Lingfeng Tang

University of Chicago

Papers

1

Total Citations

2

H-Index

1

About

Lingfeng Tang is a pioneering researcher at the forefront of stretchable electronics and neuromorphic computing, with a focus on creating intelligent, body-integrated systems. Their most notable contribution is the development of large-scale, intrinsically stretchable neuromorphic circuits that enable on-body edge processing of sensory data. This groundbreaking work, published in 2024, addresses the critical challenge of processing high-resolution, multi-modal data collected from wearable sensors directly on the human body or robots, eliminating the need for external computing. By combining the mechanical compliance of stretchable materials with the energy efficiency of neuromorphic architectures, Tang’s research paves the way for next-generation prosthetics, smart textiles, and human-machine interfaces. With their work already garnering attention in the field, Tang is recognized for pushing the boundaries of flexible electronics and artificial neural networks. Their achievements position them as a key innovator in the emerging domain of on-body intelligence, where sensing and computation seamlessly merge with the human form.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Large-scale stretchable neuromorphic circuits for on-body edge processing of sensory data
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: University of Chicago

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago