Michael Sheng

Professor

Professor, Department of Computing

https://orcid.org/0000-0002-3326-4147

Phone+61 2 9850 9505
Emailmichael.sheng@mq.edu.au

Source: Scopus
Calculated based on no. of publications stored in Pure and citations from Scopus

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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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1 Finished
15 Active

What Can You Trust in the Large and Noisy Web?
Sheng, M., Yang, J., Zhang, W. & Dustdar, S.
1/05/20 → 30/04/23
Project: Research
CSIRO Top-up Scholarship for Waterworth
Sheng, M. & Waterworth, D.
15/04/20 → 1/07/22
Project: Research
Towards a Reliable and Explainable Health Monitoring and Caring System
Ruan, W. & Sheng, M.
1/01/20 → 31/12/22
Project: Other
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.
Macquarie University
1/01/20 → 31/12/26
Project: Research
Capital Markets CRC PhD Scholarship (David Waterworth)
Sheng, M. & Waterworth, D.
1/07/19 → 30/06/22
Project: Research

6451 Citations
34 h-Index
177 Conference proceeding contribution
124 Article
36 Editorial
12 Chapter
22 More

Adversarial attacks on deep-learning models in natural language processing: a survey
Zhang, W. E., Sheng, Q. Z., Alhazmi, A. & Li, C., Apr 2020, In : ACM Transactions on Intelligent Systems and Technology. 11, 3, p. 1-41 41 p., 24.
Research output: Contribution to journal › Review article

Open Access
6 Citations (Scopus)
A hybrid approach for intrusive appliance load monitoring in smart home
Nguyen, V. K., Phan, M. H., Zhang, W. E., Sheng, Q. Z. & Vo, T. D., 2020, Proceedings - 2020 IEEE International Conference on Smart Internet of Things, SmartIoT 2020. Los Alamitos, California: Institute of Electrical and Electronics Engineers (IEEE), p. 154-160 7 p. (Proceedings - 2020 IEEE International Conference on Smart Internet of Things, SmartIoT 2020).
Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution
AMRNN: attended multi-task recurrent neural networks for dynamic illness severity prediction
Chen, W., Long, G., Yao, L. & Sheng, Q. Z., Sep 2020, In : World Wide Web. 23, 5, p. 2753-2770 18 p.
Research output: Contribution to journal › Article
Analyzing the sensitivity of Deep Neural Networks for sentiment analysis: a scoring approach
Alhazmi, A., Zhang, W. E., Sheng, Q. Z. & Aljubairy, A., 2020, 2020 International Joint Conference on Neural Networks, IJCNN 2020 - Proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 7 p. (Proceedings of the International Joint Conference on Neural Networks).
Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution
Are modern deep learning models for sentiment analysis brittle? An examination on Part-of-Speech
Alhazmi, A., Zhang, W. E., Sheng, Q. Z. & Aljubairy, A., 2020, 2020 International Joint Conference on Neural Networks, IJCNN 2020 - Proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 7 p. (Proceedings of the International Joint Conference on Neural Networks).
Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution