Dr Xiaolei Liu
- Lecturer in Geo-energy Engineering (Systems Power & Energy)
Dr.-Ing. Xiaolei Liu (PhD/MSc/PGCert/BEng/CEng/MIMechE/FHEA/P2P) joined the University of Glasgow in December 2018 after holding the post of Research Fellow in Mechanical Engineering at Cranfield University. His academic profile was previously developed at the Faculty of Energy and Economic Sciences, Technische Universität Clausthal in Germany. His expertise has been deepened in a broad area of Mechanical Engineering, mainly in the fields of Energy & Power Engineering, with a focus on renewable energies & fluid mechanics through advanced experiments and high-effective programming/modelling.
In the last a few years, his computational work has been extended to data science/mining based on machine learning and deep learning established by various intelligent frameworks (such as Scikit-Learn, TensorFlow, and Keras). Recently, his research is concentrated more on investigations of wide-ranging engineering challenges in faults detection/prediction through digital signals, wind power forecasting, and multiphase flow regime identification.
To be involved in the energy sector outside of academia, he registers with the Engineering Council (UK) as a Chartered Engineer (CEng) and owns the membership in the Institution of Mechanical Engineers (IMechE). Furthermore, he is a Fellow in the Higher Education Academy (FHEA) and a recognized teacher for teaching and learning in higher education. Also, he is a licensed PRINCE2 Practioner in Project Management. He is the associate editor of Energy Systems (Springer-Verlag GmbH Germany, part of Springer Nature) and have been a regular reviewer of several leading journals in the energy sector, such as Renewable Energy, Energy and Applied Energy. He has also been invited to organize a few international conferences in the renewable energy sector.
- Improving Wind Turbine Operation and Maintenance (O&M)
- Multiphase Flow Measurements
- Energy Interface/Hybrid Energy Solutions
- Faults Detection/Prediction through Digital Signals
- Method and Application of Machine Learning
- Offshore Wind Power Forecasting
- Multiphase Flow Reference Metrology (MultiFlowMet II) project; sponsored by the European Commission via European Association of National Metrology Institutes (EURAMET); Role: Co-I.
Current PhD students:
- Mr. Shahram Hanifi (first supervisor)
- Mr. Lingte Chen (first supervisor)
- Mr. Tenghui Li (first supervisor)
- Mr. Wanquan Zhang (first supervisor)
- Mr. Rory Morrison (first supervisor)
- Mr. Gaddafi Almannouny (second supervisor)
- Mr Bader Alqahtani (second supervisor)
- Mr. Yushen Miao (second supervisor)
If you are ambitious in academic and interested to pursue a PhD degree, you are more than welcome to send a one-page research proposal and an academic Curriculum Vitae (CV) to me. The College of Science & Engineering offers various Student Funding Opportunities. Also, the division of Systems, Power and Energy provides a number of PhD Openings. International exchange students and visiting scholars are also appreciated. If you are applying for the China Scholarship Council 2019, you could find out here how it works within the University of Glasgow.
- Morrison, Rory
Machine Learning for Offshore Wind Turbine Operations and Maintenance
- Fluid Mechanics 3 ENG3030 (Academic Session: 2019-20)
- Simulation of Engineering Systems 3 ENG3036 (Academic Session: 2019-20)
- Chartered Engineer (CEng) registered in Engineering Council
- Member of the Institution of Mechanical Engineers (MIMechE)
- Session Co-chair (renewable energy, O&M sector) for the 38th OMAE-International Conference on Ocean, Offshore and Arctic Engineering
- Fellow of the Higher Education Academy (FHEA)
- Member of AXELOS
Reviewer of “Royal Society Open Science (Royal Society Publishing)”
Reviewer of “Applied Energy”
- Reviewer of “Energy”
- Reviewer of “Renewable Energy”
- Reviewer of “Energy Reports”
- Reviewer of “International Conference on Ocean, Offshore & Arctic Engineering (OMAE)”
- Reviewer of “Ocean Engineering”
- Reviewer of “Journal of Natural Gas Science and Engineering”