This project aims to develop advanced computational models to optimise FES-rowing protocols for individuals with neuromuscular impairments. By leveraging predictive simulations, the framework will estimate muscle activations, joint forces, and energy expenditure during FES-rowing, providing insights into optimal stimulation patterns and training setups. The project addresses critical gaps in understanding how FES interacts with biomechanical and physiological factors during rowing, enabling personalised and efficient therapy design. This research will lay the groundwork for safer and more effective FES-rowing practices, promoting its adoption in rehabilitation and fitness applications.