Thomas Do

University of Technology Sydney

Papers

1

Total Citations

16

H-Index

1

About

Dr. Thomas Do is a leading innovator in the field of neural engineering, with a primary focus on developing next-generation brain–machine interfaces (BMIs). His research centers on creating noninvasive, high-fidelity sensors that bridge the gap between laboratory performance and real-world applicability. Dr. Do’s most notable contribution is his pioneering work on micropatterned epitaxial graphene sensors for electroencephalography (EEG), as detailed in his highly cited 2023 paper. This work directly addresses a critical bottleneck in BMI technology: the performance disparity between dry sensors and the gold-standard wet Ag/AgCl electrodes. By engineering graphene-based dry sensors, he has demonstrated a path toward accurate, reliable, and scalable neural recording without the inconvenience of conductive gels. With 16 citations, this foundational paper is already shaping the future of wearable neurotechnology. Dr. Do’s achievements are driving the transition of BMIs from controlled lab settings to practical, large-scale deployment, making him a key figure in the quest to unlock the full potential of human-machine integration.

Research Focus

Key Achievements

1
H-Index
1
Papers
16
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Noninvasive Sensors for Brain–Machine Interfaces Based on Micropatterned Epitaxial Graphene
16 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Technology Sydney

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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