Papers

4

Total Citations

49

H-Index

3

About

Toan Huynh is a multidisciplinary researcher whose work spans two distinctive domains: construction robotics and point-of-care diagnostic technologies. Beginning in the mid-1990s, Huynh made early contributions to automated construction systems, developing object-oriented planning and control software for wall construction robots as part of the European ESPRIT III ROCCO project, with this foundational work garnering recognition within the robotics community. His research then evolved toward biomedical engineering, where he has focused on streamlining the development of lateral flow assays (LFAs) — rapid diagnostic tools widely used for pregnancy testing, infectious disease detection, and environmental monitoring. Huynh's most impactful contribution in this arena is his work on automated liquid handling robotic systems for LFA development, which has attracted 22 citations since 2022 and addresses a critical bottleneck in point-of-care diagnostics. By integrating design-of-experiment software with robotic liquid handling hardware, his team has significantly accelerated the optimization of these low-cost, accessible tests. Huynh's career reflects a compelling trajectory from industrial automation to life-saving diagnostics, demonstrating how robotics expertise can be powerfully applied to improve global health outcomes.

Research Focus

Key Achievements

3
H-Index
4
Papers
49
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Automated liquid handling robot for rapid lateral flow assay development
22 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Bellevue Hospital Center, Karlsruhe Institute of Technology, Karlsruhe University of Applied Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago