Projects per year
Personal profile
Biography
Dr. Michael Sheng is a full 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 Acting 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).
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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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MQRC 23: MQRC_Consilience_Smart Green Cities
Leishman, M., Davies, P., Sheng, M., Linnenluecke, M., Bishop, M., Nasiri, N. & Bagnall, D.
1/01/23 → 31/12/27
Project: Research
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Intelligent Storytelling with Business Data
Beheshti, A., Sheng, M., Wu, J., Yang, J., Zhang, X., Alinejad Rokny, H. & Asghari, P.
3/11/22 → 1/01/27
Project: Research
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Scalable and Extensible Document intelligence Platform
Beheshti, A., Zhang, X., Mans, B., Wu, J., Liu, G., Sheng, M., Yang, J., Asadniaye Fard Jahromi, M., Ghezelbash, D. & Simpson, M.
14/10/22 → 1/01/27
Project: Research
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Intelligent Data Science Pipelines
Beheshti, A., Sheng, M., Wu, J. & Asadniaye Fard Jahromi, M.
2/11/21 → 1/09/24
Project: Research
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UNSW led : Robust Preference Inference from Spatial-Temporal Interaction Networks
Yao, L., Sheng, M. & Benatallah, B.
1/04/21 → 31/03/24
Project: Research
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A comprehensive survey on collaborative data-access enablers in the IIoT
Sun, D., Hu, J., Wu, H., Wu, J., Yang, J., Sheng, Q. Z. & Dustdar, S., Feb 2024, In: ACM Computing Surveys. 56, 2, p. 1-37 37 p., 50.Research output: Contribution to journal › Article › peer-review
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Accurate and reliable service recommendation based on bilateral perception in multi-access edge computing
Liu, Z., Sheng, Q. Z., Zhang, Z., Xu, X., Chu, D., Yu, J. & Wang, S., 2023, In: IEEE Transactions on Services Computing. 16, 2, p. 886-899 14 p.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
BARA: efficient incentive mechanism with online reward budget allocation in cross-silo federated learning
Yang, Y., Zhou, Y., Hu, M., Wu, D. & Sheng, Q. Z., 2023, Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence. Elkind, E. (ed.). California: International Joint Conferences on Artificial Intelligence, p. 4478-4485 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
Open Access -
Beyond CNNs: exploiting further inherent symmetries in medical image segmentation
Pang, S., Du, A., Orgun, M. A., Wang, Y., Sheng, Q. Z., Wang, S., Huang, X. & Yu, Z., Nov 2023, In: IEEE Transactions on Cybernetics. 53, 11, p. 6776-6787 12 p.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
Can we quantify trust? Towards a trust-based resilient SIoT network
Sagar, S., Mahmood, A., Sheng, Q. Z., Zaib, M. & Sufyan, F., 18 Nov 2023, (E-pub ahead of print) In: Computing. 21 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, 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