Maximilian Wittmann

Friedrich-Alexander-Universität Erlangen-Nürnberg, Nordic Transport Development

Papers

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About

Maximilian Wittmann is a pioneering researcher at the intersection of artificial intelligence and engineering design, whose work is reshaping how complex systems are automated. His primary research areas span reinforcement learning for design automation, immersive technologies for behavior change, and data-driven engineering methodologies. Wittmann’s most significant contribution lies in demonstrating how reinforcement learning—traditionally applied to gaming and robotics—can be effectively transferred to engineering design automation, addressing critical limitations in data-driven approaches. His landmark 2022 paper on this topic has garnered 57 citations, establishing a foundational framework for AI-driven design processes. Additionally, Wittmann explores the application of immersive technologies to sustain long-term behavior change, particularly in sustainability and health contexts. His 2021 work on behavior change techniques through virtual environments, while newer, signals an important interdisciplinary direction. Through these contributions, Wittmann is bridging cutting-edge AI with practical engineering challenges, offering students and researchers a compelling model for applying computational methods to real-world design problems. His work continues to influence both academic research and industrial applications in design automation.