Papers
10
Total Citations
68
H-Index
4
About
Dr. Marian Daun is a leading researcher at the intersection of software engineering, model-based systems engineering, and safety-critical cyber-physical systems (CPS). Her work focuses on enabling safe and reliable collaboration between humans and autonomous systems, particularly in robotics and smart manufacturing. Daun pioneered the use of goal-oriented modeling languages, such as GRL, to formally capture dynamicity constraints and safety requirements for collaborative CPS architectures—a contribution demonstrated through her highly cited 2019 industrial case study (23 citations). She has also advanced early-stage safety analysis for human-robot collaborations, developing novel frameworks that integrate hazard operability analysis with generative AI (e.g., GPT-4) to proactively identify risks and mitigation strategies. Her recent work on model-based specification of robotic digital twins and modular safety control using Petri nets underscores her commitment to bridging theoretical models with practical engineering. With over 60 citations across her top publications, Daun’s research is shaping how engineers design, verify, and assure the safety of next-generation collaborative robotic systems. Notably, she also addresses the critical gap in software engineering education for technical engineering degrees, advocating for curricula that emphasize teamwork and social skills essential for robotics software engineering.
Research Focus
Key Achievements
Top Papers
- 1
- 2Goal modeling for collaborative groups of cyber-physical systems with GRL15 citations · 2019
- 3Safety Analysis of Human Robot Collaborations with GRL Goal Models7 citations · 2023
- 4
- 5Early Model-Based Safety Analysis for Collaborative Robotic Systems4 citations · 2024
- 6
- 7
- 8Towards a Modular Human-Robot Safety Control System Using Petri Nets2 citations · 2024
- 9
- 10Model-Based Specification of Robotic Digital Twins2 citations · 2024