Maximilian Weigand

Institute of Automation, Helmut Schmidt University

Papers

Total Citations

H-Index

About

Maximilian Weigand is a leading voice in the future of aerospace manufacturing, specializing in the intersection of automated production systems and model-based systems engineering. His work directly addresses the dual pressures facing the aviation industry: the urgent need for carbon-neutral technologies, such as liquid hydrogen propulsion, and the intensifying competition in the single-aisle market. Weigand’s most cited paper, “Challenges in Automated Commercial Aircraft Production” (2022, 23 citations), provides a critical roadmap for integrating game-changing technologies into existing production lines, a cornerstone reference for researchers and industry professionals alike. Building on this foundation, his recent work, “Integrating AI Planning Semantics into SysML System Models for Automated PDDL File Generation” (2025), pioneers a novel approach to system design. By creating a SysML profile that embeds Planning Domain Definition Language (PDDL) semantics directly into system models, Weigand enables the automated generation of planning files, bridging the gap between complex system architecture and AI-driven decision-making. This contribution is pivotal for streamlining the development of next-generation aircraft, marking Weigand as a key innovator in the push toward smarter, more efficient aerospace production.