Saad Mubeen

Mälardalen University

Papers

5

Total Citations

28

H-Index

3

About

Saad Mubeen is a leading researcher at the intersection of real-time systems, robotics, and model-driven engineering. His work primarily focuses on the formal verification and timing analysis of robotic systems built on the Robot Operating System 2 (ROS 2), a platform increasingly critical for both research and commercial applications. Mubeen’s major contributions include pioneering pattern-based verification methods for ROS 2 nodes using tools like UPPAAL, and developing model-based methodologies that automate formal verification from execution traces. He has also conducted foundational experimental evaluations of callback behavior in ROS 2 executors, which are essential for predicting execution times in real-time robotic control. Beyond robotics, Mubeen has explored deadline-constrained job dispatching in edge computing systems, bridging real-time industrial embedded systems with cloud-edge paradigms. His work on multi-agent robot systems, particularly mobile robots interacting with humans in dynamic production environments, has garnered attention for its quantitative analysis of communication handling under high network loads. With papers accumulating citations steadily since 2022, Mubeen’s research is shaping the reliability and predictability of next-generation autonomous systems.

Research Focus

Key Achievements

3
H-Index
5
Papers
28
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Pattern-Based Verification of ROS 2 Nodes Using UPPAAL
9 citations · 2023
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Mälardalen University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago