The ZHAW IAMP (Institute of Applied Mathematics and Physics) Safety-Critical Systems Research Lab (SCS) promotes technological progress in various fields like hazard and risk analysis, functional safety of complex sociotechnical systems (e.g. automotive, nuclear and railway), RAMS and certification and verification methods. In this talk, a selection of current applied research projects at the SKS are presented, focusing on the project CertAInty: The increasing adoption of Artificial Intelligence (AI) systems necessitates the certification of their trustworthiness, emphasizing aspects like reliability and transparency. As regulatory standards emerge, it becomes vital to provide clear, actionable guidelines for both developers and certifying bodies to assure the trustworthiness of AI technologies. The project is centered around creating a robust AI certification scheme. A certification scheme is a framework for assessing the trustworthiness of AI systems and encompasses a set of specific requirements and criteria, along with corresponding methods and metrics to fulfil the criteria. Importantly, the scheme makes an explicit link between such requirements and validated techniques for assessing the compliance of AI systems, resulting in the implementation of a concrete workflow to support AI certification.