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) in 2021 and as one of the Highly Ranked Scholars (Top 3 Lifetime) in Web Information System by ScholarGPS in 2025. 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 served as the Vice Chair of the Executive Committee of the IEEE Technical Community on Services Computing (IEEE TCSVC, 2022-2024), is the Deputy Director of the ARC Research Hub in the IoT for Water, 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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CRC R25 - Head Agreement (La Trobe led): Care Economy Cooperative Research Centre
Blackberry, I. (Chief Investigator), Degotardi, S. (Primary Chief Investigator), Wong, S. (Chief Investigator), Mitchell, R. (Chief Investigator), Hadley, F. (Chief Investigator), Gu, T. (Chief Investigator), Jepsen, D. (Chief Investigator), Spies-Butcher, B. (Chief Investigator), Harrison, L. J. (Chief Investigator) & Sheng, M. (Chief Investigator)
2/10/25 → 1/10/35
Project: Research
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AI-Driven Public Health and Healthcare Data Analysis
Zhou, Y. (Primary Chief Investigator) & Sheng, M. (Chief Investigator)
26/09/25 → 31/12/29
Project: Research
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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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A multi-view neural framework with attention for epileptic seizure classification
Feng, L., Xu, B., Duan, L., Ni, W. & Sheng, Q. Z., Feb 2026, In: Journal of Neural Engineering. 23, 1, p. 1-20 20 p., 016018.Research output: Contribution to journal › Article › peer-review
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A survey of adaptive routing techniques in two-dimensional network-on-chip architectures
Kondoth, L., Shankaran, R., Sheng, Q. Z., Kuantama, E. & Ni, W., 2026, In: IEEE Communications Surveys and Tutorials. 28, p. 3195-3234 40 p.Research output: Contribution to journal › Article › peer-review
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A survey of the state of the art in conversational question answering systems
Perera, M. M., Mahmood, A., Wijethilake, K. E., Islam, F., Tahermazandarani, M. & Sheng, Q. Z., Dec 2026, In: Knowledge and Information Systems. 68, 1, p. 1-50 50 p., 31.Research output: Contribution to journal › Review article › peer-review
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A survey on Reinforcement Learning methods for UAV systems
Chen, H., Lin, Y., Fu, M., Yao, L. & Sheng, M., Mar 2026, In: ACM Computing Surveys. 58, 4, p. 1-37 37 p., 103.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Link opens in a new tab Citations (Scopus) -
DIAA: A Decoding-Efficient Inference Acceleration Approach for On-Device Large Language Models
Tian, H., Lu, S., Tian, F., Cui, G., Li, Z., Zhang, X., Sheng, M. & Dou, W., 2026, (Accepted/In press) The 40th AAAI Conference on Artificial Intelligence.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › 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