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 ARC Future Fellowship (2014), Chris Wallace Award for Outstanding Research Contribution (2012), and Microsoft Research Fellowship (2003).
Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
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Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2017 2021
- 5 Active
Building Intelligence into Online Video Services by Learning User Interests
29/06/18 → 28/06/21
Project: Other
A Large-Scale Distributed Experimental Facility for the Internet of Things
Sheng, Q., Bouguettaya, A., Loke, S., Li, X., Liang, W., Benattalah, B., Ali Babar, M., Yang, J., Zomaya, A. Y., Wang, Y., Zhou, W., Yao, L., Taylor, K. & Bergmann, N.
1/01/18 → 31/12/18
Project: Research
Reputation-based Trust Management in Crowdsourcing Environments
Wang, Y., Sheng, Q., Orgun, M., MQRES (International), M. (. & MQRES, M.
1/01/18 → 31/12/20
Project: Research
Research Output 2001 2018
A learning-based framework for improving querying on web interfaces of curated knowledge bases
Zhang, W. E., Sheng, Q. Z., Yao, L., Taylor, K., Shemshadi, A. & Qin, Y. 1 Feb 2018 In : ACM Transactions on Internet Technology. 18, 3, p. 1-20 20 p., 35Research output: Contribution to journal › Article
Learning algorithms
Learning systems
Experiments
Collaborative location recommendation by integrating multi-dimensional contextual information
Yao, L., Sheng, Q. Z., Wang, X., Zhang, W. E. & Qin, Y. 1 Feb 2018 In : ACM Transactions on Internet Technology. 18, 3, 24 p., 32Research output: Contribution to journal › Article
Factorization
Tensors
Collaborative filtering
Electric fuses
Availability
Collaborative text categorization via exploiting sparse coefficients
Yao, L., Sheng, Q. Z., Wang, X., Wang, S., Li, X. & Wang, S. Mar 2018 In : World Wide Web. 21, 2, p. 373–394 22 p.Research output: Contribution to journal › Article
Labels
Semantics
Decoding
Websites
Classifiers
Compressive representation for device-free activity recognition with passive RFID signal strength
Yao, L., Sheng, Q. Z., Li, X., Gu, T., Tan, M., Wang, X., Wang, S. & Ruan, W. 1 Feb 2018 In : IEEE Transactions on Mobile Computing. 17, 1, p. 293-306 14 p.Research output: Contribution to journal › Article
Glossaries
Radio frequency identification (RFID)
Video cameras
Learning algorithms
Computer vision
Device-free human localization and tracking with UHF passive RFID tags: a data-driven approach
Ruan, W., Sheng, Q. Z., Yao, L., Li, X., Falkner, N. J. G. & Yang, L. 15 Feb 2018 In : Journal of Network and Computer Applications. 104, p. 78-96 19 p.Research output: Contribution to journal › Article
Radio frequency identification (RFID)
Supervised learning
Sensors
Hidden Markov models
Ultra-wideband (UWB)