Dr Zhiwei Gao

Associate Professor

Department: Mathematics, Physics and Electrical Engineering

Dr David (Zhiwei) Gao

Reader. Department: Mathematics, Physics and Electrical Engineering

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.

He was elevated to IEEE Fellow for contributions to real-time diagnosis and control for wind turbine systems in 2023. He is awarded the RAEng / Leverhulme Trust Research Fellowship devoting to real-time diagnosis and health management for wave energy conversion systems in 2024. He is also the Fellow of AAIA, Fellow of AIIA, and Fellow of HEA.

Dr. Gao is currently the Co-EIC of IEEE Transactions on Industrial Informatics, Senior Editor of IEEE Access, Area Editor of Journal of Ambient Intelligence and Humanized Computing (Springer), Assoicate Editor of IEEE Transactions on Systems Man and Cybernetics: Systems, and ISA Transactions (Elsevier), and the editorial board member of Renewable Energy (Elsevier).

He was the Associate Editor of IEEE Transactions on Automatic Control, IEEE Transactions on Control Systems Technology, IEEE Transactions on Industrial Informatics, and IEEE Transactions on Industral Electronics.

Email Zhiwei

Key Publications

Please visit the Pure Research Information Portal for further information
A Combined Model-Based and Data-Driven Fault Diagnosis Scheme for Lithium-Ion Batteries, Jin, H., Gao, Z., Zuo, Z., Zhang, Z., Wang, Y., Zhang, A. 1 Jun 2024, In: IEEE Transactions on Industrial Electronics
Advanced Global Maximum Power Point Tracking (GMPPT) in PV Systems Using a Triangular Four-Subset Fuzzy Logic and P&O Hybrid Approach, Omokaro, H., Wu, H., Gao, D. 28 Aug 2024, 2024 4th International Symposium on Electrical, Electronics and Information Engineering (ISEEIE), Piscataway, US, IEEE
Application and Research of Music Generation System Based on CVAE and Transformer-XL in Video Background Music, Min, J., Gao, Z., Wang, L. 22 Oct 2024, In: IEEE Transactions on Industrial Informatics
Application Research of Short-Time Fourier Transform in Music Generation Based on the Parallel WaveGan System, Min, J., Gao, Z., Wang, L., Zhang, A. 1 Sep 2024, In: IEEE Transactions on Industrial Informatics
A Robust Anomaly Detection Model for Pumps Based on the Spectral Residual With Self-Attention Variational Autoencoder, Xie, T., Xu, Q., Jiang, C., Gao, Z., Wang, X. 1 Jun 2024, In: IEEE Transactions on Industrial Informatics
A Sentiment-Controllable Music Generation System Based on Conditional Variational Autoencoder, Min, J., Gao, Z., Wang, L., Cai, Z., Wu, H., Zhang, A. 28 Aug 2024, Proceedings of the 2024 International Symposium on Electrical, Electronics and Information Engineering (ISEEIE), Piscataway, IEEE
Bearing Frequency-Related Fault Detection in Pump Systems Using Inference LSTM Autoencoder With Differential Regularization, Xie, T., Gao, Z., Xu, Q., Wu, H., Zhang, A. 28 Aug 2024, Proceedings of the 2024 International Symposium on Electrical, Electronics and Information Engineering (ISEEIE), Piscataway, IEEE
Designing a Completely Distributed Interval Observer for the LTI System, Wang, X., Xu, W., Su, H., Gao, Z., Chen, G. 30 Sep 2024, In: IEEE Transactions on Automatic Control
Enhancing Multivariate Time Series Anomaly Detection With an Inference Stacked Recurrent-Autoencoder in Strong Mechanistic Contexts, Xie, T., Gao, Z., Xu, Q., Jiang, C., Zhang, A. 13 Nov 2024, In: IEEE Transactions on Industrial Informatics
Event-Triggered Federated Learning for Fault Diagnosis of Offshore Wind Turbines With Decentralized Data, Lu, S., Gao, Z., Zhang, P., Xu, Q., Xie, T., Zhang, A. 1 Apr 2024, In: IEEE Transactions on Automation Science and Engineering

Current and Recent Projects

Please visit the Pure Research Information Portal for further information
Lingusitics Course, Busawon, K. (Principal Investigator), Gao, Z. (Co Investigator), Regional Center and Nancy Territorial Center | Epinal, 01/03/20 - 30/04/20, 0.00

PGR Supervision

Reihane Rahimilarki Fault Diagnosis for Wind Turbine Systems by Using Neural Network and Deep Learning Techniques Start Date: 01/10/2017 End Date: 19/07/2021
Yichuan Fu Data-Driven Fault Classification for Wind Turbine Systems Start Date: 01/02/2016 End Date: 21/04/2021
Sarah Odofin Robust Fault Diagnosis by GA Optimisation with Applications to Wind Turbine Systems and Induction Motors Start Date: 31/01/2013 End Date: 27/02/2017
Xiaoxu Liu Fault estimation and fault tolerant control with application to wind turbine systems Start Date: 01/10/2014 End Date: 26/03/2018

Qualifications

Engineering PhD April 14 1996
Alexander von Humboldt Fellowship (AvH Research Fellow) 2004
Fellow, Industry Academy within the International Artificial Intelligence Industry Alliance (AIIA) 2024
Royal Academy Engineering/Leverhulme Trust Fellowship (RAEng/Leverhulme Research Fellow) 2024
Fellow Asia-Pacific Artificial Intelligence Association (AAIA) 2023
Fellow Institute of Electrical & Electronic Engineers (IEEE) 2023
Fellow, Higher Education Academy (HEA) 2015

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