Projects per year
Personal profile
Biography
Dr. Michael Sheng is a full Professor and Head of Department 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 7th all time worldwide). 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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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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A behavioural network traffic novelty detection for the internet of things infrastructures
Hamad, S. A., Sheng, Q. Z., Tran, D. H., Zhang, W. E. & Nepal, S., 2021, Parallel Architectures, Algorithms and Programming: 11th International Symposium, PAAP 2020 Shenzhen, China, December 28–30, 2020 Proceedings. Ning, L., Chau, V. & Lau, F. (eds.). Singapore, Singapore: Springer, Springer Nature, p. 174-186 13 p. (Communications in Computer and Information Science; vol. 1362).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
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BERT-CoQAC: BERT-based conversational question answering in context
Zaib, M., Tran, D. H., Sagar, S., Mahmood, A., Zhang, W. E. & Sheng, Q. Z., 2021, Parallel Architectures, Algorithms and Programming: 11th International Symposium, PAAP 2020 Shenzhen, China, December 28–30, 2020 Proceedings. Ning, L., Chau, V. & Lau, F. (eds.). Singapore, Singapore: Springer, Springer Nature, p. 47-57 11 p. (Communications in Computer and Information Science; vol. 1362).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
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Cognitive augmentation in processes
Barukh, M. C., Zamanirad, S., Baez, M., Beheshti, A., Benatallah, B., Casati, F., Yao, L., Sheng, Q. Z. & Schiliro, F., 2021, Next-gen digital services: a retrospective and roadmap for service computing of the future. Aiello, M., Bouguettaya, A., Tamburri, D. A. & van den Heuvel, W-J. (eds.). Cham, Switzerland: Springer, Springer Nature, p. 123-137 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12521 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Dataset for toothbrushing activity using brush-attached and wearable sensors
Hussain, Z., Waterworth, D., Mahmood, A., Sheng, Q. Z. & Zhang, W. E., Aug 2021, In: Data in Brief. 37, p. 1-7 7 p., 107248.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Designing and building context-aware services: the ContextServ project
Sheng, Q. Z., Yu, J., Zhang, W. E., Wang, S., Li, X. & Benatallah, B., 2021, Next-gen digital services: a retrospective and roadmap for service computing of the future. Aiello, M., Bouguettaya, A., Tamburri, D. A. & van den Heuvel, W-J. (eds.). Cham, Switzerland: Springer, Springer Nature, p. 138-152 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12521 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review