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
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Head Agreement (Griffith led): Solving Plastic Waste CRC
Chen, C. (Chief Investigator), Gu, T. (Primary Chief Investigator), Singh, A. (Chief Investigator), Sheng, M. (Chief Investigator), Yang, J. (Chief Investigator), Beheshti, A. (Chief Investigator), Wang, Y. (Chief Investigator), Asadnia, M. (Chief Investigator), Bishop, M. (Chief Investigator), Cain, A. (Chief Investigator), Feih, S. (Chief Investigator), Naebe, M. (Chief Investigator), Giurco, D. (Chief Investigator) & Ball, A. (Chief Investigator)
15/09/24 → 15/09/34
Project: Research
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Revolutionizing Dynamic Pricing and Management Optimization through Synergizing Generative AI, Predictive Analytics, and Game Theory
Beheshti, A. (Primary Chief Investigator) & Sheng, M. (Chief Investigator)
1/07/24 → 30/06/28
Project: Research
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NPPG (DFCRC Led): Central Bank Digital Currency - Infrastructure & Applications
Putnins, T. (Chief Investigator), Chen, F. (Chief Investigator), Buckley, R. (Chief Investigator), Selvadurai, N. (Primary Chief Investigator), Furche, A. (Chief Investigator), Kaafar, D. (Other), Staples, M. (Other), Sheng, M. (Other) & Cai, C. (Other)
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. (Primary Chief Investigator), Beheshti, A. (Chief Investigator), Wu, J. (Chief Investigator), Zhang, W. (Chief Investigator), Yarom, Y. (Chief Investigator), Huang, Y. (Chief Investigator), Gu, T. (Other), Sheng, M. (Other), McKenzie, J. (Other), Chen, P. (Other) & He, D. (Other)
24/05/23 → 30/07/27
Project: Research
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DP23: Towards Generalisable and Unbiased Dynamic Recommender Systems
Sheng, M. (Primary Chief Investigator) & Yao, L. (Partner Investigator)
1/05/23 → 30/04/26
Project: Research
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When NLP meets LLM: Neural approaches to context-based conversational question answering
Zaib, M., Sheng, Q. Z., Zhang, W. E. & Mahmood, A., 2026, Boca Raton, FL: CRC Press. 168 p.Research output: Book/Report › Book › peer-review
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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 AccessFile26 Downloads (Pure) -
Advanced Data Mining and Applications: 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, proceedings, part II
Z. Sheng, Q. (Editor), Dobbie, G. (Editor), Jiang, J. (Editor), Zhang, X. (Editor), Zhang, W. E. (Editor), Manolopoulos, Y. (Editor), Wu, J. (Editor), Mansoor, W. (Editor) & Ma, C. (Editor), 2025, Singapore: Springer, Springer Nature. 432 p. (Lecture Notes in Computer Science; vol. 15388)Research output: Book/Report › Edited Book/Anthology › peer-review
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Adversarial attacks against automated fact-checking: A survey
Liu, F., Abuadbba, A., Moore, K., Nepal, S., Paris, C., Wu, J., Yang, J. & Sheng, Q. Z., Nov 2025, EMNLP 2025: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. Christodoulopoulos, C., Chakraborty, T., Rose, C. & Peng, V. (eds.). Kerrville, TX: Association for Computational Linguistics (ACL), p. 22979–23001 23 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
Open Access -
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., Sept 2025, In: IEEE Journal on Selected Areas in Communications. 43, 9, p. 3118-3133 16 p.Research output: Contribution to journal › Article › peer-review
Prizes
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Best Student Paper Awards for “FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance”
Zhang, G. (Recipient), Wu, J. (Recipient), Yang, J. (Recipient), Beheshti, A. (Recipient), Xue, E. (Recipient), Zhou, C. (Recipient) & Sheng, M. (Recipient), 2021
Prize
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IEEE ICDM 2021, Best Paper Award
Zhang, G. (Recipient), Wu, J. (Recipient), Yang, J. (Recipient), Beheshti, A. (Recipient), Xue, S. (Recipient), Zhou, C. (Recipient) & Sheng, M. (Recipient), 2021
Prize
Activities
- 2 Presentation
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Next-Generation Recommender Systems and Their Advanced Applications
Wang, S. (Speaker), Hu, L. (Speaker), Wang, Y. (Speaker), Sheng, M. (Speaker), Orgun, M. (Speaker) & Cao, L. (Speaker)
8 Jan 2021Activity: Talk or presentation › Presentation
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Towards Ubiquitous Recommender Systems: Data, Approaches, and Applications
Wang, S. (Speaker), Hu, L. (Speaker), Wang, Y. (Speaker), Sheng, M. (Speaker), Orgun, M. A. (Speaker) & Cao, L. (Speaker)
3 Feb 2021Activity: Talk or presentation › Presentation