Dr Tara Babaie

Postdoctoral Research Associate

F09 - Madsen Building
The University of Sydney

Telephone +61 2 91140546

Website Related website

Biographical details

I am expert in working with complex data, interested in predictive modeling and analytics. I am currently part of the new project of "BRAIN IMAGING AND HEMODYNAMICS" which is concerned with using modeling outcomes to probe brain structure and dynamics to obtain new insights into brain function.

Research interests

Predictive Modelling
Adaptive Control Theory and its Application in Big Data Analytics
Outlier Detection

Teaching and supervision

I co-lectured in "An Introduction to Data Analytics Course" in 2014 at the University of Sydney, school of IT. This subject offers the foundations of data analytics, data mining and knowledge discovery methods and their application to practical problems. It brings together the state-of-the-art research and practical techniques in data analytics, providing students with the necessary knowledge and capacity to initiate and conduct data mining research and development projects, and professionally communicate with analytics experts.

Selected publications

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Conferences

  • Babaie, T., Chawla, S., Ardon, S., Yu, Y. (2014). A unified approach to network anomaly detection. 2014 IEEE International Conference on Big Data (IEEE Big Data 2014), Piscataway, USA: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
  • Babaie, T., Chawla, S., Abeysuriya, R. (2014). Sleep analytics and online selective anomaly detection. 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2014), New York: Association for Computing Machinery (ACM). [More Information]
  • Nguyen, L., Babaie, T., Chawla, S., Zaidi, Z. (2010). Network Anomaly Detection Using a Commute Distance Based Approach. 10th IEEE International Conference on Data Mining Workshops ICDMW 2010, USA: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]

2014

  • Babaie, T., Chawla, S., Ardon, S., Yu, Y. (2014). A unified approach to network anomaly detection. 2014 IEEE International Conference on Big Data (IEEE Big Data 2014), Piscataway, USA: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
  • Babaie, T., Chawla, S., Abeysuriya, R. (2014). Sleep analytics and online selective anomaly detection. 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2014), New York: Association for Computing Machinery (ACM). [More Information]

2010

  • Nguyen, L., Babaie, T., Chawla, S., Zaidi, Z. (2010). Network Anomaly Detection Using a Commute Distance Based Approach. 10th IEEE International Conference on Data Mining Workshops ICDMW 2010, USA: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]

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