Alexander Barzilov

University of Nevada, Las Vegas

Papers

8

Total Citations

63

H-Index

5

About

Alexander Barzilov is a researcher specializing in nuclear detection technologies, radiation sensing, and the integration of advanced detector systems with robotic and unmanned aerial platforms. His work sits at a compelling intersection of nuclear engineering, remote sensing, and autonomous systems, addressing critical challenges in radiation safety, environmental monitoring, and nuclear security. Barzilov's most significant contributions center on deploying radiation detection systems aboard unmanned aerial systems (UAS) and ground vehicles to enable safe, remote monitoring of hazardous radiological environments. His most-cited work, "Low-altitude contour mapping of radiation fields using UAS swarm" (2019, 20 citations), demonstrated how coordinated drone swarms could map radiation fields with precision, reducing human exposure risk considerably. He has pioneered the use of CLYC scintillator detectors — capable of simultaneously detecting both gamma rays and neutrons — integrated into robotic platforms using frameworks like ROS, expanding the versatility of field-deployable sensing systems. Beyond aerial platforms, Barzilov has contributed to neutron-based material classification techniques and investigated radiation effects on robotic electronics, addressing practical durability concerns in nuclear environments. His body of work, accumulating over 60 citations, represents meaningful advances in keeping personnel safe while maintaining robust radiological situational awareness in some of the most challenging operational environments imaginable.

Research Focus

Key Achievements

5
H-Index
8
Papers
63
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Low-altitude contour mapping of radiation fields using UAS swarm
20 citations · 2019
📈 Most Prolific Year: 2019 (5 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Nevada, Las Vegas

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago