christopher Leckie

Journal article  |  2020  |  IEEE Transactions on Knowledge and Data Engineering

We present a new unsupervised dimensionality reduction technique, called LN-SNE, for anomaly detection. LN-SNE generates a paramet..

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Unsupervised online change point detection in high-dimensional time series

M Zameni, A Sadri, Z Ghafoori, M Moshtaghi, FD Salim, C Leckie, K Ramamohanarao

Journal article  |  2020  |  Knowledge and Information Systems

A critical problem in time series analysis is change point detection, which identifies the times when the underlying distribution ..

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Unsupervised and Active Learning Using Maximin-Based Anomaly Detection

Z Ghafoori, JC Bezdek, C Leckie, S Karunasekera

Conference Proceedings  |  2020  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Online K-Means Clustering with Lightweight Coresets

JS Low, Z Ghafoori, C Leckie

Conference Proceedings  |  2019  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Coresets are representative samples of data that can be used to train machine learning models with provable guarantees of approxim..

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Seeding on samples for accelerating k-means clustering

JS Low, Z Ghafoori, JC Bezdek, C Leckie

Conference Proceedings  |  2019  |  Proceedings of the 3rd International Conference on Big Data and Internet of Things - BDIOT 2019

K-means clustering with random seeds results in arbitrarily poor clusters. Much work as been done to improve initial centroid sele..

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Approximating Dunn's Cluster Validity Indices for Partitions of Big Data

Punit Rathore, Zahra Ghafoori, James C Bezdek, Marimuthu Palaniswami, Christopher Leckie

Journal article  |  2019  |  IEEE Transactions on Cybernetics

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Urban sensing for anomalous event detection: Distinguishing between legitimate traffic changes and abnormal traffic variability

M Zameni, M He, M Moshtaghi, Z Ghafoori, C Leckie, JC Bezdek, K Ramamohanarao

Conference Proceedings  |  2019  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Change Point Detection for Streaming High-Dimensional Time Series

M Zameni, Z Ghafoori, A Sadri, C Leckie, K Ramamohanarao

Conference Proceedings  |  2019  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

© 2019, Springer Nature Switzerland AG. An important task in analysing high-dimensional time series data generated from sensors in..

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Dealing with Inliers in Feature Vector Data

Dheeraj Kumar, Zahra Ghafoori, James C Bezdek, Christopher Leckie, Kotagiri Ramamohanarao, Marimuthu Palaniswami

Journal article  |  2018  |  International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems

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Efficient Unsupervised Parameter Estimation for One-Class Support Vector Machines

Zahra Ghafoori, Sarah M Erfani, Sutharshan Rajasegarar, James C Bezdek, Shanika Karunasekera, Christopher Leckie

Journal article  |  2018  |  IEEE Transactions on Neural Networks and Learning Systems

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Estimating Generalized Dunn's Cluster Validity Indices for Big Data

Punit Rathore, Zahra Ghafoori, James C Bezdek, Marimuthu Palaniswami, Christopher Leckie

Conference Proceedings  |  2018  |  2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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Unsupervised Parameter Estimation for One-Class Support Vector Machines

Zahra Ghafoori, Sutharshan Rajasegarar, Sarah M Erfani, Shanika Karunasekera, Christopher A Leckie

Conference Proceedings  |  2016  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Anomaly Detection in Non-stationary Data: Ensemble based Self-Adaptive OCSVM

Zahra Ghafoori, Sarah M Erfani, Sutharshan Rajasegarar, Shanika Karunasekera, Christopher A Leckie

Conference Proceedings  |  2016  |  2016 International Joint Conference on Neural Networks (IJCNN)

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PPayWord: A Secure and Fast P2P Micropayment Scheme for Video Streaming

Zahra Ghafoori, Mehdi Dehghan, Majid Nourhoseini

Conference Proceedings  |  2014  |  Communications in Computer and Information Science

A practical payment scheme for peer to peer video streaming is an essential component toward commercialization of such systems. Th..

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Scholarly Works

Keyword Analysis

Artificial Intelligence and Image Processing
Computer Software and Services
Other Information and Communication Services
Distributed Computing
Communication Networks and Services

Honours, Awards and Fellowships

2017

Awarded the first student prize in Melbourne Business Analytics Datathon 2017, Melbourne, Australia

Melbourne Business School
2016

Awarded the first prize in Energy Hack 2016, Melbourne, Australia

Melbourne Energy Institute
2016

Google Travel Scholarship
2016

CIS School, University of Melbourne
2016

Melbourne Abroad Traveling Scholarship

5

Awards

Credentials

Positions

Honorary

Computing And Information Systems

Education

Doctor of Philosophy - Engineering

University of Melbourne

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