Projects per year
Personal profile
Biography
Dr. Michael Sheng is a Distinguished Professor and Head of School of Computing at Macquarie University. Before moving to Macquarie, Michael spent 10 years at School of Computer Science, the University of Adelaide, serving in senior leadership roles such as Interim Head of School and Deputy Head of School. 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 ranked by Microsoft Academic as one of the Most Impactful Authors in Services Computing (ranked Top 5 all time worldwide) and in Web of Things (ranked Top 20 all time). 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). Prof Michael Sheng is Vice Chair of the Executive Committee of the IEEE Technical Community on Services Computing (IEEE TCSVC), the Associate Director (Smart Technologies) of Macquarie's Smart Green Cities Research Centre, and a member of the ACS Technical Advisory Board on IoT.
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Collaborations and top research areas from the last five years
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Generalisable Models for Heterogenous Devices Traffic Inference
Gharakheili, H., Batista, G. E., Rui, S., Mishra, D., Sheng, M., Fernandes, N. & Bennett, A.
1/03/24 → 1/09/25
Project: Research
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NPPG (DFCRC Led): Central Bank Digital Currency - Infrastructure & Applications
Putnins, T., Chen, F., Buckley, R., Selvadurai, N., Furche, A., Kaafar, D., Staples, M., Sheng, M. & Cai, C.
24/10/23 → 8/06/28
Project: Research
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Transformation of Data to Data products for a Trusted Data-Driven Economy: Technology Innovation and Application
Yang, J., Beheshti, A., Wu, J., Zhang, W., Yarom, Y., Huang, Y., Gu, T., Sheng, M., McKenzie, J., Chen, P. & He, D.
24/05/23 → 30/07/27
Project: Research
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DP23: Towards Generalisable and Unbiased Dynamic Recommender Systems
Sheng, M. & Yao, L.
1/05/23 → 30/04/26
Project: Research
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Accurate POI recommendation for random groups with improved graph neural networks and a multi-negotiation model
Song, X., Liu, Z., Meng, L., Chu, D., Yu, J. & Sheng, Q. Z., 4 Mar 2025, In: Scientific Reports. 15, 1, p. 1-22 22 p., 7531.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
A novel indicator for quantifying and minimizing information utility loss of robot teams
Zhao, X., Cui, Q., Ni, W., Sheng, Q. Z., Jamalipour, A., Nan, G., Tao, X. & Zhang, P., 28 May 2025, (E-pub ahead of print) In: IEEE Journal on Selected Areas in Communications. 16 p.Research output: Contribution to journal › Article › peer-review
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A survey on privacy-preserving caching at network edge: classification, solutions, and challenges
Zhang, X., Zhou, Y., Wu, D., Sheng, Q. Z., Riaz, S., Hu, M. & Xiao, L., May 2025, In: ACM Computing Surveys. 57, 5, p. 1-38 38 p., 114.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
A survey on truth discovery: concepts, methods, applications, and opportunities
Wang, S., Zhang, H., Sheng, Q. Z., Li, X., Sun, Z., Cai, T., Zhang, W. E., Yang, J. & Gao, Q., 2025, In: IEEE Transactions on Big Data. 11, 2, p. 314-332 19 p.Research output: Contribution to journal › Article › peer-review
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Beyond pairwise relationships: a transformer-based hypergraph learning approach for fraud detection
Haghighi, V., Soltani, B., Shabani, N., Wu, J., Zhang, Y., Yao, L., Yang, J. & Sheng, Q. Z., 28 May 2025, (E-pub ahead of print) In: Knowledge and Information Systems. 36 p.Research output: Contribution to journal › Article › peer-review
Open Access
Prizes
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Best Student Paper Awards for “FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance”
Zhang, Ge (Recipient), Wu, Jia (Recipient), Yang, Jian (Recipient), Beheshti, Amin (Recipient), Xue, Emma (Recipient), Zhou, Chuan (Recipient) & Sheng, Michael (Recipient), 2021
Prize
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IEEE ICDM 2021, Best Paper Award
Zhang, Ge (Recipient), Wu, Jia (Recipient), Yang, Jian (Recipient), Beheshti, Amin (Recipient), Xue, Shan (Recipient), Zhou, Chuan (Recipient) & Sheng, Michael (Recipient), 2021
Prize
Activities
- 2 Presentation
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Next-Generation Recommender Systems and Their Advanced Applications
Shoujin Wang (Speaker), Liang Hu (Speaker), Yan Wang (Speaker), Michael Sheng (Speaker), Mehmet Orgun (Speaker) & Longbing Cao (Speaker)
8 Jan 2021Activity: Talk or presentation › Presentation
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Towards Ubiquitous Recommender Systems: Data, Approaches, and Applications
Shoujin Wang (Speaker), Liang Hu (Speaker), Yan Wang (Speaker), Michael Sheng (Speaker), Mehmet A. Orgun (Speaker) & Longbing Cao (Speaker)
3 Feb 2021Activity: Talk or presentation › Presentation