Sebastian Thiede

Sebastian Thiede is a Full Professor specializing in Manufacturing Systems, with extensive research contributions to Smart Industry, Sustainable Manufacturing, and Human-Centered Production. His work bridges advanced technologies like Machine Learning, Simulation, and Artificial Intelligence with industrial applications, addressing critical challenges in Circular Economy, Energy Efficiency, and Factory Decarbonization.

• Research focuses on Battery Manufacturing, Edge Computing, and Real-Time Locating Systems (RTLS).
• Key methodologies include Digital Twinning, Surrogate Modeling, and Data-Driven Process Optimization.

Recent publications highlight trends in Autonomous Sensor Data Analysis (2025), Cyber-Physical Architectures for reconfigurable systems, and Circular Transition Methodologies for manufacturing. His work often integrates Human Factors with Smart Automation, emphasizing environmental and economic impacts.