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Personal profile

Biography

Dr Zubair Shah has received a PhD degree in Computer Science at the School of Engineering and Information Technology, University of New South Wales, Australia. Currently, he is a postdoctoral research fellow at Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University. The focus of his PhD was on designing efficient and scalable algorithms for extracting complex patterns from multidimensional high-speed data streams such as network traffic streams, e-commerce web clickstreams and smart grid data streams. His research interests include Data Mining and Summarization, Big Data Analytics, and Machine Learning. He has published his work in various IEEE Transactions and A-tier international journals and conferences.

Education/Academic qualification

Computer Science, PhD, The University of New South Wales

1 Mar 201413 Dec 2017

External positions

PhD Scholar, The University of New South Wales

1 Mar 201413 Dec 2017

Fingerprint Dive into the research topics where Zubair Shah is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 2 Similar Profiles
Social Media Medicine & Life Sciences
Papillomavirus Vaccines Medicine & Life Sciences
Vaccines Medicine & Life Sciences
Checklist Medicine & Life Sciences
Association rules Engineering & Materials Science
Weather Medicine & Life Sciences
Data mining Engineering & Materials Science
Public Health Medicine & Life Sciences

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Research Outputs 2018 2019

  • 4 Citations
  • 2 h-Index
  • 4 Article

Automatically appraising the credibility of vaccine-related web pages shared on social media: a Twitter surveillance study

Shah, Z., Surian, D., Dyda, A., Coiera, E., Mandl, K. D. & Dunn, A. G., 4 Nov 2019, In : Journal of Medical Internet Research. 21, 11, p. 1-14 14 p., e14007.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File
Social Media
Vaccines
Checklist
Communication
Guidelines

HPV vaccine coverage in Australia and associations with HPV vaccine information exposure among Australian Twitter users

Dyda, A., Shah, Z., Surian, D., Martin, P., Coiera, E., Dey, A., Leask, J. & Dunn, A. G., Aug 2019, In : Human Vaccines and Immunotherapeutics. 15, 7-8, p. 1488-1495 8 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File
Papillomavirus Vaccines
Vaccines
Blogging
Education
Cluster Analysis

Modeling spatiotemporal factors associated with sentiment on twitter: synthesis and suggestions for improving the identification of localized deviations

Shah, Z., Martin, P., Coiera, E., Mandl, K. D. & Dunn, A. G., 8 May 2019, In : Journal of Medical Internet Research. 21, 5, p. 1-16 16 p., e12881.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File
Weather
Public Health
Social Media
Language
Population

Computing hierarchical summary from two-dimensional big data streams

Shah, Z., Mahmood, A. N., Barlow, M., Tari, Z., Yi, X. & Zomaya, A. Y., 1 Apr 2018, In : IEEE Transactions on Parallel and Distributed Systems. 29, 4, p. 803-818 16 p.

Research output: Contribution to journalArticleResearchpeer-review

Semantics
Recommender systems
Association rules
Error analysis
Data mining