The CDS research focuses on innovative algorithms, techniques, and tools in Artificial Intelligence (AI), machine learning, optimization, and robotics. Key areas include the analysis of heterogeneous data from diverse sensing devices, brain-inspired computing for adaptive systems, and the development of formal methods and static program analysis to ensure predictability and reliability. The research ranges from theoretical advancements to practical applications developed in close collaboration with industry partners.

CDS research enables systems to predict physical and environmental phenomena while refining their behaviour in real time with high assurance. This supports advancements in AI-driven solutions, optimization techniques, and robotics, enhancing system adaptability and precision across various domains.