John Fitzgerald

Newcastle University

Papers

5

Total Citations

83

H-Index

4

About

John Fitzgerald is a prominent researcher specializing in the engineering of cyber-physical systems (CPS) and digital twins, with a particular focus on model-based design, co-simulation, and trustworthy system development. His work sits at the intersection of formal methods, systems engineering, and emerging digital technologies, making significant contributions to how complex, safety-critical systems are designed and validated. Fitzgerald's most impactful contribution, "Multi-modelling and Co-simulation in the Engineering of Cyber-Physical Systems: Towards the Digital Twin" (2019, 42 citations), helped establish foundational frameworks for understanding how digital twins emerge from rigorous multi-modelling approaches. This work paved the way for his co-authored book, *The Engineering of Digital Twins* (2024), which goes beyond popular conceptions of digital twins to address the fundamental questions researchers and practitioners must answer when building them responsibly. His ongoing research addresses the critical challenge of trustworthiness in digital twins, exploring what frameworks and tools are needed to ensure dependability in high-stakes applications ranging from national infrastructure to surgical robotics. More recently, he has turned attention to composing digital twins and fault injection techniques for robotic systems, pushing the field toward greater rigor and scalability. With nearly 80 citations across recent publications, Fitzgerald represents a leading voice in grounding digital twin engineering on solid scientific foundations.

Research Focus

Key Achievements

4
H-Index
5
Papers
83
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Multi-modelling and Co-simulation in the Engineering of Cyber-Physical Systems: Towards the Digital Twin
42 citations · 2019
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Newcastle University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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