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Michael Sheng

Professor

 https://orcid.org/0000-0002-3326-4147
  • 5439 Citations
  • 30 h-Index
20012021
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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).

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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

AI-enabled Industry: challenges and opportunity study

Beheshti, A., Asadniaye Fard Jahromi, M., Sheng, Q. & Yang, J.

1/11/19 → 30/04/20

Project: Research

sparc: Digital Health Records Storage and Analysis for Healthcare Provisioning of Global Patients

Shankaran, N. & Sheng, Q.

11/06/19 → 11/06/21

Project: Research

File

Diverse and Dynamic Trust Evaluation in Online Social Networks

Liu, G. & Sheng, Q.

1/01/19 → 31/12/20

Project: Other

Modelling and defence against malicious information propagation

Wu, J., Sheng, Q. & Zhang, C.

1/01/19 → 31/12/20

Project: Other

Trust Evaluation and Spam Detection on Online Social Networks

Yang, J., Sheng, Q., Wu, J., Collins, A., Nepal, S. & Paris, C.

3/12/18 → 31/08/21

Project: Other

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 proceeding › Conference proceeding contribution › Research › peer-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 proceeding › Conference proceeding contribution › Research › peer-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 journal › Article › Research › peer-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 proceeding › Conference proceeding contribution › Research › peer-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 proceeding › Conference proceeding contribution › Research › peer-review

Labels
Labeling
Neural networks