Michael Sheng

Professor

  • 5204 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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Industry Engineering & Materials Science
Internet of Things Mathematics
Semantics Engineering & Materials Science
Search engines 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

Guest editorial: data-centric Big Services

Sheng, Q. Z., Xu, X., Chang, R. N. & Zhang, L. J., 1 May 2019, In : IEEE Transactions on Services Computing. 12, 3, p. 341-342 2 p., 8733963.

Research output: Contribution to journalEditorialResearchpeer-review

Guest editors' introduction for special issue on service management for the Internet of Things

Tata, S., Sheng, Q. Z. & Stroulia, E., Mar 2019, In : ACM Transactions on Internet Technology. 19, 1, p. 1-3 3 p., 6.

Research output: Contribution to journalEditorialResearchpeer-review

iCOP: IoT-enabled policing processes

Schiliro, F., Beheshti, A., Ghodratnama, S., Amouzgar, F., Benatallah, B., Yang, J., Sheng, Q. Z., Casati, F. & Motahari-Nezhad, H. R., 1 Jan 2019, Service-Oriented Computing – ICSOC 2018 Workshops: ADMS, ASOCA, ISYyCC, CloTS, DDBS, and NLS4IoT, Revised Selected Papers. Liu, X., Mrissa, M., Zhang, L., Benslimane, D., Ghose, A., Wang, Z., Bucchiarone, A., Zhang, W., Zou, Y. & Yu, Q. (eds.). Switzerland: Springer-VDI-Verlag GmbH & Co. KG, p. 447-452 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11434 LNCS).

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

Internet of Things
Data-driven
Law enforcement
Business Process
Industry