Yevgeny Beiderman

Agricultural Research Organization, Bar-Ilan University

Papers

2

Total Citations

12

H-Index

2

About

Yevgeny Beiderman is a pioneering researcher in the field of photonic remote sensing and biomedical monitoring, with a focus on developing non-contact optical systems for vital sign detection. His major contributions lie in creating innovative sensor technologies that combine lasers and cameras to extract physiological parameters—such as heart rate, breathing patterns, and chewing activity—from a distance, using self-interference phenomena. Beiderman's work has practical applications in both veterinary science and human rescue operations, as demonstrated in his most-cited paper, "Automatic solution for detection, identification and biomedical monitoring of a cow using remote sensing for optimised treatment of cattle" (2014, 10 citations), which showcases a robotic platform for livestock health monitoring. Additionally, his research on "Robotic Platform for Automated Search and Rescue Missions of Humans" (2013, 2 citations) extends these principles to life-saving scenarios, integrating optical systems with autonomous robots to detect human vital signs in disaster zones. Beiderman's interdisciplinary approach—merging optics, robotics, and biomedical engineering—offers a non-invasive, efficient alternative to traditional monitoring methods, making his work highly relevant for students and researchers interested in remote sensing, precision agriculture, and emergency response technologies.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Automatic solution for detection, identification and biomedical monitoring of a cow using remote sensing for optimised treatment of cattle
10 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Agricultural Research Organization, Bar-Ilan University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago