Papers

2

Total Citations

18

H-Index

2

About

Lesheng Qiao is a rising researcher in the field of bio-inspired neuromorphic electronics, with a focus on developing flexible devices that emulate the sensory and computational functions of biological systems. Their work bridges the gap between artificial intelligence and biological fidelity, particularly through the design of neuromorphic transistors and sensory systems. Qiao’s major contributions include the development of flexible neuromorphic transistors for neuromorphic computing and perception, as detailed in their 2024 paper, which has already garnered 11 citations for its potential to overcome the limitations of conventional von Neumann architectures. More notably, their 2025 paper introduces a flexible spiking hair sensillum (FISH) that achieves ultralow power density noncontact perception, a breakthrough in target recognition without physical contact. This work, with 7 citations, addresses critical challenges in power efficiency and biological realism, offering a pathway toward more adaptive and energy-efficient artificial intelligent systems. Qiao’s research is paving the way for next-generation neuromorphic devices that could revolutionize robotics, prosthetics, and environmental sensing.

Research Focus

Key Achievements

2
H-Index
2
Papers
18
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Flexible neuromorphic transistors for neuromorphic computing and perception application
11 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Collaborative Innovation Center of Advanced Microstructures

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago