Projects per year
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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Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2016 2022
Towards a Reliable and Explainable Health Monitoring and Caring System
Ruan, W. & Sheng, Q.
1/01/20 → 31/12/22
Project: Other
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
11/06/19 → 11/06/21
Project: Research
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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 journal › Article › Research › peer-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. a49Research 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. 8730675Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › Research › peer-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 journal › Article › Research › peer-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 journal › Article › Research › peer-review
Quality of service
Prediction
Context-aware
Cloud computing
Momentum