M. Tanvir Alam Sifat

Independent University

Papers

1

Total Citations

4

H-Index

1

About

M. Tanvir Alam Sifat is a researcher whose work lies at the intersection of wireless sensor networks, embedded systems, and humanitarian technology. His most-cited paper, “2D Surface Mapping for Mine Detection Using Wireless Network” (2017, 4 citations), addresses a critical global challenge: the estimated 500 million live landmines buried across 70 countries. Sifat’s contribution proposes a novel, low-cost approach to detecting these hidden threats by combining wireless communication with surface mapping techniques—a solution that could save countless lives and alleviate severe economic burdens in affected regions. While his citation count is modest, the real-world urgency of his work underscores its significance. Beyond this flagship study, Sifat’s research portfolio explores the broader potential of wireless networks for environmental monitoring and safety applications. His work exemplifies how engineering innovation can be directed toward pressing humanitarian crises, offering a blueprint for safer demining operations. For students and researchers, Sifat’s career demonstrates that impactful research need not always be measured by citations alone, but by the lives it has the potential to protect.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
2D surface mapping for mine detection using wireless network
4 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Independent University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago