Michael Sheng

Professor

  • 5565 Citations
  • 31 h-Index
20012022
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Personal profile

Biography

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 the AMiner Most Influential Scholar Award on IoT (2019), ARC Future Fellowship (2014), Chris Wallace Award for Outstanding Research Contribution (2012), and Microsoft Research Fellowship (2003).

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Web services Engineering & Materials Science
Radio frequency identification (RFID) Engineering & Materials Science
Chemical analysis Engineering & Materials Science
Web Services Mathematics
Industry Engineering & Materials Science
Internet of Things Mathematics
Semantics Engineering & Materials Science
Cloud computing Engineering & Materials Science

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Projects 2016 2022

Research Outputs 2001 2020

Quantifying the adaptability of workflow-based service compositions

Botangen, K. A., Yu, J., Han, Y., Sheng, Q. Z. & Han, J., 1 Jan 2020, In : Future Generation Computer Systems. 102, p. 95-111 17 p.

Research output: Contribution to journalArticleResearchpeer-review

Chemical analysis
Web services
Concretes

A fitness-based evolving network for Web-APIs discovery

Adeleye, O., Yu, J., Yongchareon, S., Sheng, Q. Z. & Yang, L. H., 29 Jan 2019, Proceedings of the Australasian Computer Science Week Multiconference, ACSW 2019. Association for Computing Machinery, 10 p. a49

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Application programming interfaces (API)
Complex networks
Web services
Topology
Engineers

A hybrid trust management heuristic for VANETs

Mahmood, A., Butler, B., Zhang, W. E., Sheng, Q. Z. & Siddiqui, S. A., 1 Mar 2019, 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019. Institute of Electrical and Electronics Engineers (IEEE), p. 748-752 5 p. 8730675

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Pedestrian safety
Communication
MATLAB
Trust management
Heuristics

AMRNN: attended multi-task recurrent neural networks for dynamic illness severity prediction

Chen, W., Long, G., Yao, L. & Sheng, Q. Z., 21 Sep 2019, In : World Wide Web.

Research output: Contribution to journalArticleResearchpeer-review

Recurrent neural networks
Intensive care units
Time series
Learning systems
Decision making

Context-aware and adaptive QoS prediction for mobile edge computing services

Sheng, Q. Z., Xu, X., Chu, D. H. & Zhang, W. E., 30 Sep 2019, In : IEEE Transactions on Services Computing.

Research output: Contribution to journalArticleResearchpeer-review

Quality of service
Prediction
Context-aware
Cloud computing
Momentum