Alexander Schieweck
Papers
2
Total Citations
38
H-Index
2
About
Alexander Schieweck is a leading researcher at the forefront of Cyber-Physical Systems (CPS) and Industry 4.0, with a sharp focus on solving the critical challenge of interoperability. His most influential work, "The Interoperability Challenge: Building a Model-Driven Digital Thread Platform for CPS" (30 citations), establishes a foundational platform approach for managing the heterogeneity of modern, interconnected systems. By advocating for a model-driven digital thread, Schieweck provides a blueprint for seamless data and process integration across complex system-of-systems projects. Expanding on this, his research into "Towards Engineering Digital Twins by Active Behaviour Mining" (8 citations) pioneers novel methods for dynamically constructing digital twins, moving beyond static models to capture and replicate real-world system behaviours. Schieweck’s contributions are pivotal for engineers and researchers striving to build cohesive, intelligent infrastructures in the age of smart manufacturing and CPS, offering both theoretical frameworks and practical pathways for achieving true system interoperability.
Research Focus
Key Achievements
Top Papers
- 1
- 2Towards Engineering Digital Twins by Active Behaviour Mining8 citations · 2021