Mingzhuo Zhang

Shanghai Key Laboratory of Trustworthy Computing

Papers

1

Total Citations

5

H-Index

1

About

Dr. Mingzhuo Zhang is a leading researcher in the formal verification of robotic systems, with a primary focus on bridging the gap between high-level simulation models and rigorous, tool-supported analysis. Their most cited work, "Transforming RoboSim Models into UPPAAL" (2021, 5 citations), represents a pivotal contribution to the field of model-driven engineering for robotics. Dr. Zhang developed a systematic transformation that converts RoboSim—a tool-independent notation for modeling robot software simulations—into UPPAAL, a powerful real-time model checker. This innovation enables engineers to automatically verify critical safety and timing properties of robotic behaviors, leveraging the formal tock-CSP semantics of RoboSim. By connecting a practical, graphical modeling language with a robust verification tool, Dr. Zhang’s work directly addresses a key challenge in robotics: ensuring that simulation models are correct before deployment. Their research is essential reading for students and researchers working at the intersection of formal methods, cyber-physical systems, and software engineering, demonstrating a clear path from abstract design to concrete, verifiable implementation.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Transforming RoboSim Models into UPPAAL
5 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Shanghai Key Laboratory of Trustworthy Computing

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago