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

Undergraduate Teaching

MAR2018 Marine Engineering II

MAR2020 Applications of Engineering II

Postgraduate Teaching

MAR8185 Marine Systems and Digitalisation

MAR8187 Ship Performance and Advanced Technology

MAR8103 Marine Systems Identification, Modelling and Control

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, Turkmen S, Pazouki K, Norman R. Route and speed optimisation of a general cargo ship using extreme gradient boosting and enhanced Deep Q-Network approaches. Transportation Research Part E: Logistics and Transportation Review 2026, 206, 104555.
  • Zhou Y, Turkmen S, Pazouki K, Norman R. Retrofitted Gate Rudder System In Situ Performance Analysis Using Data-Driven Method. Journal of Marine Science and Engineering 2025, 13(9), 1667.
  • 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.