Cristina Seceleanu

Mälardalen University, TU Dortmund University

Papers

8

Total Citations

65

H-Index

6

About

Cristina Seceleanu is a leading researcher in formal methods, model checking, and the verification of complex, safety-critical systems. Her work bridges the gap between theoretical computer science and practical engineering, with a particular focus on robotic systems and ambient assisted living (AAL). She has made major contributions to the automated verification of ROS 2-based applications, developing novel methodologies that combine model-driven engineering with formal verification tools like UPPAAL. Her research on "Pattern-Based Verification of ROS 2 Nodes Using UPPAAL" (2023) and "A Model-Based Methodology for Automated Verification of ROS 2 Systems" (2024) provides engineers with practical, scalable approaches to ensure the reliability of increasingly autonomous robotic platforms. Seceleanu has also advanced the verification of 5G network slicing, addressing critical service-level agreements in dynamic communication environments. Her work on statistical model checking of complex robotic systems (2019) and her exploration of integrated frameworks for ambient assisted living (2016) have each garnered 13 citations, demonstrating her impact on both formal verification and assistive technology. Through her research, Seceleanu is enabling the safe deployment of intelligent systems in healthcare, robotics, and telecommunications.

Research Focus

Key Achievements

6
H-Index
8
Papers
65
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Statistical Model Checking of Complex Robotic Systems
13 citations · 2019
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Mälardalen University, TU Dortmund University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago