Zhijing Liao


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Personal profile


My research interests encompass a diverse array of topics within the field of control systems and renewable energy. I specialize in optimal control theory, model predictive control, pseudo-spectral control, and wave prediction techniques, with applications to the development and optimization of offshore renewable energy systems.

My practical experience extends to conducting real-time control experiments and indoor wave basin tests. To date, I have actively contributed to two significant wave energy research projects:

  1. The Wave Energy Scotland Control Systems Project,  funded by Wave Energy Scotland, UK.

  2. The System-level Co-design and Control of Large Capacity Wave Energy Converters with Multiple PTOs project, which is funded by the EPSRC, UK.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 7 - Affordable and Clean Energy
  • SDG 14 - Life Below Water

Education/Academic qualification

Doctor of Engineering, Queen Mary University of London

1 Oct 20171 Dec 2021

Award Date: 1 Dec 2021

Bachelor of Engineering, Politecnico Di Torino

1 Sept 20161 Jul 2017

Award Date: 1 Jul 2017

Bachelor of Engineering, Beijing Institute Of Technology

1 Sept 20131 Jul 2017

Award Date: 1 Jul 2017


  • Control Theory
  • Model predictive control
  • offshore renewable energy
  • Wave energy


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Collaborations and top research areas from the last five years

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