Daniel-Cristian Crăciunean
Papers
1
Total Citations
7
H-Index
1
About
Daniel-Cristian Crăciunean is a leading researcher in digital twin technology and model-based systems engineering, with a focus on advancing co-simulation platforms for industrial product lifecycle management. His most-cited work, "Comparison Between the HUBCAP and DIGITBrain Platforms for Model-Based Design and Evaluation of Digital Twins" (2022, 7 citations), provides a critical analysis of collaborative frameworks for digital twin deployment, highlighting the reliability of co-simulation as a foundational approach. Crăciunean’s contributions center on evaluating and improving platforms that enable seamless integration of digital twins into industrial processes, addressing key challenges in scalability and interoperability. His research has been instrumental in shaping sustainable, collaborative ecosystems for digital twin management, as evidenced by his work on HUBCAP and DIGITBrain. With a growing citation impact, Crăciunean’s studies are widely referenced by engineers and researchers seeking robust solutions for model-based design. His achievements include advancing the practical adoption of digital twins in manufacturing and cyber-physical systems, making him a notable figure in the field. For students and researchers, his work offers a clear roadmap for leveraging co-simulation to enhance industrial efficiency and innovation.
Research Focus
Key Achievements
Top Papers
- 1