Papers
2
Total Citations
172
H-Index
2
About
Xinglai Zhang is a pioneering researcher at the intersection of advanced optoelectronics and neuro-inspired computing. His most impactful work centers on developing dual-mode devices that seamlessly integrate photodetection and neuromorphic vision sensing, a breakthrough that overcomes the fundamental speed discrepancy between these two functions. In his landmark 2023 paper, Zhang demonstrated a trench-bridged GaN/Ga₂O₃/GaN back-to-back double heterojunction architecture that achieves this dual-mode conversion simply by regulating bias voltage on a single device—an elegant solution to a long-standing challenge. This work has garnered 169 citations, reflecting its significance for next-generation intelligent imaging systems. Beyond optoelectronics, Zhang applies his engineering expertise to biomedical rehabilitation, investigating how lower-extremity exoskeleton robots can improve gait and postural control in stroke patients through dual-task training. His research spans from fundamental materials science to practical therapeutic applications, demonstrating rare versatility. Zhang’s contributions are shaping the future of neuromorphic vision sensors and robotic rehabilitation, making him a notable figure in both fields.
Research Focus
Key Achievements
Top Papers
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