Tobias Stork

Papers

1

Total Citations

3

H-Index

1

About

Tobias Stork is a researcher at the forefront of optical metrology and digital holography, with a focus on integrating advanced sensing technologies into industrial production environments. His key research areas include multiwavelength digital holography, vibration detection in manufacturing systems, and the application of deep learning to improve measurement robustness. Stork’s major contribution lies in developing methods to detect and mitigate unknown, complex vibrations that degrade measurement quality in holographic sensor systems mounted on multi-axis robots or machine tools. His 2023 paper, “Detecting vibrations in digital holographic multiwavelength measurements using deep learning,” introduces a novel approach that identifies vibrations during early hologram reconstruction steps, enhancing the reliability of in-line production metrology. With 3 citations, this work represents a critical step toward real-time, high-precision optical inspection in dynamic industrial settings. Stork’s research bridges the gap between cutting-edge holographic techniques and practical manufacturing challenges, making him a notable figure in the field of optical engineering and smart factory technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Detecting vibrations in digital holographic multiwavelength measurements using deep learning
3 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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