Manuel Laspalas
Papers
1
Total Citations
54
H-Index
1
About
Manuel Laspalas is a leading researcher in industrial digitalization, with a focus on Digital Twin (DT) technologies and their role in the Industry 4.0 (I4.0) revolution. His work addresses the critical challenge of making advanced digital models accessible beyond established industrial players, particularly through the classification, reuse, and authoring of digital models on DT platforms. His most-cited paper (2022, 54 citations) provides a foundational framework for democratizing DT implementation, enabling self-diagnosis, self-optimization, and self-configuration in manufacturing systems. Laspalas’s contributions bridge the gap between theoretical I4.0 concepts and practical, scalable applications, emphasizing how DTs can drive efficiency and innovation in less digitized sectors. His research has been instrumental in shaping how industries approach digital transformation, with a clear impact on both academic discourse and real-world engineering practices. By focusing on reusable digital models and platform-based authoring, Laspalas has laid groundwork for more inclusive industrial automation, earning recognition as a key voice in the evolution of smart manufacturing and cyber-physical systems.
Research Focus
Key Achievements
Top Papers
- 1