Md. Kafiul Islam

National University of Singapore, Independent University

Papers

2

Total Citations

15

H-Index

2

About

Md. Kafiul Islam is a researcher whose work bridges bio-inspired computation and affordable biomedical technology. His key research areas include distributed sensor networks, bio-signal processing, and low-cost prosthetic control systems. One of his most notable contributions is a bio-inspired cooperative algorithm for distributed source localization with mobile nodes, published in 2013, which has garnered 11 citations. This work stands out for addressing a critical gap: enabling nodes to optimize without prior knowledge of the cost function, moving beyond traditional linear combination methods. In a more applied vein, Islam co-authored a 2018 paper on designing a low-cost EMG signal recorder for prosthetic arm control, tailored for developing countries like Bangladesh. With 4 citations, this work highlights his commitment to making human-machine interfaces—such as those using EMG, EEG, or EOG signals—accessible for physically disabled individuals in resource-limited settings. By tackling both theoretical algorithms and practical implementation challenges, Islam demonstrates a rare ability to connect abstract optimization with real-world impact, offering solutions that are both innovative and socially relevant.

Research Focus

Key Achievements

2
H-Index
2
Papers
15
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
A bio-inspired cooperative algorithm for distributed source localization with mobile nodes
11 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: National University of Singapore, Independent University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago