Computational Design

Computational design leverages algorithms and models to automate the design process across diverse fields, aiming to optimize designs based on performance criteria and constraints. Current research emphasizes the use of AI, including deep learning models like neural fields and generative adversarial networks, alongside advanced optimization techniques such as Bayesian optimization and ensemble methods, to navigate complex design spaces and handle high-dimensional problems. This approach is significantly impacting various sectors, from robotics and civil engineering to biomedical engineering and cybersecurity, by accelerating design cycles, improving design quality, and enabling the exploration of previously inaccessible design options.