Michael Sheng


  • 4253 Citations
  • 27 h-Index
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Personal profile


Dr. Michael Sheng is a full Professor and Head of Department of Computing at Macquarie University. Before moving to Macquarie, Michael spent 10 years at School of Computer Science, the University of Adelaide. Michael holds a PhD degree in computer science from the University of New South Wales (UNSW) and did his post-doc as a research scientist at CSIRO ICT Centre. From 1999 to 2001, Sheng also worked at UNSW as a visiting research fellow. Prior to that, he spent 6 years as a senior software engineer in industries. 

Prof. Michael Sheng's research interests include Web of Things, Internet of Things, Big Data Analytics, Web Science, Service-oriented Computing, Pervasive Computing, and Sensor Networks. He is the recipient of ARC Future Fellowship (2014), Chris Wallace Award for Outstanding Research Contribution (2012), and Microsoft Research Fellowship (2003).

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Projects 2017 2021

A Large-Scale Distributed Experimental Facility for the Internet of Things

Sheng, Q., Bouguettaya, A., Loke, S., Li, X., Liang, W., Benattalah, B., Ali Babar, M., Yang, J., Zomaya, A. Y., Wang, Y., Zhou, W., Yao, L., Taylor, K. & Bergmann, N.


Project: Research

Reputation-based Trust Management in Crowdsourcing Environments

Wang, Y., Sheng, Q., Orgun, M., MQRES (International), M. (. & MQRES, M.


Project: Research

Research Output 2001 2018

A learning-based framework for improving querying on web interfaces of curated knowledge bases

Zhang, W. E., Sheng, Q. Z., Yao, L., Taylor, K., Shemshadi, A. & Qin, Y. 1 Feb 2018 In : ACM Transactions on Internet Technology. 18, 3, p. 1-20 20 p., 35

Research output: Contribution to journalArticle

Learning algorithms
Learning systems

Collaborative location recommendation by integrating multi-dimensional contextual information

Yao, L., Sheng, Q. Z., Wang, X., Zhang, W. E. & Qin, Y. 1 Feb 2018 In : ACM Transactions on Internet Technology. 18, 3, 24 p., 32

Research output: Contribution to journalArticle

Collaborative filtering
Electric fuses

Collaborative text categorization via exploiting sparse coefficients

Yao, L., Sheng, Q. Z., Wang, X., Wang, S., Li, X. & Wang, S. Mar 2018 In : World Wide Web. 21, 2, p. 373–394 22 p.

Research output: Contribution to journalArticle


Compressive representation for device-free activity recognition with passive RFID signal strength

Yao, L., Sheng, Q. Z., Li, X., Gu, T., Tan, M., Wang, X., Wang, S. & Ruan, W. 1 Feb 2018 In : IEEE Transactions on Mobile Computing. 17, 1, p. 293-306 14 p.

Research output: Contribution to journalArticle

Radio frequency identification (RFID)
Video cameras
Learning algorithms
Computer vision

Device-free human localization and tracking with UHF passive RFID tags: a data-driven approach

Ruan, W., Sheng, Q. Z., Yao, L., Li, X., Falkner, N. J. G. & Yang, L. 15 Feb 2018 In : Journal of Network and Computer Applications. 104, p. 78-96 19 p.

Research output: Contribution to journalArticle

Radio frequency identification (RFID)
Supervised learning
Hidden Markov models
Ultra-wideband (UWB)