Guest Lecture and Research Visit by Professor Xu

His talk focused on improving complex systems when simulations are expensive and constraints are difficult to handle. He developed a new approach called Exact Penalty Bayesian Optimization, which combines statistical surrogate models with numerical optimization. This makes it possible to work efficiently even when starting from infeasible points or when equality constraints would otherwise slow down computation. The goal is to obtain reliable results under tight computational budgets, with applications ranging from engineering design to applied research and decision making.

During his stay, scientific collaboration as well as personal and cultural exchange play an important role. Professor Xu takes part in the everyday life of the group and becomes familiar with the local academic environment. At the same time, we gain insights into research culture and academic practices in China. We also spend time together outside of work, for example by attending a Borussia Dortmund home match.

We thank Professor Xu for his visit and the pleasant collaboration and look forward to continuing our exchange in the future.