Papers
2
Total Citations
22
H-Index
2
About
Kaixiang Kang is pioneering the frontier of neuromorphic computing by engineering flexible, bio-inspired electronic systems that mimic the human brain’s sensory processing. His research centers on carbon nanotube-based thin film transistor arrays, with a focus on developing artificial multisensory devices that integrate olfactory and visual cues for advanced human-computer interaction. In a landmark 2024 study, Kang fabricated carbon nanotube neuromorphic TFT arrays capable of olfactory-visual multisensory synergy recognition, demonstrating a novel pathway toward more intuitive AI systems. This work, which has already garnered 12 citations, showcases his ability to merge materials science with neural network principles. More recently, in 2025, he introduced ultralow-power, highly selective near-infrared (≈850 nm) flexible optoelectronic synaptic transistors, achieving real-time trajectory tracking with remarkable efficiency. This breakthrough, cited 10 times, holds promise for night monitoring, optical computing, and robotic vision. Kang’s contributions are defining a new class of energy-efficient, flexible neuromorphic hardware, positioning him as a rising leader in the quest for brain-like computing systems that can sense, learn, and adapt in real-world environments.
Research Focus
Key Achievements
Top Papers
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