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Health monitoring and diagnosis for wind turbine systems Resilient control for complex industrial systems Control and optimization for power electronics and systems

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Biography

Dr David (Zhiwei) Gao

Reader, Associate Professor. Department: Mathematics, Physics and Electrical Engineering

Dr. Gao joined Northumbria University in 2011, and he is the Head of Electrical Power and Control Systems Research Group. Before joining Northumbira University, he held research and academic positions respectively in Newcaslte University, University of Liverpool, University of Leicester, University of Manchester, University of Duisburg-Essen, and Tianjin University. 

Dr. Gao is the senior member of IEEE, and HEA fellow. He was the recipient of the Alexander von Humboldt Reserach Fellowship in 2004.

Dr. Gao is currently the Associate Editor of IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Informatics, IEEE Transactions on Industrial Electronics, ISA Transactions (Elsevier), IEEE Access, and Journal of Ambient Intelligence and Humanized Computing (Springer). He is the editorial board member of Renewable Energy (Elsevier).

The following special issues are open for the submission:

The special issue ``Modelling, Monitoring, Control and Optimization for Complex Industrial Processess'' in Process is open for the submission via the link

The special issue ``Distributed Estimation and its Applications in Networked Systems'' in Journal of The Franklin Institue is open for the submission via the link

The special issue ``Pattern Recognition for Cyber-Physical-Social Services'' in Pattern Recognition Letter is open for the submission via the link

The speical session `Biometrics in Industry 4.0 Open Challenges and Future Perspectives'' in IEEE Transactions on Industrial informatics is open for submssion via the link.

For the publication information, please see the Google Shcolar via the link.

 

 

Research interests

Condition monitoring and fault diagnosis, fault tolerant design and control, machine learning and data-driven approaches, and their applications in wind turbine systems, power converters, power systems, onshore and offshore renewable energy systems. 

Education/Academic qualification

Engineering, PhD

14 Apr 199631 Dec 2099

Award Date: 14 Apr 1996

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