Abstract SU2 is an open-source software for the analysis of (coupled) partial differential equations (PDEs) and (multi-objective) PDE-constrained optimization problems on unstructured meshes with state-of-the-art numerical methods. The availability of a shared code base facilitates the collaboration of engineers and scientist on a global level and grants access to industry-standard analysis tools. Thus, SU2 fosters a rapid dissemination of advances in numerical methods for (coupled) simulations, and (shape) design optimization (in multiphysics context) for the online community of users and developers. This mini-symposium invites presentations from engineers and researchers who develop methods within SU2 or use SU2 for their engineering design optimization problems. Topics include, but are not limited to: 1. (Coupled) adjoint methods and algorithmic differentiation. 2. Multidisciplinary design optimization methods and applications. 3. Surrogate-based design optimization methods. 4. Engineering design under uncertainties. References [1] Economon, Thomas D., et al. "SU2: An open-source suite for multiphysics simulation and design." AIAA Journal 54.3 (2016): 828-846. [2] Albring, Tim A., Max Sagebaum, and Nicolas R. Gauger. "Efficient aerodynamic design using the discrete adjoint method in SU2." 17th AIAA/ISSMO multidisciplinary analysis and optimization conference. 2016. [3] Burghardt, Ole, et al. "Discrete adjoint methodology for general multiphysics problems: A modular and efficient algorithmic outline with implementation in an open-source simulation software." Structural and Multidisciplinary Optimization 65.1 (2022): 28.