Navid Farazmand

Sharif University of Technology

Papers

1

Total Citations

5

H-Index

1

About

Navid Farazmand is a researcher whose work focuses on enhancing the reliability and fault tolerance of critical systems, particularly in robotics and industrial control applications. His key research areas include fault-tolerant computing, redundancy management, and distributed voting mechanisms. Farazmand’s major contribution is the development of a novel method to address the single point of failure in Triple Modular Redundancy (TMR) systems. In his most-cited paper, "A Solution to Single Point of Failure Using Voter Replication and Disagreement Detection" (2006), he introduced a distributed voting approach that leverages time redundancy and a disagreement detector to mask faults, ensuring continuous operation even when a voter component fails. This work, which has garnered 5 citations, is notable for its practical application in safety-critical environments where system downtime is unacceptable. Farazmand’s research provides a robust solution to a longstanding reliability challenge, offering engineers a cost-effective way to improve system resilience without sacrificing performance. His contributions are particularly valuable for students and researchers exploring fault-tolerant design in embedded and real-time systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
A Solution to Single Point of Failure Using Voter Replication and Disagreement Detection
5 citations · 2006
📈 Most Prolific Year: 2006 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Sharif University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago