Henrik Ejersbo

Aarhus University

Papers

2

Total Citations

11

H-Index

2

About

Henrik Ejersbo is a researcher at the forefront of cyber-physical systems and model-driven engineering, with a sharp focus on bridging the gap between simulation and reality. His work centers on the dynamic integration of runtime models into Digital Twins, enabling virtual replicas to reflect real-time physical system behavior. In his most cited work, "Dynamic Runtime Integration of New Models in Digital Twins" (2023, 8 citations), Ejersbo tackles the challenge of evolving cyber-physical systems post-deployment, ensuring that Digital Twins remain accurate and responsive. He further advances co-simulation interoperability with "RMQFMU: Bridging the Real World with Co-simulation" (2021, 3 citations), a plug-and-play tool that connects FMI2-based environments to external data streams via the AMQP protocol. This innovation allows engineers to feed historical or live data into simulations, enhancing testing and validation. Though early in his career, Ejersbo’s contributions are already shaping how complex systems are modeled, monitored, and maintained—a vital step toward smarter, more adaptive industrial systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
11
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic Runtime Integration of New Models in Digital Twins
8 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Aarhus University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago