Mohammad Komareji
Papers
1
Total Citations
27
H-Index
1
About
Mohammad Komareji’s research lies at the intersection of swarm intelligence, networked control systems, and complex dynamics. His most-cited work, “Consensus in topologically interacting swarms under communication constraints and time-delays” (2018, 27 citations), addresses a fundamental challenge in multi-agent systems: achieving coordinated behavior when agents have limited, delayed, and topology-dependent communication. Komareji’s contributions are pivotal for understanding how decentralized swarms—from drone fleets to robotic collectives—can reach consensus despite real-world constraints like bandwidth limits and signal lag. By modeling interactions based on topological proximity rather than fixed neighbors, he offers a more realistic framework for scalable swarm control. His work has been cited in studies on autonomous vehicles, distributed sensor networks, and biological collective motion. Komareji’s research bridges theoretical rigor with practical engineering, providing tools to design resilient, self-organizing systems. For students and researchers, his insights are essential for advancing the next generation of autonomous swarms that must operate reliably under imperfect conditions.
Research Focus
Key Achievements
Top Papers
- 1