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Dr LONG ZHANG
Applications accepted all year round
Awaiting Funding Decision/Possible External Funding
About the Project
The project mainly focuses on high performance machine learning algorithms development and their applications to addressing practical problems. State-of-art machine learning and statistical methods will be investigated and compared in terms of their performance. Further, new machine learning methods will be developed to provide better solutions than the currently available methods. Finally, these state-of-art methods will be applied to addressing the challenges in renewable energy industry, e.g. wind turbine health monitoring. Some key words for the projects:
(1) Machine learning
(2) Artificial intelligence
(3) Neural networks
(4) Data analytics and modelling
(5) Renewable energy
(1) Machine learning
(2) Artificial intelligence
(3) Neural networks
(4) Data analytics and modelling
(5) Renewable energy
Funding Notes
Funds may be available
References
The candidate is expected with 1st Honours degree in electrical engineering, maths or computer science or related subjects. We are looking for self-motivated students with excellent communication skills, and abilities to carry out world leading research.
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