Staff Profile

Background

Before joining Newcastle University as a staff, I was a PhD student in Newcastle University. I obtained my PhD degree in Newcastle University in 2022, with the research focusing on the modelling and optimal control of an efficient hybrid propulsion system for an ice-capable ship.

I started my role as a staff at Newcastle University in 2021. As a Research Assistant/Associate at Newcastle University, I have contributed to impactful projects such as the EU Horizon 2020-funded SusTunTech and the Innovate UK-funded RESTORE. I am currently working as Lecturer in Marine Engineering.

Qualifications

• PhD Newcastle University, 2022
• MSc Newcastle University, 2016
• BEng Wuchang Institute of Technology, 2014

Previous Position

• 2022-2025 Newcastle University, Research Associate
• 2021-2022 Newcastle University, Research Assistant
• 2020, Shanghai Marine Diesel Engine Research Institute, Intern 
• 2014, Agility Group Shanghai, Intern

Research Interest

Modelling & Control of Marine Mechanical & Electric Systems and Efficiency Optimization of Power & Energy Management System for Marine Power Systems

Ship Fuel Oil Consumption Estimation, Energy Efficiency Prediction and Performance Analysis Using Data-driven Methods and Machine Learning Approaches

• Articles

  • Zhou Y, Pazouki K, Norman R. A grey-box deep learning modelling strategy for fuel oil consumption prediction: A case study of tuna purse seiner. Ocean Engineering 2025, 324, 120733.
  • Wang B, Zhang J, Zhang B, Zhou Y, Xia Y, Shi J. Flame propagation speed prediction model of premixed methane gas deflagration experiments based on Adamax-LSTM for FLNG. Journal of Loss Prevention in the Process Industries 2024, 91, 105386.
  • Zhou Y, Pazouki K, Norman R. The Modeling and Optimal Control of a Hybrid Propulsion System for an Ice-Capable Tanker. Journal of Ship Research 2023, 67(1), 13-31.
  • Zhou Y, Pazouki K, Murphy AJ, Uriondo Z, Granado I, Quincoces I, Fernandes-Salvador JA. Predicting ship fuel consumption using a combination of metocean and on-board data. Ocean Engineering 2023, 285(2), 115509.
  • Zhou Y, Pazouki K, Norman R, Gao H, Lin Z. An Experimental Investigation into the Feasibility of a DC Hybrid Power Plant for a Northern Sea Route Ship. Journal of Marine Science and Engineering 2023, 11(9), 1653.
  • Zhou Y, Pazouki K, Norman R. The modelling and three-level control of a hybrid propulsion system for a green ice-capable ship. Journal of Cleaner Production 2021, 296, 126577.

• Conference Proceedings (inc. Abstracts)

  • Zhou Y, Pazouki K, Murphy AJ, Uriondo Z, Granado I, Quincoces I, Fernandes-Salvador JA. Modelling tuna purse seiners fuel efficiency in real-world operations using machine learning approaches. In: 15th International Symposium on Practical Designs of Ships and Other Floating Structures (PRADS 2022). 2022, Dubrovnik, Croatia: PRADS.
  • Zhou Y, Pazouki K, Norman R. The Modelling and Optimal Control of a Hybrid Propulsion System for an Ice-Capable Ship. In: 38th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2019. 2019, Glasgow, Scotland: ASME.
  • Zhou Y, Pazouki K, Norman R. Modelling and Control of a Hybrid Propulsion, Ice-Capable Cargo Ship. In: 2nd International Conference on Modelling and Opimisation of Ship Energy Systems (MOSES2019). 2019, Glasgow, Scotland.