Sam W. Hutchings

University of Edinburgh

Papers

1

Total Citations

88

H-Index

1

About

Sam W. Hutchings is a leading researcher in computational imaging and high-speed 3D sensing, with a focus on pushing the boundaries of time-resolved imaging systems. Their most notable contribution is the development of hybrid-mode imaging techniques that combine single-photon avalanche diode (SPAD) arrays with guided upsampling, enabling unprecedented temporal resolution for applications ranging from fluorescent lifetime microscopy to time-of-flight depth sensing in autonomous vehicles. This work, published in 2020 and garnering 88 citations, addresses critical challenges in capturing dynamic scenes with high accuracy and speed. Hutchings’ research bridges the gap between hardware innovation and algorithmic efficiency, making high-speed 3D sensing more practical for real-world use. Their impact is evident in the growing adoption of SPAD-based systems in scientific and industrial domains, where their methods have improved depth perception and temporal analysis. By integrating advanced imaging with computational upsampling, Hutchings has opened new avenues for autonomous navigation, biomedical imaging, and beyond, establishing themselves as a key figure in the evolution of modern sensing technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
88
Total Citations
88
Avg Citations/Paper
🏆 Most Cited Paper
High-speed 3D sensing via hybrid-mode imaging and guided upsampling
88 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Edinburgh

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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