Prof. Michael Sheng

Room 233, 4 Research Park Drive, Macquarie University
Phone: +61 2 9850 9505
michael.sheng@mq.edu.au 

  • Internet of Things
  • Big Data Analytics
  • Sensor Networks
  • Artificial Intelligence
  • Machine Learning
  • Services Computing

I am a Professor and Head of the School of Computing. My research focuses onInternet of Things, Big Data Analytics, Artificial Intelligence, Machine Learning, Deep Learning, Web Science, Services Computing, and Sensor Networks. I apply my research to solve real-world challenges such as ageing, cyber security, misinformation, and supply chain management.

  • Internet of Things
  • Big Data Analytics
  • Sensor Networks
  • Artificial Intelligence
  • Machine Learning
  • Services Computing
  • A Secure Smart Sensing and Industry Analytics Facility for Industry 4.0
  • Robust Preference Inference from Spatial-Temporal Interaction Networks
  • What Can You Trust in the Large and Noisy Web?
  • Digital Finance CRC
  • Digital Health CRC
  1. X. Liu, Z. Zhong, Y. Zhou, D. Wu, X. Chen, M. Chen, and Q. Z. Sheng. “Accelerating Federated Learning via Parallel Servers: A Theoretically Guaranteed Approach”, IEEE/ACM Transactions on Networking(ToN), 2022 (in press)
  2. Z. Liu, Q. Z. Sheng, Z. Zhang, X. Xu, D. Chu, J. Yu, and S. Wang. “Accurate and Reliable Service Recommendation based on Bilateral Perception in Multi-Access Edge Computing”, IEEE Transactions on Services Computing, 2022 (in press).
  3. S. Wang, X. Li, Q. Z. Sheng, R. Ruiz, J. Zhang, and A. Beheshti. “Multi-Queue Request Scheduling for Profit Maximization in IaaS Clouds”, IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol 32, No 11, pages 2838-2851, 2021.
  4. J. Ma, J. Wu, J. Zhao, J. Jiang, H. Zhou, and Q. Z. Sheng. “Nonrigid Point Set Registration with Robust Transformation Learning under Manifold Regularization”, IEEE Transactions on Neural Networks and Learning Systems, Vol 30, No 12, pp 3584-3597, 2019.
  5. L. Yao, Q. Z. Sheng, X. Li, T. Gu, M. Tan, X. Wang, S. Wang, and W.Ruan. “Compressive Representation for Device-Free Activity Recognition with Passive RFID Signal Strength”, IEEE Transactions on Mobile Computing (TMC), Vol 17, No 2, pp 293-306, 2018.

Full publication list available at: https://researchers.mq.edu.au/en/persons/michael-sheng