Mohammad Moshirpour

University of Calgary

Papers

3

Total Citations

31

H-Index

3

About

Mohammad Moshirpour is a leading researcher in the engineering of dependable distributed and multi-agent systems. His primary focus is on detecting and mitigating **emergent behavior**—unwanted, unanticipated system-level properties that arise from the interactions of independently designed components. Moshirpour’s foundational work provides a rigorous, model-based methodology to identify these critical flaws during the **design phase**, rather than after costly deployment. His most influential paper, "A Technique and a Tool to Detect Emergent Behavior of Distributed Systems Using Scenario-Based Specifications" (2010, 20 citations), introduces a formalized approach using scenario-based specifications to preemptively analyze system requirements. This work, along with subsequent studies on multi-agent systems (2013, 7 citations), has established a core framework for ensuring reliability in complex, decentralized applications like robotics and information retrieval. By enabling engineers to "debug" system architecture before a single line of code is written, Moshirpour’s contributions directly reduce development risks and costs, making his research essential for anyone designing safe, predictable distributed systems.

Research Focus

Key Achievements

3
H-Index
3
Papers
31
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
A Technique and a Tool to Detect Emergent Behavior of Distributed Systems Using Scenario-Based Specifications
20 citations · 2010
📈 Most Prolific Year: 2010 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Calgary

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago