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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Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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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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Intelligent Educational Knowledge Lake
Beheshti, A., Bower, M., Sheng, M., Yang, J. & Asadniaye Fard Jahromi, M.
30/11/20 → 31/10/23
Project: Research
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SmartCrete CRC
Clark, S., Wu, S., Salehi, F., Bishop, M., Trueck, S., Linnenluecke, M., Mukhopadhyay, S., Sheng, M., Beheshti, A., Hansen, S., Dekker, P., Jackson, S., Asadniaye Fard Jahromi, M., Wiggins, M., Ams, M., Withford, M., Beheshti, A., Dafforn, K., Giri, P., Sofronov, G., Taheri, S. & Abbassi, R.
21/09/20 → 20/09/27
Project: Research
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UNSW led: Context and Activity Recognition for Personalised Behaviour Recommendation
Yao, L., Benatallah, B., Sheng, M. & Zhang, Y.
7/07/20 → 6/07/23
Project: Research
Research Outputs
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Accelerating federated learning via parallel servers: a theoretically guaranteed approach
Liu, X., Zhong, Z., Zhou, Y., Wu, D., Chen, X., Chen, M. & Sheng, Q. Z., 5 May 2022, (E-pub ahead of print) In: IEEE/ACM Transactions on Networking.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., 1 Mar 2022, (E-pub ahead of print) In: IEEE Transactions on Services Computing.Research output: Contribution to journal › Article › peer-review
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A Comprehensive Survey on Community Detection With Deep Learning
Su, X., Xue, S., Liu, F., Wu, J., Yang, J., Zhou, C., Hu, W., Paris, C., Nepal, S., Jin, D., Sheng, Q. Z. & Yu, P. S., 9 Mar 2022, (E-pub ahead of print) In: IEEE Transactions on Neural Networks and Learning Systems. 21 p.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
An IoT edge computing framework using Cordova Accessor Host
Ngu, A. H. H., Eyitayo, J. S., Yang, G., Campbell, C., Sheng, Q. Z. & Ni, J., 1 Jan 2022, In: IEEE Internet of Things Journal. 9, 1, p. 671-683 13 p.Research output: Contribution to journal › Article › peer-review
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Context-aware and adaptive QoS prediction for mobile edge computing services
Liu, Z., Sheng, Q. Z., Xu, X., Chu, D. & Zhang, W. E., 2022, In: IEEE Transactions on Services Computing. 15, 1, p. 400-413 14 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Citations (Scopus)
Prizes
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IEEE ICDM 2021, Best Paper Award
Zhang, G. (Recipient), Wu, Jia (Recipient), Yang, J. (Recipient), Beheshti, Amin (Recipient), Xue, S. (Recipient), Zhou, C. (Recipient) & Sheng, Michael (Recipient), 2021
Prize
Activities
- 2 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
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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