Azmat Ullah Khan Niazi

Papers

2

Total Citations

3

H-Index

1

About

Azmat Ullah Khan Niazi is a rising researcher in the field of advanced control systems, specializing in the resilience and security of multi-agent and robotic networks. His work sits at the critical intersection of nonlinear dynamics, fuzzy logic control, and cyber-physical security, addressing fundamental challenges in coordinating autonomous systems under duress. Niazi’s major contributions focus on developing robust and finite-time control strategies for leader-follower robotic systems and nonlinear multi-agent systems (MASs) that are vulnerable to sophisticated cyber-attacks. His most cited paper proposes a hybrid control strategy to achieve global fuzzy consensus even when follower robots are subjected to simultaneous sensor and actuator disturbances. In a related highly-cited work, he tackles the dual threats of actuator faults and deception attacks, ensuring system stability and performance. Though his publications from 2025 are already garnering citations, Niazi’s work is significant for its proactive approach to hardening autonomous systems—a crucial step for the safe deployment of drones, robotic swarms, and industrial automation in contested or hazardous environments.

Research Focus

Key Achievements

1
H-Index
2
Papers
3
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Fuzzy Logic-Based Robust Global Consensus in Leader-Follower Robotic Systems under Sensor and Actuator Attacks Using Hybrid Control Strategy
2 citations · 2025
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 9

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago