Engineering System

Engineering system design focuses on optimizing complex systems by integrating diverse components and managing uncertainties. Current research emphasizes leveraging AI, particularly deep generative models, Bayesian optimization (often incorporating human expertise), and deep Q-learning, to improve design efficiency and robustness. These advancements aim to address challenges in uncertainty mitigation, multidisciplinary optimization, and the integration of human factors, ultimately leading to more efficient and reliable system designs across various engineering domains.