Christopher Wolters received the first prize at the 2025 DKE Science-to-Standards Pitch. He was honored for his master’s thesis “Scalable Energy-Aware Optimization of Inference Across Multiple Chiplets,” in which he developed an advanced optimization framework for distributing AI workloads efficiently across multi-chip architectures. His work contributes to the development of future energy-efficient and scalable AI systems and was supported by the German Commission for Electrical, Electronic & Information Technologies (VDE/DKE).