Muhammad Taimoor Khan

University of Greenwich

Papers

1

Total Citations

2

H-Index

1

About

Muhammad Taimoor Khan is a researcher whose work sits at the intersection of cyber-physical systems, digital twins, and smart city infrastructure security. His research addresses some of the most pressing challenges in modern computing environments, particularly focusing on how autonomous, distributed systems can be made safer and more resilient in dynamic operational contexts. His most notable contribution, "Challenges in Modelling Applications for Safe and Resilient Digital Twins" (2022), tackles the complex problem of ensuring reliability and safety in digital twin-based smart city infrastructures — systems that deliver real-time, critical services across interconnected cyber-physical environments. This work demonstrates Khan's keen understanding of how software applications must evolve to meet the demands of intelligent, autonomous systems operating at scale. While still building his citation profile in an emerging and rapidly growing field, his research addresses questions of fundamental importance as cities and industries worldwide accelerate their adoption of digital twin technologies. His contributions offer valuable frameworks for researchers and practitioners grappling with the modelling, safety, and resilience challenges inherent in next-generation smart infrastructure deployments.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Challenges in Modelling Applications for Safe and Resilient Digital Twins
2 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 0
🏛 Institutions: University of Greenwich

Top Papers

  1. 1

Contact & Links

Available for collaboration
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