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Professor Andy Keane's main research interest is the use of computational methods for design analysis in aerospace systems, including aero-engines, airframes, unmanned aerial vehicles (UAVs), and satellite structures. He focuses on automated decision support tools and optimization methods linked with advanced parametric computer-aided design (CAD) manufacturing approaches. His work involves the development of surrogate-based design optimization techniques and the application of artificial intelligence (AI) and deep learning within engineering design processes.