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Personal profile


Zahraa is a postdoctoral research fellow at the school of Information Technology at Monash University in applied machine learning. She received her PhD in March 2015 from Monash University, Australia. She is the recipient of Mollie Holman award for the best thesis in Information technology in 2015. Her thesis is also nominated for the CORE John Makepeace Bennett Awards for distinguished doctoral dissertations. Zahraa’s research is broadly in the areas of Data Science, Stream Mining, InformationRetrieval,  and Mobile and Pervasive Computing Systems where her focus is on developing intelligent applications that aim to service real-time information needs while having to function in highly dynamic and resource-constrained environments. Her technique for activity recognition has been ranked first in the Challenge Task in the 2011 EU OPPORTUNITY Activity Recognition Challenge.


  • Machine Learning
  • Applied Data Science
  • Prediction Analysis
  • Stream Minig
  • Activity Recognition

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Projects 2017 2020

Research Output 2009 2017

  • 5 Conference Paper
  • 4 Article
  • 2 Other
  • 1 Encyclopaedia / Dictionary Entry

Multi-domain evaluation framework for named entity recognition tools

Abdallah, Z. S., Carman, M. J. & Haffari, G., May 2017, In : Computer Speech and Language. 43, p. 34-55 22 p.

Research output: Contribution to journalArticleResearchpeer-review

AnyNovel: detection of novel concepts in evolving data streams: An application for activity recognition

Abdallah, Z. S., Gaber, M. M., Srinivasan, B. & Krishnaswamy, S., 1 Jun 2016, In : Evolving Systems. 7, 2, p. 73-93 21 p.

Research output: Contribution to journalArticleResearchpeer-review

Data Preparation

Abdallah, Z. S., Du, L. & Webb, G. I., 2016, Encyclopedia of Machine Learning and Data Mining. Sammut, C. & Webb, G. I. (eds.). Boston, MA: Humana Press, p. 318-327 10 p.

Research output: Chapter in Book/Report/Conference proceedingEncyclopaedia / Dictionary EntryOther

Open Access

Adaptive mobile activity recognition system with evolving data streams

Abdallah, Z. S., Gaber, M. M., Srinivasan, B. & Krishnaswamy, S., 2015, In : Neurocomputing. 150, Part A, p. 304 - 317 14 p.

Research output: Contribution to journalArticleResearchpeer-review

Scalable energy-efficient distributed data analytics for crowdsensing applications in mobile environments

Jayaraman, P. P., Gomes, J. B., Nguyen, H-L., Abdallah, Z. S., Krishnaswamy, S. & Zaslavsky, A., Sep 2015, In : IEEE Transactions on Computational Social Systems . 2, 3, p. 109-123 15 p., 7419278.

Research output: Contribution to journalArticleResearchpeer-review


Mollie Holman Award

Zahraa Said Emam Ammar Abdallah (Recipient), 2016

Prize: Prize (including medals and awards)