Dr Yunpeng Zhu
PhD(Sheffield)
Lecturer in Systems Engineering
E408, Engineering, Mile End
| Feedback/ support hours: |
Wednesday 13:00-14:00 |
| Expertise: | Data-driven dynamical systems, including Nonlinear dynamics; System identification; Complex systems analysis and design; System condition monitoring; Vibration isolation and control; Energy harvesting, etc., as well as their engineering applications across a variety of disciplines. |
| Research Centre: |
Brief Biography
Dr. Zhu is a lecturer in Systems Engineering at QMUL since 2022. He received his B.S. and M.S. degrees in Mechanical Engineering and Automation in 2013 and 2015, respectively, from the Northeastern University, China. A PhD from the Department of Automatic Control and Systems Engineering (ACSE) at the University of Sheffield was awarded in 2020. He started to work in 2018 as a Research Associate within the Department of ACSE, specializing in the theories and methods for complex systems analyses and design and relevant applications in mechanical engineering and advanced manufacturing.
Dr. Zhu achieved the Springer-Nature Thesis award in 2020. He was awarded the Chinese Government Award for Outstanding Self-financed Students Abroad in 2018. Only 500 PhD students receive this Award per year all over the world. He has published over 40 papers in high quality journals including Automatica, IEEE trans, Nonlinear dynamics, MSSP, etc. His areas of interest include Data-driven science, Physically interpretable machine learning, and their applications to dynamical systems in several key areas: Nonlinear dynamics, System identification, Complex systems analysis and design, System condition monitoring, Predictive maintenance, Vibration isolation and harvesting, etc., as well as their applications to mechanical engineering, manufacturing, structure and material science, construction and transportation engineering, etc..
Dr. Zhu achieved the Springer-Nature Thesis award in 2020. He was awarded the Chinese Government Award for Outstanding Self-financed Students Abroad in 2018. Only 500 PhD students receive this Award per year all over the world. He has published over 40 papers in high quality journals including Automatica, IEEE trans, Nonlinear dynamics, MSSP, etc. His areas of interest include Data-driven science, Physically interpretable machine learning, and their applications to dynamical systems in several key areas: Nonlinear dynamics, System identification, Complex systems analysis and design, System condition monitoring, Predictive maintenance, Vibration isolation and harvesting, etc., as well as their applications to mechanical engineering, manufacturing, structure and material science, construction and transportation engineering, etc..