Papers

2

Total Citations

72

H-Index

2

About

Kayhan Zrar Ghafoor is a leading researcher at the intersection of swarm robotics, blockchain technology, and intelligent communication systems. His most cited work introduces an efficient blockchain-based framework for cooperative decision-making in swarm robotics, addressing critical challenges in trust, security, and coordination among autonomous robot collectives. This pioneering approach has garnered 46 citations, establishing a foundational link between decentralized ledger technology and multi-agent robotic systems. During the COVID-19 pandemic, Ghafoor demonstrated the practical urgency of his expertise by authoring a highly influential study on preventing virus spread through information and communication technology. This work, with 26 citations, explored how digital tools—including contact tracing, data analytics, and telecommunication networks—could be mobilized for public health crises. His research consistently bridges theoretical innovation with real-world application, from securing robot swarms to leveraging ICT for epidemic containment. Ghafoor’s contributions are essential reading for students and researchers interested in the convergence of distributed intelligence, cybersecurity, and socially impactful technology.

Research Focus

Key Achievements

2
H-Index
2
Papers
72
Total Citations
36
Avg Citations/Paper
🏆 Most Cited Paper
An efficient blockchain‐based approach for cooperative decision making in swarm robotics
46 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Wolverhampton, Rajiv Gandhi University of Knowledge Technologies

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago