Yuqiang Gu

Main contribution: Control of AI Agents for the development of medical software and establishment of an internal AI agent platform, enabling employees to use AI agents more efficiently for software development. Analysis of existing software architectures and transfer of this architecture into structured knowledge and rules for AI agents. Development of plugins, skills, and context engineering for AI agents, allowing internal employees to use AI faster and more effectively in their daily development work. Evaluation and continuous further development of the potential of AI agents for use in software development.

Main contribution: Use of AI agents for the development of a cloud-based e-learning platform for data science for internal courses and lecturers at DHBW. Definition of a framework based on Django and React for development with AI agents, as well as design of a clear software architecture and development rules, ensuring AI implements the right components in the right place. Provision of software applications with service-oriented architecture using Git, Linux, Docker, and Kubernetes. Use of GenAI to support teaching in programming.

Main contribution: Development of data-driven methods for root cause analysis for press-fit assembly processes. Development of Python-based monitoring and visualization tools for ECU assembly processes. Implementation of statistical analysis and AI-based methods for identifying manufacturing problems. Development of probabilistic and association rule mining-based root cause analysis tools for analyzing the scrap rate of PCB press-fit assembly processes.