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
Top Papers
- 1
- 2Behavior-based swarm robotic search and rescue using fuzzy controller37 citations · 2018
- 3A Cognitive Agent-based Model for Multi-Robot Coverage at a City Scale13 citations · 2017
- 4Investigation on communication aspects of multiple swarm networked robotics11 citations · 2019
- 5
- 6