Our research group focuses on the modeling, control, and state estimation of Cyber-Physical Systems (CPS), with an emphasis on developing integrated control frameworks that ensure secure, safe, and high-performance CPS operation. In this context, we address both fundamental theory and practical applications, systematically investigating the dynamic behavior and control design of CPS from a control-oriented perspective. Specific research areas include scenario-based fault injection testing frameworks for autonomous driving systems, learning-based uncertainty-aware navigation, interaction-aware prediction and planning, and the development of high-assurance autonomous flight control software to ensure the safety and reliability of Advanced Air Mobility (AAM) vehicles.