Kenneth Lausdahl
Papers
2
Total Citations
14
H-Index
2
About
Kenneth Lausdahl is a leading researcher in model-driven engineering for cyber-physical systems, with a focus on digital twins, co-simulation, and safety-critical robotics. His work bridges the gap between theoretical models and real-time system behavior, enabling more reliable and trustworthy autonomous systems. Lausdahl’s most cited paper, “Dynamic Runtime Integration of New Models in Digital Twins” (2023, 8 citations), introduces a novel approach for seamlessly updating digital twin models after deployment, allowing complex systems to adapt without downtime. His earlier work, “Fault Injecting Co-simulations for Safety” (2021, 6 citations), pioneers the use of co-simulation tools to systematically inject faults into robotic systems—both single and fleet operations—to rigorously test safety guarantees before real-world deployment. This contribution is vital for ensuring that autonomous robots do not harm humans, equipment, or the environment. With a growing citation impact, Lausdahl is recognized for advancing practical, scalable methods that make model-driven development safer and more dynamic. His research is essential reading for engineers and scientists working on digital twins, safety verification, and the next generation of cyber-physical systems.
Research Focus
Key Achievements
Top Papers
- 1Dynamic Runtime Integration of New Models in Digital Twins8 citations · 2023
- 2Fault Injecting Co-simulations for Safety6 citations · 2021