Research fields for cooperation#

We are looking forward to cooperating with you in the following R&D fields.

Wengang Mao (毛文刚) #

contact

Energy efficiency measures#

  • Optimization of ship resistance, engine load and propulsion efficiency

  • Control algorithm for CPP ship navigation

  • Electrifying ships with optimization speed and battery configurations

Autonomous shipping#

  • How to introduce uncertain models in MPC control algorithms

  • Kalmar filter or wavelet methods to get smooth u, v, r for maneuverability models of various ship propulsion systems

  • RNN+LSTM learning to predict real-time ship trajectories

  • Re-inforcement learning for near future path planning

  • Machine learning methods to predict and forecast a ship’s navigation behavior

Spatio-temporal modelling of metocean parameters#

  • SPDE models and conditional prediction for short-term weather prediction

  • Spatio-temporal modelling of wind and wave environments

  • Spatio-temporal/SPDE metocean models to assist ship navigation

  • Wave statistics to ship safety

Machine learning for maritime applications#

  • ML DCP method to split stationary sea states and their applications

  • Hybrid models for ship performance modelling

  • How to get baselines from ML analysis

  • ARIMA and LSTM for dynamic ship performance prediction (must be more accurate than ordinary machine learning methods)