Nick Hahn

Stanford University

Papers

1

Total Citations

7

H-Index

1

About

Nick Hahn is a trailblazer in neural engineering and brain-computer interfaces (BCIs), with a focus on restoring motor function and enabling real-world control for individuals with paralysis. His most-cited work, a 2024 study on a high-performance BCI for finger decoding and quadcopter control, demonstrates his commitment to translating neural signals into practical, life-enhancing applications. By developing systems that decode individual finger movements with unprecedented speed and accuracy, Hahn addresses unmet needs in peer support, leisure, and sporting activities—areas often overlooked in assistive technology. His research bridges the gap between laboratory precision and everyday utility, achieving real-time control that empowers users to engage in social media, multiplayer gaming, and even drone piloting. With 7 citations on this flagship paper, Hahn’s impact is already resonating within the BCI community, where his work is recognized for its innovative fusion of high-performance decoding and user-centered design. His contributions not only advance neuroprosthetic capabilities but also highlight the importance of restoring autonomy and social connection, marking him as a rising leader in the field.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
A real-time, high-performance brain-computer interface for finger decoding and quadcopter control
7 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Stanford University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago