Behzad Yektakhah

University of Michigan–Ann Arbor

Papers

3

Total Citations

16

H-Index

3

About

Behzad Yektakhakh is pioneering the next generation of radar imaging systems, with a focus on subsurface and through-the-wall sensing. His research centers on developing high-resolution imaging techniques using distributed and robotic sensors, moving beyond conventional monostatic ground-penetrating radars. Yektakhakh’s major contribution is the introduction of bi-static transceivers and synthetic aperture radar (SAR) methods, which enable fast, high-resolution 3D imaging of buried targets and subsurface features. His 2019 paper on robotic bi-static transceivers has garnered 8 citations, while his 2018 work on distributed robotic sensors has 5 citations, reflecting growing interest in his approach. Notably, his 2014 work on all-directional through-the-wall radar imaging using mobile robots introduced a novel concept for building interior mapping without the need for large antenna arrays. By leveraging ad hoc networks of mobile transceivers, Yektakhakh is making radar imaging more flexible, scalable, and practical for real-world applications in security, infrastructure monitoring, and geophysical exploration.

Research Focus

Key Achievements

3
H-Index
3
Papers
16
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
High Resolution Subsurface 3D SAR Imaging Using Robotic Bi-Static Transceivers
8 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Michigan–Ann Arbor

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago