Seyed Azim Hosseini Farghani

I’m focused on advancing sustainable technologies in maritime transport. My work centers on developing physics-informed machine learning models to simulate the complex interactions between ship components — including the hull, wind-assisted propulsion systems (WAPS), rudder, engine, and controllable pitch propeller (CPP).

These models are designed to enhance the understanding and control of WAPS under real-world conditions, enabling better integration into both existing fleets and future ship designs. In addition to performance optimization, they also support applications in maritime simulators — helping explore training, decision support, and human-system interaction in next-generation ship operations.