Mark Fuge

Prof. Dr. Mark Fuge is a professor in the Department of Mechanical Engineering at ETH Zurich. His research focuses on machine learning, artificial intelligence, high-performance computing, simulation, and product and system design for aerospace, healthcare, and robotics applications. His work explores the integration of advanced computational methods to address complex engineering challenges across multiple domains.

Mark Fuge is a researcher at ETH Zurich with expertise in Product Design, Machine Learning, Statistics, Design Creativity, and Computational Design. His work explores the intersection of design and machine learning, focusing on generative adversarial networks (GANs) for aerodynamic design optimization, molecular design, and inverse design of cellular structures. He also investigates design creativity through metrics and collaborative design networks, as well as the application of machine learning in engineering design and energetic material properties. His research emphasizes the use of statistical methods and computational tools to enhance design processes and foster innovation.