Contact Mengbang Zou
- Email: M.Zou@cranfield.ac.uk
- ORCID
Background
Mengbang Zou received his Ph.D. degree in School of Aerospace, Transport and Manufacture, Cranfield University. Now he is a Research Fellow in 6G Communications and Computing funded by Engineering and Physical Sciences Research Council (EPSRC).
Research opportunities
His research mainly focuses on nonlinear dynamic system, graph theory and machine learning.
Publications
Articles In Journals
- Zou M, Guo W & Chu K-F. (2024). Rewiring Complex Networks to Achieve Cluster Synchronization Using Graph Convolution Networks With Reinforcement Learning. IEEE Transactions on Network Science and Engineering, PP(99)
- Zong Y, Dai X, Wei Z, Zou M, Guo W, .... (2023). Robust Time Synchronization for Industrial Internet of Things by H ∞ Output Feedback Control. IEEE Internet of Things Journal, 10(3)
- Zou M & Guo W. (2023). Local Assortativity Affects the Synchronizability of Scale-Free Network. IEEE Systems Journal, 17(2)
- Zou M, Fragonara LZ, Qiu S & Guo W. (2023). Uncertainty quantification of multi-scale resilience in networked systems with nonlinear dynamics using arbitrary polynomial chaos. Scientific Reports, 13(1)
- Zou M & Guo W. (2022). Analysing region of attraction of load balancing on complex network. Journal of Complex Networks, 10(4)
- Moutsinas G, Zou M & Guo W. (2021). Uncertainty of Resilience in Complex Networks With Nonlinear Dynamics. IEEE Systems Journal, 15(3)