Quan Z. Sheng
Also known as Michael Sheng
Quan Z. Sheng is a computer scientist at Macquarie University in Sydney whose research connects the Internet of Things with service computing and machine learning. He worked at the University of New South Wales as a visiting research fellow from 1999 to 2001, spent ten years at the University of Adelaide's School of Computer Science, and received the Chris Wallace Award for Outstanding Research Contribution in 2012 and an ARC Future Fellowship in 2014. In 2021, he coauthored the Communications of the ACM article An Internet of Things Service Roadmap, and he coauthored surveys on deep learning for community detection and graph anomaly detection. He is a Distinguished Professor in Macquarie's School of Computing, served as its Head of School from 2017 to 2026, and is a Deputy Director of the ARC Research Hub in the IoT for Water.
- Now at
- Macquarie University and Australian Research Council Research Hub in the Internet of Things for Water
Timeline
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1999–2003
UNSW and a Microsoft fellowship
After six years as a senior software engineer in industry, he works at the University of New South Wales as a visiting research fellow from 1999 to 2001. He earns a computer science PhD at UNSW and does postdoctoral work as a research scientist at the CSIRO ICT Centre. In 2003, he receives a Microsoft Research Fellowship.
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2012
Chris Wallace research award
He receives the Chris Wallace Award for Outstanding Research Contribution in 2012.
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2014
ARC Future Fellowship
He receives an Australian Research Council Future Fellowship in 2014.
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2017–2026
Head of Computing at Macquarie
Before moving to Macquarie University, he spends ten years at the University of Adelaide's School of Computer Science, where he serves as interim Head and Deputy Head of School. He serves as Head of School of Computing at Macquarie from 2017 to 2026. By 2022, he is also Associate Director of Macquarie's Smart Green Cities Research Center and Vice Chair of the Executive Committee of the IEEE Technical Community on Services Computing.
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2018
AMiner Most Influential Scholar
AMiner gives him its Most Influential Scholar Award on IoT in 2018, covering the years 2007 to 2017.
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2021–2024
IoT roadmap and graph surveys
In 2021, he coauthors An Internet of Things Service Roadmap with Athman Bouguettaya, Boualem Benatallah, Lina Yao and others, a Communications of the ACM cover article that combines service computing with Internet of Things technology. He also coauthors surveys of community detection and graph anomaly detection with deep learning, published in IEEE TNNLS in 2024 and IEEE TKDE in 2023, and a survey of session-based recommender systems in ACM Computing Surveys in 2022.
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As of October 2026
Distinguished Professor at Macquarie
He is a Distinguished Professor in the School of Computing at Macquarie University and a Deputy Director of the ARC Research Hub in the IoT for Water. Springer publishes his book with Yao Liu and Lina Yao, Harnessing Artificial Intelligence and Pervasive Internet of Things for an Empowered Aging, in May 2026.
Career
- Since 2017Macquarie UniversityHead of School
- NowAustralian Research Council Research Hub in the Internet of Things for WaterDeputy Director
- Until 2017University of AdelaideInterim Head and Deputy Head of School
- 1999–2001UNSW SydneyVisiting Research Fellow
- CSIROResearch Scientist
Education
- UNSW SydneyPhD
Sources and credits
Photo: We have no published photo of Quan Z. Sheng yet. Send us a free-licensed photo.
- Prof. Quan Z. (Michael) Sheng's Home Page
- IEEE ICWS 2022 Keynote: Michael Sheng
- Speakers – AIHE 2025 – Nguyen Tat Thanh University
- [2103.03043] An Internet of Things Service Roadmap
- [2105.12584] A Comprehensive Survey on Community Detection with Deep Learning
- [2106.07178] A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
- [1902.04864] A Survey on Session-based Recommender Systems


