Michael Sheng

Professor

  • 5439 Citations
  • 30 h-Index
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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 ARC Future Fellowship (2014), Chris Wallace Award for Outstanding Research Contribution (2012), and Microsoft Research Fellowship (2003).

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

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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 2021

Research Outputs 2001 2020

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

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

Context-aware multi-QoS prediction for services in mobile edge computing

Liu, Z., Sheng, Q. Z., Zhang, W. E., Chu, D. & Xu, X., 1 Jul 2019, Proceedings - 2019 IEEE International Conference on Services Computing, SCC 2019: Part of the 2019 IEEE World Congress on Services. Bertino, E., Chang, C. K., Chen, P., Damiani, E., Goul, M. & Oyama, K. (eds.). Institute of Electrical and Electronics Engineers (IEEE), p. 72-79 8 p. 8814132

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

Quality of service
Support vector machines
Case based reasoning
Cloud computing
Prediction

Distantly supervised relation extraction through a trade-off mechanism

Ni, J., Liu, Y., Wang, K., Zhao, Z. & Sheng, Q. Z., 1 Jul 2019, 2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers (IEEE), p. 1-7 7 p. 8852069

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

Labels
Labeling
Neural networks