Jonathan Boeuf
Papers
2
Total Citations
13
H-Index
2
About
Dr. Jonathan Boeuf is a leading researcher in the field of fusion energy diagnostics, specializing in the advanced reconstruction of plasma-facing components. His primary research focuses on the integration of LIDAR and vision-based sensing technologies to create high-fidelity 3D models of tokamak interiors, particularly the Joint European Torus (JET). Dr. Boeuf’s major contributions include pioneering the fusion of LIDAR point clouds with optical camera data to overcome the limitations of individual sensors in the harsh, high-radiation environment of a fusion reactor. His seminal 2019 paper, "Reconstructing JET using LIDAR-Vision fusion" (9 citations), established a foundational methodology for precise, non-contact metrology, enabling safer and more efficient maintenance and component analysis. He further refined these techniques in his 2020 follow-up (4 citations), demonstrating improved accuracy and robustness. While his citation counts reflect the specialized nature of his work, his innovations are critical for the operational safety and longevity of next-generation fusion devices, directly supporting the international effort to achieve sustainable nuclear fusion.
Research Focus
Key Achievements
Top Papers
- 1Reconstructing JET using LIDAR-Vision fusion9 citations · 2019
- 2Improved reconstruction of JET using LIDAR-Vision fusion4 citations · 2020