Papers

6

Total Citations

148

H-Index

5

About

Ahmad Din is a leading researcher in swarm robotics and intelligent multi-agent systems, with a focus on real-world applications in smart agriculture, search and rescue, and urban-scale coverage. His most cited work, a 2022 paper on deep reinforcement learning for multi-agent area coverage in smart agriculture (77 citations), demonstrates his ability to integrate cutting-edge AI with practical robotic coordination. Din’s earlier foundational research on behavior-based swarm robotic search and rescue using fuzzy controllers (37 citations) and his cognitive agent-based model for multi-robot coverage at city scale (13 citations) established him as a pioneer in decentralized, autonomous systems. He has also made significant contributions to swarm communication, investigating networked robotics for surveillance and rescue operations (11 citations), and to collective collision avoidance through decentralized consensus algorithms (6 citations). His work on adaptively reconfigurable computing frameworks for intelligent robotics (4 citations) further highlights his expertise in hardware-software co-design for real-time robotic applications. With a career spanning over a decade, Ahmad Din’s research continues to shape the future of autonomous multi-robot systems, bridging theory and practice in complex, dynamic environments.

Research Focus

Key Achievements

5
H-Index
6
Papers
148
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
A deep reinforcement learning-based multi-agent area coverage control for smart agriculture
77 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: COMSATS University Islamabad, Politecnico di Torino

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago