Description

This project focuses on exploring the application of transfer learning techniques in the analysis and design of aerospace systems. The student will investigate how pre-trained models can be adapted to new but related aerospace engineering problems, such as aerodynamic optimization, structural analysis, or propulsion system design. The project will involve identifying suitable base models, applying transfer learning strategies, and evaluating the performance and efficiency improvements compared to models trained from scratch.

The aim is to assess the potential of transfer learning to reduce computational costs and enhance model accuracy for aerospace engineering applications.

Key Objectives

• A review of literature on transfer learning in engineering and aerospace contexts.

• Development of a transfer learning framework for a specific aerospace system or component.

• Comparative analysis of the transfer learning approach versus traditional training methods.